Backward translation of circular RNAs

Backward translation of circular RNAs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Biological Sciences - Article Backward translation of circular RNAs Yufeng Yang, Zhe Lin, Xiang-You Pi, Ziwei Lv, Tian-Liang Liu, and 12 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5558507/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Despite advancements in understanding protein synthesis, numerous eukaryotic proteins might have been overlooked and remain elusive. RNA translation, proceeding in the 5’ end-to-3’ end direction exclusively, has been recognized as the norm for nearly a century. Here, we report a novel translation mode called ‘backward translation’ (BT) of circular RNAs, in which the triplet codons of circular RNAs can be decoded in the 3’ to 5’ direction to synthesize polypeptides/proteins, e.g., 5’-GUA-3’ as the start codon, instead of the conventional 5’-AUG-3’. Backward translation occurs broadly and conservatively as our comprehensive analysis of available transcriptomes, proteomes and translatomes revealed over 990,000 BT polypeptides/proteins across various tissues and species, including over 90,000 human BT proteins with dual experimental evidence from ribosome profile sequencing and mass spectrometry. Intriguingly, these proteins exhibit unique sequences and structural characteristics that distinguish them from conventional proteins. We studied in-depth BT of human hs.circCAPN15 and Drosophila dm.circSCRIB in vitro and in vivo, respectively. Both knock-out/knock-in and overexpression experiments confirmed the endogenous presence of BT proteins and highlighted their biological functions through pronounced phenotypic changes. Moreover, engineered exogenous circRNAs can be successfully backward-translated into proteins in human cells using synthetic Backward Translation Initiator Sequences (BTISs) derived from humans or Drosophila. In conclusion, our findings offer an unprecedented perspective to the genetic code and RNA translation, further unveiling the hidden proteome and elucidating the molecular diversity in living organisms, and potentially opening up a new frontier for exploring protein synthesis with broad practical implications. Biological sciences/Molecular biology/Translation Biological sciences/Genetics Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Main (Introduction and Results) The exact number of human proteins has remained debatable for decades. The recent release of the human telomere-to-telomere (T2T) genome in 2022 provides the most complete genomic annotation to date 2 , identifying 136,194 coding sequence (CDS) (GRCh38.p14), excluding those for immunoglobulins and T-cell receptors. However, the growth of the known human protein space appears to stagnate when relying solely on the human genome and mRNA datasets. A significant number of spectra in human mass spectrometry (MS) data remain unmatched with proteins in reference databases 3 , such as UniProt 4 and NCBI Refseq 5 , indicating that the protein-coding capacity of the human genome and others may be underreported. This issue persists despite considerable efforts to analyze MS data using artificial intelligence and other computational methods 6 . Recent studies are increasingly recognizing that non-coding RNAs (ncRNAs) such as long ncRNAs (lncRNAs) and circular RNA (circRNA) can be translated into proteins or polypeptides 7-9 . These translatable ncRNAs and circRNAs indeed contribute to a portion of the peptides found in unresolved spectrometry data 10 . CircRNAs are characterized by a covalently closed RNA structure generated via back-splicing and lacking a 7-methylguanosine (m 7 G) cap structure and provide a new perspective on protein synthesis 11 . Current studies suggest that circRNA-mediated translation occurs through a non-canonical cap-independent mechanism, which may require particular features, such as internal ribosomal entry sites (IRES)-like sequence, N6-methyladenosine (m 6 A) modification, or a Kozak sequence for translation initiation 12-14 . Based on these theories, over 328,080 circRNAs have been predicted to be translatable 15 . Unfortunately, many predicted protein products of circRNAs lack supporting mass spectral evidence, likely owing to low protein abundance or incorrect prediction. Still, many unmatched peptides exist even after thorough search of human genome. It seems that relying grounding on present protein translation theories is no longer an optimal strategy to discover new proteins. The unique closed-loop structure of circRNAs stimulates our imagination and exploration. In this study, we report a completely novel translation mode wherein the triplet codons of circular RNAs can be decoded along the 3’ to 5’ end direction to synthesize proteins or peptides (hereafter, we use the term ‘proteins’ to include both proteins and peptides.). In this translation mode, 5’-GUA-3’ codon, instead of the conventional 5’-AUG-3’, is used for translation initiation. Translation proceeds via decoding triplet genetic codes in the 3’ to 5’ direction along the circRNA until one of the stop codons 5’-AAU/AGU/GAU-3’ (instead of the conventional 5’-UAG/UGA/UAA-3’) is encountered ( Fig.1a ). Ascribed to the decoding direction, we named the new translation mode as ‘backward translation’ (BT), which is the opposite direction to the conventional 5’-to-3’ forward translation (FT). Notably, the backward translation differs from the ‘complementary transcript translation’, in which linear mRNAs are decoded in the conventional 5’ to 3’ direction. The complementary translation simply uses transcription in the opposite orientation and generates a mRNA that is complementary to the genome-annotated CDS and, hence, a different coding sequence ( Extended Data Fig.1 ). Ubiquitous but Conserved Presence of CircRNA-medicated Backward Translation We utilized the CIRIT software 16 to identify 114,342 circRNAs from 379 transcriptomes, including those from humans, mice, zebrafish, fruit flies, nematodes, and yeasts. Additionally, we obtained 1,532,085 circRNA sequences from various public circRNA databases ( Supplementary Table 1 ). Based on these circRNA sequences, we predicted 2,674,362 potential backward (BW) ORFs (>50 nucleotides, including 2,264,360 in humans) in 1,163,848 potentially backward translatable circRNAs (including 878,882 in humans) using our self-coded trCIRIT ( Fig.2a) . Using these backward ORFs as the reference, we performed a peptide search across 6,112 mass spectrometry (MS/MS) raw data ( Supplementary Table 1 ) to identify the backward-translated peptides in the spectra ( Fig.1b and Extended Data Fig.2a ). Moreover, we acquired 493 ribosome profiling (Ribo-seq) translatomes from multiple sources ( Supplementary Table 2 ), capturing ongoing BT events by identifying specific RNAs aligned to circRNA BW ORFs ( Fig.1b and Extended Data Fig.2b ). Across various species and tissues, we detected 376,012 BT proteins supported by MS data and 708,096 BT proteins supported by Ribo-seq data, including 507,917 human BT proteins supported by Ribo-seq and 372,511 human BT proteins supported by MASS data ( Fig.2a ). Remarkably, there are 90,993 human BT proteins with dual experimental evidences from Ribo-seq and MS, over fourfold the number of 20,428 ‘reviewed’ human proteins in the latest UniProtKB ( Fig.2a and Table 1 ). Overall, about 37% of the potentially translatable circRNAs were supported by either Ribo-seq or MS data, and about 5% were supported by both. For human circRNAs, around 10% are supported by both Ribo-seq and MS evidences. We further found that longer circRNAs were more likely to translate into proteins (with ORFs) ( Fig.2b ). Among the circRNAs with BW ORFs, most were exon containing (61.74%, Fig.2c ), followed by the intronic type (27.7%, Fig.2c ). This composition differed slightly from that of circRNAs with forward (FW) ORFs (67.34% exonic and 18.21% intronic) and untranslatable circRNAs (73.07% exonic and 18.19% intronic) ( Fig.2c ). For the BT proteins, most (approximately 69%) were small with sequence lengths ranging from 20 to 60 amino acids, approximately eight times shorter than those of 448,803 known proteins produced by linear mRNAs (derived from UniProtKB, including both reviewed and unreviewed entries.) ( Fig.2d ). The longest BT protein identified in this study was 695 amino acids long, encoded by yeast circRNA sc. circFLO11 (1,042 nt) and supported by MS evidence. Among the BT proteins, 852,169 were short proteins that did not cross the back-splicing junctions (BSJs), 134,974 crossed the BSJ once, and 4,367 underwent rolling translation by crossing the BSJs multiple times ( Fig.2e ). CircRNA-mediated BT was observed across several species, from simple unicellular organisms, such as yeast, to complex multicellular organisms, such as mice and men ( Fig.2a ). Based on the MS proteome data and Ribo-seq transcriptome data collected in this study, approximately 80% of BT proteins were species-specific, while the remaining proteins exhibited varying degrees of sequence conservation across at least two organisms ( Fig.2f and Supplementary Table 2-1 ). Eleven conserved BT proteins were identified across four multicellular organisms: D. melanogaster , D. rerio, M. musculus , and H. sapiens . A typical example of the conserved BT events is presented by circUBC. The UBC host gene (parent gene), which encodes Polyubiquitin-C, plays a crucial role in regulating protein ubiquitination. Our analysis revealed that UBC generated 75 homologous and analogous circRNAs across the four studied species, generating 43 distinct BT proteins ( Supplementary Table 2-2 ). Among the homologous circUBCs, circUBC_228nt underwent BT in D. melanogaster and H. sapiens , producing a BSJ-crossing protein of 66 amino acids respectively. The BT proteins exhibited high sequence conservation (identity > 50%) and slight structural similarity (RMSD= 14.275Å). In contrast, circUBC_228nt from D. rerio and M. musculus did not yield similar BT proteins ( Fig.2g ), likely due to a mutation of the backward start codon GUA. Instead, circUBC_228nt in D. rerio translated into a shorter peptide of 22 amino acids. In humans, BT occurs across various tissues. Of the 764,200 human BT proteins, 666,207 proteins were tissue-specific, while 97,993 proteins (approximately 12.82%) were conserved in more than two tissues ( Fig.2h ). The number of BT proteins varies by tissues, depending on dataset availability and quality, particularly for MS proteomes. Sequential and Structural Features of Backward-Translated Proteins In contrast to conventional translation products derived from circRNAs, which are often truncated versions of their host proteins (perhaps with a different C-terminal sequence compared to the sibling proteins or haboring a multiple of the same domains) 9 , BT proteins exhibit unique sequences, very distinct from the proteins encoded by the corresponding canonical linear mRNAs due to the 3’ to 5’ decoding direction. We conducted a thorough alignment of BT proteins with existing sequences in the UniProtKB protein database. This alignment did not yield any highly similar sequences, defined as having both sequence identity and coverage exceeding 80%, respectively. Furthermore, we blasted 789,435 human BT proteins against 2,531,100 known human peptides in the PeptideAtlas database 17 which also failed to identify any highly similar peptides under the same criteria. Additionally, we utilized the SMART server 18 to search for genetically domains from ORFs harbored by mobile elements or domain architectures within the BT proteins, but no known domains were found. An extensive search of the PROSITE database 19 identified 336 PROSITE motifs, found in approximately 80% of all BT proteins ( Supplementary Table 3 ). The top 10 most common motifs accounted for 99.38% of the BT proteins containing PROSITE motifs. Many of these common motifs are associated with post-translational modifications, such as protein kinase C phosphorylation, indicating potential biological functions. The expression levels of BT proteins were, on an average, approximately 200‐fold lower than those of the host proteins ( Extended Data Fig.3a ). We examined the correlation between the abundance of circRNAs and the BT proteins they produced using a parallel transcriptome/proteome dataset from 70 liver samples (dataset ID: PXD006512) 20 . No significant linear regression relationship was observed between BT proteins and their corresponding circRNAs (coefficient R 2 = 1 e -3 ) or proteins ( R 2 = 4 e -6 ), respectively ( Extended Data Fig.3b, c ). Furthermore, we selected five BT proteins of varying lengths, modelled their structures with AlphaFold ( Extended Data Fig.3d ), and aligned these structures with existing 542,337 AlphaFold-modeled structures (https://alphafold.com/download) using the K-means method. Based on the alignment, only very few similar structures in known proteins were detected ( Extended Data Fig.3d ). Notably, these five BT proteins characterized by a high content of loop-rich and conformational flexibility. Endogenous Validation of Backward Translation To validate endogenous backward translation in cells, we selected a human circRNA hs. circCAPN15, which, as shown in our previous analysis, can be backward-translated into a protein ( hs .circCAPN15_ bt _ p ) in HeLa cells. In the human genome, hs. circCAPN15 resides in the intronic region of CAPN15 and was predicted to encode a BT protein of 234 amino acids (117.33 KD) protein. The host gene CAPN15 has been shown to regulate cellular proliferation, growth and migration 21 . First, we examined the generation of hs. circCAPN15 with RT-PCR, using the specially designed divergent primers ( Supplementary Table 4 ). We verified by RNase R treatment that hs. circCAPN15 was indeed circular, which digests linear RNA species but not circular transcripts. The expected target band observed after the RNase R treatment confirmed the presence of circRNAs ( Extended Data Fig.4a ). We then generated antibodies to specifically recognize the BT protein product. Immunofluorescence assays detected strong fluorescence signals in the cells, predominantly localized in the cytoplasm ( Fig.3b ), confirming the endogenous backward translation of hs. circCAPN15. The specificity of the customized antibodies was further confirmed by gene knock-out experiments shown below. Furthermore, we conducted a gene knock-in experiment in HeLa cells via inserting the reversed ORF of the red fluorescent protein mScarlet3 into the genomic locus of hs .circCAPN15 circRNA, in-frame preceding the backward stop codon (5’-AGT-3’) using CRISPR/Cas9 technology ( Fig.3a ). Sanger sequencing verified the correct knock-in ( Extended Data Fig.4c ). The successful knock-in of mScarlet3 produced prominent red fluorescence in the HeLa cells, which could only be achieved by circRNA formation through back-splicing, followed by backward translation ( Fig.3 a, c ). Moreover, the red fluorescence overlapped with the green fluorescence signal from antibody staining of hs. circCAPN15 BT proteins ( Fig.3c ), further confirming the success of knock-in design. In contrast, wild-type HeLa cells exhibited only green signals for hs. circCAPN15_ bt _ p ( Fig.3c ). The WB experiment also confirmed the successful knock-in of mScarlet3 ( Fig.3d ) To validate the endogenous backward translation event in vivo , we explored dm .circSCRIB in Drosophila as an example because the SCRIB host gene is essential in Drosophila development 22 . A BT protein of 185 amino acids was predicted to be encoded by dm. circSCRIB. The circular RNA transcript was verified with RT-PCR after RNase R treatment ( Extended Data Fig.4b ). Using customized antibodies, we detected strong immunofluorescence signals of the BT proteins produced by dm .circSCRIB in the brain, eye, wing and salivary gland of third-instar fly larvae ( Fig.3e ). As dm. circSCRIB is located within an exon of the SCRIB host gene (located on the complementary strand), we adopted a knock-out strategy by introducing a point mutation of backward start codon (5’-GUA-3’ to 5’-GUG-3’) to disrupt the backward translation of dm. circSCRIB. Meanwhile, the KI operation introduced synonymous mutations into the coding region of the host gene and the encoded product of SCRIB remained unaltered ( Fig.3f ). Immunostaining with anti- dm. circSCRIB _bt_p antibodies showed a significant reduction in the target BT protein signal in the wing discs and salivary glands of KO fly larvae, implicating the successful elimination of dm. circSCRIB _bt_p ( Fig.3g ). The loss of dm. circSCRIB _bt_p was not due to the loss of transcript of dm. circSCRIB, as RT-PCR assays showed no significant difference in dm. circSCRIB transcript levels between KO flies and controls ( Extended Data Fig.4d ), suggesting disruption of backward translation of dm. circSCRIB. Furthermore, expression of the SCRIB host gene and host protein was not affected by the targeted knock-out of dm. circSCRIB _bt_p ( Fig.3h and Extended Data Fig.4e ). Collectively, these results strongly support the natural occurrence of circRNA-mediated backward translation. Application of Backward Translation to Synthetic Biology We then investigated the potential application of circRNA-mediated backward translation in synthetic biology, specifically for generating BT proteins in vitro . We designed the BT in vitro expression plasmid based on the commercial plasmid Addgene #69909, which had been shown to be effective for circRNA-mediated conventional FT translation 23 . BT protein synthesis was designed by incorporating two split reverse eGFP (enhanced green fluorescence protein) ORF segments and the reverse EMCV-IRES element in the plasmid construct, namely circ-(bw)-eGFP ( Fig.4a ).The green fluorescence signal of eGFP could be detected only if these two split reverse eGFP ORF segments were correctly circularized and expressed via backward translation ( Fig.4b ). HEK-293T cells transfected with this engineered circ-(bw)-eGFP construct displayed a strong green fluorescence signal, indicating successful circularization ( Fig.4c ) and BT-mediated protein synthesis ( Fig.4d ). We hypothesized that unique initiation elements facilitate the backward translation of circRNAs, akin to atypical cap-independent mechanisms in conventional circRNA forward translation. These elements may include vertebrate IRES-like sequences, 6nt IRES-like sequences, Kozak sequence, as well as m 6 A modification, etc 8 . We analyzed 426,392 BT circRNAs and identified that approximately 72.77% of circRNAs were predicted to contain potential IRES-like sequences. None of these circRNAs possessed any 6nt IRES-like short sequences or Kozak sequences; however, approximately 48.62% circRNAs were predicted to contain m 6 A modifications ( Fig.4e and Supplementary Table 5 ). Furthermore, we conducted motif enrichment analysis on 73,331 human backward translatable circRNAs with MS evidences, using MEME v5.3.0 22 . The analysis identified enriched motifs likely contributing to translation initiation ( Supplementary Table 6-1 ). The most prevalent motif was ‘TCCCA…TGGGA’, which can form a stable stem structure and was likely central to backward translation initiator sequences (BTISs) ( Fig.4f ). We then utilized MAST v4.11.2 software to search for the motif sequences containing the ‘TCCCA…TGGGA’ motif in the backward translatable circRNAs, discovering approximately 10% of the circRNAs contained the motif ( Supplementary Table 6-2 ). To validate our analysis, we extracted three distinct sequences containing the BTIS motif from hs .circHSH2D, hs .circITIH4, and hs .circMGC27382 to initiate backward translation of circ-(bw)-eGFP described as above. Secondary structure simulation of circ-(bw)-eGFP showed that these three BTISs formed stem-loop structures preceding the (bw)-eGFP ORF ( Fig.4g and Extended Data Fig.5a ). Notably, for the BTISs derived from hs .circITIH4 and hs .circMGC27382, the “TCCCA…TGGGA” motif did not form the stem-loop structure directly after insertion into the circ-(bw)-eGFPs. However, transfection of these plasmid constructs into HEK-293T cells all successfully elicited green fluorescence, indicating the backward translation of circ-(bw)-eGFP ( Fig.4h, i and Extended Data Fig.5b ). Mutation experiments that either disrupted the stem structure of the ‘TCCCA…TGGGA’ motif or altered the backward start codon (5’-GUA-3’ → 5’-GCA-3’) hindered the backward translation of circ-(bw)-eGFP ( Fig.4g-i ). In addition, we extracted two BTISs from hs .circCAPN15 and one BTIS from hs .circIFITM1, all of which exhibited typical stem-loop structures but lacking the ‘TCCCA…TGGGA’ motif ( Extended Data Fig.5c ). The placement of these BTISs before the (bw)-eGFP ORF all successfully drove the backward translation ( Extended Data Fig.5d ). Notably, both BTISs from different regions of hs. circCAPN15 were able to initiate BT, indicating the presence of multiple BTISs within a single circRNA. We then examined the conservation of these BTISs across species, extracting two BTISs from Drosophila , specifically dm .circSCRIB and dm .circUNC-5( Extended Data Fig.5e ). Both Drosophila elements facilitated the backward translation of circ-(bw)-eGFP in HEK-293T cells ( Extended Data Fig.5f ). Collectively, we conclude that a stable stem-loop is essential for initiating circRNA-mediated backward translation. The novel mode of backward translation is reproducible, controllable, and stable, suggesting the engineering potential for various biological applications. Evidence of Biological Functions of Backward-translated proteins Backward translation of circRNAs is prevalent across species and tissues as demonstrated above. This indicates that the encoded proteins may have biological functions. To investigate this, we employed CRISPR/Cas9 technology to disrupt the backward translation of hs. circCAPN15. In the human genome, hs. circCAPN15 resides in intron region of CAPN15 ( Extended Data Fig.6a ). We constructed three knock-out (KO) HeLa cell lines ( hs. circCAPN15_ bt_p_ko ), which included a translation start codon deletion and two frame-shift mutations which resulted into truncations, to disrupt the normal synthesis of the target BT protein ( hs. circCAPN15_ bt_p , 234 amino acids, 25.51 KD) ( Fig.5a ). Immunofluorescence assays confirmed the loss of the predicted protein ( Fig.5b ). In contrast, the transcript of hs. circCAPN15 remained almost unaltered in the KO cell lines, further confirming that protein loss occurred post-transcriptionally ( Extended Data Fig.6b ). Most importantly, the site-specific knock-out of hs. circCAPN15 _bt_p did not to affect the transcription or translation of the CAPN15 host gene ( Fig.5c and Extended Data Fig.6c ). Following the knock-out of hs. circCAPN15_ bt_p , the growth of HeLa cells increased by approximately twofold after 14 days of culture compared to wild-type controls ( Fig.5d and Extended Data Fig.6d ). In wound healing assays, all three KO cell lines exhibited comparatively better healing capability at 72 hours, indicating that the absence of hs. circCAPN15_ bt_p may promote cell migration ( Fig.5e and Extended Data Fig.6d ). Furthermore, overexpression of hs. circCAPN15_ bt_p with a conventional linear RNA template significantly suppressed the growth and healing capacity of the HeLa cells ( Fig.5d ). Note that this overexpression led to an increased abundance of hs. circCAPN15_ bt_p in the cells ( Extended Data Fig.6f ) without significantly altering the levels of CAPN15 host protein ( Fig.5b ). These results clearly indicate that the BT protein encoded by hs. circCAPN15 can suppress cellular growth and migration in vitro . To explore the potential roles of BT proteins in vivo , we characterized the previously generated dm. circSCRIB_ bt_p KO line. Homozygous dm. circSCRIB_ bt_p KO larvae flies exhibited abnormal wing disc shape and pronounced apoptotic signals ( Fig.6a, b ). Additionally, the KO flies failed to survive beyond the pupal stage and eventually died within the pupae ( Fig.6a ). The wing size of adult dm. circSCRIB _bt_p KO heterozygotes show a significant increase ( Fig.6c and Extended Data Fig.7b, c ). These findings underscored the critical role of dm. circSCRIB _bt_p in Drosophila development. We then employed the Drosophila GAL4/UAS binary systems to drive tissue-specific overexpression of dm. circSCRIB_ bt_p , using a conventional linear coding template ( Fig.6d and Extended Data Fig.7d, 8a ). Ectopic overexpression of dm. circSCRIB_ bt_p in the fly compound eyes resulted in a pronounced rough eye phenotype ( Fig.6e and Extended Data Fig.7a, e, 8b, c ). Additionally, specific overexpression driven by Hh-GAL4 led to a significant reduction in wing size, with wings appearing approximately 2.17-2.14% shorter and 10.29-6.75% narrower at 0 and 14 days post‐eclosion than those of the control flies ( Fig.6f and Extended Data Fig.7b, f, 8d, e ). Using Sca-GAL4, which targets both the eyes and the wings, ectopic overexpression of dm. circSCRIB_ bt_p also caused rough eye phenotype at 14 days post‐eclosion ( Fig.6g and Extended Data Fig.7g, 8f, g ) and resulted in a significant decrease in wing size, with wings being approximately 2.04-5.31% shorter and 10.00-15.27% narrower at 0 and 14 d post‐eclosion, respectively ( Fig.6h and Extended Data Fig.7h, 8h, i ). Collectively, along with the accompanying paper detailing more extensive Drosophila studies, these findings highlighted the critical roles of BT protein products derived from Drosophila circRNAs in vivo . Discussion In eukaryotes, cap modifications and poly(A) tails regulate the translation of linear mRNAs 24 . In response to stressful pathological conditions, such as cancers, diabetes, and neurological disorders, cells may initiate cap-independent translation, likely aided by IRES or cap-independent translational enhancers 25 . Common knowledge suggests that protein synthesis initiates in linear mRNAs or circRNAs along the 5’ to 3’ direction, regardless of cap-dependent or non-canonical cap-dependent mechanisms. In this study, we report the groundbreaking findings of 3’ to 5’ backward translation (BT) in eukaryotes. Experiments in human cells and Drosophila confirm that BT of circRNAs occurs naturally, and that proteins synthesized through BT mode have critical functions. The circRNA-mediated BT represents a novel cellular phenomenon that is widespread across species. One of the most intriguing puzzles related to this groundbreaking discovery must be how the translational apparatus initiates and elongates translation with circRNAs as template in the 3’ to 5’ end direction. Translation initiation is a highly regulated process with the orchestrations of various cis - and trans -acting factors. These factors include ribosomal subunits, translation factors (initiation, elongation and termination), tRNAs, nucleotide repeats sequences, 5’ and 3’ UTR, secondary structures of RNAs, mRNA-binding proteins, and more. Our findings implicate that BT shares the fundamental principles of canonical translation in eukaryotes. BT and FT share the same codon table, requiring both a start codon and an open reading frame. Additionally, we demonstrated that EMCV-IRES and BTIS from BT circRNAs can initiate both BT and FT, suggesting that BT may use the same translation initiation mechanism as FT. Specifically, the circle of circRNAs might impose both spatial constraints and flexibility on the translation super-complex to allow decoding in the 5’ to 3’ and 3’ to 5’ directions, respectively. The most pressing question is, whether translation could at all precede in the 3’ to 5’ direction. There is some precedent of ribosome movement in both orientations, such as the ribosomal frameshifting by bone nucleotide backwards (-1) resulting in usage of a different reading frame from that point 26 . Even further in the 3’ to 5’ direction is the back translocation of the ribosome mediated by the LepA translocation factor 27 , albeit by only one triplet and LepA/EF4 is restricted to bacteria and absent in eukaryotes except for mitochondria and chloroplasts 28 . Nevertheless, it shows that the (circular) mRNA might not be a one-way street, despite the challenging mechanistic considerations. Examining the sequences of BT circRNAs, especially the BTISs, reveals several consensus patterns upstream of ORFs. For example, the motif ‘TCCCA...TGGGA’ may play a crucial role. BTISs containing these motifs are prone to form stable stem-loop structures, perhaps facilitating ribosome scanning. How these stem-loop structures affect translation efficiency deserves further investigation. However, the engineered BT circRNA constructs in this study appeared to exhibit only low protein synthesis efficacy (data not shown). This suggests that mechanisms beyond stem-loop motifs play pivotal roles in enhancing BT. Therefore, more cis - and trans -elements related to BT, if needed, remain to be explored. We foresee that genetic screening, in vitro translation assay coupled with synthetic biology, molecular dynamic simulation and other protein/RNA structure prediction approaches, Cryo-EM and other structural biology methods in combination will help provide in-depth insights. Approximately 37% of the circRNAs with backward translation potential very likely undergo BT involving distinct backward ORFs, resulting in nearly 1 million protein products across species, which are supported by MS or Ribo-seq evidence. With more stringent criteria of dual supporting experimental evidences from MS and Ribo-seq, over human 90,000 BT potential proteins have been predicted, over fourfold the number of 20,428 ‘reviewed’ human proteins in the latest UniProtKB 29 . Therefore, these circRNA-mediated BT events contribute significantly to hidden proteomes previously undiscovered. Furthermore, our findings reveal that approximately 20% of BT proteins are conservatively expressed across species and 12.82% of BT proteins are conservatively expressed between tissues. Given their copiousness and conservation, these BT proteins may be biologically active and may have broad applications similar to conventional proteins. Knock-out and overexpression assays in human cells and Drosophila development support this notion, as our genetic manipulations did not disturb other potential circRNAs functions (e.g., regulating the availability of miRNAs 30 ) or the expression of host genes. Although these BT proteins are comparatively short, they exhibit distinct sequential and structural features that differentiate them from those of known proteins, opening new avenues for research into molecular diversity. Notably, contrary to the partial similarity between conventional translation proteins derived from circRNAs and protein products from the host gene, BT proteins are quite different from their host protein due to the 3’ to 5’ decoding direction. The potential interaction between BT proteins and their sibling proteins, as well as their coordinated regulation, remain to be explored. In any event, during evolution nature is constantly exploring novel sequence space for RNAs and proteins. This includes recruiting novel exons out of intronic space to vary existing proteins by alternative splicing, the recruitment of novel genes out of intergenic sequence space, the translation of circular RNAs in the conventional 5’ to 3’ modes and now translation in the 3’ to 5’ mode. Clearly, BT along with the relatively rare de novo gene evolution out of initially neutrally evolving sequence space has the greatest potential to explore novel protein sequences. Although, the mere numbers only reflect the potential of this evolutionary strategy. Nevertheless, what percentage of BT polypeptides/proteins have significant functions requires further extensive research in the future. There are two relevant issues worth mentioning regarding to the results. First, our current research focuses on 5’-GUA-3’ initiating BT, however, we cannot rule out the possibility of occurrence of non-5’-GUA-3’ initiating BT 31 . Second, this study suggests that circRNAs are the primary template for BT, as to date, we do not have any clear evidence that linear mRNAs are capable of initiating BT despite efforts that have been made (data not shown). Further explorations need to address both issues. In conclusion, this study discovers a novel fundamental way of protein synthesis, which has not been recognized previously and is expected to transforms our understanding of the translation landscape. This process reveals millions of hidden proteins that have long been overlooked. Moreover, this newly discovered translation mode enriches our understanding of the central dogma and introduces a new dimension to expanding molecular diversity. It will provide a rich resource to design the next generation of translation platforms. On the other hand, many fundamental questions remain unanswered, for instance, why does BT occur so frequently? How is BT regulated in normal, stressful or pathological conditions? How is BT coordinated with conventional translation, and what is their evolutionary relationship? Methods Data collection and preprocessing In all, 379 transcriptomes were obtained from the National Center for Biotechnology Information (NCBI) SRA, spanning six species. The raw Tandem Mass Spectrometry (MS/MS) files of 6,112 proteomes were obtained from the ProteomeXchange (ProteomeCentral Datasets) 32 and the PRIDE (Proteomics Identification Database) 33 . Besides, 493 Ribosome Profiling (Ribo-seq) translatomes were obtained from the NCBI SRA. These datasets were cataloged in Supplementary Table 1 . All transcriptome data were first subjected to quality control using Trimmomatic (version 0.38) 34 . CircRNA detection The circRNAs were detected from the RNA-seq transcriptomes with the CIRIT software and the full-length sequences of circRNAs were generated as well. In addition, a collection of 1,532,085 circRNAs and their sequences were sourced from several prominent circRNA databases, including Circbank 35 , CircAtlas 36 , CircBase 37 , and TransCirc 15 . All circRNAs were annotated with the self-developed trCIRIT-BSJ module via blasting the reconstructed full-length sequences to the reference genome using the gmap tool (version 2020-10-14) 38 , whereby, the exon-intron structure of circRNAs as well as the back-splicing junction (BSJ) sites were determined. Unless otherwise specified, all genomes were as the following versions: Saccharomyces cerevisiae (R64), Caenorhabditis elegans (WBcel235), Drosophila melanogaster (Release 6 plus ISO1 MT), Danio rerio (GRCz11), Mus musculus (GRCm39), and Homo sapiens (T2T-CHM13). The expression levels of circRNAs were quantified using the RSEM 39 tool. A self-coded script was used to extract 140 nucleotides (nt) upstream and downstream of each circRNA BSJ site, which was then aligned with the raw sequence data. Detection of circRNA translat ion The methodology of circRNA translation detection were schematically illustrated in Extended Data Fig.2 and Extended Data Fig.3 . The circRNA sequences were first re-coordinated according to the circRNA annotation and unfolded to linear sequences at the BSJ sites. The linear sequences were then expanded three times and were joined together in a head-to-tail way. The expanded sequences were fed into the trCIRIT-ORF module for open reading frame (ORF) prediction. For the backward ORFs, the sequences were reversed before input for ORF prediction. The predicted ORFs served as the reference database for peptide search from the MS/MS spectrometry files with the MaxQuant software v.2.0.2.0 40 . For mass spectrometry database searches, a larger database typically leads to lower search precision 41 . Additionally, there are very few shared peptides between FT proteins and BT proteins. Therefore, we perform separate searches for the forward and backward databases and further split each database into three parts for individual searches, with the results later combined. For BW ORF database searches, genomic sequences are aligned prior to the search to eliminate interference from palindromic sequences (sequence similarity > 80%). For FW ORF database searches, ORFs from linear transcriptomes are aligned before the search to remove sequences with 100% similarity. After the search, the unique peptide sequences obtained are aligned against UniProtKB to exclude interference from peptides shared with linear transcriptome proteins (sequence similarity = 100%). Trypsin was selected as the proteolytic enzyme and two missed cleavage sites were allowed. The first search mass tolerance was set to 20 ppm, and the main search peptide tolerance was set to 4.5 ppm. The false discovery rates (FDR) for peptide-spectrum matches (PSMs) and proteins were set to less than 1%. The iBAQ data from MaxQuant were normalized according to the method described in Jiang, Y. et al 20 . The on-going backward translation events were detected by aligning the Ribo-seq reads exclusively to the predicted circRNA ORFs with Bowtie2 v.2.2.5 42 , excluding those for the rRNA and linear mRNA transcripts ( Extended Data Fig.3 ). The reads mapping results were converted to the bam files with samtools v.1.3.1 43 and the bam files were interpreted and analyzed with Bamdst v.1.0.9 (https://github.com/shiquan/bamdst). Statistics Linear regression models in Extended Data Fig3. b, c were fitted using the lm function from the stats package (version 4.3.3) to compute the coefficient of determination ( R 2 ), a measure of how well the regression line explains the variability in the dependent variable. The R 2 value is calculated as: Where is the sum of squares of residuals, and is the total sum of squares. An R 2 value of 1 indicates a perfect fit, meaning all data points lie on the regression line, while a value of 0 means the model does not explain any variability. Values closer to 0 suggest a weaker relationship between the variables. The sample size for the analysis is reported in the corresponding figure legends. In all experiments, statistical significance analysis was conducted through non paired t-test analysis, and the y-axis displays Mean ± error (SEM). In this context, an unpaired t-test requires not only data independence but also that the populations represented by the two datasets follow a normal distribution and have equal variances with no significant differences. When the two datasets do not meet the normality assumption, non-parametric tests are used. The non-parametric method employed is the Mann-Whitney/Wilcoxon rank-sum test. Similarly, when using non-parametric tests, an F-test is conducted to assess homogeneity of variances. If the homogeneity test fails, the Welch correction method is applied. Following the above methods, data analysis was performed using GraphPad Prism 9.2.0, with significance levels indicated as follows: "*" P < 0.05; "**" P < 0.01; "***" P < 0.001; "****" P 0.05). In immune imaging, damaged samples were excluded from analysis. Translation initiator sequence analysis The potential IRES-like sequences in circRNA were detected with IRESfinder software v.1.1.0 44 . The IRES-like 6nt at the 20nt flanking sequences preceding the backward start codon (GUA) were detected by BLASTn (v.2.5.0), allowing no mismatch. The Kozak sequence (reversed: GGUACCACCA) was checked with self-coded script. The m 6 A modifications were predicted with the local tool of the SRAMP website 45 . Domain and motif analysis of BT proteins The domain information of BT proteins was obtained via search of the SMART database 18 , covering the SwissProt, the SP-TrEMBL, and the stable Ensembl protein sets. The motif analysis was demonstrated with the tool ps_scan (version 2018-01-25), referring to the PROSITE database 19 (prosite.dat, version 2024-03-27). RNA Secondary Structure Prediction The RNAfold web server (http://rna.tbi.univie.ac.at/cgi-bin/RNAWebSuite/RNAfold.cgi) was utilized to predict the secondary structure of circRNAs with the option “assume RNA molecule to be circular”. The secondary structure with MFE (Minimum Free Energy) was chosen for presentation. Protein structure simulation and clustering The structures of selected BT proteins were modelled with AlphaFold (https://colab.research.google.com/github/deepmind/alphafold/blob/main/notebooks/AlphaFold.ipynb). To obtain a stable conformation, 50ns molecular dynamics (MD) simulation was conducted to with the Gromacs software 46 , adopting the GROMOS 54 force field and the TIP3 water environment. The final frame of MD simulation was taken as the protein optimized structure. The protein structure was visualized with ChimeraX (v1.7). For structure comparison and clustering, total 542,337 known protein sequences and corresponding structures were downloaded from the AlphaFold website (https://alphafold.com/download). Subsequently, CD-HIT v4.7 was utilized to merge the similar protein sequences (parameters: -c 0.4 -n 2) to reduce the computational cost. Before clustering, the structures of both the known proteins and the selected BT proteins were represented as the average embedding tokens with the ProtT5-XL-U50 model of ProtTrans 47 . The K-means method was utilized to cluster the structures. The t-SNE method of the cuML package (v22.06.01) was utilized to visualize the clustering result. The Matplotlib (v3.5.3) and Seaborn (v0.11.2) to visualize the result in reduced dimension. Cell culture HEK-293T and HeLa cells were cultured in DMEM medium (Gibco, C11995500BT), supplemented with 10% fetal bovine serum (Gibco, ST30-3302) and 1% penicillin-streptomycin (Beyotime, 15140-122), and incubated at 37°C in a humidified incubator with 5% CO 2 . RT-PCR/RT-qPCR and Sanger Sequencing Total RNA was extracted from Drosophila (w1118) and HeLa cells using RNAiso Plus (TaKaRa, 9108) according to the manufacturer’s instructions. The total RNA was homogenized thoroughly, and the gDNA was removed using DNase I. RNase R (Beyotime, R7092S) treatment was performed to degrade linear RNA following the manufacturer’s instructions. The cleaned circRNA was reverse-transcribed into cDNA using a reverse transcription kit with random hexamers (Thermo Scientific, K1622). Divergent primers were designed ( Supplementary Table 4 ) to amplify the sequences spanning the circRNA BSJs with PCR. The amplified products were analyzed by electrophoresis on a 1% agarose gel. Bands of the expected size were excised and purified using the SanPrep Column DNA Gel Extraction Kit (Sangon Biotech, B518131). Sanger sequencing (Tsingke Biotech, Fujian) was utilized to determine the sequence composition of purified DNA. Meanwhile, the RT-qPCR primers were designed to quantify circRNAs ( Supplementary Table 4 ). Immunofluorescence assay The antigenic epitopes were designed based on the backward ORF regions of circRNAs ( Supplementary Table 7 ). These short epitope peptide fragments were synthesized and injected into rabbits to generate antibodies, which were subsequently isolated and purified (GenScript, Nanjing). The following reagents were also utilized for different purposes in this study: Alexa FluorTM 488 goat anti-rabbit IgG (H+L) (Invitrogen, A11008), Alexa FluorTM 568 goat anti-mouse IgG (H+L) (Invitrogen, A11031), and GF®568-Phalloidin (GenXion, JXF40131). For immunofluorescence, cells were seeded in a 24-well covered plate and cultured for 24 hours in an incubator with 5% CO 2 . Cells were then fixed with 4% paraformaldehyde for 10 minutes and washed 2-3 times with PBS. Permeabilization was performed with 0.2% Triton-X 100 for 1 minute, followed by 2-3 PBS washes. Cells were incubated with 2% bovine serum albumin (BSA) at room temperature for 1 hour, and then with primary antibodies overnight at 4°C. After primary antibody incubation, cells were washed 2-3 times with PBS, 5 minutes each wash, and then incubated with secondary antibodies at room temperature for an hour. Following secondary antibody incubation, cells were washed 2-3 times with PBS and incubated with DAPI and/or phalloidin for 10 minutes each. After 2-3 PBS washes, an anti-fade reagent was added to the 24-well plate, and coverslips were mounted onto slides using tweezers. Imaging was performed using a confocal microscope. For immunofluorescence assay in Drosophila (w1118), the third instar larvae were fixed in 4% PFA at room temperature for 2 hours. After fixation, the larvae were washed three times with PBST (PBS + 0.4% Triton X-100) and then dissected in PBST to isolate the brain, eye discs, wing discs, and salivary glands. The samples were blocked at room temperature for 1.5 hours in a blocking solution consisting of 950 μL PBST and 50 μL normal goat serum. After removing the blocking solution, the samples were incubated with primary antibody solution (950 μL PBST, 50 μL normal goat serum, and 2 μL primary antibody) at 4°C for 24 hours. Following primary antibody incubation, the samples were washed three times with PBST and then incubated with secondary antibody (Invitrogen: Alexa Fluor™ 488 goat anti-rabbit IgG (H+L)) at 4°C for 48 hours. After recovering the secondary antibody and washing three times with PBST, the samples were incubated with DAPI (Beyotime, C1002) at room temperature for 20 minutes. Finally, the samples were washed three times with PBST and mounted using anti-fade mounting medium (Beyotime, P0126). For detecting apoptosis signaling in Drosophila, the Cleaved Caspase-3 (D175) Rabbit antibody (Cell Signaling, 9661S) was used. Plasmid cloning and transfection to human cells The plasmids for human cell lines in this study were generated using pcDNA3.1(+) ZKSCAN1 MCS + Sense IRES (Addgene: #69909) and pcDNA3.1(+). The plasmid includes a CMV and a T7 promoter that drive the transcription of an upstream intron, the expected ORF, and a downstream intron. The introns form a circular RNA through complementary base pairing, which subsequently expresses the target ORF. The compositions of plasmids for human cell transfection designed in this study were illustrated in Fig.4a . The plasmids were transfected into HEK-293T or HeLa cells via an electroporation kit (Celetrix, 1216) according to the experimental needs. For electroporation of HEK-293T cells, the voltage was set to 600V with a duration of 30ms, while in the case of HeLa cells, the voltage was set to 640V with a duration of 30ms. Six hours post-electroporation, the medium was changed to remove the electroporation solution. The backward translation initiator sequences (BTISs) used in this study are compiled in Supplementary Table 7 . Knock-in of red fluorescent protein To knock-in a fluorescent protein into circRNA, we inserted a linker-mScarlet3 sequence just upstream of the backward stop codon (GAT) ( Fig.3a ). For hs .circCAPN15, we identified the target site within 30 bp of the backward stop codon (GAT) of hs .circCAPN15 and designed sgRNAs targeting 5’-CCACCGGATAGTTA-3’ and 5’-CACCCGGATAGTTT-3’. These sgRNA sequences were cloned into pSpCas9 (BB) -2A GFP (PX458) (Addgene: # 48138) digested with BbsI enzyme. The donor plasmid consists of homologous arms (800-1000bp) located on the GAT site flanks, with reverse linker and reverse mScarlet3 sequences inserted in appropriate directions between the homologous arms, and cloned into the pBlueScript II SK (+) plasmid. Extract plasmids and transfect them into Hela cells through electroporation. 48 hours later, flow cytometry was performed on the cells using red fluorescent protein mScat3HO (Becton Dickinson, FACSARia III). Single cells were sorted into 96 well plates and amplified monoclonal cells were identified by sequencing. Construction of CRISPR knock-out cell lines Target gene sites for hs. circCAPN15 were identified using CCTop - CRISPR/Cas9 target online predictor, resulting in two target sequences: 5’-GTAGGCAGGGGAGGTAGCAG-3’ and 5’-CTACCTCCCCTGCCTACCTT-3’. These target sequences were then cloned into the pSpCas9(BB)-2A-GFP (PX458) vector (Addgene: #48138) which had been digested with BbsI. The plasmids were extracted and transfected into HeLa cells via electroporation. After 48 hours, GFP-positive cells were sorted using fluorescence-activated cell sorting (FACS) with a FACSAria III sorter (Becton Dickinson, FACSAria III). Single cells were collected into 96-well plates, and the resulting clonal cell lines were expanded and sequenced for validation. Generation of stable hs .circCAPN15 overexpression cell lines To express the hs .circCAPN15 _bt_p protein via conventional forward translation, we synthesized the hs .circCAPN15 backward ORF in the forward orientation. The synthesized fragment was digested with NheI and BamHI, then ligated into a proprietary Celetrix selection vector (unpublished). Plasmid constructs were prepared using the ZymoPURE II Plasmid Midiprep Kit (ZYMO RESEARCH, D4201). HeLa cells in optimal growth condition were harvested, re-suspended in Celetrix electroporation buffer (Celetrix, 1216), and electroporated with the CAPN15 selection plasmid (640V, 30ms). Post-electroporation, cells were plated in 6-well plates, with 3 ml of complete medium added per well. After three days of incubation at 37°C, cells were sub-cultured when they reached approximately 80% confluence. Selection was performed using puromycin at concentrations of 1.0 µg/ml, 2.0 µg/ml, and 5.0 µg/ml. Cells that survived two weeks of selection under 2.0 µg/ml puromycin were expanded, and successful overexpression was confirmed by qPCR and immunoblotting. Cell scratch Cells were digested using 0.25% trypsin, and an appropriate amount was transferred to a hemocytometer for cell counting. Cells were seeded into a 6-well plate at a density of 5×10 5 cells per well. Three parallel lines with equal spacing were drawn on the back of each well using a marker. Once the cells reached 80-90% confluence, a 200 μL pipette tip was used to draw three vertical lines perpendicular to the parallel lines on the bottom of the plate, using a ruler for guidance. Cell migration was observed under an inverted microscope every 12 hours. The scratch area at each time point was quantified using ImageJ software, and the cell migration rate was calculated using the formula: (A−B)/A×100%, where A is the scratch area at 0 hours and B is the scratch area at subsequent time points. Plate colony formation assay Exponentially growing cells were harvested and digested into single cells using 0.25% trypsin. After cell counting with a hemocytometer, 5000 cells were seeded into each well of a six-well plate and a 10 cm culture dish. The cells were gently shaken to ensure even distribution and then incubated at 37°C with 5% CO 2 . Colony formation was assessed on days 2 and 7 for the six-well plates, and on day 14 for the 10 cm dishes. At the end of the incubation period, the medium was aspirated, and the cells were washed twice with PBS. The cells were then fixed with 4% paraformaldehyde for 15 minutes, washed twice with PBS, and stained with crystal violet for 15 minutes. Excess stain was removed by washing with running water three times. The plates were air-dried and photographed. The number of colonies formed from 100 single cells was counted and averaged to determine the colony formation efficiency. Construction of a CRISPR knock-out Drosophila strain The dm .circSCRIB circRNA is located on the antisense strand of the SCRIB gene, with its backward start codon (GTA) overlapping the coding region of the host gene. To avoid disrupting the SCRIB gene, our knock-out strategy involved introducing a synonymous mutation at the nucleotide corresponding to the backward start codon of circRNA while preserving the coding sequence of the host gene. Using the CCTop CRISPR/Cas9 target online predictor, we identified target sites within 30 bp of the dm .circSCRIB backward start codon (GTA) and designed sgRNAs targeting 5’-TGGATCAGAATCGATTGCAG-3’ and 5’-CAGCGGTTGAACGATACGCT-3’. These sgRNA sequences were cloned into the BbsI-digested pU6-BbsI-chiRNA vector (Addgene: #45946). To achieve the desired mutation, we changed the GTA backward start codon of dm .circSCRIB to GTG, while introducing a synonymous mutation in the corresponding codon of the SCRIB gene from GAT to GAC. The donor plasmid was constructed by cloning 800-1000 bp homology arms flanking the mutated GTA site into the KpnI and ScaI-digested pBlueScript II SK (+) vector. The final construct was microinjected into Drosophila embryos (BL78781 stock) to generate the knock-out strain. Overexpression of circRNA-mediated BT proteins in Drosophila The Drosophila strain THJ0211 (w; Hh-GAL4 UAS-GFP / TM6B) was purchased from the Tsinghua Fly Center, and the 42741 (Sca-GAL4 UAS-ponGFP) Drosophila strain was obtained from the Bloomington Drosophila Stock Center. The backward ORF region of dm .circSCRIB was synthesized in the forward orientation, then cloned into the pUAST-attBVector plasmid at the multiple cloning site ( Fig.6c ). Following plasmid extraction, the construct was injected into Drosophila embryos (pole cells). After eclosion the flies were crossed with background or balancer flies to achieve homozygosity, resulting in the UAS- dm .circSCRIB (III) homozygous Drosophila strain. Declarations Acknowledgement The support from the National Key Research & Developmental Program of China (2024YFF1206802) and National Natural Science Foundation of China Grant #32170658 (Y.Y.) are appreciated. We are also extremely grateful to Professor Juergen Brosius, Professor Qinxi Li, and Professor Aidong Han who have kindly provided us valuable assistance in the course of preparing this paper. Data availability The circRNA sequences, the BT protein sequences, and the self-coded scripts used in this study are all freely accessible at GitHub (https://github.com/BADDxmu/BawaCirc). Contributions Zhiliang Ji and Zhe Lin conceived the initial concept. Zhiliang Ji, Yufeng Yang and Zhe Lin designed the experimental plan. Data processing and analysis were performed by Ziwei Lv, Zhe Lin, Huajun Yin, Muxi Li, Juan Du and Shiyu Wang. Xiangyou Pi, Dani Shi, Tianliang Liu, Yanchao Wang and Peng Wang performed most of the experiments. Xiangyou Pi and Dani Shi constructed experimentally relevant Drosophila strains. Xiangyou Pi and Ling Sun performed the confocal photography. Zhe Lin, Yangmei Qin, Wenbo Lin and Tao Tao developed the circRNA identification algorithm, Cirit. The manuscript was written by Zhiliang Ji, Yufeng Yang, Zhe Lin, Ziwei Lv and Xiangyou Pi. Management and oversight of the project was performed by Zhiliang Ji and Yufeng Yang. Competing interests The authors declare no competing interests. References Alberts, B. et al. Molecular Biology of the Cell, Sixth edition, ISBN 978-0-8153-4432-2 (2014). Nurk, S. et al. The complete sequence of a human genome. Science (New York, N.Y.) 376 , 44-53, doi:10.1126/science.abj6987 (2022). Wilhelm, M. et al. Mass-spectrometry-based draft of the human proteome. Nature 509 , 582-587, doi:10.1038/nature13319 (2014). UniProt: the Universal Protein Knowledgebase in 2023. Nucleic acids research 51 , D523-d531, doi:10.1093/nar/gkac1052 (2023). O'Leary, N. A. et al. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic acids research 44 , D733-745, doi:10.1093/nar/gkv1189 (2016). Mann, M., Kumar, C., Zeng, W. F. & Strauss, M. T. Artificial intelligence for proteomics and biomarker discovery. Cell systems 12 , 759-770, doi:10.1016/j.cels.2021.06.006 (2021). Xiang, R. et al. Increased expression of peptides from non-coding genes in cancer proteomics datasets suggests potential tumor neoantigens. Communications biology 4 , 496, doi:10.1038/s42003-021-02007-2 (2021). Liu, C. X. & Chen, L. L. Circular RNAs: Characterization, cellular roles, and applications. Cell 185 , 2016-2034, doi:10.1016/j.cell.2022.04.021 (2022). Pamudurti, N. R. et al. Translation of CircRNAs. Molecular cell 66 , 9-21.e27, doi:10.1016/j.molcel.2017.02.021 (2017). Poliseno, L., Lanza, M. & Pandolfi, P. P. Coding, or non-coding, that is the question. Cell research 34 , 609-629, doi:10.1038/s41422-024-00975-8 (2024). Zhao, X., Cai, Y. & Xu, J. Circular RNAs: Biogenesis, Mechanism, and Function in Human Cancers. International journal of molecular sciences 20 , doi:10.3390/ijms20163926 (2019). Liu, C. X. & Chen, L. L. Expanded regulation of circular RNA translation. Molecular cell 81 , 4111-4113, doi:10.1016/j.molcel.2021.09.023 (2021). Yang, Y. et al. Extensive translation of circular RNAs driven by N(6)-methyladenosine. Cell research 27 , 626-641, doi:10.1038/cr.2017.31 (2017). Niu, D., Wu, Y. & Lian, J. Circular RNA vaccine in disease prevention and treatment. Signal Transduction and Targeted Therapy 8 , 341, doi:10.1038/s41392-023-01561-x (2023). Huang, W. et al. TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence. Nucleic acids research 49 , D236-d242, doi:10.1093/nar/gkaa823 (2021). Qin, Y. et al. Reference-free and de novo Identification of Circular RNAs. 2020.2004.2021.050617, doi:10.1101/2020.04.21.050617 %J bioRxiv (2020). Desiere, F. et al. The PeptideAtlas project. Nucleic acids research 34 , D655-658, doi:10.1093/nar/gkj040 (2006). Letunic, I., Khedkar, S. & Bork, P. SMART: recent updates, new developments and status in 2020. Nucleic acids research 49 , D458-D460, doi:10.1093/nar/gkaa937 %J Nucleic Acids Research (2020). Sigrist, C. J. et al. New and continuing developments at PROSITE. Nucleic acids research 41 , D344-347, doi:10.1093/nar/gks1067 (2013). Jiang, Y. et al. Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma. Nature 567 , 257-261, doi:10.1038/s41586-019-0987-8 (2019). Beaman, M. M. et al. Novel association of Dandy-Walker malformation with CAPN15 variants expands the phenotype of oculogastrointestinal neurodevelopmental syndrome. American journal of medical genetics. Part A 191 , 2757-2767, doi:10.1002/ajmg.a.63363 (2023). Li, Q. et al. Role of Scrib and Dlg in anterior-posterior patterning of the follicular epithelium during Drosophila oogenesis. BMC developmental biology 9 , 60, doi:10.1186/1471-213x-9-60 (2009). Kramer, M. C. et al. Combinatorial control of Drosophila circular RNA expression by intronic repeats, hnRNPs, and SR proteins. Genes & development 29 , 2168-2182, doi:10.1101/gad.270421.115 (2015). Moteki, S. & Price, D. Functional coupling of capping and transcription of mRNA. Molecular cell 10 , 599-609, doi:10.1016/s1097-2765(02)00660-3 (2002). Spriggs, K. A., Bushell, M. & Willis, A. E. Translational regulation of gene expression during conditions of cell stress. Molecular cell 40 , 228-237, doi:10.1016/j.molcel.2010.09.028 (2010). Advani, V. M. & Dinman, J. D. Reprogramming the genetic code: The emerging role of ribosomal frameshifting in regulating cellular gene expression. BioEssays : news and reviews in molecular, cellular and developmental biology 38 , 21-26, doi:10.1002/bies.201500131 (2016). Qin, Y. et al. The highly conserved LepA is a ribosomal elongation factor that back-translocates the ribosome. Cell 127 , 721-733, doi:10.1016/j.cell.2006.09.037 (2006). Yamamoto, H. et al. EF-G and EF4: translocation and back-translocation on the bacterial ribosome. Nature reviews. Microbiology 12 , 89-100, doi:10.1038/nrmicro3176 (2014). Boutet, E., Lieberherr, D., Tognolli, M., Schneider, M. & Bairoch, A. UniProtKB/Swiss-Prot. Methods in molecular biology (Clifton, N.J.) 406 , 89-112, doi:10.1007/978-1-59745-535-0_4 (2007). Piwecka, M. et al. Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function. Science (New York, N.Y.) 357 , doi:10.1126/science.aam8526 (2017). Andreev, D. E. et al. Non-AUG translation initiation in mammals. Genome biology 23 , 111, doi:10.1186/s13059-022-02674-2 (2022). Deutsch, E. W. et al. The ProteomeXchange consortium at 10 years: 2023 update. Nucleic acids research 51 , D1539-D1548, doi:10.1093/nar/gkac1040 %J Nucleic Acids Research (2022). Griss, J. et al. Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets. Nat Methods 13 , 651-656, doi:10.1038/nmeth.3902 (2016). Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics (Oxford, England) 30 , 2114-2120, doi:10.1093/bioinformatics/btu170 (2014). Liu, M., Wang, Q., Shen, J., Yang, B. B. & Ding, X. Circbank: a comprehensive database for circRNA with standard nomenclature. RNA biology 16 , 899-905, doi:10.1080/15476286.2019.1600395 (2019). Wu, W., Ji, P. & Zhao, F. CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes. Genome biology 21 , 101, doi:10.1186/s13059-020-02018-y (2020). Glažar, P., Papavasileiou, P. & Rajewsky, N. circBase: a database for circular RNAs. RNA (New York, N.Y.) 20 , 1666-1670, doi:10.1261/rna.043687.113 (2014). Wu, T. D. & Watanabe, C. K. GMAP: a genomic mapping and alignment program for mRNA and EST sequences. Bioinformatics (Oxford, England) 21 , 1859-1875, doi:10.1093/bioinformatics/bti310 (2005). Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC bioinformatics 12 , 323, doi:10.1186/1471-2105-12-323 (2011). Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nature biotechnology 26 , 1367-1372, doi:10.1038/nbt.1511 (2008). Noble, W. S. Mass spectrometrists should search only for peptides they care about. Nat Methods 12 , 605-608, doi:10.1038/nmeth.3450 (2015). Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat Methods 9 , 357-359, doi:10.1038/nmeth.1923 (2012). Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics (Oxford, England) 25 , 2078-2079, doi:10.1093/bioinformatics/btp352 (2009). Zhao, J. et al. IRESfinder: Identifying RNA internal ribosome entry site in eukaryotic cell using framed k-mer features. Journal of genetics and genomics = Yi chuan xue bao 45 , 403-406, doi:10.1016/j.jgg.2018.07.006 (2018). Zhou, Y., Zeng, P., Li, Y. H., Zhang, Z. & Cui, Q. SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features. Nucleic acids research 44 , e91, doi:10.1093/nar/gkw104 (2016). Páll, S. et al. Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS. The Journal of chemical physics 153 , 134110, doi:10.1063/5.0018516 (2020). Elnaggar, A. et al. ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. IEEE transactions on pattern analysis and machine intelligence 44 , 7112-7127, doi:10.1109/tpami.2021.3095381 (2022). Tables Table 1 | Statistics of BT circRNAs/BW ORFs supported by MS and/or Ribo-seq evidence. Additional Declarations There is NO Competing Interest. Supplementary Files ExtendedDataFig.docx tableS1.xlsx Table S1 tableS2.xlsx Table S2 tableS3.xlsx Table S3 tableS4.xlsx Table S4 tableS5.xlsx Table S5 tableS6.xlsx Table S6 tableS7.xlsx Table S7 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5558507","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Biological Sciences - Article","associatedPublications":[],"authors":[{"id":392910505,"identity":"4de36270-3ffb-46a1-ac54-6a88c205e820","order_by":0,"name":"Yufeng Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYPACOSBmPgAkLBgYeIjTYgzEbAkMDAkSJGnhMSBOi8Hxs4df87YZyJnzr/n4mPeHhBw/zwHGDx9z8Gg5k5dmDdRibDnj7WZjngQJY8neBmbJmdvwaDmQY2bM2/YnccONs9ukgVoSN5xnYGPmxafl/BuQFoP6DTfOPCNSy40c48dALQkG53vYIFrONuDXInnjjRnjnHMGhhtusBkbzkkD+qXnYDNev/CdzzH+8KbMQN7g/OGHD97Y2ABDLPngh494tCgcYGCTAseERAJMjLEBt3ogkG9gYP74A8TiP4BX4SgYBaNgFIxgAACqOFGT+/kKjwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-7738-1329","institution":"Fuzhou University","correspondingAuthor":true,"prefix":"","firstName":"Yufeng","middleName":"","lastName":"Yang","suffix":""},{"id":392910506,"identity":"44dbd428-573a-480c-b4b5-ea9d309a962a","order_by":1,"name":"Zhe Lin","email":"","orcid":"","institution":"Xiamen 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University","correspondingAuthor":false,"prefix":"","firstName":"Tian-Liang","middleName":"","lastName":"Liu","suffix":""},{"id":392910510,"identity":"0ca7b51b-fcaf-4d57-a4ea-913d0829b553","order_by":5,"name":"Huajun Yin","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Huajun","middleName":"","lastName":"Yin","suffix":""},{"id":392910511,"identity":"e87b124a-0c44-4ec9-8110-8874f8ea80a1","order_by":6,"name":"Dan-Ni Shi","email":"","orcid":"","institution":"Fuzhou University","correspondingAuthor":false,"prefix":"","firstName":"Dan-Ni","middleName":"","lastName":"Shi","suffix":""},{"id":392910512,"identity":"c9bb6115-c3c2-410f-b1f0-fbd5943ca86e","order_by":7,"name":"Muxi Li","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Muxi","middleName":"","lastName":"Li","suffix":""},{"id":392910513,"identity":"58ccfc9d-0f25-43db-be15-c70028f7ffd4","order_by":8,"name":"Juan Du","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Juan","middleName":"","lastName":"Du","suffix":""},{"id":392910514,"identity":"63a78cab-d21f-4e50-aa08-ac92b6fccaae","order_by":9,"name":"Yan-Chao Yang","email":"","orcid":"","institution":"Fuzhou University","correspondingAuthor":false,"prefix":"","firstName":"Yan-Chao","middleName":"","lastName":"Yang","suffix":""},{"id":392910515,"identity":"0f6873d5-8d13-4429-b4b2-7ad689d90974","order_by":10,"name":"Shiyu Wang","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Shiyu","middleName":"","lastName":"Wang","suffix":""},{"id":392910516,"identity":"f7f15642-f828-46ce-bf0f-dd97fb179df3","order_by":11,"name":"Peng Wang","email":"","orcid":"","institution":"Fuzhou University","correspondingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Wang","suffix":""},{"id":392910517,"identity":"349c1ea3-0dca-48c8-b3d9-7555e87eae54","order_by":12,"name":"Yangmei Qin","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Yangmei","middleName":"","lastName":"Qin","suffix":""},{"id":392910518,"identity":"fd54643a-d2d2-42aa-8917-61136e7d6656","order_by":13,"name":"Wenbo Lin","email":"","orcid":"","institution":"State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Wenbo","middleName":"","lastName":"Lin","suffix":""},{"id":392910519,"identity":"9206dc75-022d-4a1c-ad6b-e6c64d334d9c","order_by":14,"name":"Tao Tao","email":"","orcid":"","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Tao","middleName":"","lastName":"Tao","suffix":""},{"id":392910520,"identity":"94629fa8-db6f-477f-8b20-9fee5601a6d8","order_by":15,"name":"Ling Sun","email":"","orcid":"","institution":"Fuzhou University","correspondingAuthor":false,"prefix":"","firstName":"Ling","middleName":"","lastName":"Sun","suffix":""},{"id":392910521,"identity":"ef6aac43-be32-4391-bb9d-76fd00958ff1","order_by":16,"name":"Zhi-Liang Ji","email":"","orcid":"https://orcid.org/0000-0003-1190-7655","institution":"Xiamen University","correspondingAuthor":false,"prefix":"","firstName":"Zhi-Liang","middleName":"","lastName":"Ji","suffix":""}],"badges":[],"createdAt":"2024-12-01 13:05:08","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5558507/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5558507/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":74409931,"identity":"bded3b9f-9f53-4a4f-8869-4ed8b5229737","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":593118,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDiscovery of circRNA-mediated backward translation (BT).\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, Schematic illustration of circRNA-mediated backward translation. The backward translation is initiated by scanning the backward start codon (5’-GUA-3’) and proceeds via decoding triplet genetic codes in the 3’ to 5’ direction along the circRNA till the stop codons 5’-AAU/AGU/GAU-3’. \u003cstrong\u003eb\u003c/strong\u003e, Schematic illustration of the strategy for detecting BT proteins from Mass spectrometry (MS/MS) and Ribosome profiling (Ribo-seq) translatome. The BT or FT proteins were confirmed by identifying at least one unique peptide from the MS files that could be perfectly mapped to the predicted BT or FT proteins via peptide search with the MaxQuant software. The translating BW or FW ORFs were detected via capturing the Ribo-seq reads that could be exclusively mapped to the predicted circRNA ORFs with Bowtie2.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/2809232ac251c09a34584690.png"},{"id":74409927,"identity":"48401ab3-cb72-477d-b650-43780b874d21","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":421522,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStatistic overview of backward translation.\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, Statistics of backward ORFs in six eukaryotic species including \u003cem\u003eHomo sapiens\u003c/em\u003e, \u003cem\u003eMus musculus\u003c/em\u003e,\u003cem\u003e Danio rerio\u003c/em\u003e, \u003cem\u003eDrosophila melanogaster\u003c/em\u003e, \u003cem\u003eCaenorhabditis\u003c/em\u003e \u003cem\u003eelegans\u003c/em\u003e, and \u003cem\u003eSaccharomyces cerevisiae\u003c/em\u003e. The BT proteins with MS evidences and/or Ribo-seq evidences were also counted. \u003cstrong\u003eb\u003c/strong\u003e, Statistics of translatable circRNAs by length. \u003cstrong\u003ec\u003c/strong\u003e, Statistics of translatable circRNAs by composition types. \u003cstrong\u003ed\u003c/strong\u003e, Length distribution of BT polypeptides/proteins, in comparison to those coded by conventional linear mRNAs. \u003cstrong\u003ee\u003c/strong\u003e, Category of BT polypeptides/proteins by BSJ-crossing. \u003cstrong\u003ef\u003c/strong\u003e, Conservativeness of BT polypeptides/proteins across six eukaryotic species. The analysis was conducted on 807,622 BT polypeptides/proteins with MS and Ribo-seq evidences. Polypeptides/proteins that share the same NCBI Homologene ID and have the sequence identity \u0026gt;=30% were taken as the conservative polypeptides/proteins. \u003cstrong\u003eg\u003c/strong\u003e, Conservativeness of backward translation across species, illustrated by circUBCs. The sequence identify between human (\u003cem\u003ehs\u003c/em\u003e.circUBC_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e) and \u003cem\u003eDrosophila\u003c/em\u003e (\u003cem\u003edm\u003c/em\u003e.circUbi-p5E_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e) BT proteins coded by homologous circUBC was measured with Blastp. The structures of BT proteins were modeled with AlphaFold. The structural difference was assessed using the Root Mean Square Deviation (RMSD). \u003cstrong\u003eh\u003c/strong\u003e, Conservative expression of BT polypeptides/proteins over human tissues. The analysis was conducted on 764,200 human BT polypeptides/proteins. Polypeptides, 10~50 amino acids; proteins, \u0026gt;50 amino acids.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/c185e69386eb503cbd9e28f4.png"},{"id":74409932,"identity":"620d486b-a5fb-47d5-a642-6d5b37fb15f0","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":4662397,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eIn vitro\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e and \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003ein vivo\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e validation of endogenous backward translation and gene editing for backward translation.\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, Schematic representation of the plasmid design for knock-in experiment of \u003cem\u003ehs\u003c/em\u003e.circCAPN15. The reversed ORF of red fluorescent protein mScarlet3 was inserted immediately before the stop codon (AGT) of the \u003cem\u003ehs\u003c/em\u003e.circCAPN15 backward ORF. The knock-in was accomplished with the CRISPR/Cas9 technology. \u003cstrong\u003eb\u003c/strong\u003e, Validation of the endogenous backward translation of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 in HeLa cells with customized antibodies by immunofluorescence assays, IgG as the control. Two anti-\u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003eantibodies were used, signals in green. DAPI, nucleus staining in blue. Representative confocal microscopy images are shown. \u003cstrong\u003ec\u003c/strong\u003e, Gene knock-in of \u003cem\u003ehs\u003c/em\u003e.circCAPN15 to produce BT fluorescent fusion protein (\u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e: mScarlet3) in HeLa cells. Representative confocal microscopy images are shown. The red fluorescent protein mScarlet3 was taken as the positive reporter of successful knock-in. mScarlet3 signals (in red) overlapped with signals by anti-\u003cem\u003e hs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e antibodies (in green). DAPI, nucleus staining in blue. Scale bar, 20μm. \u003cstrong\u003ed\u003c/strong\u003e, Western blot (WB) confirmed of the successful of mScarlet3 knock-in on the backward ORF of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 in HeLa cell lines. The arrow points to the expected band of fluorescent BT protein, in line with the predicted molecular weight of fluorescent BT fusion protein, 51.1kD. \u003cstrong\u003ee\u003c/strong\u003e, Endogenous backward translation of \u003cem\u003edm\u003c/em\u003e.circSCRIB in \u003cem\u003eDrosophila\u003c/em\u003e. Representative confocal microscopy images of the \u003cem\u003eDrosophila\u003c/em\u003elarval brain, eye discs, wing discs, salivary glands are shown. Two rabbit anti-\u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003eantibodies were used for immunofluorescence assays, signals in green. DAPI, nucleus staining in blue. Scale bar, 20μm. \u003cstrong\u003ef\u003c/strong\u003e, Sanger sequencing validated successful knock-out of \u003cem\u003edm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003e. Four mutations were introduced with CRISPR/Cas9, one of which caused the backward start codon change (3’ATG5’→3’GTG5’), thus abolishing backward translation of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e. Scale bar, 40μm. \u003cstrong\u003eg\u003c/strong\u003e, Immunofluorescence validated the knock-out effects on \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e translation in the wing discs and the salivary glands of \u003cem\u003eDrosophila\u003c/em\u003e third instar larvae. Representative confocal microscopy images are shown. Anti-\u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e antibodies staining signals in green. DAPI, nucleus staining in blue. Scale bar, 20μm. \u003cstrong\u003eh\u003c/strong\u003e, Examination of knock-out effects on the host protein coded by linear SCRIB mRNA in \u003cem\u003eDrosophila\u003c/em\u003e with immunofluorescence assays.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/a0bb1aa6936233bff69e5a14.png"},{"id":74410537,"identity":"0aac65bc-a3f0-446d-b130-f4abd8350f86","added_by":"auto","created_at":"2025-01-22 05:34:20","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1919677,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSequence characteristics for initiating backward translation.\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, The vector design for backward translation of the enhanced green fluorescence protein (eGFP) in human cells. The vector utilized pcDNA3.1 as the backbone for circRNA expression. The plasmid comprised of two reverse eGFP fragments (coordinates: 593→1 and 720→594), separated by the backward translation initiation sequence (BTIS). The ends of BTIS were the backward start codon (GUA→) and backward stop codon (→UAA), respectively. In this study, the BTIS could be the upstream sequences extracted from the backward ORFs or the EMCV-IRES. \u003cstrong\u003eb\u003c/strong\u003e, Structural illustration of the compositions of two circ-(bw)-eGFP constructs: one without BTIS and one using EMCV-IRES as BTIS, respectively. The eGFP sequence was marked in green and the BTIS was marked in red. \u003cstrong\u003ec\u003c/strong\u003e, RT-qPCR result of two circ-(bw)-eGFPs, indicating comparable expression. \u003cstrong\u003ed\u003c/strong\u003e, Backward translation of circ-(bw)-eGFP in HEK-293T cells, utilizing the EMCV-IRES as the BTIS. Representative confocal microscopy images are shown. EGFP in green. Scale bar, 20μm. \u003cstrong\u003ee\u003c/strong\u003e, Statistics of four known sequence characteristics or motifs related to circRNA translation initiation preceding the backward ORFs. The internal ribosomal entry site (IRES)-like elements were predicted with IRESfinder, the IRES-like (6nt) sequences were blasted against the 10nt upstream of the backward start codon, the Kozak sequence was checked with self-coded script, and the N6-methyladenosine (m\u003csup\u003e6\u003c/sup\u003eA) modifications were predicted with SRAMP. \u003cstrong\u003ef\u003c/strong\u003e, The most consensus motif detected at the upstream regions of backward ORFs with MEME in this study. \u003cstrong\u003eg\u003c/strong\u003e, The secondary structure of circRNAs in regulating backward translation. The secondary structure of circRNAs were modeled with the RNAfold website. From left to right, the circRNAs were \u003cem\u003ehs\u003c/em\u003e.circHSH2D, the circRNA circ-(bw)-eGFP comprising backward eGFP ORF with the \u003cem\u003ehs\u003c/em\u003e.circHSH2D BTIS, circ-(bw)-eGFP with the \u003cem\u003ehs\u003c/em\u003e.circHSH2D BTIS that the stem-loop structure was destructed by mutation, and circ-(bw)-eGFP with the \u003cem\u003ehs\u003c/em\u003e.circHSH2D BTIS that the start codon (5’GUA3’) was mutated to 5’GCA3’. The latter two circRNAs were considered to be untranslatable. \u003cstrong\u003eh\u003c/strong\u003e, RT-qPCR result of four circ-(bw)-eGFPs. \u003cstrong\u003ei\u003c/strong\u003e, Backward translation of four circ-(bw)-eGFPs in HEK-293T cells. Mutations on BTIS or the start codon resulted in no synthesis of eGFP in cells. Representative confocal microscopy images are shown. EGFP in green. Scale bar, 20μm.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/0a4bbba2541ee91ec7b96a42.png"},{"id":74409939,"identity":"2c8bb000-e4c2-43cd-af33-337150c6707c","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":6268961,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBiological functions of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003ehs\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e.circCAPN15_bt_p in HeLa cells.\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, Sanger sequencing validation of three independent knock-out (KO) on \u003cem\u003ehs\u003c/em\u003e.circCAPN15\u003cem\u003e_bt_p\u003c/em\u003e, including a start codon mutation (KO-1) and two frame-shift mutation (KO-2 and KO-3) with the CRISPR/Cas9 technology. \u003cstrong\u003eb\u003c/strong\u003e, Immunofluorescence assays verified the KO of \u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e. Representative confocal microscopy images are shown. Signals by anti-\u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e antibodies in green, red fluorescence derived from Phalloidin to label cytoskeleton. DAPI, nucleus staining in blue. Scale bar, 20μm. \u003cstrong\u003ec\u003c/strong\u003e, Western blot (WB) examination of \u003cem\u003ehs\u003c/em\u003e.circCAPN15\u003cem\u003e_bt_p\u003c/em\u003e knock-out and overexpression (OE) effects on the host protein (1086 amino acids, 119.5KD) coded by host linear \u003cem\u003eCAPN15\u003c/em\u003e mRNA in HeLa cell lines. The abundance of \u003cem\u003eCAPN15\u003c/em\u003e protein remained unchanged in all KO conditions and the overexpression condition. \u003cstrong\u003ed\u003c/strong\u003e, Plate colony formation assay to assess the impact of \u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e knock-out and overexpression on the growth rate of HeLa cells. Every plate was seeded with 5,000 cells at the exponential growth phase. The cell density was measured after 14 days culture with a hemocytometer. \u003cstrong\u003ee\u003c/strong\u003e, Cell scratch assay to assess the impact of \u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e knock-out and overexpression on the migration ability of HeLa cells. Cells were seeded in 6-well plates at a density of 5 × 10\u003csup\u003e5\u003c/sup\u003e cells per well, drawn lines and clustered for 72 hours. The scratch area was quantified using ImageJ at different time points. The migration rate was calculated using the formula: (A-B)/A × 100%, where A was the scratch area at 0 hour and B was the scratch area at each subsequent time point. In the bar chart, ns: not significant, “*”: \u003cem\u003ep \u003c/em\u003e\u0026lt; 0.05, “**”\u003cem\u003e p\u003c/em\u003e \u0026lt; 0.01, “***”: \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001, “****”:\u003cem\u003e p\u003c/em\u003e \u0026lt; 0.0001, \u003cem\u003en\u003c/em\u003e = 15. Scale bar, 20μm.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/117c614a618d01085e8419cc.png"},{"id":74409936,"identity":"508b76d0-136c-4afe-a5cc-83617670f9d2","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":3737494,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBackward translation of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003edm.\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003ecircSCRIBis critical in\u003c/strong\u003e\u003cem\u003e\u003cstrong\u003e Drosophila\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e development\u003c/strong\u003e \u003cstrong\u003ea\u003c/strong\u003e, Abnormal fly wing disc development and pupa in response to the \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003eknock-out. The homozygousKO \u003cem\u003eDrosophila\u003c/em\u003e failed to survive the pupal stage. \u003cstrong\u003eb\u003c/strong\u003e, Strong apoptotic signals in the salivary glands, wing discs and other larval tissues (data not shown) of the \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e knock-out \u003cem\u003eDrosophila\u003c/em\u003e. DAPI, nucleus staining in blue. \u003cstrong\u003ec\u003c/strong\u003e, Adult wing changes in the heterozygotic dm.circSCRIB\u003cem\u003e_bt_p\u003c/em\u003eKO \u003cem\u003eDrosophila\u003c/em\u003e. The wings were quantified in length, area, and 3P (\u003cstrong\u003eExtended Data Fig.7c\u003c/strong\u003e). \u003cstrong\u003ed\u003c/strong\u003e, Schematic illustration of the \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003eoverexpression vector. The backward ORF of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003ewas reversed and would be expressed as a conventional linear mRNA. \u003cstrong\u003ee\u003c/strong\u003e, Compound eye morphology changes in response to overexpression of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e driven by GMR-GAL4. The compound eye roughness and disorganization were scored on a scale from 0 to 3 (\u003cstrong\u003eExtended Data Fig.7a and Extended Data Fig.7e\u003c/strong\u003e), with data analyzed using GraphPad Prism 9.2.0. \u003cstrong\u003ef\u003c/strong\u003e, Adult wing size change in response to overexpression of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e driven by Hh-GAL4 (\u003cstrong\u003eExtended Data Fig.7f\u003c/strong\u003e). \u003cstrong\u003eg\u003c/strong\u003e, Compound eye morphology changes in response to overexpression of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e driven by Sca-GAL4. Statistical significance: “*”: \u003cem\u003ep \u003c/em\u003e\u0026lt; 0.05, “**”: \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01, “***”:\u003cem\u003e p\u003c/em\u003e \u0026lt; 0.001, “****”: \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.0001, \u003cem\u003en\u003c/em\u003e = 15 (\u003cstrong\u003eExtended Data Fig.7g\u003c/strong\u003e). \u003cstrong\u003eh\u003c/strong\u003e, Adult wing size change in response to overexpression of \u003cem\u003edm\u003c/em\u003e.circSCRIB_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e driven by Sca-GAL4. Statistical significance: “*”: \u003cem\u003ep \u003c/em\u003e\u0026lt; 0.05, “**”: \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01, “***”:\u003cem\u003e p\u003c/em\u003e \u0026lt; 0.001, “****”: \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.0001, \u003cem\u003en\u003c/em\u003e = 15 (\u003cstrong\u003eExtended Data Fig.7h\u003c/strong\u003e).\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/7a83b883359cb6f227ba64bb.png"},{"id":95658214,"identity":"36f3f8e6-b97c-465d-99aa-826ef1da20c7","added_by":"auto","created_at":"2025-11-11 16:23:45","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":19576116,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/973e1d98-570b-4b9b-a8fc-18d498eec367.pdf"},{"id":74409933,"identity":"d47199d2-c37a-4c94-9e02-a443a1fd0e3f","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":4070880,"visible":true,"origin":"","legend":"","description":"","filename":"ExtendedDataFig.docx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/81a0edd608390e03d22c4f18.docx"},{"id":74409926,"identity":"3ea35f5f-50b3-45a2-8eac-b68c800e6a0f","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"xlsx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":46672,"visible":true,"origin":"","legend":"Table S1","description":"","filename":"tableS1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/125c91bc4a9c97ae651cf514.xlsx"},{"id":74409935,"identity":"c3eebf3d-1803-4de4-8130-264c4f1ae8f8","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"xlsx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":6017858,"visible":true,"origin":"","legend":"Table S2","description":"","filename":"tableS2.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/e6b9f802ed5e93b410b7ce20.xlsx"},{"id":74411442,"identity":"1b7275c3-067d-4a0b-aadc-68429ca25d39","added_by":"auto","created_at":"2025-01-22 05:42:20","extension":"xlsx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":24013,"visible":true,"origin":"","legend":"\u003cp\u003eTable S3\u003c/p\u003e","description":"","filename":"tableS3.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/de1d686f843173a4eaa3a8d2.xlsx"},{"id":74409929,"identity":"d6cb2c08-723e-4da5-babe-ebc6ed3990ab","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"xlsx","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":17777,"visible":true,"origin":"","legend":"Table S4","description":"","filename":"tableS4.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/5040ee01cba45ad14e6ccece.xlsx"},{"id":74410539,"identity":"9adcb4bc-8c2f-44f3-91c1-72aeee49dd11","added_by":"auto","created_at":"2025-01-22 05:34:20","extension":"xlsx","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":12936078,"visible":true,"origin":"","legend":"\u003cp\u003eTable S5\u003c/p\u003e","description":"","filename":"tableS5.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/7146125c7668549e5274fb4a.xlsx"},{"id":74409938,"identity":"08b053fb-c317-4074-8e07-6d35a38be686","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"xlsx","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":1321870,"visible":true,"origin":"","legend":"\u003cp\u003eTable S6\u003c/p\u003e","description":"","filename":"tableS6.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/d3e223792a3148475dd48010.xlsx"},{"id":74409934,"identity":"5e71511c-da6a-4f2a-b279-2eb9822e7336","added_by":"auto","created_at":"2025-01-22 05:26:20","extension":"xlsx","order_by":8,"title":"","display":"","copyAsset":false,"role":"supplement","size":14578,"visible":true,"origin":"","legend":"\u003cp\u003eTable S7\u003c/p\u003e","description":"","filename":"tableS7.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5558507/v1/ab75769f7da7978769230a6c.xlsx"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Backward translation of circular RNAs","fulltext":[{"header":"Main (Introduction and Results)","content":"\u003cp\u003eThe exact number of human proteins has remained debatable for decades. The recent release of the human telomere-to-telomere (T2T) genome in 2022 provides the most complete genomic annotation to date\u003csup\u003e2\u003c/sup\u003e, identifying 136,194 coding sequence (CDS) (GRCh38.p14), excluding those for immunoglobulins and T-cell receptors. However, the growth of the known human protein space appears to stagnate when relying solely on the human genome and mRNA datasets. A significant number of spectra in human mass spectrometry (MS) data remain unmatched with proteins in reference databases\u003csup\u003e3\u003c/sup\u003e, such as UniProt\u003csup\u003e4\u003c/sup\u003e and NCBI Refseq\u003csup\u003e5\u003c/sup\u003e, indicating that the protein-coding capacity of the human genome and others may be underreported. This issue persists despite considerable efforts to analyze MS data using artificial intelligence and other computational methods\u003csup\u003e6\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eRecent studies are increasingly recognizing that non-coding RNAs (ncRNAs) such as long ncRNAs (lncRNAs) and circular RNA (circRNA) can be translated into proteins or polypeptides\u003csup\u003e7-9\u003c/sup\u003e. These translatable ncRNAs and circRNAs indeed contribute to a portion of the peptides found in unresolved spectrometry data\u003csup\u003e10\u003c/sup\u003e. CircRNAs are characterized by a covalently closed RNA structure generated via back-splicing and lacking a 7-methylguanosine (m\u003csup\u003e7\u003c/sup\u003eG) cap structure and provide a new perspective on protein synthesis\u003csup\u003e11\u003c/sup\u003e. Current studies suggest that circRNA-mediated translation occurs through a non-canonical cap-independent mechanism, which may require particular features, such as internal ribosomal entry sites (IRES)-like sequence, N6-methyladenosine (m\u003csup\u003e6\u003c/sup\u003eA) modification, or a Kozak sequence for translation initiation\u003csup\u003e12-14\u003c/sup\u003e. Based on these theories, over 328,080 circRNAs have been predicted to be translatable\u003csup\u003e15\u003c/sup\u003e. Unfortunately, many predicted protein products of circRNAs lack supporting mass spectral evidence, likely owing to low protein abundance or incorrect prediction. Still, many unmatched peptides exist even after thorough search of human genome. It seems that relying grounding on present protein translation theories is no longer an optimal strategy to discover new proteins.\u003c/p\u003e\n\u003cp\u003eThe unique closed-loop structure of circRNAs stimulates our imagination and exploration. In this study, we report a completely novel translation mode wherein the triplet codons of circular RNAs can be decoded along the 3\u0026rsquo; to 5\u0026rsquo; end direction to synthesize proteins or peptides (hereafter, we use the term \u0026lsquo;proteins\u0026rsquo; to include both proteins and peptides.). In this translation mode, 5\u0026rsquo;-GUA-3\u0026rsquo; codon, instead of the conventional 5\u0026rsquo;-AUG-3\u0026rsquo;, is used for translation initiation. Translation proceeds via decoding triplet genetic codes in the 3\u0026rsquo; to 5\u0026rsquo; direction along the circRNA until one of the stop codons 5\u0026rsquo;-AAU/AGU/GAU-3\u0026rsquo; (instead of the conventional 5\u0026rsquo;-UAG/UGA/UAA-3\u0026rsquo;) is encountered (\u003cstrong\u003eFig.1a\u003c/strong\u003e). Ascribed to the decoding direction, we named the new translation mode as \u0026lsquo;backward translation\u0026rsquo; (BT), which is the opposite direction to the conventional 5\u0026rsquo;-to-3\u0026rsquo; forward translation (FT). Notably, the backward translation differs from the \u0026lsquo;complementary transcript translation\u0026rsquo;, in which linear mRNAs are decoded in the conventional 5\u0026rsquo; to 3\u0026rsquo; direction. The complementary translation simply uses transcription in the opposite orientation and generates a mRNA that is complementary to the genome-annotated CDS and, hence, a different coding sequence (\u003cstrong\u003eExtended Data Fig.1\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eUbiquitous but Conserved Presence of CircRNA-medicated Backward Translation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe utilized the CIRIT software\u003csup\u003e16\u003c/sup\u003e to identify 114,342 circRNAs from 379 transcriptomes, including those from humans, mice, zebrafish, fruit flies, nematodes, and yeasts. Additionally, we obtained 1,532,085 circRNA sequences from various public circRNA databases (\u003cstrong\u003eSupplementary Table 1\u003c/strong\u003e). Based on these circRNA sequences, we predicted 2,674,362 potential backward (BW) ORFs (\u0026gt;50 nucleotides, including 2,264,360 in humans) in 1,163,848 potentially backward translatable circRNAs (including 878,882 in humans) using our self-coded trCIRIT (\u003cstrong\u003eFig.2a)\u003c/strong\u003e. Using these backward ORFs as the reference, we performed a peptide search across 6,112 mass spectrometry (MS/MS) raw data (\u003cstrong\u003eSupplementary Table 1\u003c/strong\u003e) to identify the backward-translated peptides in the spectra (\u003cstrong\u003eFig.1b and Extended Data Fig.2a\u003c/strong\u003e). Moreover, we acquired\u0026nbsp;493 ribosome profiling (Ribo-seq) translatomes from multiple sources (\u003cstrong\u003eSupplementary Table 2\u003c/strong\u003e), capturing ongoing\u0026nbsp;BT events by identifying specific RNAs aligned to circRNA BW ORFs (\u003cstrong\u003eFig.1b and Extended Data Fig.2b\u003c/strong\u003e). Across various species and tissues, we detected\u0026nbsp;376,012 BT proteins supported by MS data and 708,096 BT proteins supported by Ribo-seq data, including 507,917 human BT proteins supported by Ribo-seq and 372,511 human BT proteins supported by MASS data (\u003cstrong\u003eFig.2a\u003c/strong\u003e). Remarkably, there are 90,993 human BT proteins with dual experimental evidences from Ribo-seq and MS, over fourfold the number of 20,428 \u0026lsquo;reviewed\u0026rsquo; human proteins in the latest UniProtKB (\u003cstrong\u003eFig.2a and Table 1\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eOverall, about 37% of the potentially translatable circRNAs were supported by either Ribo-seq or MS data, and about 5% were supported by both. For human circRNAs, around 10% are supported by both Ribo-seq and MS evidences. We further found that longer circRNAs were more likely to translate into proteins (with ORFs) (\u003cstrong\u003eFig.2b\u003c/strong\u003e). Among the circRNAs with BW ORFs, most were exon containing (61.74%, \u003cstrong\u003eFig.2c\u003c/strong\u003e), followed by the intronic type (27.7%, \u003cstrong\u003eFig.2c\u003c/strong\u003e). This composition differed slightly from that of circRNAs with forward (FW) ORFs (67.34% exonic and 18.21% intronic) and untranslatable circRNAs (73.07% exonic and 18.19% intronic) (\u003cstrong\u003eFig.2c\u003c/strong\u003e). For the BT proteins, most (approximately 69%) were small with sequence lengths ranging from 20 to 60 amino acids, approximately eight times shorter than those of 448,803 known proteins produced by linear mRNAs (derived from\u0026nbsp;UniProtKB, including both reviewed and unreviewed entries.) (\u003cstrong\u003eFig.2d\u003c/strong\u003e). The longest BT protein identified in this study was 695 amino acids long, encoded by yeast circRNA \u003cem\u003esc.\u003c/em\u003ecircFLO11 (1,042 nt) and supported by MS evidence. Among the BT proteins, 852,169 were short proteins that did not cross the back-splicing junctions (BSJs), 134,974 crossed the BSJ once, and 4,367 underwent rolling translation by crossing the BSJs multiple times (\u003cstrong\u003eFig.2e\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eCircRNA-mediated BT was observed across several species, from simple unicellular organisms, such as yeast, to complex multicellular organisms, such as mice and men (\u003cstrong\u003eFig.2a\u003c/strong\u003e).\u0026nbsp;Based on the MS proteome data and Ribo-seq transcriptome data collected in this study, approximately 80% of BT proteins were species-specific, while the remaining proteins exhibited varying degrees of sequence conservation across at least two organisms (\u003cstrong\u003eFig.2f\u0026nbsp;and\u0026nbsp;Supplementary Table 2-1\u003c/strong\u003e). Eleven conserved BT proteins were identified across four multicellular organisms: \u003cem\u003eD. melanogaster\u003c/em\u003e, \u003cem\u003eD. rerio, M. musculus\u003c/em\u003e, and \u003cem\u003eH. sapiens\u003c/em\u003e. A typical example of the conserved BT events is presented by circUBC. The \u003cem\u003eUBC\u0026nbsp;\u003c/em\u003ehost gene (parent gene), which encodes Polyubiquitin-C, plays a crucial role in regulating protein ubiquitination. Our analysis revealed that \u003cem\u003eUBC\u003c/em\u003e generated 75 homologous and analogous circRNAs across the four studied species, generating 43 distinct BT proteins (\u003cstrong\u003eSupplementary Table 2-2\u003c/strong\u003e). Among the homologous circUBCs, circUBC_228nt underwent BT in \u003cem\u003eD. melanogaster\u003c/em\u003e and \u003cem\u003eH. sapiens\u003c/em\u003e, producing a BSJ-crossing protein of 66 amino acids respectively. The BT proteins exhibited high sequence conservation (identity \u0026gt; 50%) and slight structural similarity (RMSD= 14.275\u0026Aring;). In contrast, circUBC_228nt from \u003cem\u003eD. rerio\u003c/em\u003e and \u003cem\u003eM. musculus\u003c/em\u003e did not yield similar BT proteins (\u003cstrong\u003eFig.2g\u003c/strong\u003e), likely due to a mutation of the backward start codon GUA. Instead, circUBC_228nt in \u003cem\u003eD. rerio\u0026nbsp;\u003c/em\u003etranslated into a shorter peptide of 22 amino acids.\u003c/p\u003e\n\u003cp\u003eIn humans, BT occurs across various tissues. Of the 764,200 human BT proteins, 666,207 proteins were tissue-specific, while 97,993 proteins (approximately 12.82%) were conserved in more than two tissues (\u003cstrong\u003eFig.2h\u003c/strong\u003e). The number of BT proteins varies by tissues, depending on dataset availability and quality, particularly for MS proteomes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSequential and Structural Features of Backward-Translated Proteins\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn contrast to conventional translation products derived from circRNAs, which are often truncated versions of their host proteins (perhaps with a different C-terminal sequence compared to the sibling proteins or haboring a multiple of the same domains)\u003csup\u003e9\u003c/sup\u003e, BT proteins exhibit unique sequences, very distinct from the proteins encoded by the corresponding canonical linear mRNAs due to\u0026nbsp;the 3\u0026rsquo; to 5\u0026rsquo; decoding direction. We conducted a thorough alignment of BT proteins with existing sequences in the UniProtKB protein database. This alignment did not yield any highly similar sequences, defined as having both sequence identity and coverage exceeding 80%, respectively. Furthermore, we blasted 789,435 human BT proteins against 2,531,100 known human peptides in the PeptideAtlas database\u003csup\u003e17\u003c/sup\u003e which also failed to identify any highly similar peptides under the same criteria. Additionally, we utilized the SMART server\u003csup\u003e18\u003c/sup\u003e to search for genetically domains from ORFs harbored by mobile elements or domain architectures within the BT proteins, but no known domains were found. An extensive search of the PROSITE database\u003csup\u003e19\u003c/sup\u003e identified 336 PROSITE motifs, found in approximately 80% of all BT proteins (\u003cstrong\u003eSupplementary Table 3\u003c/strong\u003e). The top 10 most common motifs accounted for 99.38% of the BT proteins containing PROSITE motifs. Many of these common motifs are associated with post-translational modifications, such as protein kinase C phosphorylation, indicating potential biological functions.\u003c/p\u003e\n\u003cp\u003eThe expression levels of BT proteins were, on an average, approximately 200‐fold lower than those of the host proteins (\u003cstrong\u003eExtended Data Fig.3a\u003c/strong\u003e). We examined the correlation between the abundance of circRNAs and the BT proteins they produced using a parallel transcriptome/proteome dataset from 70 liver samples (dataset ID: PXD006512)\u003csup\u003e20\u003c/sup\u003e. No significant linear regression relationship was observed between BT proteins and their corresponding circRNAs (coefficient \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u0026nbsp;\u003c/sup\u003e= 1\u003cem\u003ee\u003c/em\u003e\u003csup\u003e-3\u003c/sup\u003e) or proteins (\u003cem\u003eR\u003csup\u003e2\u0026nbsp;\u003c/sup\u003e\u003c/em\u003e= 4\u003cem\u003ee\u003c/em\u003e\u003csup\u003e-6\u003c/sup\u003e), respectively (\u003cstrong\u003eExtended Data\u003c/strong\u003e \u003cstrong\u003eFig.3b, c\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eFurthermore, we selected five BT proteins of varying lengths, modelled their structures\u0026nbsp;with AlphaFold (\u003cstrong\u003eExtended Data Fig.3d\u003c/strong\u003e), and aligned these structures with existing 542,337 AlphaFold-modeled structures (https://alphafold.com/download) using the K-means method. Based on the alignment, only very few similar structures in known proteins were detected (\u003cstrong\u003eExtended Data Fig.3d\u003c/strong\u003e). Notably, these five BT proteins characterized by a high content of loop-rich and conformational flexibility.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEndogenous Validation of Backward Translation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo validate endogenous backward translation in cells, we\u0026nbsp;selected a human circRNA \u003cem\u003ehs.\u003c/em\u003ecircCAPN15, which, as shown in our previous analysis, can be backward-translated into a protein (\u003cem\u003ehs\u003c/em\u003e.circCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e) in HeLa cells. In the human genome, \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 resides in the intronic region of \u003cem\u003eCAPN15\u003c/em\u003e and was predicted to encode a BT protein of 234 amino acids (117.33 KD) protein. The host gene \u003cem\u003eCAPN15\u003c/em\u003e has been shown to regulate cellular proliferation, growth and migration\u003csup\u003e21\u003c/sup\u003e.\u0026nbsp;First, we examined the generation of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 with RT-PCR, using the specially designed divergent primers (\u003cstrong\u003eSupplementary Table 4\u003c/strong\u003e). We verified by RNase R treatment that \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 was indeed circular, which digests linear RNA species but not circular transcripts. The expected target band observed after the RNase R treatment confirmed the presence of circRNAs (\u003cstrong\u003eExtended Data Fig.4a\u003c/strong\u003e). We then generated antibodies to specifically recognize the BT protein product. Immunofluorescence assays detected strong fluorescence signals in the cells, predominantly localized in the cytoplasm (\u003cstrong\u003eFig.3b\u003c/strong\u003e), confirming the endogenous backward translation of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15. The specificity of the customized antibodies was further confirmed by gene knock-out experiments shown below. Furthermore, we conducted a gene knock-in experiment in HeLa cells via inserting the reversed ORF of the red fluorescent protein mScarlet3 into the genomic locus of \u003cem\u003ehs\u003c/em\u003e.circCAPN15 circRNA, in-frame preceding the backward stop codon (5\u0026rsquo;-AGT-3\u0026rsquo;) using CRISPR/Cas9 technology (\u003cstrong\u003eFig.3a\u003c/strong\u003e). Sanger sequencing verified the correct knock-in (\u003cstrong\u003eExtended Data Fig.4c\u003c/strong\u003e). The successful knock-in of mScarlet3 produced prominent red fluorescence in the HeLa cells, which could only be achieved by circRNA formation through back-splicing, followed by backward translation (\u003cstrong\u003eFig.3\u003c/strong\u003e\u003cstrong\u003ea, c\u003c/strong\u003e). Moreover, the red fluorescence overlapped with the green fluorescence signal from antibody staining of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 BT proteins (\u003cstrong\u003eFig.3c\u003c/strong\u003e), further confirming the success of knock-in design. In contrast, wild-type HeLa cells exhibited only green signals for \u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt\u003c/em\u003e_\u003cem\u003ep\u003c/em\u003e (\u003cstrong\u003eFig.3c\u003c/strong\u003e). The WB experiment also confirmed the successful knock-in of mScarlet3 (\u003cstrong\u003eFig.3d\u003c/strong\u003e)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo validate the endogenous backward translation event \u003cem\u003ein vivo\u003c/em\u003e, we explored \u003cem\u003edm\u003c/em\u003e.circSCRIB in \u003cem\u003eDrosophila\u003c/em\u003e as an example because the \u003cem\u003eSCRIB\u003c/em\u003e host gene is essential in \u003cem\u003eDrosophila\u003c/em\u003e development\u003csup\u003e22\u003c/sup\u003e. A BT protein of 185 amino acids was predicted to be encoded by\u003cem\u003e\u0026nbsp;dm.\u003c/em\u003ecircSCRIB. The circular RNA transcript was verified with RT-PCR after RNase R treatment (\u003cstrong\u003eExtended Data Fig.4b\u003c/strong\u003e). Using customized antibodies, we detected strong immunofluorescence signals of the BT proteins produced by \u003cem\u003edm\u003c/em\u003e.circSCRIB in the brain, eye, wing and salivary gland of third-instar fly larvae (\u003cstrong\u003eFig.3e\u003c/strong\u003e). As \u003cem\u003edm.\u003c/em\u003ecircSCRIB is located within an exon of the \u003cem\u003eSCRIB\u003c/em\u003e host gene (located on the complementary strand), we adopted a knock-out strategy by introducing a point mutation of backward start codon (5\u0026rsquo;-GUA-3\u0026rsquo; to 5\u0026rsquo;-GUG-3\u0026rsquo;)\u0026nbsp;to disrupt the backward translation of \u003cem\u003edm.\u003c/em\u003ecircSCRIB. Meanwhile, the KI operation introduced synonymous mutations into the coding region of the host gene and the encoded product of \u003cem\u003eSCRIB\u003c/em\u003e remained unaltered (\u003cstrong\u003eFig.3f\u003c/strong\u003e). Immunostaining with anti-\u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e antibodies showed a significant reduction in the target BT protein signal in the wing discs and salivary glands of KO fly larvae, implicating the successful elimination of \u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e (\u003cstrong\u003eFig.3g\u003c/strong\u003e). The loss of \u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e was not due to the loss of transcript of \u003cem\u003edm.\u003c/em\u003ecircSCRIB, as RT-PCR assays showed no significant difference in \u003cem\u003edm.\u003c/em\u003ecircSCRIB transcript levels between KO flies and controls (\u003cstrong\u003eExtended Data Fig.4d\u003c/strong\u003e), suggesting disruption of backward translation of \u003cem\u003edm.\u003c/em\u003ecircSCRIB. Furthermore, expression of the \u003cem\u003eSCRIB\u003c/em\u003e host gene and host protein was not affected by the targeted knock-out of \u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e (\u003cstrong\u003eFig.3h and Extended Data Fig.4e\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCollectively, these results strongly support the natural occurrence of circRNA-mediated backward translation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eApplication of Backward Translation to Synthetic Biology\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe then investigated the potential application of circRNA-mediated backward translation in synthetic biology, specifically for generating BT proteins \u003cem\u003ein vitro\u003c/em\u003e. We designed the BT \u003cem\u003ein vitro\u003c/em\u003e expression plasmid based on the commercial plasmid Addgene #69909, which had been shown to be effective for circRNA-mediated conventional FT translation\u003csup\u003e23\u003c/sup\u003e. BT protein synthesis was designed by incorporating two\u0026nbsp;split reverse eGFP (enhanced green fluorescence protein) ORF segments and the reverse EMCV-IRES element in the plasmid construct, namely circ-(bw)-eGFP (\u003cstrong\u003eFig.4a\u003c/strong\u003e).The green fluorescence signal of eGFP could be detected only if these two split reverse eGFP ORF segments were correctly circularized and expressed via backward translation (\u003cstrong\u003eFig.4b\u003c/strong\u003e). HEK-293T cells transfected with this engineered circ-(bw)-eGFP construct displayed a strong green fluorescence signal, indicating successful circularization (\u003cstrong\u003eFig.4c\u003c/strong\u003e) and BT-mediated protein synthesis (\u003cstrong\u003eFig.4d\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eWe hypothesized that unique initiation elements facilitate the backward translation of circRNAs, akin to atypical cap-independent mechanisms in conventional circRNA forward translation. These elements may include vertebrate IRES-like sequences, 6nt IRES-like sequences, Kozak sequence, as well as m\u003csup\u003e6\u003c/sup\u003eA\u0026nbsp;modification, etc\u003csup\u003e8\u003c/sup\u003e. We analyzed 426,392 BT circRNAs and identified that approximately 72.77% of circRNAs were predicted to contain potential IRES-like sequences. None of these circRNAs possessed any 6nt IRES-like short sequences or Kozak sequences; however, approximately 48.62% circRNAs were predicted to contain m\u003csup\u003e6\u003c/sup\u003eA modifications (\u003cstrong\u003eFig.4e\u003c/strong\u003e \u003cstrong\u003eand\u003c/strong\u003e \u003cstrong\u003eSupplementary Table 5\u003c/strong\u003e). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFurthermore, we conducted motif enrichment\u0026nbsp;analysis on 73,331 human backward translatable circRNAs with MS evidences, using MEME v5.3.0\u003csup\u003e22\u003c/sup\u003e. The analysis identified enriched motifs likely contributing to translation initiation (\u003cstrong\u003eSupplementary Table\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e6-1\u003c/strong\u003e). The most prevalent motif was \u0026lsquo;TCCCA\u0026hellip;TGGGA\u0026rsquo;, which can form a stable stem structure and was likely central to backward translation initiator sequences (BTISs) (\u003cstrong\u003eFig.4f\u003c/strong\u003e). We then utilized MAST v4.11.2 software to search for the motif sequences containing the \u0026lsquo;TCCCA\u0026hellip;TGGGA\u0026rsquo; motif in the backward translatable circRNAs, discovering approximately 10% of the circRNAs contained the motif (\u003cstrong\u003eSupplementary Table 6-2\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo validate our analysis, we extracted three distinct sequences containing the BTIS motif from \u003cem\u003ehs\u003c/em\u003e.circHSH2D, \u003cem\u003ehs\u003c/em\u003e.circITIH4, and \u003cem\u003ehs\u003c/em\u003e.circMGC27382 to initiate backward translation of circ-(bw)-eGFP described as above. Secondary structure simulation of circ-(bw)-eGFP showed that these three BTISs formed stem-loop structures preceding the (bw)-eGFP ORF (\u003cstrong\u003eFig.4g and Extended Data Fig.5a\u003c/strong\u003e). Notably, for the BTISs derived from \u003cem\u003ehs\u003c/em\u003e.circITIH4 and \u003cem\u003ehs\u003c/em\u003e.circMGC27382, the \u0026ldquo;TCCCA\u0026hellip;TGGGA\u0026rdquo; motif did not form the stem-loop structure directly after insertion into the circ-(bw)-eGFPs. However, transfection of these plasmid constructs into HEK-293T cells all successfully elicited green fluorescence, indicating the backward translation of circ-(bw)-eGFP (\u003cstrong\u003eFig.4h, i and Extended Data Fig.5b\u003c/strong\u003e). Mutation experiments that either disrupted the stem structure of the \u0026lsquo;TCCCA\u0026hellip;TGGGA\u0026rsquo; motif or altered the backward start codon (5\u0026rsquo;-GUA-3\u0026rsquo;\u0026nbsp;\u0026rarr;\u0026nbsp;5\u0026rsquo;-GCA-3\u0026rsquo;) hindered the backward translation of circ-(bw)-eGFP (\u003cstrong\u003eFig.4g-i\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn addition, we extracted two BTISs from\u0026nbsp;\u003cem\u003ehs\u003c/em\u003e.circCAPN15 and one BTIS from \u003cem\u003ehs\u003c/em\u003e.circIFITM1, all of which exhibited typical stem-loop structures but lacking the \u0026lsquo;TCCCA\u0026hellip;TGGGA\u0026rsquo; motif (\u003cstrong\u003eExtended Data Fig.5c\u003c/strong\u003e). The placement of these BTISs before the (bw)-eGFP ORF all successfully drove the backward translation (\u003cstrong\u003eExtended Data Fig.5d\u003c/strong\u003e). Notably, both BTISs from different regions of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 were able to initiate BT, indicating the presence of multiple BTISs within a single circRNA. We then examined the conservation of these BTISs across species, extracting two BTISs from \u003cem\u003eDrosophila\u003c/em\u003e, specifically \u003cem\u003edm\u003c/em\u003e.circSCRIB and \u003cem\u003edm\u003c/em\u003e.circUNC-5(\u003cstrong\u003eExtended Data Fig.5e\u003c/strong\u003e). Both \u003cem\u003eDrosophila\u003c/em\u003e elements facilitated the backward translation of circ-(bw)-eGFP in HEK-293T cells (\u003cstrong\u003eExtended Data Fig.5f\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eCollectively, we conclude that a stable stem-loop is essential for initiating circRNA-mediated backward translation. The novel mode of backward translation\u0026nbsp;is reproducible, controllable, and stable, suggesting the engineering potential for various biological applications.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEvidence of Biological Functions of Backward-translated proteins\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBackward translation of circRNAs is prevalent across species and tissues as demonstrated above. This indicates that the encoded proteins may have biological functions. To\u0026nbsp;investigate this, we employed CRISPR/Cas9 technology to disrupt the backward translation of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15. In the human genome, \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 resides in intron region of \u003cem\u003eCAPN15\u003c/em\u003e (\u003cstrong\u003eExtended Data Fig.6a\u003c/strong\u003e). We constructed three knock-out (KO) HeLa cell lines (\u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p_ko\u003c/em\u003e), which included a translation start codon deletion and two frame-shift mutations which resulted into truncations, to disrupt the normal synthesis of the target BT protein (\u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p\u003c/em\u003e, 234 amino acids, 25.51 KD) (\u003cstrong\u003eFig.5a\u003c/strong\u003e). Immunofluorescence assays confirmed the loss of the predicted protein (\u003cstrong\u003eFig.5b\u003c/strong\u003e). In contrast, the transcript of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 remained almost unaltered in the KO cell lines, further confirming that protein loss occurred post-transcriptionally (\u003cstrong\u003eExtended Data Fig.6b\u003c/strong\u003e). Most importantly, the site-specific knock-out of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15\u003cem\u003e_bt_p\u003c/em\u003e did not to affect the transcription or translation of the \u003cem\u003eCAPN15\u003c/em\u003e host gene (\u003cstrong\u003eFig.5c\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;and Extended Data Fig.6c\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFollowing the knock-out of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p\u003c/em\u003e, the growth of HeLa cells increased by approximately twofold after 14 days of culture compared to wild-type controls (\u003cstrong\u003eFig.5d\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eand Extended Data Fig.6d\u003c/strong\u003e). In wound healing assays, all three KO cell lines exhibited comparatively better healing capability at 72 hours, indicating that the absence of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p\u003c/em\u003e may promote cell migration (\u003cstrong\u003eFig.5e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eand\u003c/strong\u003e \u003cstrong\u003eExtended Data Fig.6d\u003c/strong\u003e). Furthermore, overexpression of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p\u003c/em\u003e with a conventional linear RNA template significantly suppressed the growth and healing capacity of the HeLa cells (\u003cstrong\u003eFig.5d\u003c/strong\u003e). Note that this overexpression led to an increased abundance of \u003cem\u003ehs.\u003c/em\u003ecircCAPN15_\u003cem\u003ebt_p\u003c/em\u003e in the cells (\u003cstrong\u003eExtended Data Fig.6f\u003c/strong\u003e) without significantly altering the levels of \u003cem\u003eCAPN15\u003c/em\u003e host protein (\u003cstrong\u003eFig.5b\u003c/strong\u003e). These results clearly indicate that the BT protein encoded by \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 can suppress cellular growth and migration \u003cem\u003ein vitro\u003c/em\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo explore the potential roles of BT proteins \u003cem\u003ein vivo\u003c/em\u003e, we characterized the previously generated \u003cem\u003edm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003e KO line. Homozygous \u003cem\u003edm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003e KO larvae flies exhibited abnormal wing disc shape and pronounced apoptotic signals (\u003cstrong\u003eFig.6a, b\u003c/strong\u003e). Additionally, the KO flies failed to survive beyond the pupal stage and eventually died within the pupae (\u003cstrong\u003eFig.6a\u003c/strong\u003e). The wing size of adult \u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e KO heterozygotes show a significant increase (\u003cstrong\u003eFig.6c and Extended Data Fig.7b, c\u003c/strong\u003e). These findings underscored the critical role of \u003cem\u003edm.\u003c/em\u003ecircSCRIB\u003cem\u003e_bt_p\u003c/em\u003e in \u003cem\u003eDrosophila\u003c/em\u003e development.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe then employed the \u003cem\u003eDrosophila\u003c/em\u003e GAL4/UAS binary systems to drive tissue-specific overexpression of \u003cem\u003edm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003e, using a conventional linear coding template (\u003cstrong\u003eFig.6d and\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eExtended Data Fig.7d, 8a\u003c/strong\u003e). Ectopic overexpression of \u003cem\u003edm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003ein the fly compound eyes resulted in a pronounced rough eye phenotype (\u003cstrong\u003eFig.6e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;and Extended Data Fig.7a, e, 8b, c\u003c/strong\u003e). Additionally, specific overexpression driven by Hh-GAL4 led to a significant reduction in wing size, with wings appearing approximately 2.17-2.14% shorter and 10.29-6.75% narrower at 0 and 14 days post‐eclosion than those of the control flies (\u003cstrong\u003eFig.6f and\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eExtended Data Fig.7b, f, 8d, e\u003c/strong\u003e). Using Sca-GAL4, which targets both the eyes and the wings, ectopic overexpression of\u003cem\u003e\u0026nbsp;dm.\u003c/em\u003ecircSCRIB_\u003cem\u003ebt_p\u003c/em\u003e also caused rough eye phenotype at 14 days post‐eclosion (\u003cstrong\u003eFig.6g and Extended Data Fig.7g, 8f, g\u003c/strong\u003e) and resulted in a significant decrease in wing size, with wings being approximately 2.04-5.31% shorter and 10.00-15.27% narrower at 0 and 14 d post‐eclosion, respectively (\u003cstrong\u003eFig.6h and Extended Data Fig.7h, 8h, i\u003c/strong\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCollectively, along with the accompanying paper detailing more extensive \u003cem\u003eDrosophila\u003c/em\u003e studies, these findings highlighted the critical roles of BT protein products derived from \u003cem\u003eDrosophila\u003c/em\u003e circRNAs \u003cem\u003ein vivo\u003c/em\u003e.\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn eukaryotes, cap modifications and poly(A) tails regulate the translation of linear mRNAs\u003csup\u003e24\u003c/sup\u003e. In response to stressful pathological conditions, such as cancers, diabetes, and neurological disorders, cells may initiate cap-independent translation, likely aided by IRES or cap-independent translational enhancers\u003csup\u003e25\u003c/sup\u003e. Common knowledge suggests that protein synthesis initiates in linear mRNAs or circRNAs along the 5\u0026rsquo; to 3\u0026rsquo; direction, regardless of cap-dependent or non-canonical cap-dependent mechanisms. In this study, we report the groundbreaking findings of 3\u0026rsquo; to 5\u0026rsquo; backward translation (BT) in eukaryotes. Experiments in human cells and \u003cem\u003eDrosophila\u003c/em\u003e confirm that BT of circRNAs occurs naturally, and that proteins synthesized through BT mode have critical functions. The circRNA-mediated BT represents a novel cellular phenomenon that is widespread across species.\u003c/p\u003e\n\u003cp\u003eOne of the most intriguing puzzles related to this groundbreaking discovery must be how the translational apparatus initiates and elongates translation with circRNAs as template in the 3\u0026rsquo; to 5\u0026rsquo; end direction. Translation initiation is a highly regulated process with the orchestrations of various \u003cem\u003ecis\u003c/em\u003e- and \u003cem\u003etrans\u003c/em\u003e-acting factors. These factors include ribosomal subunits, translation factors (initiation, elongation and termination), tRNAs, nucleotide repeats sequences, 5\u0026rsquo; and 3\u0026rsquo; UTR, secondary structures of RNAs, mRNA-binding proteins, and more. Our findings implicate that BT shares the fundamental principles of canonical translation in eukaryotes. BT and FT share the same codon table, requiring both a start codon and an open reading frame. Additionally, we demonstrated that EMCV-IRES and BTIS from BT circRNAs can initiate both BT and FT, suggesting that BT may use the same translation initiation mechanism as FT. Specifically, the circle of circRNAs might impose both spatial constraints and flexibility on the translation super-complex to allow decoding in the 5\u0026rsquo; to 3\u0026rsquo; and 3\u0026rsquo; to 5\u0026rsquo; directions, respectively. The most pressing question is, whether translation could at all precede in the 3\u0026rsquo; to 5\u0026rsquo; direction. There is some precedent of ribosome movement in both orientations, such as the ribosomal frameshifting by bone nucleotide backwards (-1) resulting in usage of a different reading frame from that point\u003csup\u003e26\u003c/sup\u003e. Even further in the 3\u0026rsquo; to 5\u0026rsquo; direction is the back translocation of the ribosome mediated by the LepA translocation factor\u003csup\u003e27\u003c/sup\u003e, albeit by only one triplet and LepA/EF4 is restricted to bacteria and absent in eukaryotes except for mitochondria and chloroplasts\u003csup\u003e28\u003c/sup\u003e. Nevertheless, it shows that the (circular) mRNA might not be a one-way street, despite the challenging mechanistic considerations.\u003c/p\u003e\n\u003cp\u003eExamining the sequences of BT circRNAs, especially the BTISs, reveals several consensus patterns upstream of ORFs. For example, the motif \u0026lsquo;TCCCA...TGGGA\u0026rsquo; may play a crucial role. BTISs containing these motifs are prone to form stable stem-loop structures, perhaps facilitating ribosome scanning. How these stem-loop structures affect translation efficiency deserves further investigation. However, the engineered BT circRNA constructs in this study appeared to exhibit only low protein synthesis efficacy (data not shown). This suggests that mechanisms beyond stem-loop motifs play pivotal roles in enhancing BT. Therefore, more \u003cem\u003ecis\u003c/em\u003e- and \u003cem\u003etrans\u003c/em\u003e-elements related to BT, if needed, remain to be explored. We foresee that genetic screening, \u003cem\u003ein vitro\u003c/em\u003e translation assay coupled with synthetic biology, molecular dynamic simulation and other protein/RNA structure prediction approaches, Cryo-EM and other structural biology methods in combination will help provide in-depth insights.\u003c/p\u003e\n\u003cp\u003eApproximately 37% of the circRNAs with backward translation potential very likely undergo BT involving distinct backward ORFs, resulting in nearly 1 million protein products across species, which are supported by MS or Ribo-seq evidence. With more stringent criteria of dual supporting experimental evidences from MS and Ribo-seq, over human 90,000 BT potential proteins have been predicted,\u0026nbsp;over fourfold the number of 20,428 \u0026lsquo;reviewed\u0026rsquo; human proteins in the latest UniProtKB\u003csup\u003e29\u003c/sup\u003e. Therefore, these circRNA-mediated BT events contribute significantly to hidden proteomes previously undiscovered. Furthermore, our findings reveal that approximately 20% of BT proteins are conservatively expressed across species and 12.82% of BT proteins are conservatively expressed between tissues. Given their copiousness and conservation, these BT proteins may be biologically active and may have broad applications similar to conventional proteins. Knock-out and overexpression assays in human cells and \u003cem\u003eDrosophila\u003c/em\u003e development support this notion, as our genetic manipulations did not disturb other potential circRNAs functions (e.g., regulating the availability of miRNAs\u003csup\u003e30\u003c/sup\u003e) or the expression of host genes.\u003c/p\u003e\n\u003cp\u003eAlthough these BT proteins are comparatively short, they exhibit distinct sequential and structural features that differentiate them from those of known proteins, opening new avenues for research into molecular diversity. Notably, contrary to the partial similarity between conventional translation proteins derived from circRNAs and protein products from the host gene, BT proteins are quite different from their host protein due to the 3\u0026rsquo; to 5\u0026rsquo; decoding direction. The\u0026nbsp;potential interaction between BT proteins and their sibling proteins, as well as their coordinated regulation, remain to be explored. In any event, during evolution nature is constantly exploring novel sequence space for RNAs and proteins. This includes recruiting novel exons out of intronic space to vary existing proteins by alternative splicing, the recruitment of novel genes out of intergenic sequence space, the translation of circular RNAs in the conventional 5\u0026rsquo; to 3\u0026rsquo; modes and now translation in the 3\u0026rsquo; to 5\u0026rsquo; mode. Clearly, BT along with the relatively rare \u003cem\u003ede novo\u003c/em\u003e gene evolution out of initially neutrally evolving sequence space has the greatest potential to explore novel protein sequences. Although, the mere numbers only reflect the potential of this evolutionary strategy. Nevertheless, what percentage of BT polypeptides/proteins have significant functions requires further extensive research in the future.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere are two relevant issues worth mentioning regarding to the results. First, our current research focuses on 5\u0026rsquo;-GUA-3\u0026rsquo; initiating BT, however, we cannot rule out the possibility of occurrence of non-5\u0026rsquo;-GUA-3\u0026rsquo; initiating BT\u003csup\u003e31\u003c/sup\u003e. Second, this study suggests that circRNAs are the primary template for BT, as to date, we do not have any clear evidence that linear mRNAs are capable of initiating BT despite efforts that have been made (data not shown). Further explorations need to address both issues.\u003c/p\u003e\n\u003cp\u003eIn conclusion, this study discovers a novel fundamental way of protein synthesis, which has not been recognized previously and is expected to transforms our understanding of the translation landscape. This process reveals millions of hidden proteins that have long been overlooked. Moreover, this newly discovered translation mode enriches our understanding of the central dogma and introduces a new dimension to expanding molecular diversity. It will provide a rich resource to design the next generation of translation platforms. On the other hand, many fundamental questions remain unanswered, for instance, why does BT occur so frequently? How is BT regulated in normal, stressful or pathological conditions? How is BT coordinated with conventional translation, and what is their evolutionary relationship?\u0026nbsp;\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eData collection and preprocessing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn all, 379 transcriptomes were obtained from the National Center for Biotechnology Information (NCBI) SRA, spanning six species. The raw Tandem Mass Spectrometry (MS/MS) files of 6,112 proteomes were obtained from the ProteomeXchange (ProteomeCentral Datasets)\u003csup\u003e32\u003c/sup\u003e and the PRIDE (Proteomics Identification Database)\u003csup\u003e33\u003c/sup\u003e. Besides, 493 Ribosome Profiling (Ribo-seq) translatomes were obtained from the NCBI SRA. These datasets were cataloged in \u003cstrong\u003eSupplementary Table 1\u003c/strong\u003e. All transcriptome data were first subjected to quality control using Trimmomatic (version 0.38)\u003csup\u003e34\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCircRNA detection\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe circRNAs were detected from the RNA-seq transcriptomes with the CIRIT software and the full-length sequences of circRNAs were generated as well. In addition, a collection of 1,532,085 circRNAs and their sequences were sourced from several prominent circRNA databases, including Circbank\u003csup\u003e35\u003c/sup\u003e, CircAtlas\u003csup\u003e36\u003c/sup\u003e, CircBase\u003csup\u003e37\u003c/sup\u003e, and TransCirc\u003csup\u003e15\u003c/sup\u003e. All circRNAs were annotated with the self-developed trCIRIT-BSJ module via blasting the reconstructed full-length sequences to the reference genome using the gmap tool (version 2020-10-14)\u003csup\u003e38\u003c/sup\u003e, whereby, the exon-intron structure of circRNAs as well as the back-splicing junction (BSJ) sites were determined. Unless otherwise specified, all genomes were as the following versions: \u003cem\u003eSaccharomyces cerevisiae\u003c/em\u003e (R64), \u003cem\u003eCaenorhabditis elegans\u003c/em\u003e (WBcel235), \u003cem\u003eDrosophila melanogaster\u003c/em\u003e (Release 6 plus ISO1 MT), \u003cem\u003eDanio rerio\u003c/em\u003e (GRCz11), \u003cem\u003eMus musculus\u003c/em\u003e (GRCm39), and \u003cem\u003eHomo sapiens\u003c/em\u003e (T2T-CHM13). The expression levels of circRNAs were quantified using the RSEM\u003csup\u003e39\u003c/sup\u003e tool. A\u0026nbsp;self-coded script\u0026nbsp;was used to extract 140 nucleotides (nt) upstream and downstream of each circRNA BSJ site, which was then aligned with the raw sequence data.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDetection of circRNA translat\u003c/strong\u003e\u003cstrong\u003eion\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe methodology of circRNA translation detection were schematically illustrated in \u003cstrong\u003eExtended Data Fig.2 and Extended Data Fig.3\u003c/strong\u003e. The circRNA sequences were first re-coordinated according to the circRNA annotation and unfolded to linear sequences at the BSJ sites. The linear sequences were then expanded three times and were joined together in a head-to-tail way. The expanded sequences were fed into the trCIRIT-ORF module for open reading frame (ORF) prediction. For the backward ORFs, the sequences were reversed before input for ORF prediction.\u003c/p\u003e\n\u003cp\u003eThe predicted ORFs served as the reference database for peptide search from the MS/MS spectrometry files with the MaxQuant software v.2.0.2.0\u003csup\u003e40\u003c/sup\u003e. For mass spectrometry database searches, a larger database typically leads to lower search precision\u003csup\u003e41\u003c/sup\u003e. Additionally, there are very few shared peptides between FT proteins and BT proteins. Therefore, we perform separate searches for the forward and backward databases and further split each database into three parts for individual searches, with the results later combined. For BW ORF database searches, genomic sequences are aligned prior to the search to eliminate interference from palindromic sequences (sequence similarity \u0026gt; 80%). For FW ORF database searches, ORFs from linear transcriptomes are aligned before the search to remove sequences with 100% similarity. After the search, the unique peptide sequences obtained are aligned against UniProtKB to exclude interference from peptides shared with linear transcriptome proteins (sequence similarity = 100%).\u003c/p\u003e\n\u003cp\u003eTrypsin was selected as the proteolytic enzyme and two missed cleavage sites were allowed. The first search mass tolerance was set to 20 ppm, and the main search peptide tolerance was set to 4.5 ppm. The false discovery rates (FDR) for peptide-spectrum matches (PSMs) and proteins were set to less than 1%. The iBAQ data from MaxQuant were normalized according to the method described in Jiang, Y. \u003cem\u003eet al\u003c/em\u003e\u003cem\u003e\u003csup\u003e20\u003c/sup\u003e\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eThe on-going backward translation events were detected by aligning the Ribo-seq reads exclusively to the predicted circRNA ORFs with Bowtie2 v.2.2.5\u003csup\u003e42\u003c/sup\u003e, excluding those for the rRNA and linear mRNA transcripts (\u003cstrong\u003eExtended Data Fig.3\u003c/strong\u003e). The reads mapping results were converted to the bam files with samtools v.1.3.1\u003csup\u003e43\u003c/sup\u003e and the bam files were interpreted and analyzed with Bamdst v.1.0.9 (https://github.com/shiquan/bamdst).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLinear regression models in \u003cstrong\u003eExtended Data\u003c/strong\u003e \u003cstrong\u003eFig3. b, c\u003c/strong\u003e were fitted using the lm function from the stats package (version 4.3.3) to compute the coefficient of determination (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e), a measure of how well the regression line explains the variability in the dependent variable.\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u0026nbsp;\u003c/sup\u003evalue is calculated as:\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003eWhere \u0026nbsp;is the sum of squares of residuals, and \u0026nbsp;is the total sum of squares. An \u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e value of 1 indicates a perfect fit, meaning all data points lie on the regression line, while a value of 0 means the model does not explain any variability. Values closer to 0 suggest a weaker relationship between the variables. The sample size for the analysis is reported in the corresponding figure legends.\u003c/p\u003e\n\u003cp\u003eIn all experiments, statistical significance analysis was conducted through non paired t-test analysis, and the y-axis displays Mean \u0026plusmn; error (SEM). In this context, an unpaired t-test requires not only data independence but also that the populations represented by the two datasets follow a normal distribution and have equal variances with no significant differences. When the two datasets do not meet the normality assumption, non-parametric tests are used. The non-parametric method employed is the Mann-Whitney/Wilcoxon rank-sum test. Similarly, when using non-parametric tests, an F-test is conducted to assess homogeneity of variances. If the homogeneity test fails, the Welch correction method is applied. Following the above methods, data analysis was performed using GraphPad Prism 9.2.0, with significance levels indicated as follows: \u0026quot;*\u0026quot; \u003cem\u003eP \u0026lt;\u003c/em\u003e 0.05; \u0026quot;**\u0026quot; \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.01; \u0026quot;***\u0026quot; \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001; \u0026quot;****\u0026quot; P \u0026lt; 0.0001. \u0026quot;\u003cem\u003ens\u003c/em\u003e\u0026quot; indicates no significant difference (\u003cem\u003eP\u003c/em\u003e \u0026gt; 0.05).\u003c/p\u003e\n\u003cp\u003eIn immune imaging, damaged samples were excluded from analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTranslation initiator sequence analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe potential IRES-like sequences in circRNA were detected with IRESfinder software v.1.1.0\u003csup\u003e44\u003c/sup\u003e. The IRES-like 6nt at the 20nt flanking sequences preceding the backward start codon (GUA) were detected by BLASTn (v.2.5.0), allowing no mismatch. The Kozak sequence (reversed: GGUACCACCA) was checked with self-coded script. The m\u003csup\u003e6\u003c/sup\u003eA modifications were predicted with the local tool of the SRAMP website\u003csup\u003e45\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDomain and motif analysis of BT proteins\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe domain information of BT proteins was obtained via search of the SMART database\u003csup\u003e18\u003c/sup\u003e, covering the SwissProt, the SP-TrEMBL, and the stable Ensembl protein sets. The motif analysis was demonstrated with the tool ps_scan (version 2018-01-25), referring to the PROSITE database\u003csup\u003e19\u003c/sup\u003e (prosite.dat, version 2024-03-27).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRNA Secondary Structure Prediction\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe RNAfold web server (http://rna.tbi.univie.ac.at/cgi-bin/RNAWebSuite/RNAfold.cgi) was utilized to predict the secondary structure of circRNAs with the option \u0026ldquo;assume RNA molecule to be circular\u0026rdquo;. The secondary structure with MFE (Minimum Free Energy) was chosen for presentation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProtein structure simulation and clustering\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe structures of selected BT proteins were modelled with AlphaFold (https://colab.research.google.com/github/deepmind/alphafold/blob/main/notebooks/AlphaFold.ipynb). To obtain a stable conformation, 50ns molecular dynamics (MD) simulation was conducted to with the Gromacs software\u003csup\u003e46\u003c/sup\u003e, adopting the GROMOS 54 force field and the TIP3 water environment. The final frame of MD simulation was taken as the protein optimized structure. The protein structure was visualized with ChimeraX (v1.7).\u003c/p\u003e\n\u003cp\u003eFor structure comparison and clustering, total 542,337 known protein sequences and corresponding structures were downloaded from the AlphaFold website (https://alphafold.com/download). Subsequently, CD-HIT v4.7 was utilized to merge the similar protein sequences (parameters: -c 0.4 -n 2) to reduce the computational cost. Before clustering, the structures of both the known proteins and the selected BT proteins were represented as the average embedding tokens with the ProtT5-XL-U50 model of ProtTrans\u003csup\u003e47\u003c/sup\u003e. The K-means method was utilized to cluster the structures. The t-SNE method of the cuML package (v22.06.01) was utilized to visualize the clustering result. The Matplotlib (v3.5.3) and Seaborn (v0.11.2) to visualize the result in reduced dimension.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell culture\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHEK-293T and HeLa cells were cultured in DMEM medium (Gibco, C11995500BT), supplemented with 10% fetal bovine serum (Gibco, ST30-3302) and 1% penicillin-streptomycin (Beyotime, 15140-122), and incubated at 37\u0026deg;C in a humidified incubator with 5% CO\u003csub\u003e2\u003c/sub\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRT-PCR/RT-qPCR and Sanger Sequencing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTotal RNA was extracted from \u003cem\u003eDrosophila\u003c/em\u003e (w1118) and HeLa cells using RNAiso Plus (TaKaRa, 9108) according to the manufacturer\u0026rsquo;s instructions. The total RNA was homogenized thoroughly, and the gDNA was removed using DNase I. RNase R (Beyotime, R7092S) treatment was performed to degrade linear RNA following the manufacturer\u0026rsquo;s instructions. The cleaned circRNA was reverse-transcribed into cDNA using a reverse transcription kit with random hexamers (Thermo Scientific, K1622). Divergent primers were designed (\u003cstrong\u003eSupplementary Table 4\u003c/strong\u003e) to amplify the sequences spanning the circRNA BSJs with PCR. The amplified products were analyzed by electrophoresis on a 1% agarose gel. Bands of the expected size were excised and purified using the SanPrep Column DNA Gel Extraction Kit (Sangon Biotech, B518131). Sanger sequencing (Tsingke Biotech, Fujian) was utilized to determine the sequence composition of purified DNA. Meanwhile, the RT-qPCR primers were designed to quantify circRNAs (\u003cstrong\u003eSupplementary Table 4\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImmunofluorescence assay\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe antigenic epitopes were designed based on the backward ORF regions of circRNAs (\u003cstrong\u003eSupplementary Table 7\u003c/strong\u003e). These short epitope peptide fragments were synthesized and injected into rabbits to generate antibodies, which were subsequently isolated and purified (GenScript, Nanjing). The following reagents were also utilized for different purposes in this study: Alexa FluorTM 488 goat anti-rabbit IgG (H+L) (Invitrogen, A11008), Alexa FluorTM 568 goat anti-mouse IgG (H+L) (Invitrogen, A11031), and GF\u0026reg;568-Phalloidin (GenXion, JXF40131).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFor immunofluorescence, cells were seeded in a 24-well covered plate and cultured for 24 hours in an incubator with 5% CO\u003csub\u003e2\u003c/sub\u003e. Cells were then fixed with 4% paraformaldehyde for 10 minutes and washed 2-3 times with PBS. Permeabilization was performed with 0.2% Triton-X 100 for 1 minute, followed by 2-3 PBS washes. Cells were incubated with 2% bovine serum albumin (BSA) at room temperature for 1 hour, and then with primary antibodies overnight at 4\u0026deg;C. After primary antibody incubation, cells were washed 2-3 times with PBS, 5 minutes each wash, and then incubated with secondary antibodies at room temperature for an hour. Following secondary antibody incubation, cells were washed 2-3 times with PBS and incubated with DAPI and/or phalloidin for 10 minutes each. After 2-3 PBS washes, an anti-fade reagent was added to the 24-well plate, and coverslips were mounted onto slides using tweezers. Imaging was performed using a confocal microscope.\u003c/p\u003e\n\u003cp\u003eFor immunofluorescence assay in \u003cem\u003eDrosophila\u0026nbsp;\u003c/em\u003e(w1118), the third instar larvae were fixed in 4% PFA at room temperature for 2 hours. After fixation, the larvae were washed three times with PBST (PBS + 0.4% Triton X-100) and then dissected in PBST to isolate the brain, eye discs, wing discs, and salivary glands. The samples were blocked at room temperature for 1.5 hours in a blocking solution consisting of 950 \u0026mu;L PBST and 50 \u0026mu;L normal goat serum. After removing the blocking solution, the samples were incubated with primary antibody solution (950 \u0026mu;L PBST, 50 \u0026mu;L normal goat serum, and 2 \u0026mu;L primary antibody) at 4\u0026deg;C for 24 hours. Following primary antibody incubation, the samples were washed three times with PBST and then incubated with secondary antibody (Invitrogen: Alexa Fluor\u0026trade; 488 goat anti-rabbit IgG (H+L)) at 4\u0026deg;C for 48 hours. After recovering the secondary antibody and washing three times with PBST, the samples were incubated with DAPI (Beyotime, C1002) at room temperature for 20 minutes. Finally, the samples were washed three times with PBST and mounted using anti-fade mounting medium (Beyotime, P0126). For detecting apoptosis signaling in Drosophila, the Cleaved Caspase-3 (D175) Rabbit antibody (Cell Signaling, 9661S) was used.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlasmid cloning and transfection to human cells\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe plasmids for human cell lines in this study were generated using pcDNA3.1(+) ZKSCAN1 MCS + Sense IRES (Addgene: #69909) and pcDNA3.1(+). The plasmid includes a CMV and a T7 promoter that drive the transcription of an upstream intron, the expected ORF, and a downstream intron. The introns form a circular RNA through complementary base pairing, which subsequently expresses the target ORF. The compositions of plasmids for human cell transfection designed in this study were illustrated in \u003cstrong\u003eFig.4a\u003c/strong\u003e. The plasmids were transfected into HEK-293T or HeLa cells via an electroporation kit (Celetrix, 1216) according to the experimental needs. For electroporation of HEK-293T cells, the voltage was set to 600V with a duration of 30ms, while in the case of HeLa cells, the voltage was set to 640V with a duration of 30ms. Six hours post-electroporation, the medium was changed to remove the electroporation solution. The backward translation initiator sequences (BTISs) used in this study are compiled in \u003cstrong\u003eSupplementary Table 7\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eKnock-in of red fluorescent protein\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo knock-in a fluorescent protein into circRNA, we inserted a linker-mScarlet3 sequence just upstream of the backward stop codon (GAT) (\u003cstrong\u003eFig.3a\u003c/strong\u003e). For \u003cem\u003ehs\u003c/em\u003e.circCAPN15, we identified the target site within 30 bp of the backward stop codon (GAT) of \u003cem\u003ehs\u003c/em\u003e.circCAPN15 and designed sgRNAs targeting 5\u0026rsquo;-CCACCGGATAGTTA-3\u0026rsquo; and 5\u0026rsquo;-CACCCGGATAGTTT-3\u0026rsquo;. These sgRNA sequences were cloned into pSpCas9 (BB) -2A GFP (PX458) (Addgene: # 48138) digested with BbsI enzyme. The donor plasmid consists of homologous arms (800-1000bp) located on the GAT site flanks, with reverse linker and reverse mScarlet3 sequences inserted in appropriate directions between the homologous arms, and cloned into the pBlueScript II SK (+) plasmid. Extract plasmids and transfect them into Hela cells through electroporation. 48 hours later, flow cytometry was performed on the cells using red fluorescent protein mScat3HO (Becton Dickinson, FACSARia III). Single cells were sorted into 96 well plates and amplified monoclonal cells were identified by sequencing.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConstruction of CRISPR knock-out cell lines\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTarget gene sites for \u003cem\u003ehs.\u003c/em\u003ecircCAPN15 were identified using CCTop - CRISPR/Cas9 target online predictor, resulting in two target sequences: 5\u0026rsquo;-GTAGGCAGGGGAGGTAGCAG-3\u0026rsquo; and 5\u0026rsquo;-CTACCTCCCCTGCCTACCTT-3\u0026rsquo;. These target sequences were then cloned into the pSpCas9(BB)-2A-GFP (PX458) vector (Addgene: #48138) which had been digested with BbsI. The plasmids were extracted and transfected into HeLa cells via electroporation. After 48 hours, GFP-positive cells were sorted using fluorescence-activated cell sorting (FACS) with a FACSAria III sorter (Becton Dickinson, FACSAria III). Single cells were collected into 96-well plates, and the resulting clonal cell lines were expanded and sequenced for validation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGeneration of stable \u003cem\u003ehs\u003c/em\u003e.circCAPN15 overexpression cell lines\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo express the \u003cem\u003ehs\u003c/em\u003e.circCAPN15\u003cem\u003e_bt_p\u003c/em\u003e protein via conventional forward translation, we synthesized the \u003cem\u003ehs\u003c/em\u003e.circCAPN15 backward ORF in the forward orientation. The synthesized fragment was digested with NheI and BamHI, then ligated into a proprietary Celetrix selection vector (unpublished). Plasmid constructs were prepared using the ZymoPURE II Plasmid Midiprep Kit (ZYMO RESEARCH, D4201).\u003c/p\u003e\n\u003cp\u003eHeLa cells in optimal growth condition were harvested, re-suspended in Celetrix electroporation buffer (Celetrix, 1216), and electroporated with the \u003cem\u003eCAPN15\u003c/em\u003e selection plasmid (640V, 30ms). Post-electroporation, cells were plated in 6-well plates, with 3 ml of complete medium added per well. After three days of incubation at 37\u0026deg;C, cells were sub-cultured when they reached approximately 80% confluence. Selection was performed using puromycin at concentrations of 1.0 \u0026micro;g/ml, 2.0 \u0026micro;g/ml, and 5.0 \u0026micro;g/ml. Cells that survived two weeks of selection under 2.0 \u0026micro;g/ml puromycin were expanded, and successful overexpression was confirmed by qPCR and immunoblotting.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell scratch\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCells were digested using 0.25% trypsin, and an appropriate amount was transferred to a hemocytometer for cell counting. Cells were seeded into a 6-well plate at a density of 5\u0026times;10\u003csup\u003e5\u003c/sup\u003e cells per well. Three parallel lines with equal spacing were drawn on the back of each well using a marker. Once the cells reached 80-90% confluence, a 200 \u0026mu;L pipette tip was used to draw three vertical lines perpendicular to the parallel lines on the bottom of the plate, using a ruler for guidance. Cell migration was observed under an inverted microscope every 12 hours. The scratch area at each time point was quantified using ImageJ software, and the cell migration rate was calculated using the formula: (A\u0026minus;B)/A\u0026times;100%, where A is the scratch area at 0 hours and B is the scratch area at subsequent time points.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlate colony formation assay\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eExponentially growing cells were harvested and digested into single cells using 0.25% trypsin. After cell counting with a hemocytometer, 5000 cells were seeded into each well of a six-well plate and a 10 cm culture dish. The cells were gently shaken to ensure even distribution and then incubated at 37\u0026deg;C with 5% CO\u003csub\u003e2\u003c/sub\u003e. Colony formation was assessed on days 2 and 7 for the six-well plates, and on day 14 for the 10 cm dishes. At the end of the incubation period, the medium was aspirated, and the cells were washed twice with PBS. The cells were then fixed with 4% paraformaldehyde for 15 minutes, washed twice with PBS, and stained with crystal violet for 15 minutes. Excess stain was removed by washing with running water three times. The plates were air-dried and photographed. The number of colonies formed from 100 single cells was counted and averaged to determine the colony formation efficiency.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConstruction of a CRISPR knock-out \u003cem\u003eDrosophila\u003c/em\u003e strain\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003edm\u003c/em\u003e.circSCRIB circRNA is located on the antisense strand of the \u003cem\u003eSCRIB\u003c/em\u003e gene, with its backward start codon (GTA) overlapping the coding region of the host gene. To avoid disrupting the \u003cem\u003eSCRIB\u003c/em\u003e gene, our knock-out strategy involved introducing a synonymous mutation at the nucleotide corresponding to the backward start codon of circRNA while preserving the coding sequence of the host gene.\u003c/p\u003e\n\u003cp\u003eUsing the CCTop CRISPR/Cas9 target online predictor, we identified target sites within 30 bp of the \u003cem\u003edm\u003c/em\u003e.circSCRIB backward start codon (GTA) and designed sgRNAs targeting 5\u0026rsquo;-TGGATCAGAATCGATTGCAG-3\u0026rsquo; and 5\u0026rsquo;-CAGCGGTTGAACGATACGCT-3\u0026rsquo;. These sgRNA sequences were cloned into the BbsI-digested pU6-BbsI-chiRNA vector (Addgene: #45946).\u003c/p\u003e\n\u003cp\u003eTo achieve the desired mutation, we changed the GTA backward start codon of \u003cem\u003edm\u003c/em\u003e.circSCRIB to GTG, while introducing a synonymous mutation in the corresponding codon of the \u003cem\u003eSCRIB\u003c/em\u003e gene from GAT to GAC. The donor plasmid was constructed by cloning 800-1000 bp homology arms flanking the mutated GTA site into the KpnI and ScaI-digested pBlueScript II SK (+) vector. The final construct was microinjected into \u003cem\u003eDrosophila\u003c/em\u003e embryos (BL78781 stock) to generate the knock-out strain.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOverexpression of circRNA-mediated BT proteins in \u003cem\u003eDrosophila\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003eDrosophila\u003c/em\u003e strain THJ0211 (w; Hh-GAL4 UAS-GFP / TM6B) was purchased from the Tsinghua Fly Center, and the 42741 (Sca-GAL4 UAS-ponGFP) \u003cem\u003eDrosophila\u003c/em\u003e strain was obtained from the Bloomington \u003cem\u003eDrosophila\u003c/em\u003e Stock Center.\u003c/p\u003e\n\u003cp\u003eThe backward ORF region of \u003cem\u003edm\u003c/em\u003e.circSCRIB was synthesized in the forward orientation, then cloned into the pUAST-attBVector plasmid at the multiple cloning site (\u003cstrong\u003eFig.6c\u003c/strong\u003e). Following plasmid extraction, the construct was injected into \u003cem\u003eDrosophila\u003c/em\u003e embryos (pole cells). After eclosion the flies were crossed with background or balancer flies to achieve homozygosity, resulting in the UAS-\u003cem\u003edm\u003c/em\u003e.circSCRIB (III) homozygous \u003cem\u003eDrosophila\u003c/em\u003e strain.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe support from the National Key Research \u0026amp; Developmental Program of China (2024YFF1206802) and National Natural Science Foundation of China Grant #32170658 (Y.Y.) are appreciated. We are also extremely grateful to Professor Juergen Brosius, Professor Qinxi Li, and Professor Aidong Han who have kindly provided us valuable assistance in the course of preparing this paper.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe circRNA sequences, the BT protein sequences, and the self-coded scripts used in this study are all freely accessible at GitHub (https://github.com/BADDxmu/BawaCirc).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eContributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eZhiliang Ji and Zhe Lin conceived the initial concept. Zhiliang Ji, Yufeng Yang and Zhe Lin designed the experimental plan. Data processing and analysis were performed by Ziwei Lv, Zhe Lin, Huajun Yin, Muxi Li, Juan Du and Shiyu Wang. Xiangyou Pi, Dani Shi, Tianliang Liu, Yanchao Wang and Peng Wang performed most of the experiments. Xiangyou Pi and Dani Shi constructed experimentally relevant Drosophila strains. Xiangyou Pi and Ling Sun performed the confocal photography. Zhe Lin, Yangmei Qin, Wenbo Lin and Tao Tao developed the circRNA identification algorithm, Cirit. The manuscript was written by Zhiliang Ji, Yufeng Yang, Zhe Lin, Ziwei Lv and Xiangyou Pi. Management and oversight of the project was performed by Zhiliang Ji and Yufeng Yang.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting\u003c/strong\u003e\u003cstrong\u003einterests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAlberts, B.\u003cem\u003e et al.\u003c/em\u003e Molecular Biology of the Cell, Sixth edition, ISBN 978-0-8153-4432-2 (2014).\u003c/li\u003e\n\u003cli\u003eNurk, S.\u003cem\u003e et al.\u003c/em\u003e The complete sequence of a human genome. \u003cem\u003eScience (New York, N.Y.)\u003c/em\u003e\u003cstrong\u003e376\u003c/strong\u003e, 44-53, doi:10.1126/science.abj6987 (2022).\u003c/li\u003e\n\u003cli\u003eWilhelm, M.\u003cem\u003e et al.\u003c/em\u003e Mass-spectrometry-based draft of the human proteome. \u003cem\u003eNature\u003c/em\u003e\u003cstrong\u003e509\u003c/strong\u003e, 582-587, doi:10.1038/nature13319 (2014).\u003c/li\u003e\n\u003cli\u003eUniProt: the Universal Protein Knowledgebase in 2023. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e51\u003c/strong\u003e, D523-d531, doi:10.1093/nar/gkac1052 (2023).\u003c/li\u003e\n\u003cli\u003eO'Leary, N. A.\u003cem\u003e et al.\u003c/em\u003e Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e44\u003c/strong\u003e, D733-745, doi:10.1093/nar/gkv1189 (2016).\u003c/li\u003e\n\u003cli\u003eMann, M., Kumar, C., Zeng, W. F. \u0026amp; Strauss, M. T. Artificial intelligence for proteomics and biomarker discovery. \u003cem\u003eCell systems\u003c/em\u003e\u003cstrong\u003e12\u003c/strong\u003e, 759-770, doi:10.1016/j.cels.2021.06.006 (2021).\u003c/li\u003e\n\u003cli\u003eXiang, R.\u003cem\u003e et al.\u003c/em\u003e Increased expression of peptides from non-coding genes in cancer proteomics datasets suggests potential tumor neoantigens. \u003cem\u003eCommunications biology\u003c/em\u003e\u003cstrong\u003e4\u003c/strong\u003e, 496, doi:10.1038/s42003-021-02007-2 (2021).\u003c/li\u003e\n\u003cli\u003eLiu, C. X. \u0026amp; Chen, L. L. Circular RNAs: Characterization, cellular roles, and applications. \u003cem\u003eCell\u003c/em\u003e\u003cstrong\u003e185\u003c/strong\u003e, 2016-2034, doi:10.1016/j.cell.2022.04.021 (2022).\u003c/li\u003e\n\u003cli\u003ePamudurti, N. R.\u003cem\u003e et al.\u003c/em\u003e Translation of CircRNAs. \u003cem\u003eMolecular cell\u003c/em\u003e\u003cstrong\u003e66\u003c/strong\u003e, 9-21.e27, doi:10.1016/j.molcel.2017.02.021 (2017).\u003c/li\u003e\n\u003cli\u003e Poliseno, L., Lanza, M. \u0026amp; Pandolfi, P. P. Coding, or non-coding, that is the question. \u003cem\u003eCell research\u003c/em\u003e\u003cstrong\u003e34\u003c/strong\u003e, 609-629, doi:10.1038/s41422-024-00975-8 (2024).\u003c/li\u003e\n\u003cli\u003e Zhao, X., Cai, Y. \u0026amp; Xu, J. Circular RNAs: Biogenesis, Mechanism, and Function in Human Cancers. \u003cem\u003eInternational journal of molecular sciences\u003c/em\u003e\u003cstrong\u003e20\u003c/strong\u003e, doi:10.3390/ijms20163926 (2019).\u003c/li\u003e\n\u003cli\u003e Liu, C. X. \u0026amp; Chen, L. L. Expanded regulation of circular RNA translation. \u003cem\u003eMolecular cell\u003c/em\u003e\u003cstrong\u003e81\u003c/strong\u003e, 4111-4113, doi:10.1016/j.molcel.2021.09.023 (2021).\u003c/li\u003e\n\u003cli\u003e Yang, Y.\u003cem\u003e et al.\u003c/em\u003e Extensive translation of circular RNAs driven by N(6)-methyladenosine. \u003cem\u003eCell research\u003c/em\u003e\u003cstrong\u003e27\u003c/strong\u003e, 626-641, doi:10.1038/cr.2017.31 (2017).\u003c/li\u003e\n\u003cli\u003e Niu, D., Wu, Y. \u0026amp; Lian, J. Circular RNA vaccine in disease prevention and treatment. \u003cem\u003eSignal Transduction and Targeted Therapy\u003c/em\u003e\u003cstrong\u003e8\u003c/strong\u003e, 341, doi:10.1038/s41392-023-01561-x (2023).\u003c/li\u003e\n\u003cli\u003e Huang, W.\u003cem\u003e et al.\u003c/em\u003e TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e49\u003c/strong\u003e, D236-d242, doi:10.1093/nar/gkaa823 (2021).\u003c/li\u003e\n\u003cli\u003e Qin, Y.\u003cem\u003e et al.\u003c/em\u003e Reference-free and \u0026lt;em\u0026gt;de novo\u0026lt;/em\u0026gt; Identification of Circular RNAs. 2020.2004.2021.050617, doi:10.1101/2020.04.21.050617 %J bioRxiv (2020).\u003c/li\u003e\n\u003cli\u003e Desiere, F.\u003cem\u003e et al.\u003c/em\u003e The PeptideAtlas project. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e34\u003c/strong\u003e, D655-658, doi:10.1093/nar/gkj040 (2006).\u003c/li\u003e\n\u003cli\u003e Letunic, I., Khedkar, S. \u0026amp; Bork, P. SMART: recent updates, new developments and status in 2020. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e49\u003c/strong\u003e, D458-D460, doi:10.1093/nar/gkaa937 %J Nucleic Acids Research (2020).\u003c/li\u003e\n\u003cli\u003e Sigrist, C. J.\u003cem\u003e et al.\u003c/em\u003e New and continuing developments at PROSITE. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e41\u003c/strong\u003e, D344-347, doi:10.1093/nar/gks1067 (2013).\u003c/li\u003e\n\u003cli\u003e Jiang, Y.\u003cem\u003e et al.\u003c/em\u003e Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma. \u003cem\u003eNature\u003c/em\u003e\u003cstrong\u003e567\u003c/strong\u003e, 257-261, doi:10.1038/s41586-019-0987-8 (2019).\u003c/li\u003e\n\u003cli\u003e Beaman, M. M.\u003cem\u003e et al.\u003c/em\u003e Novel association of Dandy-Walker malformation with CAPN15 variants expands the phenotype of oculogastrointestinal neurodevelopmental syndrome. \u003cem\u003eAmerican journal of medical genetics. Part A\u003c/em\u003e\u003cstrong\u003e191\u003c/strong\u003e, 2757-2767, doi:10.1002/ajmg.a.63363 (2023).\u003c/li\u003e\n\u003cli\u003e Li, Q.\u003cem\u003e et al.\u003c/em\u003e Role of Scrib and Dlg in anterior-posterior patterning of the follicular epithelium during Drosophila oogenesis. \u003cem\u003eBMC developmental biology\u003c/em\u003e\u003cstrong\u003e9\u003c/strong\u003e, 60, doi:10.1186/1471-213x-9-60 (2009).\u003c/li\u003e\n\u003cli\u003e Kramer, M. C.\u003cem\u003e et al.\u003c/em\u003e Combinatorial control of Drosophila circular RNA expression by intronic repeats, hnRNPs, and SR proteins. \u003cem\u003eGenes \u0026amp; development\u003c/em\u003e\u003cstrong\u003e29\u003c/strong\u003e, 2168-2182, doi:10.1101/gad.270421.115 (2015).\u003c/li\u003e\n\u003cli\u003e Moteki, S. \u0026amp; Price, D. Functional coupling of capping and transcription of mRNA. \u003cem\u003eMolecular cell\u003c/em\u003e\u003cstrong\u003e10\u003c/strong\u003e, 599-609, doi:10.1016/s1097-2765(02)00660-3 (2002).\u003c/li\u003e\n\u003cli\u003e Spriggs, K. A., Bushell, M. \u0026amp; Willis, A. E. Translational regulation of gene expression during conditions of cell stress. \u003cem\u003eMolecular cell\u003c/em\u003e\u003cstrong\u003e40\u003c/strong\u003e, 228-237, doi:10.1016/j.molcel.2010.09.028 (2010).\u003c/li\u003e\n\u003cli\u003e Advani, V. M. \u0026amp; Dinman, J. D. Reprogramming the genetic code: The emerging role of ribosomal frameshifting in regulating cellular gene expression. \u003cem\u003eBioEssays : news and reviews in molecular, cellular and developmental biology\u003c/em\u003e\u003cstrong\u003e38\u003c/strong\u003e, 21-26, doi:10.1002/bies.201500131 (2016).\u003c/li\u003e\n\u003cli\u003e Qin, Y.\u003cem\u003e et al.\u003c/em\u003e The highly conserved LepA is a ribosomal elongation factor that back-translocates the ribosome. \u003cem\u003eCell\u003c/em\u003e\u003cstrong\u003e127\u003c/strong\u003e, 721-733, doi:10.1016/j.cell.2006.09.037 (2006).\u003c/li\u003e\n\u003cli\u003e Yamamoto, H.\u003cem\u003e et al.\u003c/em\u003e EF-G and EF4: translocation and back-translocation on the bacterial ribosome. \u003cem\u003eNature reviews. Microbiology\u003c/em\u003e\u003cstrong\u003e12\u003c/strong\u003e, 89-100, doi:10.1038/nrmicro3176 (2014).\u003c/li\u003e\n\u003cli\u003e Boutet, E., Lieberherr, D., Tognolli, M., Schneider, M. \u0026amp; Bairoch, A. UniProtKB/Swiss-Prot. \u003cem\u003eMethods in molecular biology (Clifton, N.J.)\u003c/em\u003e\u003cstrong\u003e406\u003c/strong\u003e, 89-112, doi:10.1007/978-1-59745-535-0_4 (2007).\u003c/li\u003e\n\u003cli\u003e Piwecka, M.\u003cem\u003e et al.\u003c/em\u003e Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function. \u003cem\u003eScience (New York, N.Y.)\u003c/em\u003e\u003cstrong\u003e357\u003c/strong\u003e, doi:10.1126/science.aam8526 (2017).\u003c/li\u003e\n\u003cli\u003e Andreev, D. E.\u003cem\u003e et al.\u003c/em\u003e Non-AUG translation initiation in mammals. \u003cem\u003eGenome biology\u003c/em\u003e\u003cstrong\u003e23\u003c/strong\u003e, 111, doi:10.1186/s13059-022-02674-2 (2022).\u003c/li\u003e\n\u003cli\u003e Deutsch, E. W.\u003cem\u003e et al.\u003c/em\u003e The ProteomeXchange consortium at 10 years: 2023 update. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e51\u003c/strong\u003e, D1539-D1548, doi:10.1093/nar/gkac1040 %J Nucleic Acids Research (2022).\u003c/li\u003e\n\u003cli\u003e Griss, J.\u003cem\u003e et al.\u003c/em\u003e Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets. \u003cem\u003eNat Methods\u003c/em\u003e\u003cstrong\u003e13\u003c/strong\u003e, 651-656, doi:10.1038/nmeth.3902 (2016).\u003c/li\u003e\n\u003cli\u003e Bolger, A. M., Lohse, M. \u0026amp; Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. \u003cem\u003eBioinformatics (Oxford, England)\u003c/em\u003e\u003cstrong\u003e30\u003c/strong\u003e, 2114-2120, doi:10.1093/bioinformatics/btu170 (2014).\u003c/li\u003e\n\u003cli\u003e Liu, M., Wang, Q., Shen, J., Yang, B. B. \u0026amp; Ding, X. Circbank: a comprehensive database for circRNA with standard nomenclature. \u003cem\u003eRNA biology\u003c/em\u003e\u003cstrong\u003e16\u003c/strong\u003e, 899-905, doi:10.1080/15476286.2019.1600395 (2019).\u003c/li\u003e\n\u003cli\u003e Wu, W., Ji, P. \u0026amp; Zhao, F. CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes. \u003cem\u003eGenome biology\u003c/em\u003e\u003cstrong\u003e21\u003c/strong\u003e, 101, doi:10.1186/s13059-020-02018-y (2020).\u003c/li\u003e\n\u003cli\u003e Glažar, P., Papavasileiou, P. \u0026amp; Rajewsky, N. circBase: a database for circular RNAs. \u003cem\u003eRNA (New York, N.Y.)\u003c/em\u003e\u003cstrong\u003e20\u003c/strong\u003e, 1666-1670, doi:10.1261/rna.043687.113 (2014).\u003c/li\u003e\n\u003cli\u003e Wu, T. D. \u0026amp; Watanabe, C. K. GMAP: a genomic mapping and alignment program for mRNA and EST sequences. \u003cem\u003eBioinformatics (Oxford, England)\u003c/em\u003e\u003cstrong\u003e21\u003c/strong\u003e, 1859-1875, doi:10.1093/bioinformatics/bti310 (2005).\u003c/li\u003e\n\u003cli\u003e Li, B. \u0026amp; Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. \u003cem\u003eBMC bioinformatics\u003c/em\u003e\u003cstrong\u003e12\u003c/strong\u003e, 323, doi:10.1186/1471-2105-12-323 (2011).\u003c/li\u003e\n\u003cli\u003e Cox, J. \u0026amp; Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. \u003cem\u003eNature biotechnology\u003c/em\u003e\u003cstrong\u003e26\u003c/strong\u003e, 1367-1372, doi:10.1038/nbt.1511 (2008).\u003c/li\u003e\n\u003cli\u003e Noble, W. S. Mass spectrometrists should search only for peptides they care about. \u003cem\u003eNat Methods\u003c/em\u003e\u003cstrong\u003e12\u003c/strong\u003e, 605-608, doi:10.1038/nmeth.3450 (2015).\u003c/li\u003e\n\u003cli\u003e Langmead, B. \u0026amp; Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. \u003cem\u003eNat Methods\u003c/em\u003e\u003cstrong\u003e9\u003c/strong\u003e, 357-359, doi:10.1038/nmeth.1923 (2012).\u003c/li\u003e\n\u003cli\u003e Li, H.\u003cem\u003e et al.\u003c/em\u003e The Sequence Alignment/Map format and SAMtools. \u003cem\u003eBioinformatics (Oxford, England)\u003c/em\u003e\u003cstrong\u003e25\u003c/strong\u003e, 2078-2079, doi:10.1093/bioinformatics/btp352 (2009).\u003c/li\u003e\n\u003cli\u003e Zhao, J.\u003cem\u003e et al.\u003c/em\u003e IRESfinder: Identifying RNA internal ribosome entry site in eukaryotic cell using framed k-mer features. \u003cem\u003eJournal of genetics and genomics = Yi chuan xue bao\u003c/em\u003e\u003cstrong\u003e45\u003c/strong\u003e, 403-406, doi:10.1016/j.jgg.2018.07.006 (2018).\u003c/li\u003e\n\u003cli\u003e Zhou, Y., Zeng, P., Li, Y. H., Zhang, Z. \u0026amp; Cui, Q. SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features. \u003cem\u003eNucleic acids research\u003c/em\u003e\u003cstrong\u003e44\u003c/strong\u003e, e91, doi:10.1093/nar/gkw104 (2016).\u003c/li\u003e\n\u003cli\u003e P\u0026aacute;ll, S.\u003cem\u003e et al.\u003c/em\u003e Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS. \u003cem\u003eThe Journal of chemical physics\u003c/em\u003e\u003cstrong\u003e153\u003c/strong\u003e, 134110, doi:10.1063/5.0018516 (2020).\u003c/li\u003e\n\u003cli\u003e Elnaggar, A.\u003cem\u003e et al.\u003c/em\u003e ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. \u003cem\u003eIEEE transactions on pattern analysis and machine intelligence\u003c/em\u003e\u003cstrong\u003e44\u003c/strong\u003e, 7112-7127, doi:10.1109/tpami.2021.3095381 (2022).\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;| Statistics of BT circRNAs/BW ORFs supported by MS and/or Ribo-seq evidence.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"553\" 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RNA translation, proceeding in the 5’ end-to-3’ end direction exclusively, has been recognized as the norm for nearly a century. Here, we report a novel translation mode called ‘backward translation’ (BT) of circular RNAs, in which the triplet codons of circular RNAs can be decoded in the 3’ to 5’ direction to synthesize polypeptides/proteins, e.g., 5’-GUA-3’ as the start codon, instead of the conventional 5’-AUG-3’. Backward translation occurs broadly and conservatively as our comprehensive analysis of available transcriptomes, proteomes and translatomes revealed over 990,000 BT polypeptides/proteins across various tissues and species, including over 90,000 human BT proteins with dual experimental evidence from ribosome profile sequencing and mass spectrometry. Intriguingly, these proteins exhibit unique sequences and structural characteristics that distinguish them from conventional proteins. We studied in-depth BT of human hs.circCAPN15 and Drosophila dm.circSCRIB in vitro and in vivo, respectively. Both knock-out/knock-in and overexpression experiments confirmed the endogenous presence of BT proteins and highlighted their biological functions through pronounced phenotypic changes. Moreover, engineered exogenous circRNAs can be successfully backward-translated into proteins in human cells using synthetic Backward Translation Initiator Sequences (BTISs) derived from humans or Drosophila. In conclusion, our findings offer an unprecedented perspective to the genetic code and RNA translation, further unveiling the hidden proteome and elucidating the molecular diversity in living organisms, and potentially opening up a new frontier for exploring protein synthesis with broad practical implications.","manuscriptTitle":"Backward translation of circular RNAs","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-01-22 05:26:06","doi":"10.21203/rs.3.rs-5558507/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6ac50d43-6260-4933-b00f-2f205f5b1fe0","owner":[],"postedDate":"January 22nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":41889813,"name":"Biological sciences/Molecular biology/Translation"},{"id":41889814,"name":"Biological sciences/Genetics"}],"tags":[],"updatedAt":"2025-11-11T14:25:29+00:00","versionOfRecord":[],"versionCreatedAt":"2025-01-22 05:26:06","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5558507","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5558507","identity":"rs-5558507","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}