Full text
78,459 characters
· extracted from
preprint-html
· click to expand
The positionally conserved lncRNA DANCR is an essential regulator of zebrafish development and a human melanoma oncogene | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results The positionally conserved lncRNA DANCR is an essential regulator of zebrafish development and a human melanoma oncogene Stephanie M.E. Jones , Elizabeth A. Coe , Michael Shapiro , View ORCID Profile Igor Ulitsky , View ORCID Profile Robert N. Kelsh , View ORCID Profile Keith W. Vance doi: https://doi.org/10.1101/2025.03.21.644561 Stephanie M.E. Jones 1 Department of Life Sciences, University of Bath , Bath, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site Elizabeth A. Coe 1 Department of Life Sciences, University of Bath , Bath, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site Michael Shapiro 1 Department of Life Sciences, University of Bath , Bath, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site Igor Ulitsky 2 Department of Immunology and Regenerative Biology, Weizmann Institute of Science , Rehovot, Israel 3 Department of Molecular Neuroscience, Weizmann Institute of Science , Rehovot, Israel Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Igor Ulitsky Robert N. Kelsh 1 Department of Life Sciences, University of Bath , Bath, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Robert N. Kelsh Keith W. Vance 1 Department of Life Sciences, University of Bath , Bath, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Keith W. Vance For correspondence: k.w.vance{at}bath.ac.uk Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF ABSTRACT Long non-coding RNAs (lncRNAs) can regulate gene expression. Some are essential for organismal development and physiology and can contribute to diseases including cancer. Whilst most lncRNAs exhibit little sequence similarity, conservation of lncRNA transcription relative to neighbouring protein-coding genes suggests potential functional significance. Most positionally equivalent lncRNAs are uncharacterized and it remains unclear whether they exert similar roles in distant species. Here, we identified syntenic melanoma-associated lncRNAs predicted to be components of the MITF gene regulatory network in human melanoma, with positionally equivalent transcripts in zebrafish. We prioritized Differentiation Antagonizing Non-Protein Coding RNA ( DANCR ), a cancer-associated lncRNA critical for maintaining somatic progenitor cells in human models, for functional investigation. Dancr is a multi-exonic, cytoplasmically-enriched lncRNA transcribed from syntenic regions in the human and zebrafish genomes. MITF and c-MYC, key melanoma transcription factors, regulate human DANCR expression and melanoma patients with high DANCR display significantly decreased survival. DANCR is a melanoma oncogene that controls cancer-associated gene expression networks and promotes human melanoma cell proliferation and migration. Zebrafish dancr is dynamically expressed across multiple different cell types in the developing embryo, regulates genes involved in cell death, and is essential for embryonic development. Our work suggests that cancer-critical lncRNAs such as DANCR , expressed from similar regions in vertebrate genomes, may regulate related genes and processes involved in both embryonic development and tumorigenesis across species. INTRODUCTION Vertebrate genomes are extensively transcribed, expressing tens of thousands of long non-coding RNAs (lncRNAs) that do not encode proteins. LncRNAs are a functionally diverse class of molecules that regulate multiple molecular processes including gene transcription, chromatin modification, RNA processing, splicing, editing, localization and stability, as well as protein translation and localisation ( Mattick et al , 2023 ). Some lncRNAs exert important biological functions in development and normal physiology and have visible phenotypes when mutated in mice models ( Grote et al , 2013 ; Kopp et al , 2019 ; Marahrens et al , 1997 ). However, the importance of most lncRNAs remains unknown and many are considered to be non-functional transcriptional noise ( Ponting & Haerty, 2022 ). LncRNA sequence and transcription are rapidly turned over during evolution with only approximately 5% of lncRNA sequence, mostly lncRNA promoter regions and exonic splice enhancer (ESE) motifs, remaining conserved between vertebrates ( Hezroni et al , 2015 ; Ponjavic et al , 2007 ; Ponting & Haerty, 2022 ; Schuler et al , 2014 ). Despite this, large numbers of lncRNAs display dynamically regulated expression during development and are predicted to be biologically important. Moreover, the expression of syntenic lncRNAs from equivalent regions in distant genomes relative to their neighbouring protein coding genes has been shown to indicate functional significance. For example, the lncRNA Paupar is transcribed upstream from the Pax6 transcription factor gene in human, mouse, dog, frog and zebrafish. Mouse Paupar is co-expressed with Pax6 in the neural lineage and is required for postnatal neurogenesis in vivo and neuroblastoma cell proliferation and differentiation in vitro ( Pavlaki et al , 2022 ; Vance et al , 2014 ). The human PAUPAR orthologue is essential for cortical differentiation of embryonic stem cells and both human and mouse Paupar interact with PAX6 to regulate neural gene expression suggesting conserved mechanisms of action ( Pavlaki et al , 2018 ; Vance et al , 2014 ; Xu et al , 2021 ). Despite the rapid evolutionary turnover of their sequence, which may be consistent with only short sequences being required for function, the number of lncRNAs with essential functions in embryonic development and organismal physiology may be greater than that predicted based on primary sequence similarity alone. Comparative analysis of genomic and transcriptomic datasets has discovered syntenic orthologues of mammalian lncRNAs in distantly related vertebrate genomes. 570 human lncRNAs were predicted to have zebrafish orthologues based on conserved genomic locations and patterns of RNA-binding protein interactions ( Huang et al , 2024 ). Depletion of four of these resulted in developmental delays in zebrafish embryos and a reduction in proliferation in human cancer cells. Microsynteny analysis also identified 16 positionally conserved intergenic lncRNAs between amphioxus and human genomes ( Herrera-Ubeda et al , 2019 ). One of these, Hotairm1 , is similarly expressed in the anterior portion of the neural tube in both amphioxus and frog and is needed for development of the anterior part of the central nervous system in frogs. Whilst orthologous lncRNAs with similar functions can thus be identified based on syntenic transcription, positional equivalence does not necessarily imply biological function. Deletion of 25 syntenic lncRNAs in zebrafish, many of which were located in close genomic proximity to developmental regulatory genes, revealed that none of these lncRNAs were necessary for maintaining outwardly normal embryogenesis, viability or fertility ( Goudarzi et al , 2019 ). Individual lncRNAs therefore need to be prioritised and investigated on a case-by-case basis to define their relative importance in development and disease. Large-scale loss-of-function screens have suggested that some lncRNAs are essential for the growth of transformed cell lines in culture. CRISPR-Cas9 editing of lncRNA splice sites identified 230 lncRNAs as essential for the growth of chronic myeloid leukaemia K562 cells whilst CRISPRi-mediated repression of lncRNA transcription demonstrated that 499 human lncRNA loci are required for the growth of at least one transformed or stem cell line ( Liu et al , 2017 ; Liu et al , 2018 ). Indeed, mutations and alterations in lncRNA genes have been shown to contribute to the genetic susceptibility to cancer. LncRNA genes are frequently amplified or deleted in cancer and some function as part of oncogene and tumour suppressor gene regulatory networks to regulate cancer hallmarks in multiple different tumour types ( Huarte et al , 2010 ; Yan et al , 2015 ). The microphthalmia-associated transcription factor (MITF) plays a critical role in melanocyte development and in melanoma ( Goding & Arnheiter, 2019 ). MITF regulates genes important for proliferation, differentiation, senescence, invasion, metastasis and metabolism and several lncRNAs act within the MITF network in melanoma. DIRC3 is a MITF-repressed lncRNA that blocks the anchorage-independent growth of melanoma cells whilst the MITF activated lncRNA LENOX promotes melanoma cell survival and resistance to MAP kinase inhibitors ( Coe et al , 2019 ; Gambi et al , 2022 ). On the other hand, TINCR acts upstream of MITF to repress its expression and block the spread of melanoma whilst SAMMSON is frequently co-amplified with MITF in melanoma and is essential for melanoma cell proliferation and survival ( Leucci et al , 2016 ; Melixetian et al , 2021 ). LncRNA components of the MITF network are thus predicted to be important regulators of melanocyte development and melanoma biology. In this study, we used positional synteny to annotate lncRNA components of the MITF network in human melanoma which may also have conserved functions in vertebrate development. We discovered that transcription of the cancer-associated lncRNA Differentiation Antagonizing Non-Protein Coding RNA (DANCR) relative to its neighbouring protein-coding genes is robustly conserved throughout vertebrate evolution and prioritised it as an exemplar for functional investigation. Human DANCR is a MITF and c-MYC regulated lncRNA oncogene that promotes melanoma cell proliferation and migration. Consistently, melanoma patients with high DANCR expression have significantly decreased survival rates. Zebrafish dancr is dynamically expressed across multiple tissues and cell types in the developing embryo and is essential for early embryonic development. Both human and zebrafish DANCR are multi-exonic, cytoplasmically-enriched lncRNAs that regulate related genes and pathways involved in cell cycle and cell death. Cancer-associated lncRNAs expressed from equivalent regions in vertebrate genomes, exemplified by DANCR , may therefore act as conserved regulators of both embryonic development and tumorigenesis. RESULTS DANCR is a candidate melanoma-associated lncRNA expressed from positionally equivalent genomic locations in vertebrates Here, we identified lncRNAs expressed from equivalent regions in the human and zebrafish genomes in which the human ortholog is expressed in melanoma and targeted by the key MITF transcription factor. These represent candidate melanoma associated lncRNAs that may have important functions both in the development of the neural crest and other lineages and in melanoma biology. We assembled a set of 11,881 melanocyte and melanoma expressed human and 11,511 zebrafish lncRNA transcript models using publicly available RNA-seq data and annotated 2,796 syntenic human lncRNA that have a positionally equivalent lncRNA transcript in zebrafish ( Supplemental Table 1 ). 506 of these had promoters or genomic loci bound by MITF in human melanoma cells ( Fig 1A ; Supplemental Table 2 ), including the LINC00520 and LINC00673 (SLNCR1/slincR) orthologous lncRNAs that have previously been implicated in human melanoma and zebrafish biology ( Dasgupta et al , 2023 ; Luan et al , 2020 ; Schmidt et al , 2016 ; Stanicek et al , 2020 ). Download figure Open in new tab Figure 1. DANCR is a candidate melanoma associated lncRNA expressed from equivalent genomic locations in vertebrates. (A) Workflow used to identify human MITF-bound melanocyte and/or melanoma expressed lncRNAs that are transcribed from equivalent regions in the zebrafish genome. (B) DANCR lncRNA is expressed from syntenic regions in vertebrate genomes in an equivalent direction relative to the neighbouring Usp46 and Rasl11b protein-coding genes. (C) DANCR is a multi-exonic lncRNA that contains two snoRNAs embedded within separate introns in the human (GRCh37/hg19) and zebrafish (GRCz10/danRer11) genomes. (D,E) DANCR is cytoplasmically enriched in both human and zebrafish. Human SK-MEL-28 melanoma cells (D) and zebrafish embryonic cells (E) were biochemically separated into cytoplasmic and nuclear fractions. The relative levels of DANCR and the indicated nuclear transcript controls were determined in each fraction by RT-qPCR. One of these lncRNAs, DANCR , was prioritised for functional investigation for the following reasons: (1) The genomic neighbourhood encompassing DANCR shows strong synteny amongst diverse vertebrates ( Fig 1B ). Positionally equivalent multi-exonic DANCR transcripts are expressed from orthologous regions in multiple vertebrate genomes, including human, mouse, chicken, zebrafish and elephant shark ( Fig 1B ), and in a similar direction relative to the neighbouring protein-coding genes. (2) Human DANCR is required for somatic progenitor cell self-renewal and acts as an oncogene in several different cancers ( Gan et al , 2022 ; Kretz et al , 2012 ; Yu et al , 2020 ; Yuan et al , 2016 ). However, its importance in melanoma and role in embryonic development is not well defined. (3) DANCR is a small RNA host gene in vertebrates. The locus contains two snoRNAs in zebrafish and a miRNA and snoRNA in humans within separate introns ( Fig 1C ). As 30 out of all syntenic lncRNAs that we identified overlapped a snoRNA, Dancr may be representative of a wider subclass of lncRNAs that host small RNAs within their introns. (4) The DANCR transcript is cytoplasmically enriched in both human melanoma cells ( Fig 1D ) and zebrafish embryonic cells ( Fig 1E ), suggesting that human and zebrafish DANCR may exert similar functions or work using similar mechanisms of action. DANCR is a clinically important MITF and c-MYC regulated lncRNA in human melanoma Human DANCR has been identified as a growth promoting oncogene in several different cancers ( Lu et al , 2018 ; Mitra et al , 2022 ). However, its regulation and functional importance in melanoma is poorly defined. Publicly available ChIP-seq data show that the DANCR promoter is bound by MITF and c-MYC ( Fig 2A ). These are the two most highly expressed bHLH-Zip transcription factors in the melanocyte lineage and are known regulators of genes involved in development and cancer ( Hejna et al , 2019 ). To test if DANCR is directly regulated by MITF and c-MYC in melanoma we depleted these two transcription factors in multiple human melanoma cell lines using siRNA transfection and measured changes in gene expression using RT-qPCR. MITF knockdown led to a significant increase in DANCR levels in 501mel and decrease in A375 cells ( Fig 2B ). siRNA transfection did not significantly reduce MITF in SK-MEL-28 cells and no significant changes in DANCR were observed ( Fig 2B ). c-MYC depletion significantly decreased DANCR expression in 501mel, A375 and SK-MEL-28 cells ( Fig 2C ). MITF thus regulates DANCR in a melanoma cell dependent manner whilst c-MYC activates DANCR across melanoma cells. DANCR may therefore act within these cancer critical gene regulatory networks to control melanoma growth and metastasis. In accordance with this, DANCR is highly expressed across all four melanoma genomic subtypes (NRAS, NF1, BRAF, and triple negative) in The Cancer Genome Atlas (TCGA) genomic and transcriptomic data ( Fig 2D ) ( Cancer Genome Atlas, 2015 ) and in all melanoma cell subpopulations within a heterogeneous tumour model ( Gambi et al , 2022 ). Moreover, analysis of TCGA survival data shows that melanoma patients with high DANCR expression have significantly decreased survival ( Fig 2E ). DANCR may play an essential role in melanoma downstream of MITF and c-MYC irrespective of tumour genomic status. Download figure Open in new tab Figure 2. DANCR is a clinically important MITF and c-MYC regulated lncRNA in human melanoma. (A) UCSC genome browser view showing MITF and c-MYC ChIP-seq peaks across the DANCR locus (GRCh37/hg19). (B) MITF and (C) c-MYC regulate DANCR in melanoma. siRNA transfection was used to deplete MITF and c-MYC levels in 501mel, A375 and SK-MEL-28 cells. Expression changes were analysed using RT-qPCR. POLII was used as a reference gene. Results presented as mean +/− SEM., n≥2; Two-tailed two sample t-test p<0.05*, p<0.01**, p<0.001***. Individual dots represent separate biological replicates. (D) DANCR is highly expressed in all genomic subtypes of melanoma. Box and whiskers plots (min to max; showing all points) representing DANCR expression in NRAS , NF1 , BRAF , and triple negative genomic subtypes of melanoma using TCGA Skin Cutaneous Melanoma (SKCM) RNA-seq datasets. (E) Melanoma patients with high DANCR expression have significantly decreased survival. TCGA SKCM patients were sorted based on DANCR levels using OncoLnc. Percent survival was compared between DANCR high (top third) and DANCR low (bottom third) groups. Cox regression analysis shows that high DANCR expression correlates with statistically significant decreased survival (logrank p-value=0.00628) DANCR promotes human melanoma cell proliferation and migration To investigate the role of DANCR in melanoma we first defined the transcriptional response to DANCR loss-of-function. Transient transfection of a DANCR targeting siRNA reduced DANCR transcript levels by ∼85% in SK-MEL-28 cells. This resulted in significant changes in the expression of 98 genes compared to a non-targeting control (DESeq2 padj=0) ( Fig 3A ) . Forty-three of these genes, including DANCR itself, were significantly downregulated whilst 55 genes were upregulated ( Supplemental Table 3 ). GO analysis revealed that DANCR target genes in SK-MEL-28 cells are enriched for regulators of cell migration, cell adhesion, phosphorylation, response to stress, cell proliferation, programmed cell death and cell cycle and include genes such as CDKN1A , CCND1 , GAS1 , CASP7 and the ALDH1A3 melanoma stem cell marker ( Fig 3B ). KEGG pathway annotation showed that DANCR regulated genes are involved in cancer associated signalling pathways such as phosphoinositide 3-kinase (PI3K)-AKT, focal adhesion and p53 key signalling ( Fig 3C ). DANCR -regulated processes and pathways are involved in both cancer and normal development and the results suggest that human DANCR may act to control melanoma cell proliferation and migration. Download figure Open in new tab Figure 3. DANCR promotes human melanoma cell proliferation and migration. (A, B, C) DANCR target genes are enriched for regulators of cancer associated processes and pathways including cell proliferation, migration and death. (A) siRNA mediated DANCR depletion in SK-MEL-28 cells induces statistically significant changes in the expression of 98 genes compared to a non-targeting control (DESeq2 padj=0). Gene Ontology enrichment (B) and KEGG pathway (C) analysis of the DANCR regulated gene set was performed. Representative significantly enriched categories (FDR 5%) and pathways (FDR 10%) are shown. The number of genes found in each category are indicated. (D, E, F, G, H) DANCR promotes melanoma cell proliferation and migration. DANCR levels were depleted in SK-MEL-28 cells using two independent siRNAs. Three days later DANCR expression was determined using RT-qPCR (D, F) and proliferation (E) or wound healing (G, H) assays set up. For proliferation analysis, cells were seeded in a 6-well plate and the total number of cells were counted at days 0, 3 and 5 (E). For wound healing assays, cells were first treated with mitomycin-C to block cell proliferation and migration was then determined using Ibidi chambers (Culture-Inserts 2 Well). The gap was imaged at 0, 24 and 48 hours and percentage gap closure calculated using the ImageJ Wound Healing plugin (G, H). Statistical analysis was performed at the 48-hour time point. For all RT-qPCR experiments, expression changes are shown relative to a non-targeting negative control siRNA (set at 1). POLII was used as a reference gene. All results presented as mean +/− SEM., n=3. Two-tailed two sample t-test p<0.05*, p<0.01**, p<0.001***. Individual dots represent separate biological replicates. To test this, we determined the effect of silencing DANCR on cell behaviour using growth and wound healing assays. Depletion of DANCR by approximately 50-75% using transient transfection of two independent siRNAs reduced both the growth and migratory capacity of SK-MEL-28 cells compared to a non-targeting control ( Fig 3D, E, F, G, H ). DANCR depletion using siRNA did not affect expression of the embedded SNORA26 gene in melanoma cells ( Supplemental Fig 1 ), suggesting that the mature DANCR transcript is responsible for regulating these phenotypic changes. DANCR regulation of proliferation and migration was then corroborated in A375 cells using CRISPR interference (CRIPSRi) ( Supplemental Fig 2 ). Recruitment of the catalytically inactive dCas9-KRAB transcriptional repressor to the DANCR promoter using two different single guide RNAs (sgRNAs) silenced DANCR transcription by approximately 70-80% compared to a non-targeting control and also led to a significant reduction in A375 cell proliferation and migration. Altogether, the evidence suggests that human DANCR is a positionally conserved, clinically relevant oncogene that acts in a transcript-dependent manner to regulate gene expression programmes promoting proliferation and cell migration in melanoma. Dancr is dynamically expressed across multiple tissues and cell types in the developing zebrafish embryo We next investigated the function of the zebrafish orthologue of DANCR in development. To do this, the temporal expression profile of dancr and its two embedded snoRNAs, snora26 and snora27 , was determined in whole wild type AB zebrafish embryos. RT-qPCR revealed that all three are expressed in all time points studied from 10-30 hours post-fertilisation (hpf) and that variations in the expression of dancr do not correlate with changes in either snoRNA ( Fig. 4A ). RNAscope in situ hybridisation (ISH) was then performed in Tg(Sox10:Cre)ba74; Tg(hsp70l:loxP-dsRed-loxP –Lyn-Egfp) transgenic zebrafish to define the spatiotemporal expression of dancr during embryogenesis and enable lineage tracing of neural crest cells and their derivatives ( Rodrigues et al , 2012 ; Subkhankulova et al , 2023 ). The results showed that dancr is widely expressed in all developmental stages studied (18, 22, 30 hpf) ( Fig 4B, C, D ). At 18 hpf dancr is expressed in the trunk and at lower levels in the GFP positive cranial neural crest cells (NCCs) ( Fig 4B ). At 22 hpf, dancr is expressed across the embryo and is most prominent in the posterior trunk, anterior tail, forebrain, eye and in the cranial and trunk NCC populations ( Fig 4C ). By 30 hpf, dancr expression becomes more restricted and dancr transcripts are predominantly found in the posterior trunk, anterior tail, and in the eye, including both lens and retina ( Fig 4D ). There is a visible reduction in dancr levels in the head and forebrain at 30 hpf compared to 22 hpf and in the number of dancr expressing cranial and vagal NCCs ( Fig 2C, D ). Dancr is also expressed in the somitic blocks but not in the notochord at 30 hpf ( Fig 4D ). Furthermore, dancr is co-expressed with mitfa in a subset of sox10 positive presumptive melanoblasts in the tail region of the zebrafish embryo at 30 hpf ( Fig 4E ), consistent with the hypothesis that it is a conserved component of the Mitf network in zebrafish melanocyte development and human melanoma. RNAscope also showed that dancr transcripts are mainly located in the cytoplasm in zebrafish embryos at 30 hpf and that nuclear dancr foci can also be detected in a small number of cells ( Fig 4F ). This agrees with the fractionation experiments in human and zebrafish cells and suggests that dancr can act both post-transcriptionally and as a direct regulator of gene transcription. Download figure Open in new tab Figure 4. Dancr is dynamically expressed in multiple tissues and cell types in the developing zebrafish embryo. Dancr , snora26 and snora27 are expressed during early embryonic development in zebrafish. (A) Dancr, snora26 and snora27 expression levels were measured in whole zebrafish embryos at the indicated developmental stages between 10-30 hpf using RT-qPCR. actb2 was used as a reference gene. Spearman rank correlation showed that there is no association between expression of dancr and either snora26 (R=0.064, p=0.82) or snora27 (R=0.054, p=0.85). (B, C, D) Dancr is dynamically expressed in multiple tissues and cell types during zebrafish embryogenesis. Zebrafish dancr RNA transcripts were detected using RNAscope ISH on fixed embryos at 18 hpf (B), 22 hpf (C) and 30 hpf (D). Embryos are shown in lateral view. Confocal imaging of dancr (white), GFP expressing NCCs (green), nuclear DAPI (blue) and merged channels are shown. A 20X objective was used to obtain the representative images presented. Each representative image is derived from an individual Z-slice from the same embryo. White arrow heads indicate examples of neural crest cells expressing dancr . Scale bar = 200μm. Inset scale bar = 50μm. (E) A subset of melanoblasts co-express mitfa and dancr . RNAscope ISH detection of dancr (white) and mitfa (red) and immunofluorescence labelling of sox10 (GFP) positive NCCs and derivatives (green) in the tail of 30hpf zebrafish embryos. A 63X objective was used to obtain representative images from an individual focal plane in a 3D projection. Embryos are presented laterally with the orientation of the head to the left. White arrow heads indicate examples of co-expression of mitfa and dancr within sox10 positive melanoblasts. Scale bar = 50μm. Inset bar = 20μm. (F) Dancr transcript is enriched in the cytoplasm of cells in the developing zebrafish development. RNAscope ISH detecting dancr (white) and DAPI staining (blue) in the tail region of a single embryo at 30 hpf using a 63X objective. Embryos are shown in lateral view. Representative confocal image derived from an individual focal plane. The white and red arrowheads indicate nuclear and cytoplasmic dancr expression respectively. Scale bar = 50μm. Inset bar = 20μm. Dancr regulates genetic pathways involved in cell death The conservation of DANCR transcription and dynamically regulated expression of dancr in the zebrafish embryo suggest that it may be important for zebrafish development. To study this, the dancr promoter region was deleted using CRISPR-Cas9 genome editing with a pool of four guide RNAs, and F0 crispant zebrafish embryos were analysed at 24 or 30 hpf ( Fig 5A and Supplemental Fig 3 ). RNA-seq showed that deletion of the dancr promoter effectively reduced transcription across most of the dancr locus, with the exception of the last exon, in dancr del F0 crispants compared to mock control zebrafish at 30 hpf ( Fig 5A ). This led to a significant decrease in the levels of dancr , snora26 and snora27 as evaluated by RT-qPCR ( Fig 5B ). Furthermore, dancr promoter deletion resulted in significant changes in the expression of 164 genes (DESeq2 padj=1.0) ( Fig 5C and Supplemental Table 4 ). 124 genes are up-regulated and 40 are down-regulated in F0 crispants compared to control zebrafish. Dancr regulated genes are significantly enriched in KEGG pathways involved in necroptosis, C-type lectin receptor signalling, Herpes simplex virus 1 infection, p53 signalling, steroid biosynthesis and Toll-like receptor signalling pathway ( Fig 5D ). These pathways regulate programmed cell death and the immune response and include key developmental and cancer-associated genes such as cdkn1a, casp8, mdm2, bcl3, pou2f2a, irf9, gad45aa and mmp9 as well as the cbx7a component of the Prc1 complex which showed the greatest change in expression upon dancr loss-of-function. Download figure Open in new tab Figure 5. Dancr regulates gene expression pathways involved in cell death. CRISPR-Cas9 mediated deletion of the zebrafish dancr promoter leads to a reduction in dancr , snora26 and snora27 expression. (A) Integrative Genomics Viewer visualisation of RNA-seq reads mapping to the dancr locus in mock control and F0 dancr crispant embryos at 30 hpf. The location of the four guide RNAs targeting the dancr promoter is shown. (B) Dancr, snora26 and snora27 expression levels were measured in F0 dancr crispant and mock control embryos at 30 hpf using RT-qPCR. actb2 was used as a reference gene. Results presented as mean ± sem, n= 3. Two-tailed two sample t-test p<0.01**. Individual dots represent separate biological replicates. (C, D) Dancr regulates gene pathways involved in cell death and the immune response in the developing zebrafish embryo. (C) Dancr promoter deletion induces statistically significant changes in the expression of 164 genes (DESeq2 padj=1.0). (D) KEGG pathway analysis of the dancr regulated gene set identified significantly enriched pathways (FDR 5%). The number of genes found in each category are indicated. Dancr is essential for zebrafish embryogenesis Deletion of the dancr promoter led to a large increase in the number of abnormal embryos (n=163/292) compared to uninjected wild type sibling (n=28/677) and mock (n=23/220) control embryos at 24 hpf ( Fig 6A, B ). Multiple overt developmental defects were observed specifically in dancr del F0 crispants ( Fig 6A ) and phenotypic abnormalities were separated into four classes based on their severity ( Fig 6C ). The F0 dancr del crispant embryos had defects in the anterior to posterior axis, with the most severe Class I embryos lacking defined trunk and tail tissues and showing a reduction in head size, although anterior brain and eyes are present. Class II F0 dancr crispant embryos had identifiable trunk tissue, but with the tail poorly defined, and were generally underdeveloped and lacked somite patterning. Necrosis was prominent in both Class I and Class II embryos. Class III F0 dancr crispant embryos had a partial disruption to the tail which was either bent or coiled and a reduced head size; somites were present, but were block-like, lacking the classic V-shape. Class IV dancr del crispant embryos appeared to be phenotypically normal at 24 hpf and showed no discernible abnormalities. 70% of dancr del crispants embryos have a visible Class I-III phenotype at 24 hpf with approximately 30% of these being categorised as Class I with the most severe abnormalities ( Fig 6C ). Co-injection of 800 pg in vitro transcribed mature dancr lncRNA that has the snoRNA containing introns removed in dancr del crispants significantly (two-tailed two sample t-test; p=0.01084) reduced the proportion of embryos with the most severe phenotype from 30% in crispant alone to 17% with crispant plus dancr ( Fig 6C ). This partial rescue suggests that the observed loss-of-function phenotype is mediated at least in part by the fully processed dancr lncRNA transcript. Download figure Open in new tab Figure 6: Dancr is essential for zebrafish embryogenesis. (A, B) Dancr del F0 crispant embryos display multiple overt developmental defects. The dancr promoter was deleted in zebrafish using CRISPR-Cas9 genome editing and F0 crispant embryos were analysed at 24 hpf. (A) Phenotypic abnormalities were separated into four classes based on their severity and representative images of the different classes are shown. Embryos are presented laterally. Scale bar =200μm. (B) The number of abnormal embryos was quantified for dancr F0 crispant, uninjected wild type sibling and mock control embryos. Results are presented as a percentage of total embryos. (C) The dancr transcript partially rescues the F0 dancr crispant phenotype. The indicated amounts of in vitro transcribed mature processed dancr lncRNA were co-injected with the Cas9-crRNA-tracrRNA RNP complex in a genome editing experiment. The total number of F0 dancr crispant embryos in each class was quantified at 24 hpf and presented as a percentage of total embryos. Two-tailed two sample t-test p<0.05*. DISCUSSION LncRNA sequence and transcription is rapidly turned over during evolution limiting the use of comparative sequence analysis to identify biologically important transcripts based on primary sequence similarity alone ( Schuler et al , 2014 ). As such, alternative approaches such as conservation of lncRNA genomic position relative to neighbouring protein coding genes and lncRNA subcellular localisation have been used to identify lncRNAs that act using similar mechanisms-of-action in distant species. To this end, syntenic lncRNAs possessing conserved functions in vertebrate development despite limited or no sequence similarity have been discovered and some of these have been implicated in cancer biology ( Huang et al , 2024 ). To search for new lncRNA regulators of melanoma biology and vertebrate development we have now identified 506 human candidate melanoma-associated lncRNAs whose loci are bound by MITF and that are transcribed from equivalent regions in the zebrafish genome. Our results demonstrate that one of these, DANCR , acts as an exemplar illustrating the potential importance of this set of lncRNAs. It displays robust positional synteny among diverse vertebrates, is required for early embryonic development in zebrafish and promotes proliferation and migration in human melanoma. MITF and c-MYC regulate DANCR in melanoma. DANCR levels correlate with essential growth regulatory genes including c-MYC across CCLE cancer cell lines and it is highly expressed in many different types of cancer. This indicates that DANCR may act within key proliferation inducing gene regulatory networks as a pan-cancer oncogene ( Lu et al , 2018 ; Mitra et al , 2022 ). Melanoma tumours are highly heterogeneous and comprise at least six different cell subpopulations with distinct biological phenotypes ( Rambow et al , 2019 ). The ability of these cell populations to transition between different cellular states drives melanoma growth and metastasis and is a major barrier to the effectiveness of current treatments. Whilst MITF acts as a rheostat to govern the generation of different melanoma cell states in response to changes in the microenvironment, broad DANCR expression suggests additional modes of regulation. DANCR is highly expressed in all known cell states in melanoma ( Gambi et al , 2022 ) and in all four tumour genomic subtypes suggesting that it may play an essential role in melanoma irrespective of tumour heterogeneity and genomic status. As such, our finding that DANCR is directly regulated by both MITF and c-MYC may explain its high expression in both proliferative (MITF-high) and invasive (MYC-high) transcriptional states in melanoma. As such, the therapeutic targeting of DANCR would be predicted to block the growth of all melanoma cell states and may have important implications for the development of new treatments to block the growth of drug-tolerant cell subpopulations and prevent tumour relapse. Despite the recognised importance of DANCR in cancer, its function in normal development and physiology is less well understood. Our results now show that dancr is an essential regulator of early vertebrate development. Dancr promoter deletion in zebrafish led to multiple defects in the development of the anterior to posterior axis where the most severely affected mutant embryos lacked clear trunk and tail tissues and had reduced head sizes. This represents one of the most profound loss-of-function phenotypes for a lncRNA in zebrafish development and shows at least a superficial resemblance to the snailhouse/bmp7a mutant phenotype ( Mullins et al , 1996 ). This indicates a possible contribution from disrupted BMP signalling during gastrulation, but the severity of the phenotype indicates that multiple embryological processes are likely disrupted; dissection of the mechanistic basis for the phenotype will be the subject of future studies. Dancr is expressed in multiple locations in the developing zebrafish embryo, including the somites, otic vesicle, NCCs and mitfa positive presumptive melanoblasts. dancr transcript levels decrease in cranial NCCs between 22 hpf and 30 hpf so that its expression becomes restricted to trunk NCC populations. As NCC development begins anteriorly and progresses along the anteroposterior axis ( Rocha et al , 2020 ), this progression in dancr expressing NCCs is consistent with a transient expression in premigratory and early migratory stages. The dynamically regulated pattern of dancr expression draws parallels to that found in human cell models of lineage differentiation where it was shown to be highly expressed in somatic epidermal, adipocyte and osteoblast progenitor cell populations and downregulated upon lineage differentiation ( Kretz et al , 2012 ). Moreover, DANCR knockdown in human organotypic epidermal tissue induced expression of differentiation genes. Together this suggests that dancr may have a conserved developmental function to inhibit differentiation and maintain stem cell-like properties of progenitor cell populations. Moreover, we speculate that DANCR may act in a similar way in cancer stem-cells, such as the drug tolerant neural crest stem cell-like populations in melanoma, and that DANCR dependent re-activation of developmental programmes associated with NCC development could contribute to melanoma growth and metastasis. The subcellular localization of lncRNAs is critical to their function and the same lncRNA can function differently in the nucleus and the cytoplasm through association with distinct sets of nucleic acid and protein targets ( Lee et al , 2016 ; Munschauer et al , 2018 ; Tichon et al , 2016 ). This is significant as many positionally conserved lncRNAs have been reported to display different subcellular localisation patterns in human and mouse stem cells and do not have conserved functions ( Guo et al , 2020 ). For example, the lncRNA Fast is transcribed from equivalent regions in the mouse and human genomes but the transcripts produced are processed differently. Human FAST acts in the cytoplasm to activate WNT signalling and regulate pluripotency whilst mouse FAST is retained in the nucleus through association with the PPIE splicing factor and is dispensable for pluripotency control. As such, the finding that both human and zebrafish DANCR transcripts are enriched in the cytoplasm is consistent with the hypothesis that they exert similar functions or that their mechanism of action is conserved. We thus predict that human and zebrafish DANCR act post-transcriptionally in the cytoplasm to control shared biological processes and pathways that are important in development and that are dysregulated in different types of cancer. Consistent with this, we found that human and zebrafish DANCR both regulate common pathways involved in cell death such as the p53 signalling pathway as well as some related genes. This includes the Cdkn1a mediator of p53-dependent cell cycle arrest and apoptosis that was identified as a common target in both loss-of-function models, as well as caspase family members ( CASP7 in human; casp8 in zebrafish) and matrix metalloproteinase genes involved in skin biology, apoptosis and melanoma metastasis ( MMP8 and MMP15 in humans; mmp9 and mmp13a in zebrafish). Our finding that the zebrafish dancr transcript partially rescued the loss-of-function phenotype observed in dancr del F0 crispants indicates that the developmental function of the locus is mediated at least in part by the fully spliced mature dancr lncRNA. However, DANCR is also a member of a sub-class of lncRNAs that act as host genes for small non-coding RNAs. Consistent with our findings, such transcripts are predominantly localised in the cytoplasm and are in general more widely expressed compared to most lncRNAs ( Monziani & Ulitsky, 2023 ). The DANCR locus contains two small patches of high DNA sequence vertebrate conservation within separate introns that overlap two small RNA genes. In zebrafish these are both snoRNAs, snora26 and snora27 , whilst in humans snora27 appears to have evolved into the MIR4449 miRNA. Accordingly, the processing of intronic snoRNAs and miRNAs is very similar and a subset of snoRNAs seem to have lost snoRNA functions and gained miRNA capabilities during evolution ( Scott & Ono, 2011 ). siRNA mediated depletion of DANCR targets the mature processed lncRNA transcript and did not affect the levels of SNORA26 suggesting that the embedded small RNAs do not play a significant role in controlling proliferation and migration in melanoma. Nevertheless, this does not exclude the possibility that snora26 and snora27 may exert developmental functions independent from the processed dancr transcript in zebrafish, which may contribute to the loss-of-function phenotype observed in dancr del F0 crispants, and that SNORA26 may also have an uncharacterised function in human development. This will be explored in future studies. We have identified a set of syntenic lncRNAs exemplified by DANCR , a multi-exonic, cytoplasmically enriched lncRNA in both human and zebrafish. DANCR is a melanoma-associated lncRNA and conserved small non-coding RNA host gene that is expressed from equivalent regions in diverse vertebrate genomes and in a similar direction relative to the neighbouring USP46 and RASL11B protein coding genes. We predict that such syntenic lncRNAs may have conserved gene regulatory functions in vertebrate development and that they may be important in melanoma and other cancers. METHODS Identification of human-zebrafish syntenic lncRNAs Zebrafish Ensembl 101 annotations together with RNA-seq data from early development ( Vejnar et al , 2019 ), ageing time points ( Aramillo Irizar et al , 2018 ), adult heart, brain, liver, muscle, blood ( Kaushik et al , 2013 ) and melanocyte and melanoma cells ( Kansler et al , 2017 ; Venkatesan et al , 2018 ) were used to assemble zebrafish transcript models. Pipeline for lncRNA annotation from RNA sequencing data (PLAR) was then performed as described in ( Hezroni et al , 2015 ) to generate a set of putative zebrafish lncRNAs. These were compared to our previously identified MITF-bound human melanocyte and melanoma expressed lncRNA dataset ( Coe et al , 2019 ) to identify syntenic lncRNAs expressed from equivalent regions in the human and zebrafish genomes. Transcriptomics For gene expression analysis in human melanoma cells, total RNA was prepared in triplicate from DANCR knockdown and control SK-MEL-28 cells using the GeneJET RNA purification Kit (ThermoFisher Scientific). Residual genomic DNA was then removed using DNA-free™ DNA Removal Kit (ThermoFisher Scientific). PolyA selected 150-bp paired end (PE150) RNA sequencing was performed on the Illumina HiSeq4000 (Novogene). A minimum depth of 30M mapped reads were generated per sample. Differential gene expression and Gene Ontology analyses were performed as described in ( Coe et al , 2019 ). For zebrafish RNA-sequencing, approximately 30 mock control and dancr del F0 crispants embryos in each group were homogenised using TRIzol (Invitrogen) and total RNA was isolated using the Quick-RNA Microprep Kit (Zymo Research). PolyA selected PE150 sequencing was performed on the Novoseq X Plus to a minimum depth of 50M reads per sample. Novogene Bioinformatics pipelines were used to align processed reads to the GRCz10/danRer10 genome with HISAT2, call differentially expressed genes using DESeq2 and perform KEGG pathway analysis. Plasmid construction sgRNAs targeting the DANCR promoter region were designed and cloned into pX-dCas9-mod-KRAB to generate plasmids for CRISPRi as described in ( Coe et al , 2019 ). For zebrafish dancr rescue experiments, full length dancr was synthesised as a gBlock and inserted as an XhoI fragment into pCS2+ (kindly provided by Dr Nikolas Nikolaou, University of Bath). The dancr gBlock sequence corresponds to the danRer11 RefSeq Gene LOC100536039 with a 5’-AGAC-3’ leader sequence and 5’-CTCGAG-3’ XhoI restriction site added to both ends. Oligonucleotides used in cloning are shown in Supplemental Table 5 . Cell culture and transfections Human 501mel, SK-MEL-28 and A375 melanoma cells were cultured in a humidified incubator in 5% CO 2 at 37°C in RPMI 1640 (Merck) supplemented with 10% foetal bovine serum (FBS; Gibco). For siRNA mediated knockdown ( MITF, MYC and DANCR ), approximately 1 ×10 5 human melanoma cells were seeded in a 6-well plate. The next day, cells were transiently transfected using Lipofectamine 2000 (Invitrogen) as per the manufacturer’s instructions using 100pmol of siRNA per well (siRNA sequences in Supplemental Table 5) . Cells were harvested for downstream analysis 3 days after transfection. For CRIPSRi mediated DANCR knockdown, roughly 1 ×10 5 human melanoma cells were seeded in 6-well plate. The next day, 2μg plasmid DNA was transfected per well using Lipofectamine 2000 as per manufacturer’s guidance. After three days, cells were trypsinised and resuspended in growth medium containing 0.7 μg/ml puromycin. Transfected cells were then seeded in a 6-cm dish, grown for 7 days in the presence of puromycin and harvested as a pool for downstream analysis. RT-qPCR Total RNA was isolated from human melanoma cell lines using the GeneJET RNA purification Kit (ThermoFisher) and from zebrafish embryos using TRIzol (Invitrogen) extraction and Quick-RNA Microprep Kit (Zymo Research) purification as per the manufacturer’s guidelines. RNA samples were reverse transcribed using the QuantiTect Reverse Transcription Kit (Qiagen) and qPCR was performed using Fast SYBR ™ Green and the Step One ™ Plus Real-Time PCR System (Applied Biosystems). Oligonucleotides used are shown in Supplemental Table 5 . Cellular fractionation Cellular fractionation of SK-MEL28 melanoma cells was performed as previously described in ( Coe et al , 2019 ). For biochemical cell fractionation of embryonic zebrafish cells, 30 embryos at 30 hpf were used. Embryos were manually dechorionated, embryo medium removed and collagenase/trypsin EDTA (20mg/ml) was added. Samples were incubated for 15 minutes at 30°C with shaking, then centrifuged at 4°C for 5 mins at 300g. Cells were re-suspended in 200μl of Lysis Buffer (10mM Tris HCl, pH 7.5, 150mM NaCl, 0.15% NP40, 0.5mM protease inhibitor cocktail (Roche) and 100U/ml RNAsin (Promega)) and incubated on ice for 20 mins. Cells were homogenised by passing through a 27G needle and placed on top of a 2.5 volume sucrose cushion. Samples were centrifuged at 4°C for 15 minutes at 20,000g. The cytoplasmic fraction (supernatant) and nuclear fraction (cell pellet) were separated, and RNA extracted for RT-qPCR. Proliferation and Migration Assay For the proliferation assay, 1.5 ×10 4 siRNA or CRISPRi DANCR knockdown melanoma cells were seeded in a 6-well plate in growth medium (supplemented with 0.4 μg/ml of puromycin for the CRISPRi transfection). The total number of cells were counted at Day 0, 3 and 5 for the siRNA knockdown and Day 0, 2 and 4 for CRISPRi experiment using the Countess 3 FL Automated Cell Counter (Invitrogen). For the migration assay, siRNA transfected SK-MEL-28 cells were mitotically inactivated using mitomycin C (Merck) to a final concentration of 4 μg ml −1 . Treated cells were incubated for 3 hours at 5% CO 2 and 37°C. Cell migration was investigated using 2 well culture inserts (Ibidi). These inserts comprise of two wells separated by a thin wall of 0.5mm to generate a gap. Inserts were placed in a 12-well plate and a total of 70μl of cells at a density of 4 × 10 4 were seeded into each side of the chamber. Cells were allowed to attach and were incubated until the next morning. Inserts were carefully removed with sterile tweezers and cells were washed twice with 1X PBS and growth medium was added. Images were taken using the EVOS FL microscope (Invitrogen) at 0hr, 24hr, and 48hr. Migration capacity was measured by calculating the area between the two migrating cell fronts using ImageJ ( Schindelin et al , 2012 ) and the wound healing plugin ( https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/ ). The equation used to calculate percentage gap closure is described below where T0 represents the area calculated at 0 hours and Tx represents the area calculated at either 24 or 48 hours. Ethics statement and zebrafish maintenance This study was performed with approval by the Ethics Committee from the University of Bath and in accordance with the Animals Scientific Procedures Act (ASPA) 1986 under the Home Office Project Licence P87C67227. Adult zebrafish were housed within the University of Bath Fish Facility on a 14hr: 10 hr light: dark cycle and embryos were obtained from natural crosses. Staging of embryos was performed following ( Kimmel et al , 1995 ). Whole Mount Fluorescent in situ hybridisation and immunofluorescence Wild type AB zebrafish were used throughout this work unless stated. Tg(Sox10:Cre)ba74; Tg(hsp70l:loxP-dsRed-loxP –Lyn-Egfp) zebrafish were used for the RNAscope experiments. Upon heat shock of this line, NCCs are labelled with a membrane tethered GFP driven by the Cre-loxP system under the control of the sox10 promoter ( Rodrigues et al , 2012 ; Subkhankulova et al , 2023 ). Embryos were anesthetised and fixed in 4% paraformaldehyde (PFA; Alfa Aesar) at room temperature for 3 hours. PFA was then removed, 100% methanol was added and samples were stored at −20 °C. The RNAscope Multiplex Fluorescent kit V2 (Bio-techne) was used as described in ( Subkhankulova et al , 2023 ). Briefly, methanol was removed and samples were air dried at room temperature for 30 mins. Proteinase Plus was added and incubated at room temperature for varying lengths of time depending upon developmental stage of the embryo. Samples were washed with 0.01% PBS-Tween and incubated overnight with the probes ( mitfa-C1 and dancr-C3 ). Probes were mixed following manufacturer guidelines. Samples were washed with 0.2X SSCT and addition of AMP1-3 was performed following manufacturer instructions. HRPC1 and HRPC3 was added with Opal 650 (1:2500; Akoya) and Opal 520 (1:2500; Akoya) respectively followed by HRP blocker. Washes were performed with 0.2X SSCT in between steps. For immunofluorescence detection of GFP positive NCCs, samples were incubated overnight at 4°C with rabbit anti-GFP primary antibody in blocking solution (1:750; Invitrogen). Blocking solution consisted of 5% goat serum (Vector Laboratories) and 1% DMSO (Sigma-Aldrich) in 0.1% PBS-Tween. Samples were rinsed with 0.1% PBS-Tween and incubated for 3 hours at room temperature with the goat anti-Rabbit Alexa Fluor488 (1:1000; Invitrogen) secondary antibody. Samples were washed with 0.1% PBS-Tween and DAPI (2mg/ml) diluted in blocking solution (1:1000; Roche) was added. Samples were stored in 0.1% PBS-Tween at 4°C and mounted in 50% glycerol/PBS. Images were acquired using the Zeiss LSM880 Confocal Microscope (Zeiss) with either a 20X objective or a 63X oil objective. Generation of F0 crispant zebrafish embryos For generation of F0 crispants, a multiple guide CRISPR/Cas9 strategy was employed ( Kroll et al , 2021 ; Wu et al , 2018 ). Briefly, four CRISPR RNAs (crRNAs) were designed using predicted on-target and off-target scores provided by CRISPR-Cas9 guide RNA (gRNA) design checker (Integrated Design Technologies) and CHOPCHOP algorithms ( Labun et al , 2019 ). Equimolar concentration of each individual crRNA and tracrRNA were combined, diluted to 61μM using Nuclease Duplex Buffer (Integrated DNA Technologies) and heated to 95°C for 5 mins before being cooled on ice for 2 mins. Mock injection mixtures lacked the dancr targeting crRNA. Individual gRNAs and Alt-R S.p. Cas9 Nuclease V3 (Integrated DNA Technologies) were combined to a 1:1 ratio and heated to 37°C for 5 mins to form ribonucleoprotein (RNP) complexes. Four RNPs per lncRNA loci were pooled together in equal volumes to a final concentration of 30.5µM. 2nl mixture was injected into the yolk of embryos at the single cell stage. In Vitro synthesis of capped RNA Full length capped RNA for rescue experiments were produced using the mMESSAGE mMACHINE SP6 Transcription Kit (Ambion) as per the manufacturer’s instructions. Plasmids were linearised using NotI (ThermoFisher Scientific) and purified using the Monarch PCR & DNA Cleanup Kit (New England Biolabs) as per manufacturer’s instructions. For the SP6 transcription reaction, 1μg of linearised plasmid was added as per manufacturer’s instructions. TURBO DNase (Ambion) was added to remove any remaining DNA. Synthesised RNA was purified using the MEGAClear Kit (Ambion). Statistics Statistical analysis and production of graphs was performed using R statistical software, version 4.2.3 ( https://www.r-project.org/ ). Data is presented as the mean ± standard error. The normality of the data was assessed by the Shapiro-Wilks test. For statistical analysis, either a two-tailed two sample t-test was performed or a one-way ANOVA followed by post-hoc Tukey’s test. The type of statistical analysis performed is indicated, where applicable, in each figure. For all analyses, p<0.05 was deemed as significant. Data deposition RNA-seq data generated in this study has been deposited in the NCBI GEO database ( https://www.ncbi.nlm.nih.gov/geo/ ) under the accession numbers GSE292491 and GSE____. SUPPORTING INFORMATION LEGENDS Figures Supplemental Figure 1: siRNA mediated depletion of DANCR does not affect expression of the embedded SNORA26 gene. (A) DANCR was depleted in A375 cells using two independent siRNAs. Three days later DANCR and SNORA26 expression were determined using RT-qPCR. POLII was used as a reference gene. Results are presented as mean +/− SEM., n=3. Two-tailed two sample t-test p<0.05. Individual dots represent separate biological replicates. Supplemental Figure 2: DANCR promotes A375 human melanoma cell proliferation and migration. DANCR expression was silenced in A375 cells by dCas9-KRAB mediated CRISPRi using two independent sgRNAs targeting the DANCR promoter. Three days later DANCR levels were measured using RT-qPCR and proliferation (A, B) or wound healing (C, D, E) assays set up. Expression changes are shown relative to a non-targeting control sgRNA (set at 1). POLII was used as a reference gene. For proliferation analysis, cells were seeded in a 6-well plate and the total number of cells were counted at days 0, 2 and 4 (B). For wound healing assays, cells were first treated with mitomycin-C to block cell proliferation and migration was then determined using Ibidi chambers (Culture-Inserts 2 Well). The gap was imaged at 0, 24 and 48 hours and percentage gap closure calculated using the ImageJ Wound Healing plugin (D, E). Statistical analysis was performed at the 48-hour time point. All results presented as mean +/− SEM., n≥2. Two-tailed two sample t-test p<0.05*, p<0.01**, p<0.001***, p<0.0001****. Individual dots represent separate biological replicates. Supplemental Figure 3: PCR and Sanger sequencing validation of dancr promoter deletion in F0 dancr crispants. (A) UCSC genome browser view displaying the zebrafish dancr locus (GRCz10/danRer10). The location of the sgRNAs used to guide CRISPR/Cas9 mediated deletion of the dancr promoter and PCR primers flanking the targeted deletion site for screening are shown. Alignment of representative PCR product sequences indicate the position of the dancr promoter deletions. (B) PCR amplification of the genomic region flanking the proposed dancr promoter deletion was performed using genomic DNA extracted from individual dancr crispant, uninjected and mock control embryos at 24 hpf. A negative control containing water instead of genomic DNA was also used. PCR products were analysed by agarose gel electrophoresis. An expected band of 725bp corresponding to wild type sequence was amplified in the uninjected and mock control embryos. Multiple bands of varying sizes, due to the mosaic deletions caused by multiple sgRNAs targeting the dancr promoter, were generated in the F0 dancr crispant embryos. Tables Supplemental Table 1: 2,796 syntenic human lncRNAs that have a positionally equivalent transcript in zebrafish Supplemental Table 2: 506 syntenic lncRNAs that contain a MITF ChIP-seq binding site in humans Supplemental Table 3: DANCR regulated genes in SK-MEL-28 cells Supplemental Table 4: Dancr promoter deletion in zebrafish leads to significant changes in 164 genes Supplemental Table 5: Sequence of oligonucleotides used in this study. ACKNOWLEDGEMENTS This project has been funded by a Biotechnology and Biological Sciences Research Council (BBSRC) Southwest Biosciences Doctoral Training Partnership PhD studentship (KWV, RNK, SMEJ) and a BBSRC grant awarded to KWV (BB/N005856/1; KWV, MS). We thank Dr Karen Camargo Sosa for help with zebrafish work, University of Bath Final Year Undergraduate Project and MSc students for help with the proliferation assays and Prof Adele Murrell for critically reading the manuscript. Footnotes https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE292491 REFERENCES ↵ Aramillo Irizar P , Schauble S , Esser D , Groth M , Frahm C , Priebe S , Baumgart M , Hartmann N , Marthandan S , Menzel U , Muller J , Schmidt S , Ast V , Caliebe A , Konig R , Krawczak M , Ristow M , Schuster S , Cellerino A , Diekmann S et al. ( 2018 ) Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly . Nature communications 9 : 327 OpenUrl CrossRef PubMed ↵ Cancer Genome Atlas N ( 2015 ) Genomic Classification of Cutaneous Melanoma . Cell 161 : 1681 – 96 OpenUrl CrossRef PubMed ↵ Coe EA , Tan JY , Shapiro M , Louphrasitthiphol P , Bassett AR , Marques AC , Goding CR , Vance KW ( 2019 ) The MITF-SOX10 regulated long non-coding RNA DIRC3 is a melanoma tumour suppressor . PLosGenetics 15 : e1008501 OpenUrl ↵ Dasgupta S , LaDu JK , Garcia GR , Li S , Tomono-Duval K , Rericha Y , Huang L , Tanguay RL ( 2023 ) A CRISPR-Cas9 mutation in sox9b long intergenic noncoding RNA (slincR) affects zebrafish development, behavior, and regeneration . Toxicol Sci 194 : 153 – 166 OpenUrl CrossRef PubMed ↵ Gambi G , Mengus G , Davidson G , Demesmaeker E , Cuomo A , Bonaldi T , Katopodi V , Malouf GG , Leucci E , Davidson I ( 2022 ) The LncRNA LENOX Interacts with RAP2C to Regulate Metabolism and Promote Resistance to MAPK Inhibition in Melanoma . Cancer research 82 : 4555 – 4570 OpenUrl CrossRef PubMed ↵ Gan X , Ding D , Wang M , Yang Y , Sun D , Li W , Ding W , Yang F , Zhou W , Yuan S ( 2022 ) DANCR deletion retards the initiation and progression of hepatocellular carcinoma based on gene knockout and patient-derived xenograft in situ hepatoma mice model . Cancer Lett 550 : 215930 OpenUrl CrossRef PubMed ↵ Goding CR , Arnheiter H ( 2019 ) MITF-the first 25 years . Genes & development 33 : 983 – 1007 OpenUrl Abstract / FREE Full Text ↵ Goudarzi M , Berg K , Pieper LM , Schier AF ( 2019 ) Individual long non-coding RNAs have no overt functions in zebrafish embryogenesis, viability and fertility . eLife 8 ↵ Grote P , Wittler L , Hendrix D , Koch F , Wahrisch S , Beisaw A , Macura K , Blass G , Kellis M , Werber M , Herrmann BG ( 2013 ) The tissue-specific lncRNA Fendrr is an essential regulator of heart and body wall development in the mouse . Dev Cell 24 : 206 – 14 OpenUrl CrossRef PubMed Web of Science ↵ Guo CJ , Ma XK , Xing YH , Zheng CC , Xu YF , Shan L , Zhang J , Wang S , Wang Y , Carmichael GG , Yang L , Chen LL ( 2020 ) Distinct Processing of lncRNAs Contributes to Non-conserved Functions in Stem Cells . Cell 181 : 621 – 636 e22 OpenUrl CrossRef PubMed ↵ Hejna M , Moon WM , Cheng J , Kawakami A , Fisher DE , Song JS ( 2019 ) Local genomic features predict the distinct and overlapping binding patterns of the bHLH-Zip family oncoproteins MITF and MYC-MAX . Pigment cell & melanoma research 32 : 500 – 509 OpenUrl CrossRef PubMed ↵ Herrera-Ubeda C , Marin-Barba M , Navas-Perez E , Gravemeyer J , Albuixech-Crespo B , Wheeler GN , Garcia-Fernandez J ( 2019 ) Microsyntenic Clusters Reveal Conservation of lncRNAs in Chordates Despite Absence of Sequence Conservation . Biology (Basel) 8 ↵ Hezroni H , Koppstein D , Schwartz MG , Avrutin A , Bartel DP , Ulitsky I ( 2015 ) Principles of long noncoding RNA evolution derived from direct comparison of transcriptomes in 17 species . Cell reports 11 : 1110 – 22 OpenUrl CrossRef PubMed ↵ Huang W , Xiong T , Zhao Y , Heng J , Han G , Wang P , Zhao Z , Shi M , Li J , Wang J , Wu Y , Liu F , Xi JJ , Wang Y , Zhang QC ( 2024 ) Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human . Nature genetics 56 : 124 – 135 OpenUrl CrossRef PubMed ↵ Huarte M , Guttman M , Feldser D , Garber M , Koziol MJ , Kenzelmann-Broz D , Khalil AM , Zuk O , Amit I , Rabani M , Attardi LD , Regev A , Lander ES , Jacks T , Rinn JL ( 2010 ) A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response . Cell 142 : 409 – 19 OpenUrl CrossRef PubMed Web of Science ↵ Kansler ER , Verma A , Langdon EM , Simon-Vermot T , Yin A , Lee W , Attiyeh M , Elemento O , White RM ( 2017 ) Melanoma genome evolution across species . BMC Genomics 18 : 136 OpenUrl CrossRef PubMed ↵ Kaushik K , Leonard VE , Kv S , Lalwani MK , Jalali S , Patowary A , Joshi A , Scaria V , Sivasubbu S ( 2013 ) Dynamic expression of long non-coding RNAs (lncRNAs) in adult zebrafish . PloS one 8 : e83616 OpenUrl CrossRef PubMed ↵ Kimmel CB , Ballard WW , Kimmel SR , Ullmann B , Schilling TF ( 1995 ) Stages of embryonic development of the zebrafish . Dev Dyn 203 : 253 – 310 OpenUrl CrossRef PubMed Web of Science ↵ Kopp F , Elguindy MM , Yalvac ME , Zhang H , Chen B , Gillett FA , Lee S , Sivakumar S , Yu H , Xie Y , Mishra P , Sahenk Z , Mendell JT ( 2019 ) PUMILIO hyperactivity drives premature aging of Norad-deficient mice . eLife 8 ↵ Kretz M , Webster DE , Flockhart RJ , Lee CS , Zehnder A , Lopez-Pajares V , Qu K , Zheng GX , Chow J , Kim GE , Rinn JL , Chang HY , Siprashvili Z , Khavari PA ( 2012 ) Suppression of progenitor differentiation requires the long noncoding RNA ANCR . Genes & development 26 : 338 – 43 OpenUrl Abstract / FREE Full Text ↵ Kroll F , Powell GT , Ghosh M , Gestri G , Antinucci P , Hearn TJ , Tunbak H , Lim S , Dennis HW , Fernandez JM , Whitmore D , Dreosti E , Wilson SW , Hoffman EJ , Rihel J ( 2021 ) A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes . eLife 10 ↵ Labun K , Montague TG , Krause M , Torres Cleuren YN , Tjeldnes H , Valen E ( 2019 ) CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing . Nucleic Acids Res 47 : W171 – W174 OpenUrl CrossRef PubMed ↵ Lee S , Kopp F , Chang TC , Sataluri A , Chen B , Sivakumar S , Yu H , Xie Y , Mendell JT ( 2016 ) Noncoding RNA NORAD Regulates Genomic Stability by Sequestering PUMILIO Proteins . Cell 164 : 69 – 80 OpenUrl CrossRef PubMed ↵ Leucci E , Vendramin R , Spinazzi M , Laurette P , Fiers M , Wouters J , Radaelli E , Eyckerman S , Leonelli C , Vanderheyden K , Rogiers A , Hermans E , Baatsen P , Aerts S , Amant F , Van Aelst S , van den Oord J , de Strooper B , Davidson I , Lafontaine DL et al. ( 2016 ) Melanoma addiction to the long non-coding RNA SAMMSON . Nature 531 : 518 – 22 OpenUrl CrossRef PubMed ↵ Liu SJ , Horlbeck MA , Cho SW , Birk HS , Malatesta M , He D , Attenello FJ , Villalta JE , Cho MY , Chen Y , Mandegar MA , Olvera MP , Gilbert LA , Conklin BR , Chang HY , Weissman JS , Lim DA ( 2017 ) CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells . Science 355 ↵ Liu Y , Cao Z , Wang Y , Guo Y , Xu P , Yuan P , Liu Z , He Y , Wei W ( 2018 ) Genome-wide screening for functional long noncoding RNAs in human cells by Cas9 targeting of splice sites . Nat Biotechnol ↵ Lu Y , Hu Z , Mangala LS , Stine ZE , Hu X , Jiang D , Xiang Y , Zhang Y , Pradeep S , Rodriguez-Aguayo C , Lopez-Berestein G , DeMarzo AM , Sood AK , Zhang L , Dang CV ( 2018 ) MYC Targeted Long Noncoding RNA DANCR Promotes Cancer in Part by Reducing p21 Levels . Cancer research 78 : 64 – 74 OpenUrl Abstract / FREE Full Text ↵ Luan W , Ding Y , Yuan H , Ma S , Ruan H , Wang J , Lu F , Bu X ( 2020 ) Long non-coding RNA LINC00520 promotes the proliferation and metastasis of malignant melanoma by inducing the miR-125b-5p/EIF5A2 axis . J Exp Clin Cancer Res 39 : 96 OpenUrl CrossRef PubMed ↵ Marahrens Y , Panning B , Dausman J , Strauss W , Jaenisch R ( 1997 ) Xist-deficient mice are defective in dosage compensation but not spermatogenesis . Genes & development 11 : 156 – 66 OpenUrl Abstract / FREE Full Text ↵ Mattick JS , Amaral PP , Carninci P , Carpenter S , Chang HY , Chen LL , Chen R , Dean C , Dinger ME , Fitzgerald KA , Gingeras TR , Guttman M , Hirose T , Huarte M , Johnson R , Kanduri C , Kapranov P , Lawrence JB , Lee JT , Mendell JT et al. ( 2023 ) Long non-coding RNAs: definitions, functions, challenges and recommendations . Nat Rev Mol Cell Biol 24 : 430 – 447 OpenUrl CrossRef PubMed ↵ Melixetian M , Bossi D , Mihailovich M , Punzi S , Barozzi I , Marocchi F , Cuomo A , Bonaldi T , Testa G , Marine JC , Leucci E , Minucci S , Pelicci PG , Lanfrancone L ( 2021 ) Long non-coding RNA TINCR suppresses metastatic melanoma dissemination by preventing ATF4 translation . EMBO Rep 22 : e50852 OpenUrl CrossRef PubMed ↵ Mitra R , Adams CM , Eischen CM ( 2022 ) Systematic lncRNA mapping to genome-wide co-essential modules uncovers cancer dependency on uncharacterized lncRNAs . eLife 11 ↵ Monziani A , Ulitsky I ( 2023 ) Noncoding snoRNA host genes are a distinct subclass of long noncoding RNAs . Trends Genet 39 : 908 – 923 OpenUrl CrossRef PubMed ↵ Mullins MC , Hammerschmidt M , Kane DA , Odenthal J , Brand M , van Eeden FJ , Furutani-Seiki M , Granato M , Haffter P , Heisenberg CP , Jiang YJ , Kelsh RN , Nusslein-Volhard C ( 1996 ) Genes establishing dorsoventral pattern formation in the zebrafish embryo: the ventral specifying genes . Development 123 : 81 – 93 OpenUrl Abstract / FREE Full Text ↵ Munschauer M , Nguyen CT , Sirokman K , Hartigan CR , Hogstrom L , Engreitz JM , Ulirsch JC , Fulco CP , Subramanian V , Chen J , Schenone M , Guttman M , Carr SA , Lander ES ( 2018 ) The NORAD lncRNA assembles a topoisomerase complex critical for genome stability . Nature 561 : 132 – 136 OpenUrl CrossRef PubMed ↵ Pavlaki I , Alammari F , Sun B , Clark N , Sirey T , Lee S , Woodcock DJ , Ponting CP , Szele FG , Vance KW ( 2018 ) The long non-coding RNA Paupar promotes KAP1-dependent chromatin changes and regulates olfactory bulb neurogenesis . The EMBO journal 37 : e98219 OpenUrl Abstract / FREE Full Text ↵ Pavlaki I , Shapiro M , Pisignano G , Jones SME , Telenius J , Munoz-Descalzo S , Williams RJ , Hughes JR , Vance KW ( 2022 ) Chromatin interaction maps identify Wnt responsive cis-regulatory elements coordinating Paupar-Pax6 expression in neuronal cells . PLoS genetics 18 : e1010230 OpenUrl CrossRef ↵ Ponjavic J , Ponting CP , Lunter G ( 2007 ) Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs . Genome research 17 : 556 – 65 OpenUrl Abstract / FREE Full Text ↵ Ponting CP , Haerty W ( 2022 ) Genome-Wide Analysis of Human Long Noncoding RNAs: A Provocative Review . Annu Rev Genomics Hum Genet 23 : 153 – 172 OpenUrl CrossRef PubMed ↵ Rambow F , Marine JC , Goding CR ( 2019 ) Melanoma plasticity and phenotypic diversity: therapeutic barriers and opportunities . Genes & development 33 : 1295 – 1318 OpenUrl Abstract / FREE Full Text ↵ Rocha M , Singh N , Ahsan K , Beiriger A , Prince VE ( 2020 ) Neural crest development: insights from the zebrafish . Dev Dyn 249 : 88 – 111 OpenUrl CrossRef PubMed ↵ Rodrigues FS , Doughton G , Yang B , Kelsh RN ( 2012 ) A novel transgenic line using the Cre-lox system to allow permanent lineage-labeling of the zebrafish neural crest . Genesis 50 : 750 – 7 OpenUrl CrossRef PubMed Web of Science ↵ Schindelin J , Arganda-Carreras I , Frise E , Kaynig V , Longair M , Pietzsch T , Preibisch S , Rueden C , Saalfeld S , Schmid B , Tinevez JY , White DJ , Hartenstein V , Eliceiri K , Tomancak P , Cardona A ( 2012 ) Fiji: an open-source platform for biological-image analysis . Nat Methods 9 : 676 – 82 OpenUrl CrossRef PubMed Web of Science ↵ Schmidt K , Joyce CE , Buquicchio F , Brown A , Ritz J , Distel RJ , Yoon CH , Novina CD ( 2016 ) The lncRNA SLNCR1 Mediates Melanoma Invasion through a Conserved SRA1-like Region . Cell reports 15 : 2025 – 2037 OpenUrl CrossRef PubMed ↵ Schuler A , Ghanbarian AT , Hurst LD ( 2014 ) Purifying selection on splice-related motifs, not expression level nor RNA folding, explains nearly all constraint on human lincRNAs . Mol Biol Evol 31 : 3164 – 83 OpenUrl CrossRef PubMed Web of Science ↵ Scott MS , Ono M ( 2011 ) From snoRNA to miRNA: Dual function regulatory non-coding RNAs . Biochimie 93 : 1987 – 92 OpenUrl CrossRef PubMed Web of Science ↵ Stanicek L , Lozano-Vidal N , Bink DI , Hooglugt A , Yao W , Wittig I , van Rijssel J , van Buul JD , van Bergen A , Klems A , Ramms AS , Le Noble F , Hofmann P , Szulcek R , Wang S , Offermanns S , Ercanoglu MS , Kwon HB , Stainier D , Huveneers S et al. ( 2020 ) Long non-coding RNA LASSIE regulates shear stress sensing and endothelial barrier function . Commun Biol 3 : 265 OpenUrl CrossRef PubMed ↵ Subkhankulova T , Camargo Sosa K , Uroshlev LA , Nikaido M , Shriever N , Kasianov AS , Yang X , Rodrigues F , Carney TJ , Bavister G , Schwetlick H , Dawes JHP , Rocco A , Makeev VJ , Kelsh RN ( 2023 ) Zebrafish pigment cells develop directly from persistent highly multipotent progenitors . Nature communications 14 : 1258 OpenUrl CrossRef PubMed ↵ Tichon A , Gil N , Lubelsky Y , Havkin Solomon T , Lemze D , Itzkovitz S , Stern-Ginossar N , Ulitsky I ( 2016 ) A conserved abundant cytoplasmic long noncoding RNA modulates repression by Pumilio proteins in human cells . Nature communications 7 : 12209 OpenUrl CrossRef PubMed ↵ Vance KW , Sansom SN , Lee S , Chalei V , Kong L , Cooper SE , Oliver PL , Ponting CP ( 2014 ) The long non-coding RNA Paupar regulates the expression of both local and distal genes . The EMBO journal 33 : 296 – 311 OpenUrl Abstract / FREE Full Text ↵ Vejnar CE , Abdel Messih M , Takacs CM , Yartseva V , Oikonomou P , Christiano R , Stoeckius M , Lau S , Lee MT , Beaudoin JD , Musaev D , Darwich-Codore H , Walther TC , Tavazoie S , Cifuentes D , Giraldez AJ ( 2019 ) Genome wide analysis of 3’ UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish . Genome research 29 : 1100 – 1114 OpenUrl Abstract / FREE Full Text ↵ Venkatesan AM , Vyas R , Gramann AK , Dresser K , Gujja S , Bhatnagar S , Chhangawala S , Gomes CBF , Xi HS , Lian CG , Houvras Y , Edwards YJK , Deng A , Green M , Ceol CJ ( 2018 ) Ligand-activated BMP signaling inhibits cell differentiation and death to promote melanoma . J Clin Invest 128 : 294 – 308 OpenUrl CrossRef PubMed ↵ Wu RS , Lam , II , Clay H , Duong DN , Deo RC , Coughlin SR ( 2018 ) A Rapid Method for Directed Gene Knockout for Screening in G0 Zebrafish . Dev Cell 46 : 112 – 125 e4 OpenUrl CrossRef PubMed ↵ Xu Y , Xi J , Wang G , Guo Z , Sun Q , Lu C , Ma L , Wu Y , Jia W , Zhu S , Guo X , Bian S , Kang J ( 2021 ) PAUPAR and PAX6 sequentially regulate human embryonic stem cell cortical differentiation . Nucleic Acids Res 49 : 1935 – 1950 OpenUrl CrossRef PubMed ↵ Yan X , Hu Z , Feng Y , Hu X , Yuan J , Zhao SD , Zhang Y , Yang L , Shan W , He Q , Fan L , Kandalaft LE , Tanyi JL , Li C , Yuan CX , Zhang D , Yuan H , Hua K , Lu Y , Katsaros D et al. ( 2015 ) Comprehensive Genomic Characterization of Long Non-coding RNAs across Human Cancers . Cancer cell 28 : 529 – 40 OpenUrl CrossRef PubMed ↵ Yu JE , Ju JA , Musacchio N , Mathias TJ , Vitolo MI ( 2020 ) Long Noncoding RNA DANCR Activates Wnt/beta-Catenin Signaling through MiR-216a Inhibition in Non-Small Cell Lung Cancer . Biomolecules 10 ↵ Yuan SX , Wang J , Yang F , Tao QF , Zhang J , Wang LL , Yang Y , Liu H , Wang ZG , Xu QG , Fan J , Liu L , Sun SH , Zhou WP ( 2016 ) Long noncoding RNA DANCR increases stemness features of hepatocellular carcinoma by derepression of CTNNB1 . Hepatology 63 : 499 – 511 OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted March 23, 2025. Download PDF Supplementary Material Data/Code Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following The positionally conserved lncRNA DANCR is an essential regulator of zebrafish development and a human melanoma oncogene Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share The positionally conserved lncRNA DANCR is an essential regulator of zebrafish development and a human melanoma oncogene Stephanie M.E. Jones , Elizabeth A. Coe , Michael Shapiro , Igor Ulitsky , Robert N. Kelsh , Keith W. Vance bioRxiv 2025.03.21.644561; doi: https://doi.org/10.1101/2025.03.21.644561 Share This Article: Copy Citation Tools The positionally conserved lncRNA DANCR is an essential regulator of zebrafish development and a human melanoma oncogene Stephanie M.E. Jones , Elizabeth A. Coe , Michael Shapiro , Igor Ulitsky , Robert N. Kelsh , Keith W. Vance bioRxiv 2025.03.21.644561; doi: https://doi.org/10.1101/2025.03.21.644561 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Cancer Biology Subject Areas All Articles Animal Behavior and Cognition (7622) Biochemistry (17648) Bioengineering (13871) Bioinformatics (41880) Biophysics (21423) Cancer Biology (18561) Cell Biology (25461) Clinical Trials (138) Developmental Biology (13364) Ecology (19866) Epidemiology (2067) Evolutionary Biology (24290) Genetics (15590) Genomics (22475) Immunology (17713) Microbiology (40328) Molecular Biology (17148) Neuroscience (88473) Paleontology (666) Pathology (2827) Pharmacology and Toxicology (4816) Physiology (7635) Plant Biology (15114) Scientific Communication and Education (2044) Synthetic Biology (4286) Systems Biology (9815) Zoology (2268)
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.