Intro
The transdifferentiation or decidualization of endometrial fibroblasts into epitheloid-like decidual cells is critical in establishing pregnancy in many species. It begins during the secretory phase of the uterine cycle in humans and continues during early pregnancy, ultimately forming the decidual tissue [ 1 ]. The decidual tissue supports the development of the conceptus during early pregnancy, including the development of the placenta, and thus is a primary driver of pregnancy health success [ 2 ]. Initially, perivascular fibroblast cells begin to undergo decidualization as progesterone levels rise during the secretory phase of the menstrual cycle. This transdifferentiation then spreads more broadly in the endometrium during early pregnancy. Human endometrial stromal fibroblast (hESF) decidualization is often studied in vitro using cells isolated from the endometrium of non-pregnant or term placenta of pregnant patients [ 3 ].
Long non-coding RNAs (lncRNAs) commonly refer to RNA transcripts that are greater than 200 nucleotides that do not encode proteins that are produced by RNA pol I, II, or III [ 4 , 5 ]. However, it has more recently been suggested that it would be more useful if lncRNAs were defined as at least 500 nt long and generated mainly by RNA pol II [ 4 ]. Like protein-coding genes, most lncRNA genes have introns and exons and can undergo similar RNA maturation steps. The current release of the Human Genome (Gencode release 45, [ 6 ]) includes 20,424 LncRNA and 19,395 protein-coding genes. The Ensembl Database [ 7 ] classifies lncRNAs into different types with respect to their location and orientation relative to protein-coding genes, including 3′ overlapping ncRNA, antisense, macro lncRNA, non-coding, retained intron, sense intronic, sense overlapping, and long intergenic ncRNA (lincRNA). Like protein-coding genes, Pol II-transcribed lncRNAs are spliced, bearing polyadenylated tails at the 3′-end and 7-methyl guanosine caps at the 5′-end. In contrast, lncRNAs transcribed by other means lack caps and poly-A tails. LncRNAs are believed to be a functionally essential part of the mammalian transcriptome, and their functions are diverse. For example, lncRNAs are known to play roles in many biological processes, such as chromatin modification, transcriptional or translational regulation, scaffolds for proteins, and microRNA “sponges” [ 8 , 9 , 10 , 11 ]. However, the function of most lncRNAs remains to be defined.
Previous findings have demonstrated the potential functions of some select lncRNAs in the endometrium under pathological and physiological conditions. Abnormal expression of some lncRNAs in the endometrium or decidua is associated with fertility or gestational abnormalities such as endometriosis [ 12 , 13 , 14 , 15 ], recurrent implantation failure [ 16 ], and preeclampsia [ 17 ]. Some examples of the potential physiological role of lncRNA’s in hESF decidualization so far include HAND2-AS1 [ 18 ], MALAT1 [ 15 ], ENSG00000230699 (LncSAMD11-1:1, [ 19 ], HK2P1 [ 20 ], TUNAR [ 21 ], LUCAT1 [ 22 ], and LINC00473 [ 23 ]. Many lncRNAs show differential expression in the mouse endometrium during decidualization [ 24 , 25 ]. However, lncRNAs shown to play a functional role in mouse endometrial fibroblast decidualization are few, including Gm7932 [ 24 ], Hand2-os1 [ 25 ], and Dio3os [ 26 ]. This study aimed to determine common lncRNA genes differentially expressed during hESF decidualization in vitro from RNA-seq data from two different models commonly used to study in vitro decidualization. We identified a large number of differentially expressed lncRNA genes during hESF decidualization in vitro and further characterized the expression of nine. Of these, the function of AC027288.3 was assessed and was determined to play a role in hESF decidualization in vitro.
Methods
Human ESF cells were isolated from the term placentae of normal pregnant patients (with the approval of the Institutional Review Board Committee of Southern Illinois University School of Medicine) and cultured using methods described previously [ 27 ]. Some hESF cells used in this study were a generous gift from Asgi Fazleabas (Michigan State University). Briefly, cells were cultured in 10% heat-inactivated charcoal-stripped fetal bovine serum (hicsFBS) (Neuromics, Edina, MN, USA), and once the cells reached ~70% confluence, they were incubated for 24h with media containing 2% hicsFBS. The cells were treated with a cocktail (estradiol, medroxyprogesterone, and cAMP; EPC) in media containing 2% hicsFBS to induce decidualization as described elsewhere [ 27 ]. Other treatments included human recombinant BMP2, estradiol, medroxyprogesterone acetate, and cAMP analog, as described elsewhere [ 27 ].
Human ESF cells isolated from 3 patients (N = 3) were treated with vehicle (VEH; 0.1% ethanol) and EPC for 48 h. Total RNA was isolated using a Direct-zol™ RNA MiniPrep Plus Kit (Zymo Research, Irvine, CA, USA) as directed by the manufacturer using TRIzol™ (ThermoFisher Scientific, Waltham, MA, USA). The RNA samples were sent to Cofactor Genomics (St. Louis, MO, USA) for RNA-seq library construction and sequencing. Total RNA sample quantity and quality were assessed as directed by the manufacturers using Qubit RNA Assay (ThermoFisher Scientific) and Agilent Bioanalyzer RNA (Agilent Technologies, Santa Clara, CA, USA) kits, respectively. Libraries were constructed using a KAPA Stranded mRNA-Seq Kit as suggested by the manufacturer (KAPA Biosystems, Wilmington, MA, USA). Libraries were sequenced as single-end 75 base-pair reads on an Illumina NextSeq500 following the manufacturer’s protocols (Illumina, San Diego, CA, USA). The sequencing files have been submitted to NCBI (Project PRJNA1068120).
The Poly A+ RNA-seq reads were mapped to the Genome Reference Consortium Human Build 38 (GRCh38.p14, Release 45) downloaded from Gencode [ 6 ], using Spliced Transcripts Alignment to a Reference (STAR) [ 28 ]. Transcript read counts were then determined using the software package HTSeq (version 2.0.5) [ 29 ]. Differential gene expression between vehicle- and EPC-treated cells isolated from 3 patients (N = 3) was determined using the Bioconductor package edgeR [ 30 ] as patient-matched samples as recommended in the user’s guide [ 31 ]. The false discovery rate (FDR) of differentially expressed genes (DEGs) was estimated using the Benjamini and Hochberg option, and those with an absolute fold-change (|FC|) ≥ 2 and an FDR < 0.01 were considered to be significantly differentially expressed between the vehicle and EPC-treated groups. To compare our Poly A + RNA-seq data from hESF cells isolated from pregnant patients to those isolated from non-pregnant patients, we also reanalyzed the raw data from previous studies [ 32 , 33 ] (PRJNA368634) in a similar fashion. The data included hESF cells from non-pregnant patients with non-targeting, PGR-targeting, or FOXO1-targeting siRNA prior to treatment with vehicle or EPC for 72 h. Where possible, all RNA-seq data were annotated with HNGC gene symbols from an Ensembl GeneID using Ensembl BioMart [ 7 ]. When this was impossible, the Human ENSEMBL Gene ID converter available at www.biotools.fr (accessed 10 January 2024) was used. Venn diagrams and Volcano plots of -Log 10 (FDR) versus Log 2 (FC) were prepared using GraphBio [ 34 ]. Bigwig files were produced using the BamCoverage function of Deeptools2 [ 35 ] using bins per million normalization (bin size = 20) and displayed on the UCSC Genome Browser [ 36 ].
Total RNA isolation, cDNA preparation, primer validation, and real-time qPCR were carried out as previously described [ 27 ]. The qPCR data were analyzed using the ΔΔCt method (31) using RPLP0 (36B4) as the housekeeping gene as previously used for human endometrial stromal cell decidualization experiments [ 27 , 37 ]. The validated primer sequences are in Table 1 .
After trypsinization, the cells were centrifuged at 100× g for 5 min at 4 °C to obtain a cell pellet. The cells were washed and re-centrifuged thrice with Dulbecco’s PBS (D-PBS). The final pellets of cells were gently resuspended in 0.1 mL hypotonic solution (10 mM Tris-HCl, 15 mM KCl, 1 mM EDTA, 0.5 mM dithiothreitol, pH 7.4) and incubated on ice for 3 min. Then, 100µL of lysis buffer (hypotonic solution containing 0.1% NP-40) was added to the cell suspension, and the mixture was gently mixed and placed on ice for 4 min. The entire lysate was overlaid on top of 0.5 mL of 24% sucrose solution (10 mM Tris-HCl, 15 mM KCl, 24% sucrose, 0.15 mM spermine, 0.5 M spermidine, 0.5 mM dithiothreitol, pH 7.5) and subjected to centrifugation at 6000× g for 10 min at 4 °C. The resulting upper 0.3 mL containing the cytoplasmic fraction was carefully transferred to a new tube, and the nuclear pellets were retained. The nuclear pellets were washed with D- PBS containing 0.1 mM EDTA, followed by centrifugation at 1000× g for 10 min at 4 °C. The nuclear pellet was resuspended in 0.3 mL of nuclear lysis buffer (20 mM HEPES, 0.5 M NaCl, 0.5 mM dithiothreitol and incubated on ice for 30 min. The nuclear and cytoplasmic fractions were used to prepare total RNA as above or subjected to Western blot analysis.
Equal volumes of cytoplasmic and nuclear fractions were subjected to reducing 12% SDS-PAGE and then transferred onto Immobilon-FL membranes (Millipore; Billerica, MA, USA) using methods we described elsewhere [ 38 ]. Western blot analysis was carried out using mouse anti-GAPDH (Sigma-Aldrich Cat# G8795, RRID: AB_1078991, St. Louis, MO, USA) and mouse anti-SNRNP70 IgG (Santa Cruz Biotechnology Cat# sc-390899, RRID: AB_2801569, Santa Cruz, CA, USA) primary antibodies followed by Alexa Fluor 790 goat anti-Mouse IgM (Jackson ImmunoResearch Labs Cat# 115-655-075, RRID: AB_2338943, West Grove, PA, USA) and Alexa Fluor 680 Anti-mouse IgG (Jackson ImmunoResearch Labs Cat# 115-625-205, RRID: AB_2338938) secondary antibodies, respectively. Briefly, after immersion of the membranes in Li-Cor Intercept blocking buffer (Li-Cor) for 2 h, the membranes were incubated with non-immune goat IgG or primary antibodies in 0.5× blocking buffer diluted in PBS containing 0.1% Tween-20 (PBST) for one hour with gentle shaking. After washing three times for 10 min with PBS containing 0.1% Tween-20, the membranes were incubated for one hour with secondary antibody in PBS containing 5% BSA (Cell Signaling, Cat# 9998, Danvers, MA, USA), 0.1% Tween 20, and 0.001% SDS. The membranes were washed three times in PBST and finally with PBS. Finally, membranes were scanned using a Li-Cor Odyssey Infrared scanner (Li-Cor, Lincoln, NE, USA).
Previously published FOXO1 ChIP-seq data (NCBI: PRJNA285913) [ 32 ] were uploaded to the Galaxy web platform at usegalaxy.org to analyze the data [ 39 ]. After removing duplicate reads and the remaining reads passed a quality filter, the clean reads were mapped to the human genome (GRCh38/hg38) using Bowtie2 [ 40 ] with default parameters. Peak calling was performed using MACS2 callpeak [ 41 ] with default parameters. MACS2 bdgcmp was used to subtract the input control background from the FOXO1 ChIP data. After conversion to BigWig files, the data were displayed on the UCSC Genome Browser [ 36 ]. We also downloaded a BED file from the peak-browser webpage (cell type class; uterus; cell type: endometrial stromal cells) of Chip Atlas [ 42 , 43 ]. The following ChIP-seq NCBI accession numbers were visualized on the Integrative Genomics Viewer (IGV) application [ 44 ]: SRX1048946 (FOSL2), SRX1048948 (FOXO1), SRX35033584 (GATA2), SRX5088243 (NCOA2), SRX372174 (NR2F2), SRX1048945 (PGR), and SRX1435941 (ZBTB16) which contain ChIP-seq data on hESF cells undergoing EPC-induced decidualization in vitro [ 32 , 33 , 45 , 46 , 47 , 48 ].
Chromatin preparation, immunoprecipitation, RT-qPCR, and percent input calculations were carried out using methods previously described in detail [ 49 ] using control rabbit IgG (Cell Signaling Technology Cat# 2729, RRID:AB_1031062) and rabbit anti-human FOXO1 (Cell Signaling Technology Cat# 2880, RRID:AB_2106495). For ChIP qPCR primer validation, optimal annealing temperatures and PCR efficiencies were determined, and melt-curve analyses after qPCR verified the presence of single amplicons without primer dimers using diluted input samples. The sequence of the ChIP qPCR primers is in Table 2 .
VSVG pseudotyped lentiviral particles containing shRNA targetting AC027288.3 were prepared, concentrated, titered, and used as previously described [ 50 ]. The AC027288.3 shRNA target sequence used in this study was GCATCTACAATCTGTATTATT, while the non-targeting sequence was CCTAAGGTTAAGTCGCCCTCG. For experiments, cells were plated, transduced with lentivirus, and treated exactly as previously described [ 27 ].
Graphs and statistical analysis of the RT-qPCR results for changes in RNA expression were prepared using Sigmaplot software version 15.X (SPSS Inc., Chicago, IL, USA) as previously described [ 27 ]. For ChIP-PCR results, paired t -tests were used. Statistical significance in the results was noted at the p < 0.05 (a), p < 0.01 (b), p < 0.005 (c), or p < 0.001 (d) levels.
Results
In order to find the identity of new lncRNA genes that may play a role in human endometrial decidualization, we carried out RNA-seq analysis of the transcriptome changes between EPC- (undergoing decidualization) and vehicle-treated (not undergoing decidualization) hESF cells isolated from pregnant patients. We then compared it with our reanalysis of previously published data obtained from hESF cells from non-pregnant patients. The complete listing of data obtained for protein-coding genes for hESF cells from pregnant and non-pregnant patients can be found in Supplemental Tables S1 and S2 , respectively. A volcano plot of RNA-seq analysis of the differential mRNA expression between EPC- and vehicle-treated hESF cells from pregnant patients is shown in Figure 1 A. The number of protein-coding genes that were significantly upregulated and downregulated during the decidualization of the pregnant hESF cells was 560 and 476, respectively. A comparison between RNA-seq analysis results between hESF cells from pregnant and non-pregnant patients is shown in the Venn diagram in Figure 1 B. The number of protein-coding genes significantly upregulated and downregulated during decidualization in common between pregnant and non-pregnant hESF cells during decidualization was 551 and 466, respectively. The complete listing of the protein-coding genes in the different categories of the Venn diagram is in Supplemental Table S3 . The results show that many of the previously published protein-coding genes known to be differentially expressed during hESF decidualization were shared between the two RNA-seq datasets. For example, these genes include those whose expression increases (e.g., FOXO1 , IGFBP1 , PRL , TIMP3 [ 32 ], ATOH8 , LEFTY2 , and FZD4 [ 27 ]) and decreases (e.g., IGFBP5 [ 51 ]) during hESF decidualization.
The complete listing of data obtained for LncRNA genes for hESF cells from pregnant and non-pregnant patients can be found in Supplemental Tables S4 and S5 , respectively. A volcano plot of RNA-seq analysis of the differential lncRNA expression between EPC- (undergoing decidualization) and vehicle-treated (not undergoing decidualization) hESF cells from pregnant patients is shown in Figure 2 A. The number of lncRNA genes that were significantly upregulated and downregulated during decidualization was 161 and 83, respectively. A comparison between RNA-seq analysis results between hESF cells from pregnant and non-pregnant patients is shown in the Venn diagram in Figure 2 B. The number of lncRNA genes significantly upregulated and downregulated in common between pregnant and non-pregnant hESF cells during decidualization was 157 and 80, respectively. The complete list of the LncRNA genes in the Venn diagram is in Supplemental Table S6 . The results show that a couple of the previously published lncRNA genes known to be differentially expressed during hESF decidualization as common upregulated lncRNA genes, including HAND2-AS1 [ 18 ] and LNCSAMD11-1:1 (ENSG00000230699, ENST00000448179) [ 19 ].
From the results, we focused further on nine different random lncRNAs that were similarly differentially expressed in both pregnant and non-pregnant hESF cells undergoing decidualization. For all 9, the Ensembl GeneID and all possible TranscriptIDs and the primary transcript expressed as determined by looking at the RNA-seq data on the UCSC genome browser ( Supplemental Figures S1–S9 ) are summarized in Supplemental Table S7 . To verify the differential expression of these lncRNAs, we carried out RT-qPCR on cells incubated with vehicle or EPC for 1, 2, or 3 days. For lncRNAs AC027288.3 , AC023154.1 , AC108861.1 , BASP1-AS1 , LINC02432 , LINC02593, and LINC02600 expression was significantly greater in EPC-treated cells compared to vehicle-treated cells on each day examined ( Figure 3 A–G). The expression of LINC01605 was significantly greater in vehicle-treated cells compared to EPC-treated cells on each day examined ( Figure 3 H). Finally, AL121578.3 RNA expression was only detected in vehicle-treated cells at 1–3 days ( Figure 3 I).
We validated the fractionation method to isolate nuclear and cytoplasmic lncRNA in cells treated with EPC for 48 h. As shown in Figure 4 A, the cytoplasmic GAPDH and nuclear SNRNP70 protein markers were only detected in the nuclear and cytoplasmic fractions. As shown in Figure 4 B, the known cytoplasmic DANCR and nuclear MALAT plus XIST lncRNA markers [ 52 , 53 , 54 ] were predominantly detected in the cytoplasmic and nuclear fractions, respectively. Additionally, shown in Figure 4 B, AC027288 .3 and LINC02432 were predominantly cytoplasmic, while LINC02593 and BASP1 - AS1 were mainly nuclear. Finally, significant amounts of AC023154 . 1, LINC02600 , and LINC01605 were seen in both the nuclear and cytoplasmic fractions.
Since both the steroids or cAMP analog components of the EPC treatment to induce decidualization in this study could be upstream regulators of lncRNA expression, we determined the effects of vehicle, steroids (estradiol plus progesterone), cAMP analog, and EPC on the expression of the nine lncRNA genes. For AC027288.3 , both steroids ( p < 0.01) and cAMP ( p < 0.001) caused significant 3.4- and 9.5-fold increases in expression ( Figure 5 A) compared to vehicle-treated cells, respectively. Incubation of cells with cAMP analog but not steroids caused a significant increase in the expression of AC108861.3 , LINC02432, AC023154.1 , BASP1-AS1, and LINC02600 compared to vehicle-treated cells ( Figure 5 B–F). However, in the presence of cAMP analog, steroids caused a significant increase in the expression of all five lncRNAs., indicating a cAMP-dependent effect of the steroids. The expression of LINC02593 significantly ( p < 0.001) increased in responses to cAMP analog compared to vehicle-treated cells ( Figure 5 G), while steroids had no effect. Both steroids and cAMP caused significant decreases in LINC01605 and AL121578.3 expression compared to vehicle-treated cells, with the effect of the cAMP analog being much more pronounced for LINC01605 ( Figure 5 H–I).
PGR and FOXO1 are critical transcription factors that play vital roles in hESF decidualization [ 37 , 55 ]. Since little is known about what controls the differential expression of the lncRNA genes, we reanalyzed previously published RNA-seq data where cells were incubated with non-targeting (siNT) and transcription factor targeting (siPGR and siFOXO1) siRNAs for two days, followed by EPC for three days [ 32 , 33 ]. The result of the analysis for targeting PGR expression ( Supplemental Table S8 ) is summarized in the volcano plot in Figure 6 A. Differential expression was compared to the consensus differentially expressed genes in pregnant relative and non-pregnant hESF cells undergoing decidualization ( Supplemental Table S6 ). As shown in the Venn diagram in Figure 6 B (see Supplemental Table S9 for gene lists), the expression of 22 genes that increased during decidualization was downregulated with siPGR treatment. On the other hand, the expression of 20 genes that decreased during decidualization was downregulated with siPGR treatment. Six of these 42 PGR-regulated genes include AC027288.3 , AC108861.1 , BASP1-AS1 , LINC02593 , AL121578.3 and LINC01605 . The result of the analysis for targetting FOXO1 expression ( Supplemental Table S10 ) is summarized in the volcano plot in Figure 7 A. Differential expression in response to targetting FOXO1 expression was compared to the consensus differentially expressed genes in pregnant and non-pregnant hESF cells undergoing decidualization ( Supplemental Table S6 ). As shown in the Venn diagram in Figure 7 B (see Supplemental Table S11 for gene lists), the expression of 3 genes that increased during decidualization was downregulated with siFOXO1 treatment. On the other hand, the expression of none of the genes that decreased during decidualization was upregulated with siFOXO1 treatment. Interestingly, one of these FOXO1-regulated genes included AC027288.3 . Therefore, the AC027288.3 expression appears to be regulated by both PGR and FOXO1 during EPC-induced decidualization of hESF cells in vitro.
Several transcription factors such as FOSL2, FOXO1, GATA2, NR2F2, NCOA2, PGR, and ZBTB16 are known to play critical roles in non-pregnant hESF cells undergoing decidualization based on several cistrome studies [ 32 , 33 , 45 , 46 , 47 , 48 ]. As shown in Figure 8 A, there appears to be a cluster of binding sites for FOSL2, FOXO1, GATA2, NR2F2, and PGR in the first intron near the first exon of AC027288.3 (ENST00000550268.2) during hESF decidualization. A further downstream cluster within the same intron includes binding regions for the same transcription factors ( Supplemental Figure S10 ). Focusing on the first cluster, we designed ChIP PCR primers for the two putative FOXO1 binding regions (FBR1 and FBR2) and a control (CON) region ~ 3 kb downstream from FBR2 ( Figure 8 B) to confirm FOXO1 binding in our hESF cells isolated from pregnant patients. As a positive control, we confirmed the enrichment of the binding of FOXO1 in our cells to a well-known region near the IGFBP1 gene ( Figure 8 C), as previously published [ 32 ]. We were also able to confirm the enrichment of binding of FOXO1 in our cells to FBR1 and FBR2 of the first intronic region of AC027288.3 , but not at a control region ~3 kb upstream of FBR2 ( Figure 8 D).
Above, we showed that the combination of estradiol plus progesterone causes an increase in AC027288.3 expression ( Figure 5 A). Given that there are PGR binding sites in the first intron of AC027288.3 ( Figure 9 A), we hypothesized that the effect of steroid-induced expression was due to the actions of progesterone and not estradiol. To confirm this, we incubated the cells with the steroids individually and found that induction of AC027288.3 expression is mediated by progesterone alone ( Figure 8 E).
Compared to non-targeting shRNA (shNT) lentivirus, transduction with AC027288.3 -targeting (shAC027288.3) lentivirus caused a significant ( p < 0.01) decrease in AC023288.3 expression both in the absence or presence of EPC ( Figure 9 A). Targetting AC027288.3 expression resulted in significantly lower expression of the classical decidualization markers FOXO1 ( p < 0.001; Figure 9 B) and TIMP3 ( p < 0.05; Figure 9 C) in EPC-treated cells. In addition, targeting AC027288.3 expression resulted in significantly lower mRNA expression of FOXO1 ( p < 0.05) and TIMP3 ( p < 0.01) in vehicle-treated cells. Targeting AC027288.3 expression did not affect PRL mRNA expression ( Figure 9 D). Alternatively, targeting AC027288.3 expression resulted in significantly greater ( p < 0.001) IGFBP1 mRNA expression in EPC-treated cells ( Figure 9 E). A well-known BMP2-WNT:FZD-CTNBB1 pathway is known to control FOXO1 expression during decidualization [ 56 ]. However, targeting AC027288.3 expression caused a significant ( p < 0.001) increase in WNT4 mRNA expression in EPC-treated cells ( Figure 9 F). On the other hand, targeting AC027288.3 expression did not affect BMP2 expression ( Figure 9 G). FZD4 is one of several frizzled receptors likely involved in WNT-mediated control of FOXO1 expression during decidualization [ 56 ]. Targetting AC027288.3 expression resulted in significantly lower expression of FZD4 in vehicle- ( p < 0.01) and EPC-treated ( p < 0.001) cells ( Figure 9 H). Activin is critical in hESF decidualization [ 57 ] and negatively regulated by FST [ 58 ]. Interestingly, targeting AC027288.3 expression caused a significant decrease in INHBB mRNA expression ( Figure 9 I). On the other hand, it significantly ( p < 0.001) prevented the increase in FST expression in the EPC-treated cells ( Figure 9 J).
Discussion
In the present study, we conducted a polyA+ RNA-Seq analysis of hESF cells from pregnant patients undergoing EP-induced decidualization in vitro. We compared this analysis to previously published data from hESF cells from non-pregnant patients under similar conditions. We found 158 and 82 common lncRNA genes whose expression is upregulated and downregulated during EPC-induced decidualization between the pregnant and non-pregnant hESF cell RNA-seq data. These genes included some, but not all, previously identified genes shown by other studies to be differentially expressed and play a function during hESF decidualization. Previously, we found that HAND2 plays a crucial role in hESF decidualization n [ 59 ], which was subsequently confirmed [ 60 ]. The data of our current study confirms a previous finding that the expression of HAND2-AS1 is upregulated during hESF decidualization [ 18 ]. This increased expression has previously been shown to play a role in regulating HAND2 expression [ 18 ]. A second lncRNA identified in this study that increased during hESF decidualization was DANCR . To our knowledge, the function of DANCR in hESF decidualization has not been reported. However, the role of DANCR as a cytoplasmic lncRNA that “sponges” particular microRNAs or interacts with various proteins has been described in other cell types [ 61 , 62 ]. Finally, TUNAR is known to decrease during hESF decidualization in vitro, and overexpressing it can negatively impact decidualization [ 21 ]. Interestingly, TUNAR expression was not detected as common differentially expressed in this study. Notably, one caveat of our analysis is it would not include any non-polyadenylated lncRNAs since the RNA-seq libraries were constructed with poly A+ RNA.
AC027288.3 lncRNA appears to be an upstream regulator of FOXO1 expression during hESF decidualization. FOXO1 is a transcription factor whose expression is commonly used as a decidualization marker and is also known to play a vital role in decidualization [ 32 , 37 , 55 , 63 , 64 , 65 ]. FOXO1 controls the expression of several downstream target genes, such as IFBP1 , PRL , and TIMP3 . Targetting AC027288.3 expression in hESF cells in our current study resulted in a marked downregulation of FOXO1 expression during decidualization. A BMP2-WNT/FZD-CTNBB1 pathway regulates FOXO1 expression during hESF decidualization, and BMP2 also controls FZD4 expression [ 56 ]. In our current study, targeting AC027288.3 expression during hESF decidualization did not influence BMP2 expression but significantly increased WNT4 and decreased FZD4 expression. Therefore, it may play a role in controlling FZD4 expression, which may be why FOXO1 expression decreased by targeting the expression of AC027288.3 . Even though WNT4 expression is increased, the decreased expression of FZD4 with AC027288.3 knockdown may lead to a resulting decrease in the BMP-WNT/FZD-CTNBB1 pathway signaling, which may have led to the decreased FOXO1 expression. Additional studies are needed to evaluate this.
Besides BMPs, activins are another set of TGFβ receptor ligands known to play a role in hESF decidualization. Human ESF cells show increased INHBA expression at the onset of decidualization in vivo and in vitro [ 66 , 67 , 68 ]. Treatment of hESF cells with activins enhances the decidualization of hESF cells in vitro [ 57 ]. Surprisingly, INHBA expression was dramatically reduced during decidualization when AC027288.3 expression was targeted in this study. FST is an inhibitor of activin signaling by binding to the ligand and preventing the binding and activation of their receptors [ 58 ]. Our results indicated FST expression increases during hESF decidualization, and targetting AC027288.3 expression prevented increases in FST expression. Strong evidence suggests that activin-SMAD2/3 signaling is crucial for normal decidualization in mice [ 69 , 70 ]. This is also possible for human decidualization [ 71 ]. The role of AC027288.3 in regulating the activin-SMAD2/3 signaling hESF decidualization needs to be investigated further.
Two major regulators of hESF decidualization are PGR and cAMP [ 71 ]. Further, although progesterone alone can induce decidualization, part of the action of progesterone is to increase cAMP levels in the cells [ 72 ]. Thus, PGR and increased levels of cAMP can individually or synergistically regulate decidualization and play a role in its maintenance. Of the nine lncRNA genes whose expression was examined more closely in this study, steroids alone only slightly influenced the expression of one lncRNA ( AC027288.3 ), which was found to be dependent on the action of progesterone alone. On the other hand, the addition of cAMP influenced the expression of all nine. Of these, five showed a cAMP analog-dependent effect of steroids, the most pronounced being for the expression of AC027288.3 . Further, reanalysis of RNA-seq data revealed that 42 lncRNA genes are differentially expressed during hESF decidualization and likely controlled directly or indirectly by PGR. These results show that, similarly to protein-coding genes, the expression of differentially expressed lncRNA genes during hESF decidualization can involve the actions of both cAMP and progesterone-PGR signaling.
FOXO1 is a significant regulator of hESF decidualization [ 32 , 33 ]. In our current study, we found the expression of three lncRNA genes differentially expressed during hESF decidualization, which are likely controlled directly or indirectly by FOXO1. Indeed, FOXO1 ChIP-seq data from hESF cells undergoing decidualization revealed the binding of FOXO1 to regions of the first intron of AC027288.3 . This FOXO1 binding was confirmed for some of these sites using ChIP-PC. These results seem confusing since the results of this study suggest that FOXO1 and AC027288.3 may be regulating each other’s expression in hESF cells undergoing decidualization. We speculate that this positive feedback might be involved in the commitment towards the decidual cell phenotype. Finally, previously published ChIP-seq data show that other transcription factors may also be involved in directly regulating AC027288.3 expression during decidualization, including PGR, FOSL2, GATA2, and NR2F2. Each of these is also a key regulator of hESF decidualization [ 32 , 33 , 45 , 46 , 47 , 48 ]. Therefore, the differential expression of at least some of the lncRNA genes during hESF decidualization is likely directly orchestrated by the same transcription factors that control protein-coding genes during hESF decidualization.
Besides AC027288.3 , the precise function of the other eight lncRNAs of Table 1 in decidualization remains to be determined. Besides differential expression in other cells/tissues, the biological functions for AC023154.1 , AC108861.1 , AL121578.3 , and LINC02593 lncRNAs do not currently appear in the literature. However, an interesting study reveals that during neuronal differentiation, BASP1-AS1 lncRNA regulates the expression of its adjacent protein-coding gene BASP1 [ 73 ]. Together, BASP1-AS1 RNA and BASP1 protein form a molecular complex that also includes the ubiquitous bHLH protein TCF12 [ 73 ]. The ability of BASP1-AS1 RNA to form a complex with TCF12 is interesting as several bHLH transcription factors play a key role in human endometrial decidualization [ 27 , 59 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 ]. Targetting LINC01605 expression inhibits autophagy and induces apoptosis in Tenon’s capsule fibroblasts [ 84 ]. In addition, LINC01605 RNA may promote aerobic glycolysis, proliferation, migration, and invasion of cancer cells [ 85 , 86 ]. However, the functional role for decreasing expression of LINC01605 during hESF decidualization noted in our study remains to be determined. LINC02432 lncRNA may regulate HK2 and ferroptosis in cancer [ 87 ], which may contribute to the evidence that decidualization involves metabolic reprogramming and an increased reliance on aerobic glycolysis [ 83 , 88 ]. Finally, it appears a bi-directional promotor possibly controls LINC02600 expression as its 5′-end is very close to the 5′-end of the protein-coding gene ADRA2C . The increased expression and function of ADRA2C in decidualization have been studied [ 89 ], but the role of LINC02600 lncRNA in regulating its expression during decidualization remains to be determined.
Collectively, our results provide the identity of several new lncRNA genes that are differentially expressed and may play a role in hESF decidualization. The results of this study further support the hypothesis that one lncRNA, AC027288.3 , may play a role in hESF decidualization by regulating FZD4 and INHBA expression. In addition, our results suggest AC027288.3 expression during hESF decidualization could be regulated using several transcription factors, including PGR, FOXO1, GATA2, NR2F2, and FOSL2. Additional experiments are warranted to determine the precise function and control of the expression of AC027288.3 , and other lncRNAs demonstrated to be differentially expressed during hESF decidualization in this study.
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