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COUP-TFII regulates early bipotential gonad signaling and commitment to ovarian progenitors

Abstract

Background

The absence of expression of the Y-chromosome linked testis-determining gene SRY in early supporting gonadal cells (ESGC) leads bipotential gonads into ovarian development. However, genetic variants in NR2F2, encoding three isoforms of the transcription factor COUP-TFII, represent a novel cause of SRY-negative 46,XX testicular/ovotesticular differences of sex development (T/OT-DSD). Thus, we hypothesized that COUP-TFII is part of the ovarian developmental network. COUP-TFII is known to be expressed in interstitial/mesenchymal cells giving rise to steroidogenic cells in fetal gonads, however its expression and function in ESGCs have yet to be explored.

Results

By differentiating induced pluripotent stem cells into bipotential gonad-like cells in vitro and by analyzing single cell RNA-sequencing datasets of human fetal gonads, we identified that NR2F2 expression is highly upregulated during bipotential gonad development along with markers of bipotential state. NR2F2 expression was detected in early cell populations that precede the steroidogenic cell emergence and that retain a multipotent state in the undifferentiated gonad. The ESGCs differentiating into fetal Sertoli cells lost NR2F2 expression, whereas pre-granulosa cells remained NR2F2-positive. When examining the NR2F2 transcript variants individually, we demonstrated that the canonical isoform A, disrupted by frameshift variants previously reported in 46,XX T/OT-DSD patients, is nearly 1000-fold more highly expressed than other isoforms in bipotential gonad-like cells. To investigate the genetic network under COUP-TFII regulation in human gonadal cell context, we generated a NR2F2 knockout (KO) in the human granulosa-like cell line COV434 and studied NR2F2-KO COV434 cell transcriptome. NR2F2 ablation downregulated markers of ESGC and pre-granulosa cells. NR2F2-KO COV434 cells lost the enrichment for female-supporting gonadal progenitor and acquired gene signatures more similar to gonadal interstitial cells.

Conclusions

Our findings suggest that COUP-TFII has a role in maintaining a multipotent state necessary for commitment to the ovarian development. We propose that COUP-TFII regulates cell fate during gonad development and impairment of its function may disrupt the transcriptional plasticity of ESGCs. During early gonad development, disruption of ESGC plasticity may drive them into commitment to the testicular pathway, as observed in 46,XX OT-DSD patients with NR2F2 haploinsufficiency.

Background

The bipotential gonad is an embryonic tissue harboring multipotent cells with the capacity to adopt either a testicular or an ovarian cell fate. From the end of the 6th week of human gestation, the early supporting gonadal cells (ESGC) expressing the Y-chromosome linked testis-determining gene SRY give rise to fetal Sertoli cells expressing a genetic network that promotes testis development and antagonizes ovary development. Conversely, the SRY-negative ESGCs develop as pre-granulosa cells by repressing testis determination [1]. However, the identification of individuals with an SRY-negative 46,XX karyotype and testicular tissue that produces androgens suggests either upregulation of other testis genes or down regulation of ovarian genes [2]. These rare conditions are classified as 46,XX testicular or ovotesticular differences of sex development (T/OT-DSD) depending on the identification of gonads that resemble testes or the presence of both testicular and ovarian tissue [3]. Although many genetic factors have been found to be involved in testis development, far less is known about genes regulating the formation of an ovary [4, 5].

The translocation of the SRY gene is a common etiology of 46,XX T/OT-DSD [6]; however, our group and others have found that loss-of-function genetic variants in NR2F2, encoding the transcription factor COUP-TFII, represent a novel cause of SRY-negative cases [7,8,9]. We previously described an individual with SRY-negative 46,XX OT-DSD who was born with atypical male external genitalia, cardiac defects, and blepharophimosis-ptosis-epicanthus inversus syndrome (BPES) [7]. The molecular investigation identified a de novo heterozygous 3-Mb deletion at 15q26.2 encompassing the NR2F2 gene. Additionally, heterozygous frameshift variants in the NR2F2 gene were identified in children presenting with SRY-negative 46,XX T/OT-DSD, virilized genitalia, congenital heart disease, and BPES [8,9,10]. The mechanisms responsible for testis development in individuals with NR2F2 genetic variants are yet to be understood.

COUP-TFII participates in the regulation of organogenesis, neuronal development, angiogenesis, cardiovascular development, reproduction, and metabolic processes [11]. Heterozygous pathogenic variants in NR2F2 have been associated with a highly variable syndrome of congenital anomalies, frequently including cardiac defects [9, 12]. During heart and vascular development, COUP-TFII is a major regulator of epithelial to mesenchymal transition and has been implicated in the induction of vein and lymphatic vessel identity and the repression of artery-specific genes [11]. In mice, Nr2f2 expression is detected in the visceral mesoderm and developing heart from embryonic day (e) 8.5 [13]. Homozygous deletion of Nr2f2 is lethal around e10 due to cardiac defects, and two-thirds of the heterozygous Nr2f2 mice die before puberty [14], indicating that COUP-TFII function during cardiovascular development is vital.

COUP-TFII also plays a role in the development of gonadal steroidogenic cells in males and females from different species. Complete knockout of Nr2f2 in male mice at e18.5 and at pre-pubertal stages causes the development of dysfunctional adult Leydig cells [15]. COUP-TFII is a marker of stem cells that give rise to the adult Leydig cell population and regulates Star, Insl3, and Amhr2 gene expression by directly binding to their respective promoter sequences [16, 17]. Thus, COUP-TFII participates in the commitment of the progenitor cells into fully functional steroidogenic adult Leydig cells. In female mice, Nr2f2 heterozygous deletion impairs sex steroid hormone synthesis in the ovary and decidualization in the uterus [18, 19]. Additionally, COUP-TFII has been implicated in Wolffian duct degradation in females [20]. However, these studies reported that both ovary signaling and morphology in mice with Nr2f2 haploinsufficiency are mostly unperturbed, suggesting that COUP-TFII function during gonadal development may differ between humans and mice. Differences in transcript variants expressed by the NR2F2 gene may contribute to divergencies between species. While the murine Nr2f2 gene is transcribed in two mRNA variants, the human NR2F2 expresses four variants (v1–4) from independent transcription start sites selecting alternative exon 1. These human transcript variants are translated into three distinct protein isoforms [11].

NR2F2 gene expression has been used as a marker of gonadal interstitial/mesenchymal progenitor cells [21, 22]. However, NR2F2 expression has been detected in humans and mice prior to supporting and interstitial cell lineage differentiation. Male and female early somatic cells (the progenitors of supporting and interstitial cells) express NR2F2 from 6 weeks of human gestation and e10.5 in mice [5, 23]. We aimed to examine the expression of NR2F2 transcript variants during early gonadal development in humans and to assess the genetic networks regulated by COUP-TFII in a gonadal cell context. Our data associates NR2F2/COUP-TFII activity with the maintenance of the early bipotential gonad state and with the commitment of ESGCs into female gonadal progenitors. Together our data suggest that ovary development is an active process and that COUP-TFII plays a central role in this cellular decision.

Results

NR2F2 expression is detected in progenitor cells of the human bipotential gonad and shifts to a sex-specific pattern during the commitment of supporting cells

To study NR2F2 expression during early gonadal development, we examined single-cell RNA sequencing (scRNA-seq) datasets of somatic cell lineages from male and female human gonads between 6- and 21-weeks gestation [24]. As shown in Fig. 1A, NR2F2-expressing cells were identified in clusters related to the first wave of supporting cells, i.e. early somatic cells (cluster 2a), bipotential early supporting gonad cells (ESGC, cluster 2b), the first wave of pre-granulosa cells (preGC-I, cluster 2c), and early supporting PAX8-expressing cells (cluster 3a). The early somatic cells give rise to the ESGCs, which are bipotential precursors that give rise to the sex-specific supporting cell lineages in the early gonad. The early PAX8-expressing cells are sexually undifferentiated cells at the gonadal–mesonephric interface. We also detected the expected NR2F2 expression in interstitial/mesenchymal cells, with the highest expression levels in gonadal interstitial cells (cluster 4a). GATA2-expressing coelomic epithelial cells (cluster 1a), which are associated with the extragonadal mesonephros, were also enriched for NR2F2 expression. Conversely, the GATA4-expressing coelomic epithelial cells (cluster 1b), which give rise to early somatic cells and bipotent ESGCs, and the fetal Sertoli cells (cluster 2d) demonstrated low levels of NR2F2 expression (Fig. 1A, Additional file 1: Fig. S1).

Fig. 1
figure 1

NR2F2 expression during early human gonadal development and in COV434 and NT2/D1 cell lines. A The expression pattern of NR2F2 projected on the UMAP plot showing cell lineages in the scRNA-seq datasets of male and female somatic cells obtained from human gonads [24]. The color scale represents NR2F2 gene expression levels. Arrows indicate the predicted developmental trajectory of cell lineages based on evidence from the literature. B The monolayer differentiation protocol for human embryonic bipotential gonad described by Knarston et al. [25]. CD RT-qPCR data of gene expression of NR2F2 transcript variants in CRL1502 (female) and PCS_201 (male) iPSCs (C), and of the bipotential gonad markers GATA4, ZFPM2, EMX2, and WT1, and the steroidogenic cell marker STAR (D) during the differentiation protocol. NR2F2 v3 was not detected under these experimental conditions. Data were normalized as a percentage of GAPDH (reference gene) expression. Mean ± SEM (n = 3). E RT-qPCR assay comparing the expression of NR2F2 transcript variants (v1–4) in COV434, NT2/D1, and HepG2 cell lines. Data is represented as a percentage of S8 (reference gene) expression. Mean ± SEM (n = 4). One-Way ANOVA followed by Tukey test (v1, v2, and v4) and t-test (v3). Asterisks indicate statistical significance in relation to COV434 expression. ***p < 0.001, ****p < 0.0001

Using the protocol previously established by Knarston et al. [25] (Fig. 1B), we examined the expression of NR2F2 transcript variants during the differentiation of human female and male induced pluripotent stem cells (iPSC) through primitive streak, mesoderm, and bipotential gonad stages. The NR2F2 transcript v1 was gradually upregulated during the differentiation of female and male iPSCs, presenting a nearly 1000-fold increase in bipotential gonad state at day 9 of culture when comparing to day 0 iPSCs. The NR2F2 v2 and v4 were upregulated, but presented lower fold changes than v1, and the NR2F2 v3 was not detected during the bipotential gonad differentiation in either cell line (Fig. 1C). During this in vitro differentiation, NR2F2 expression was upregulated along with bipotential gonad markers GATA4, ZFPM2, EMX2, and WT1, while the steroidogenic cell marker STAR was not upregulated, as shown for the female iPSCs (Fig. 1D).

The analysis of scRNA-seq datasets of developing human gonads suggested that the differentiation of ESGCs into fetal Sertoli cells occurs in parallel with the loss of NR2F2 expression, while preGC-I still expressed NR2F2 (Fig. 1A). In line with this observation, we found that all NR2F2 transcript variants had higher expression levels in the granulosa-like cell line COV434 compared to the Sertoli-like cell line NT2/D1 and to male hepatocyte HepG2, an extragonadal cell line known to express NR2F2 [26] (Fig. 1E). We detected nearly 1000-fold higher expression of v1, v2, and v4 in COV434 cells than in NT2/D1 cells. The v3 was not detected in the NT2/D1 cell line. The v1, encoding the canonical protein isoform A, showed the highest abundance among the NR2F2 transcript variants in all investigated cell lines (Fig. 1E). This data indicates that COUP-TFII is an important transcription factor in the granulosa-like COV434 cell line.

Generation and validation of a COV434 NR2F2-knockout cell line

To study the transcriptional networks regulated by COUP-TFII in a granulosa-like cell context, we generated COV434 cells with a mutation affecting all NR2F2 transcript variants using CRISPR/Cas9. We used a guide RNA (gRNA) directed toward the 5’ region of exon 2, which is a shared exon among all the NR2F2 transcripts (Additional file 1: Fig. S2, Fig. 2A). After allele isolation and genotype screening by Sanger sequencing of NR2F2 exon 2, we identified a potential wild-type (WT) COV434 clone and a clone with the homozygous mutation c.484delG (NM_021005) at the expected site. This mutation was predicted to generate a frameshift and a premature stop codon in the NR2F2 gene (p.Gln163fs*4, NP_066285) (Fig. 2B). Genotyping array confirmed that genome integrity was maintained [absence of aneuploidies or large copy number variations (> 0.50 Mb)] in these COV434 clones (data not shown). Western blotting and RT-qPCR assays demonstrated the complete loss of COUP-TFII isoform A, possibly caused by nonsense-mediated mRNA decay, and the decrease in expression of the four NR2F2 transcripts in the COV434 clone harboring the mutation c.484delG when compared to the WT clone and the non-transfected (NT) COV434 cells (Fig. 2C, D). As functional validation, we examined the expression of known COUP-TFII direct (HEY2 and E2F1) and indirect (NOTCH1) target genes in endothelial cells [11, 16] using qPCR. HEY2 and E2F1, but not NOTCH1, were downregulated in the NR2F2-KO versus the WT COV434 cell clone (Fig. 2E). We therefore concluded that we had created a homozygous NR2F2-KO COV434 cell line, and moved on to further investigate the role of NR2F2 using this cell line.

Fig. 2
figure 2

Generation and validation of a COV434 cell line carrying a knockout of the NR2F2 gene. A Schematic representation of the human NR2F2 locus on chromosome 15. Four mRNA variants generated by alternative transcription start sites, which encode three protein isoforms, are depicted. Filled boxes indicate coding sequences (CDS), empty boxes indicate untranslated regions and lines represent introns. Arrows indicate transcriptional start sites. The position of the guide RNA (gRNA) targeting exon 2 is indicated. PAM, protospacer adjacent motif. B Genotyping of representative isolated alleles from two selected single-cell clones by Sanger sequencing revealed potential wild-type (WT) and NR2F2-knockout (KO) clones. The KO clone presented the homozygous mutation c.484delG (NM_021005), p.Gln163fs*4 (NP_066285). C Western blotting assays using total protein extracts from NT2/D1, COV434 non-transfected (NT), WT, and NR2F2-KO cell clones. The anti-COUP-TFII used recognizes the human isoform A, expressed by the NR2F2 variant 1. Alpha-tubulin was used as endogenous control. The molecular weight (kDa) is indicated. D, E RT-qPCR assay comparing relative mRNA expression of the four NR2F2 transcript variants (D) and known COUP-TFII regulated genes (E) between WT and NR2F2-KO COV434 cell clones. S8 was used as a reference gene. Values are mean ± SEM (n = 3–4). Student’s t-test with Welch’s correction, *p < 0.05, **p < 0.01, ***p < 0.001

COV434 cells grow as diffuse sheets forming occasional follicle-like structures containing eosinophilic luminal material [27]. No difference in growth pattern or cytomorphology was observed between the WT and the NR2F2-KO COV434 cells when examined by H&E and staining of cytoskeletal proteins (Fig. 3A, B).

Fig. 3
figure 3

Cytomorphology examination of WT and the NR2F2-KO COV434 cells. A Light microscopy images of WT and NR2F2-KO COV434 cell clones stained with H&E. Magnifications of the areas outlined by the dashed boxes are shown on the right panels. B Fluorescence images of cells stained with phalloidin (yellow), DAPI (cyan), and Anti-Alpha-Tubulin (magenta). Merged images are shown

COUP-TFII regulates transcript profiles associated with early bipotent gonadal state and the first wave of pre-granulosa cells

We studied the transcriptomes of WT and NR2F2-KO COV434 cells using RNA sequencing (RNA-seq). Quality control analysis of RNA-seq data identified an outlier sample in the WT group, which is visualized in the principal component analysis (PCA) plot in Additional file 1: Fig. S3A. This sample was excluded in further analysis and a new PCA plot was generated, demonstrating that NR2F2-KO replicates (n = 4) form a distinct cluster from WT replicates (n = 3), which indicates that COUP-TFII deletion in COV434 cells resulted in significant transcriptional variation (Additional file 1: Fig. S3B).

NR2F2-KO cells had a total of 1724 differentially expressed genes (DEGs) when compared to WT COV434 cells. Of these, 1038 DEGs were downregulated (log2FC < − 1) and 686 were upregulated (log2FC > 1) (Fig. 4A). Several DEGs were validated by RT-qPCR (Additional file 1: Fig. S4A, B). Gene markers selected from Guo et al. [23] and Garcia-Alonso et al. [24] to be associated with early somatic cells (LHX9 and VSNL1), bipotent ESGCs (RIMS4), preGC-I (FOXO1, SOX4, and STAT1), supporting PAX8-expressing cells (IGFBP3), gonadal interstitium (DCN), and extragonadal mesonephros (GATA2) were downregulated in the NR2F2-KO COV434 cells (Fig. 4B). Other cell markers of early supporting cells, such as KITLG, SP3, AXIN2, and PAX8 were not differentially expressed (Fig. 4B). Relevant genes for bipotent state or ovary/testicular commitment, such as SOX9, WNT4, NR5A1, and FOXL2 presented low FPM values and were filtered off during differential expression analysis (Additional file 2). To examine the expression of these genes, we compared COV434 WT and NR2F2-KO cell lines by RT-qPCR. SOX9 and WNT4 transcripts were detected in these cells, although not differentially expressed. NR5A1 and FOXL2 expression was not detected by qPCR. We also tested PDGFB, which is associated with gonocyte migration in rodents and Leydig cell differentiation [28], and FST, which is expressed in developing granulosa cells [29]. PDGFB and FST expression levels were respectively up and downregulated in the NR2F2-KO COV434 cells.

Fig. 4
figure 4

Transcriptome analysis of WT and the NR2F2-KO COV434 cells. A Volcano plot representing downregulated (log2FC < − 1) and upregulated (log2FC > 1) differentially expressed genes (DEGs) between NR2F2-KO and WT COV434 cells. Absolute theta > 2 was used as a cutoff. B Heatmap representing gene expression levels of cell markers associated with early gonadal somatic cells, extragonadal mesonephros, and endothelial cells in the RNA-seq of WT and NR2F2-KO COV434 cells. The values of fragments per million mapped fragments (FPM) are expressed relative to the WT mean. C Gene ontology analysis of biological processes for downregulated and upregulated DEGs (NR2F2-KO versus WT COV434 cells). D RT-qPCR assay comparing relative mRNA expression of transcripts related to early gonadal somatic cells (LHX9 and SOX4), testis (SOX9 and PDGFB), and ovary development (WNT4, CTNNB1, and FST) between WT and NR2F2-KO COV434 cell clones. S8 was used as a reference gene. Values are mean ± SEM (n = 3–4). Student’s t-test with Welch’s correction, *p < 0.05, **p < 0.01. Source data for this figure are available in Additional file 2

Gene ontology (GO) analysis for biological processes revealed that the most enriched term for genes downregulated in NR2F2-KO cells was “axon guidance” (Fig. 4C), which is a transcriptional pattern of gonadal supporting PAX8-expressing cells [24]. When considering the upregulated DEGs, the most enriched GO term was “angiogenesis”. Indeed, the expression of the endothelial cell marker VEGFA increased in NR2F2-KO COV434 cells (Fig. 4B) and the upregulated DEGs were enriched in the cluster of perivascular and smooth muscle cells observed in the scRNA-seq datasets of developing human ovary and mesonephros (Additional file 1: Fig. S4C).

Gene expression in NR2F2-KO COV434 cells indicates a loss of early supporting female gonadal fate and adoption of sex non-specific interstitial cell fate

During embryogenesis and organogenesis, COUP-TFII is known to regulate cell stemness and cell lineage commitment [11]. Thus, we assessed the cell type for which the gene signatures of WT and NR2F2-KO COV434 cells are enriched. We used the online platform WebCSEA [30] to compare the unique gene signatures of these cell clones with the gene sets of several cell types from human fetal organ systems. The unique gene signatures of WT and NR2F2-KO cells were determined by selecting the top 100 expressed genes (based on FPM) in each of these cells after excluding the overlapping 378 genes among their 500 top expressed genes, as schematized in Fig. 5A. These overlapping genes are enriched for general biological processes, such as translation and protein folding, and could veil differences between the gene signatures (Additional file 1: Fig. S5). When compared with gene sets for the fetal reproductive system, the WT COV434 cells demonstrated a gene signature most resembling female gonadal epithelial progenitors, which give rise to the pre-granulosa cells (Fig. 5B). Conversely, NR2F2-KO cells lost enrichment of the supporting signalling profile and acquired gene signatures more similar to female and male gonadal interstitial fibroblasts and placental trophoblasts. NR2F2-KO COV434 cells did not acquire a pre-Sertoli transcriptional state. The unique gene signature of NR2F2-KO cells was also enriched in interstitial/stromal cells from other fetal organs (Fig. 5B).

Fig. 5
figure 5

Comparison of the unique gene signatures of WT and the NR2F2-KO COV434 cells to the transcriptome of cell types from fetal organ systems and female fetal gonads. A Venn diagram depicting the adopted strategy to obtain the unique gene signatures for WT and NR2F2-KO COV434 cells from RNA-seq data. FPM, fragments per million mapped fragments. B The unique gene signatures for WT and NR2F2-KO cells were compared with tissue-cell type expression signatures of different human fetal organs using the online platform WebCSEA. Data show the − log10(p-value) generated for each query of the cell-type specificity enrichment analysis. Each dot represents one tissue-cell type characterized by scRNA-seq experiments. The red dashed line indicates the Bonferroni-corrected significance by 1355 tissue-cell types. The grey solid line indicates the nominal significance. C UMAP of cell lineages in the scRNA-seq datasets of developing ovary and mesonephros obtained from human female fetuses [24]. The color scale represents the shared gene signature enrichment for WT and NR2F2-KO COV434 cells. CoelEpi coelomic epithelium, OSE ovarian surface epithelium, preGC pre-granulosa cell, Gi gonadal interstitial, Oi ovarian interstitial, SMC smooth muscle cell. Source data for this figure are available in Additional file 3

To align WT and NR2F2-KO gene signatures to data from human fetal gonads, we used scRNA-seq datasets of developing ovary and mesonephros from human female fetuses [24]. When focused on the gonadal epithelial progenitor cells, the gene signature from WT COV434 cells was enriched in subpopulations of LHX9-expressing coelomic epithelial cells and early supporting cells. We also observed enrichment of mesenchymal cells of the mesonephros (expressing GATA2) and germ cells. However, NR2F2-KO cells lost enrichment of the epithelial progenitor cell lineages and more closely resembled the gene signatures of the interstitial smooth muscle and perivascular cells (Fig. 5C). Indeed, the most expressed gene in the NR2F2-KO unique gene signature was RGS5 (Additional files 2 and 3), which has been previously identified as a smooth muscle cell marker in the developing gonads [23].

Discussion

This is the first study to address the genetic network regulated by NR2F2/COUP-TFII in a supporting gonadal cell context and to investigate NR2F2 expression during human bipotential gonad commitment. By analyzing scRNA-seq datasets of somatic cell lineages from fetal gonads and by differentiating iPSCs into bipotential gonad-like cells in vitro, we demonstrated that the human NR2F2 is highly upregulated during bipotential gonad development, being detected in early somatic cells that precede the steroidogenic cell emergence in the undifferentiated gonad. The generation of the granulosa-like cell COV434 NR2F2-KO suggested that COUP-TFII regulates pathways involved in the early bipotential gonad and the first wave of pre-granulosa cells. The identification of loss-of-function genetic variants in NR2F2 in individuals with SRY-negative 46,XX T/OT-DSD [7,8,9] has suggested that COUP-TFII is a pro-ovary factor during sex development. Altogether, our data corroborate the hypothesis that NR2F2/COUP-TFII is involved in this pro-ovary module and that loss-of-function variants in the NR2F2 gene anticipate the multipotent state disruption of ESGCs. Disruption of ESGC plasticity may drive them into commitment to the testicular pathway even in 46,XX individuals (Fig. 6).

Fig. 6
figure 6

Proposed model for COUP-TFII function during early gonadal development in humans. DSD differences of sex development

Analysis of scRNA-seq datasets revealed that ESGCs expressing the SRY gene, thus differentiating into fetal Sertoli cells, lost NR2F2 expression, which became restricted to interstitial cells after testis differentiation. We also found that NR2F2 transcript abundance is much higher in granulosa-like COV434 cells than in Sertoli-like NT2/D1 cells, supporting this sex-biased expression pattern. Recently, Pierson Smela et al. [31] showed that the transcriptomes of two granulosa-like cell lines, COV434 and KGN, both have modest similarity to the fetal ovary, including the enrichment for NR2F2 expression. This data justified our use of the COV434 cell line to study COUP-TFII function.

We examined the expression of the four NR2F2 transcript variants individually in a human gonadal context. Previous studies showed that the action of the canonical COUP-TFII isoform A could be enhanced or inhibited by the other isoforms in a manner dependent on the genomic context and the cellular type [32,33,34], emphasizing the importance to study all COUP-TFII isoforms. NR2F2 frameshift variants in SRY-negative 46,XX T/OT-DSD patients are predicted to affect the COUP-TFII isoform A only [8, 9]. Indeed, our data suggest that isoform A is the major COUP-TFII isoform expressed during human gonad development since transcript v1, encoding isoform A, is nearly 1000-fold more highly expressed than other NR2F2 variants in bipotential gonad-like cells derived from iPSCs. Additionally, in vitro differentiation of bipotential gonad-like cells demonstrated that NR2F2 is upregulated along with bipotential gonad markers, such as GATA4. COUP-TFII and GATA4 have been shown to physically and functionally cooperate in the regulation of gene expression in murine Leydig cells [35].

RNA-seq analysis of NR2F2-KO COV434 cells has also highlighted additional pathways in which COUP-TFII may act. The most enriched GO term for downregulated genes in these KO cells was “axon guidance”. Interestingly, Stévant et al. [36] found “axon development” as the most enriched term for the upregulated genes in early progenitor cells from male murine gonads. Garcia-Alonso et al. [24] reported that supporting PAX8-expressing cells located at the gonadal–mesonephric interface during gonad development show a transcriptional pattern of axon guidance factors, which is associated with stem cell maintenance and renewal. Indeed, COUP-TFII is an important regulator of cellular fate choice, being implicated in the regulation of the mesenchymal stem cell state by modulating the WNT signaling, RUNX2 activity, as well as Pparg and Sox9 expression [11, 37]. These findings together with our data showing that NR2F2 is expressed in early gonadal cell populations retaining a multipotent state suggest that COUP-TFII may regulate cell stemness and lineage commitment during gonadal development.

The early gonadal somatic cells are multipotent progenitors which can give rise to either supporting (pre-granulosa or fetal Sertoli cells) or interstitial cell lineages [5, 23]. Studies with transgenic Sry reporter mice showed that female ESGCs can activate the Sry promoter in the same time window as male ESGCs [38, 39]. Additionally, human pre-granulosa cells express SOX9 in an early stage of their differentiation [40], which may be associated with the previously reported SF1-mediated upregulation of SOX9 expression in an SRY-independent manner [41]. Indeed, female and male ESGCs display similar transcriptomic programs harboring the expression of factors predicted as pro-testicular, such as NR5A1, WT1, and GATA4, which participate in the activation of SRY expression in XY embryos [1, 28]. However, the pro-testicular signaling pathway might be balanced by a still not fully understood pro-ovarian pathway even in the early population of gonadal uncommitted somatic cells. The mutual neutralization of these antagonistic pathways maintains a multipotent state. SRY activation disrupts this balance, leading to testis development in XY embryos; however, the impaired function of pro-ovarian factors may also disrupt the transcriptional plasticity of ESGCs and instead drive them into commitment to the testicular pathway, leading to Sertoli cell development in XX embryos (Fig. 6). We propose that COUP-TFII is a member of the pro-ovary pathway counteracting testicular commitment in the early somatic cells, being downregulated during SRY activation.

The transient bipotential state of early supporting cells is temporally asymmetric between testis and ovary development. In contrast to fetal Sertoli cells, pre-granulosa cells maintain the expression of stem cell-related genes, remaining in a progenitor-like state for several days [5]. By comparing the unique gene signatures of WT and NR2F2-KO COV434 cells, we demonstrated that NR2F2-KO cells lost the enrichment for female-supporting gonadal progenitor and acquired gene signatures more similar to sex non-specific gonadal interstitial cells, such as smooth muscle and perivascular cells, which is in line with the enrichment of the GO term “angiogenesis” for the upregulated genes in NR2F2-KO cells. Therefore, we propose that COUP-TFII has a role in the maintenance of a multipotent progenitor state in ESGCs and pGC-I, where its role is to repress commitment into supporting cells during the time window in which male and female ESGCs are prone to activate pro-testicular factors. The absence of a pro-testicular context in the COV434 cells may explain why we observed no regulation of genes related to the fetal Sertoli state upon COUP-TFII ablation.

Several studies, mostly in Leydig cells, have shown a competition between COUP-TFII and SF1 for binding to overlapping response elements in the promoter region of genes encoding steroidogenic enzymes [42]. NR2F2 expression is detected during the commitment of gonadal interstitial cells to steroidogenic cells and in fetal Leydig cells; however, it is progressively repressed during adult Leydig cell differentiation, allowing the SF1-mediated upregulation of steroidogenic enzymes [23, 43]. The inverse expression of NR2F2 and steroidogenic genes may reflect the role of COUP-TFII in preserving the progenitor Leydig cell pool by repressing their maturation via antagonizing SF1 [44]. COUP-TFII and SF1 physically interact in mouse Leydig cells and display antagonistic regulation patterns in the promoter of Nr0b1 (DAX1), which also participates in gonadal development [45, 46]. Indeed, COUP-TFII co-binds with different nuclear receptors in specific DNA motifs for cooperation or competition [47]. However, a potential interplay between COUP-TFII and SF1 as a pro-ovary and a pro-testis factor, respectively, during supporting cell commitment is yet to be investigated.

Using scRNA-seq on ovarian and testicular Nr5a1-expressing somatic cells during murine sex determination, Stévant et al. [5, 36] demonstrated that, while a pool of somatic progenitors differentiates into supporting cells, the remaining interstitial progenitors gradually undergo transcriptional changes restricting their competence toward a steroidogenic fate but retaining their multipotent state. These cells, which maintain Nr2f2 expression, can be trans-differentiated into supporting cells [48]. Another open question is if COUP-TFII could also participate in the maintenance of this multipotent state during the early development of interstitial and steroidogenic cells, providing a source of cells still able to shift their differentiation into the supporting lineage.

COV434 is an adult tumor cell line and its genetic background poses a significant limitation in understanding fetal gonadal development. The COV434 cells are negative for the granulosa cell marker FOXL2 and Karnezis et al. [49] recently suggested that the original tumor that originated this cell line has a histologic identity as a small cell carcinoma of the ovary. Other human ovarian cancer cell lines expressing FOXL2, such as KGN, harbor the pathognomonic FOXL2 mutation p.Cys134Trp [50], imposing other limitations to the recapturing of fetal ovarian development. Therefore, a robust human model that recapitulates in vivo ovarian development is urgently required to advance the knowledge regarding the pro-ovary module participating in the early gonadal commitment during human gonad development. Additionally, NR2F2/COUP-TFII and NR2F1/COUP-TFI show a high degree of evolutionary conservation, suggesting redundancy and overlapping functions [11]. This homologous transcription factor is expressed during the early gonadal development in mice and humans, although in a lower abundance than NR2F2 [5, 23]. To date, no genetic variants have been identified in the NR2F1 gene in patients with DSD. Further studies are needed to understand if NR2F1/COUP-TFI plays a role in gonadal development.

Conclusions

In summary our data combined with recent clinical findings suggest that COUP-TFII has a role in maintaining a multipotent state in early supporting gonadal cells, which is necessary for commitment to the ovarian development (Fig. 6). Therefore, we propose that COUP-TFII plays dual roles during gonad development, regulating both the supporting cell fate and interstitial cell differentiation. Further studies are needed to gain insights into the molecular mechanisms leading to development of seminiferous-like tubules in patients with COUP-TFII loss-of-function.

Materials and methods

Cell culture of COV434, NT2/D1, and HepG2 cell lines

The human granulosa-like cell line COV434 (ECACC, #07071909), the human Sertoli-like cell line NT2/D1 (NTERA-2 cl.D1 [NT2/D1]; Banco de Células do Rio de Janeiro, #0303), and the human hepatocyte cell line HepG2 (Banco de Células do Rio de Janeiro, #0103) were cultured in DMEM high glucose (Thermo Fisher Scientific) supplemented with 4 mM l-glutamine, 1.7 g/L sodium bicarbonate, 10% fetal bovine serum, 100 U/mL penicillin-streptomycin, and 0.5 µg/mL amphotericin B. The cell culture medium for NT2/D1 was also supplemented with 1 mM sodium pyruvate. Cells were kept in a humidified incubator at 37 °C with 5% CO2/95% air.

Single guide RNA design and vector construction

To design guide RNAs (gRNA) for the NR2F2 gene, we used the program CRISPOR [51] available online on http://crispor.tefor.net/. sgRNA sequences used are listed in Additional file 1: Table S1. The two strands of the gRNA were annealed and cloned downstream of the human U6 promoter using the BbsI (NEB) restriction site in the plasmid pU6-(BbsI)_CBh-Cas9-T2A-BFP (Addgene). The protocols for gRNA cloning and transformation of competent E. coli were performed as previously described [52]. Sanger sequencing was applied to confirm that the vectors were correctly constructed.

Flow-cytometry sorting and single-cell clone genotyping

COV434 cells were transfected with the plasmid cloned with the gRNA directed toward the 5′ region of exon 2 of the NR2F2 gene using Lipofectamine 3000 (Thermo Fisher Scientific). Blue fluorescence protein (BFP)-positive cells were observed and photographed using a fluorescence microscope (Zeiss) 24 h after transfection. 48 h after transfection, cells were dissociated using Trypsin-EDTA and BFP-positive cells were individually seeded into wells of a 96-well plate for single-cell culture by fluorescence-activated cell sorting (FACS) using BD FACSAria III (BD Biosciences). As described by Zhang et al. [53], single cells were kept on conditioned culture medium (medium from log-phase cells filtered through a 0.22 μm pore size filter supplemented with fresh cell culture medium 1:1). Medium was changed every 2 days. From day 17 after transfection, single cell-derived clones were observed under the phase contrast light microscope. Mycoplasma testing was performed by PCR and all samples tested negative.

Genomic DNA was extracted from cell clones using an in-house method as previously described [54]. PCR amplification of exon 2 of the NR2F2 gene was performed using PCR Master Mix (Promega; primer pair is listed in Additional file 1: Table S1). The amplicon was cloned into the TOPO™ vector using TOPO™ TA Cloning™ Kit (Thermo Fisher Scientific), which was used to transform competent E. coli for Sanger sequencing of individual alleles using Big DyeTM Terminator Cycle Sequencing Ready Reaction Kit in ABI Prism 3130xl Genetic Analyzer (Applied Biosystems) [54]. Genotyping array was performed using Infinium Global Screening Array-24 v3.0 (Illumina) to evaluate genome integrity.

Protein extraction and Western blot

COV434 cell clones and NT2/D1 cells were homogenized in RIPA lysis buffer (50 mM Tris, pH 7.5; 150 mM NaCl, 1% Nonidet P-40; 0.5% sodium deoxycholate; 1 mM EDTA and 0.1% SDS) supplemented with protease inhibitors (Protease Inhibitor Tablets, Thermo Scientific Pierce™) using Polytron® equipment (KINEMATIC). Western blotting was performed as previously described [55]. Briefly, proteins were blotted onto nitrocellulose membranes, blocked with 3% BSA solution, and incubated with the primary antibodies anti-COUP-TFII (1:1000, Abcam, #41859) and anti-Alpha-tubulin (1:2000, Sigma, #T9026). Membranes were then incubated with the corresponding secondary antibody conjugated to horseradish peroxidase. Blots were developed using the enhanced chemiluminescence (ECL) kit (Bio-Rad).

Real-time quantitative PCR for COV434, NT2/D1, and HepG2 cells

RNA was extracted using RNeasy Plus Kit (QIAGEN). Reverse transcriptase reactions were performed with oligo(dT)18 using the M-MLV Reverse Transcriptase kit (Thermo Fisher Scientific). The cDNA samples were assayed in real-time quantitative PCR (qPCR) using the kit PowerTrack SYBR Green Master Mix (Thermo Fisher Scientific) at the thermocycler ABI PRISM 7500 Sequence Detection System (Applied Biosystems). The primer pairs were designed using the program NCBI/Primer-BLAST [56] and are indicated in Additional file 1: Table S1. The expression of target genes was normalized using the reference gene S8 (ΔCt) and represented as a percentage of S8 (2−ΔCt) or relatively to a control/reference group (2−ΔΔCt) [57].

H&E and fluorescent immunocytochemistry

COV434 cell clones cultured on coverslips were fixed in 4% paraformaldehyde, stained with hematoxylin and eosin (H&E) solution, and mounted on glass slides for histological analysis. Fixed cells were also used for fluorescent immunocytochemistry studies. Cells were incubated with blocking solution (0.1% Triton X-100 and 2% BSA in PBS) for 30 min at room temperature and then overnight at 4 °C in blocking solution containing mouse anti-Alpha-tubulin (1:500, Sigma, #T9026). Next, cells were incubated for 1 h at room temperature with anti-mouse secondary antibody conjugated to Alexa Fluor 594 and then for 1 h at room temperature with Phalloidin-FITC 488 (1:500, Sigma, #49409). DAPI (4,6-diamidino-2-phenylindole) was used for nuclear identification. Negative controls were performed in the absence of primary antibody. Fluorescence images were acquired under a Nikon E800 microscope.

RNA-sequencing and data analysis

RNA was extracted from four replicates of WT and NR2F2-KO COV434 cells using RNeasy Plus Kit (QIAGEN). The RNA quality and quantity were assayed on NanoDrop spectrophotometer and Qubit fluorometer (Thermo Fisher Scientific). RNA libraries were constructed using Zymo-Seq RiboFree Total RNA Library Kit (Zymo Research) following the manufacturer’s protocol. Each library was analyzed on Agilent Bioanalyzer (Agilent Technologies) and by qPCR for quality and quantification assessment and sequenced on NovaSeq 6000 in a flow-cell SP 2×150pb (Illumina).

Quality control with FastQC [58] and MultiQC [59] was done in all samples before alignment, after alignment and after gene counting. Samples were aligned to the human reference by using STAR [60], using Hg38 and GTF v. 103 from the Ensembl [61] project. Genes were counted with Rsubread [62] program and the featurecounts function. Gene counts were normalized using the fragments per million mapped fragments (FPM) function of DeSeq2 [63]. Then, low expression genes were filtered off using Noiseq [64] filter method 3. The differential expression (DE) was done using the NoiseqBio [64] function. DAVID [65, 66] was used to calculate gene ontology enrichment for significantly upregulated (log2FC > 1, absolute theta > 2) and downregulated (log2FC < − 1, absolute theta > 2) genes. The gene signatures of WT and NR2F2-KO COV434 cells were determined by selecting the unique most expressed genes based on FPM values, as schematized in Fig. 5A.

Analysis of single-cell RNA sequencing datasets of human fetal tissues

NR2F2 expression was studied in single-cell RNA sequencing (scRNA-seq) datasets of somatic cell lineages from male and female human gonads between 6- and 21-weeks gestation available online on the Reproductive Cell Atlas (https://www.reproductivecellatlas.org/) [24]. Gene lists representing the gene signatures of WT and NR2F2-KO COV434 cells, and the up and downregulated genes (NR2F2-KO versus WT) were uploaded into the online platforms Reproductive Cell Atlas and WebCSEA (https://bioinfo.uth.edu/webcsea/) [30] for comparison with the gene sets of several cell types from human fetal organ systems. The scRNA-seq data for reproductive organs available in the WebCSEA are from two female fetal gonads (11- and 26-weeks gestation) and two male fetal gonads (11- and 12-weeks gestation) (GEO: Series GSE134355).

Human iPSC culture, monolayer differentiation, and real-time quantitative PCR

The differentiation experiments were performed as previously described [25]. Briefly, the human induced pluripotent stem cell (iPSC) lines CRL1502 (female) (generated by E.J. Wolvetang, The University of Queensland, Australia) and PCS_201 (male) (American Type Culture Collection, USA) were expanded in Essential 8 medium (E8; Thermo Fisher Scientific). One day prior to differentiation, cells were plated at 10,000 cells/cm2 on Vitronectin (STEMCELL Technologies). On day 0, the medium was replaced with Essential 6 medium (E6). Cells were cultured for 4 days with 3 µM CHIR (R&D Systems); 3 days with 200 ng/mL FGF9 (R&D Systems), 1 µg/mL heparin (Sigma-Aldrich), and 10 ng/mL BMP4 (R&D Systems); and 2 days without growth factors. Medium was changed every 2 days. RNA was harvested at days 0, 4, 7, and 9.

The qPCR assays were performed as described by Knarston et al. [25]. Briefly, RNA was extracted using the ReliaPrep RNA Cell Miniprep System (Promega) and cDNA was synthesized using the GoScript reverse transcriptase system (Promega). qRT-PCR was performed with GoTaq qPCR Master Mix (Promega) on the LightCycler480 (Roche). Primer sequences were described previously [25] or can be found in Additional file 1: Table S1. The expression of target genes was represented by normalizing with the expression of the reference gene GAPDH (2−ΔCt) [57].

Statistical analysis

GraphPad Prism software version 8.0 (GraphPad Software Inc.) was used for all statistical analyses. Data were tested for normality with D’Agostino and Pearson tests. For two-group comparisons, the two-tailed Student’s t-test was used with Welch’s correction when applicable. For comparisons between multiple groups, the one-way ANOVA test was followed by a Tukey test. Data were expressed as mean ± SEM. P < 0.05 was considered statistically significant.

Availability of data and materials

The RNA-Seq datasets generated during the current study were submitted to SRA (SUB13718909) on August 9, 2023 under the BioProject PRJNA1003489 (NCBI tracking system #24215611). Single-cell RNA sequencing (scRNA-seq) datasets from human fetal gonads are available online on the Reproductive Cell Atlas (https://www.reproductivecellatlas.org/) [24]. The authors declare that other supporting data are available within the article and in Additional files.

References

  1. Reyes AP, León NY, Frost ER, Harley VR. Genetic control of typical and atypical sex development. Nat Rev Urol. 2023;20:434–51.

    Article  PubMed  Google Scholar 

  2. Syryn H, Van De Vijver K, Cools M. Ovotesticular difference of sex development: genetic background, histological features, and clinical management. Horm Res Paediatr. 2023;96(2):180–9.

    Article  CAS  PubMed  Google Scholar 

  3. Grinspon RP, Rey RA. Molecular characterization of XX maleness. Int J Mol Sci. 2019;20:6089.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Eggers S, Ohnesorg T, Sinclair A. Genetic regulation of mammalian gonad development. Nat Rev Endocrinol. 2014;10:673–83.

    Article  CAS  PubMed  Google Scholar 

  5. Stévant I, Kühne F, Greenfield A, Chaboissier MC, Dermitzakis ET, Nef S. Dissecting cell lineage specification and sex fate determination in gonadal somatic cells using single-cell transcriptomics. Cell Rep. 2019;26(12):3272–83.e3.

    Article  PubMed  Google Scholar 

  6. Berglund A, Johannsen TH, Stochholm K, Aksglaede L, Fedder J, Viuff MH, et al. Incidence, prevalence, diagnostic delay, morbidity, mortality and socioeconomic status in males with 46,XX disorders of sex development: a nationwide study. Hum Reprod. 2017;32(8):1751–60.

    Article  CAS  PubMed  Google Scholar 

  7. Carvalheira G, Malinverni AM, Moysés-Oliveira M, Ueta R, Cardili L, Monteagudo P, et al. The natural history of a man with ovotesticular 46,XX DSD caused by a Novel 3-Mb 15q26.2 deletion containing NR2F2 gene. J Endocr Soc. 2019;3(11):2107–13.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Bashamboo A, Eozenou C, Jorgensen A, Bignon-Topalovic J, Siffroi JP, Hyon C, et al. Loss of function of the nuclear receptor NR2F2, encoding COUP-TF2, causes testis development and cardiac defects in 46,XX children. Am J Hum Genet. 2018;102(3):487–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Ganapathi M, Matsuoka LS, March M, Li D, Brokamp E, Benito-Sanz S, et al. Heterozygous rare variants in NR2F2 cause a recognizable multiple congenital anomaly syndrome with developmental delays. Eur J Hum Genet. 2023;31(10):1117–24.

    Article  CAS  PubMed  Google Scholar 

  10. Lambert S, Peycelon M, Samara-Boustani D, Hyon C, Dumeige L, Peuchmaur M, et al. SRY-negative 46,XX testicular/ovotesticular DSD: long-term outcomes and early blockade of gonadotropic axis. Clin Endocrinol. 2021;94(4):667–76.

    Article  CAS  Google Scholar 

  11. Polvani S, Pepe S, Milani S, Galli A. COUP-TFII in health and disease. Cells. 2020;9:101.

    Article  CAS  Google Scholar 

  12. Al Turki S, Manickaraj AK, Mercer CL, Gerety SS, Hitz MP, Lindsay S, et al. Rare variants in NR2F2 cause congenital heart defects in humans. Am J Hum Genet. 2014;94(4):574–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Pereira FA, Qiu Y, Zhou G, Tsai MJ, Tsai SY. The orphan nuclear receptor COUP-TFII is required for angiogenesis and heart development. Genes Dev. 1999;13(8):1037–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Lin FJ, You LR, Yu CT, Hsu WH, Tsai MJ, Tsai SY. Endocardial cushion morphogenesis and coronary vessel development require chicken ovalbumin upstream promoter-transcription factor II. Arterioscler Thromb Vasc Biol. 2012;32(11):e135–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Qin J, Tsai MJ, Tsai SY. Essential roles of COUP-TFII in Leydig cell differentiation and male fertility. PLoS ONE. 2008;3(9): e3285.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Chen X, Qin J, Cheng CM, Tsai MJ, Tsai SY. COUP-TFII is a major regulator of cell cycle and notch signaling pathways. Mol Endocrinol. 2012;26(8):1268–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. de Mattos K, Viger RS, Tremblay JJ. Transcription factors in the regulation of Leydig cell gene expression and function. Front Endocrinol. 2022;13: 881309.

    Article  Google Scholar 

  18. Takamoto N, Kurihara I, Lee K, DeMayo FJ, Tsai MJ, Tsai SY. Haploinsufficiency of chicken ovalbumin upstream promoter transcription factor II in female reproduction. Mol Endocrinol. 2005;19(9):2299–308.

    Article  CAS  PubMed  Google Scholar 

  19. Petit FG, Jamin SP, Kurihara I, Behringer RR, DeMayo FJ, Tsai MJ, et al. Deletion of the orphan nuclear receptor COUP-TFII in uterus leads to placental deficiency. Proc Natl Acad Sci USA. 2007;104(15):6293–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zhao F, Franco HL, Rodriguez KF, Brown PR, Tsai MJ, Tsai SY, et al. Elimination of the male reproductive tract in the female embryo is promoted by COUP-TFII in mice. Science. 2017;357(6352):717–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Rastetter RH, Bernard P, Palmer JS, Chassot AA, Chen H, Western PS, et al. Marker genes identify three somatic cell types in the fetal mouse ovary. Dev Biol. 2014;394(2):242–52.

    Article  CAS  PubMed  Google Scholar 

  22. Smith P, Wilhelm D, Rodgers RJ. Development of mammalian ovary. J Endocrinol. 2014;221:R145–61.

    Article  CAS  PubMed  Google Scholar 

  23. Guo J, Sosa E, Chitiashvili T, Nie X, Rojas EJ, Oliver E, et al. Single-cell analysis of the developing human testis reveals somatic niche cell specification and fetal germline stem cell establishment. Cell Stem Cell. 2021;28(4):764-778e4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Garcia-Alonso L, Lorenzi V, Mazzeo CI, Alves-Lopes JP, Roberts K, Sancho-Serra C, et al. Single-cell roadmap of human gonadal development. Nature. 2022;607(7919):540–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Knarston IM, Pachernegg S, Robevska G, Ghobrial I, Er PX, Georges E, et al. An in vitro differentiation protocol for human embryonic bipotential gonad and testis cell development. Stem Cell Rep. 2020;15(6):1377–91.

    Article  CAS  Google Scholar 

  26. Erdős E, Bálint BL. COUP-TFII is a modulator of cell-type-specific genetic programs based on genomic localization maps. J Biotechnol. 2019;301:11–7.

    Article  PubMed  Google Scholar 

  27. van den Berg-Bakker CAM, Hagemeijer A, Franken-Postma EM, Smit VTHBM, Kuppen PJK, Claasen HHVR, et al. Establishment and characterization of 7 ovarian carcinoma cell lines and one granulosa tumor cell line: growth features and cytogenetics. Int J Cancer. 1993;53(4):613–20.

    Article  PubMed  Google Scholar 

  28. Mäkelä JA, Koskenniemi JJ, Virtanen HE, Toppari J. Testis development. Endocr Rev. 2019;40:857–905.

    Article  PubMed  Google Scholar 

  29. Yao HHC, Matzuk MM, Jorgez CJ, Menke DB, Page DC, Swain A, et al. Follistatin operates downstream of Wnt4 in mammalian ovary organogenesis. Dev Dyn. 2004;230(2):210–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Dai Y, Hu R, Liu A, Cho KS, Manuel AM, Li X, et al. WebCSEA: web-based cell-type-specific enrichment analysis of genes. Nucleic Acids Res. 2022;50(W1):W782–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Pierson Smela MD, Kramme CC, Fortuna PRJ, Adams JL, Su R, Dong E, et al. Directed differentiation of human iPSCs to functional ovarian granulosa-like cells via transcription factor overexpression. Elife. 2023;12: e83291.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Rosa A, Brivanlou AH. A regulatory circuitry comprised of miR-302 and the transcription factors OCT4 and NR2F2 regulates human embryonic stem cell differentiation. EMBO J. 2011;30(2):237–48.

    Article  CAS  PubMed  Google Scholar 

  33. Yamazaki T, Suehiro J, ichi, Miyazaki H, Minami T, Kodama T, Miyazono K, et al. The COUP-TFII variant lacking a DNA-binding domain inhibits the activation of the Cyp7a1 promoter through physical interaction with COUP-TFII. Biochem J. 2013;452(2):345–57.

    Article  CAS  PubMed  Google Scholar 

  34. Davalos V, Lovell CD, Von Itter R, Dolgalev I, Agrawal P, Baptiste G, et al. An epigenetic switch controls an alternative NR2F2 isoform that unleashes a metastatic program in melanoma. Nat Commun. 2023;14(1):1867.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Mehanovic S, Pierre KJ, Viger RS, Tremblay JJ. Chicken ovalbumin upstream promoter transcription factor type II interacts and functionally cooperates with GATA4 to regulate anti-Müllerian hormone receptor type 2 transcription in mouse MA‐10 Leydig cells. Andrology. 2022;10(7):1411–25.

    Article  CAS  PubMed  Google Scholar 

  36. Stévant I, Neirijnck Y, Borel C, Escoffier J, Smith LB, Antonarakis SE, et al. Deciphering cell lineage specification during male sex determination with single-cell RNA sequencing. Cell Rep. 2018;22(6):1589–99.

    Article  PubMed  Google Scholar 

  37. Xie Y, Wu C, Li Z, Wu Z, Hong L. Early gonadal development and sex determination in mammal. Int J Mol Sci. 2022;23:7500.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Albrecht KH, Eicher EM. Evidence that sry is expressed in pre-sertoli cells and sertoli and granulosa cells have a common precursor. Dev Biol. 2001;240(1):92–107.

    Article  CAS  PubMed  Google Scholar 

  39. Harikae K, Miura K, Shinomura M, Matoba S, Hiramatsu R, Tsunekawa N, et al. Heterogeneity in sexual bipotentiality and plasticity of granulosa cells in developing mouse ovaries. J Cell Sci. 2013;126(13):2834–44.

    CAS  PubMed  Google Scholar 

  40. Li L, Dong J, Yan L, Yong J, Liu X, Hu Y, et al. Single-cell RNA-Seq analysis maps development of human germline cells and gonadal niche interactions. Cell Stem Cell. 2017;20(6):858–73.e4.

    Article  CAS  PubMed  Google Scholar 

  41. Ming Z, Vining B, Bagheri-Fam S, Harley V. SOX9 in organogenesis: shared and unique transcriptional functions. Cell Mol Life Sci. 2022;79(10):522.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Hattori A, Fukami M. Nuclear receptor gene variants underlying disorders/differences of sex development through abnormal testicular development. Biomolecules. 2023;13:691.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. van den Driesche S, Walker M, McKinnell C, Scott HM, Eddie SL, Mitchell RT, et al. Proposed role for COUP-TFII in regulating fetal Leydig cell steroidogenesis, perturbation of which leads to masculinization disorders in rodents. PLoS ONE. 2012;7(5): e37064.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Bhattacharya I, Dey S. Emerging concepts on Leydig cell development in fetal and adult testis. Front Endocrinol. 2023;13:1086276.

    Article  Google Scholar 

  45. Yu RN, Ito M, Jameson JL. The murine Dax-1 promoter is stimulated by SF-1 (steroidogenic factor-1) and inhibited by COUP-TF (chicken ovalbumin upstream promoter-transcription factor) via a composite nuclear receptor-regulatory element. Mol Endocrinol. 1998;12(7):1010–22.

    Article  CAS  PubMed  Google Scholar 

  46. Di-Luoffo M, Pierre KJ, Robert NM, Girard MJ, Tremblay JJ. The nuclear receptors SF1 and COUP-TFII cooperate on the Insl3 promoter in Leydig cells. Reproduction. 2022;164(2):31–40.

    CAS  PubMed  Google Scholar 

  47. Boudot A, le Dily F, Pakdel F. Involvement of COUP-TFs in cancer progression. Cancers. 2011;3:700–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Zhang L, Chen M, Wen Q, Li Y, Wang Y, Wang Y, et al. Reprogramming of Sertoli cells to fetal-like Leydig cells by Wt1 ablation. Proc Natl Acad Sci USA. 2015;112(13):4003–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Karnezis AN, Chen SY, Chow C, Yang W, Hendricks WPD, Ramos P, et al. Re-assigning the histologic identities of COV434 and TOV-112D ovarian cancer cell lines. Gynecol Oncol. 2021;160(2):568–78.

    Article  CAS  PubMed  Google Scholar 

  50. Jamieson S, Butzow R, Andersson N, Alexiadis M, Unkila-Kallio L, Heikinheimo M, et al. The FOXL2 C134W mutation is characteristic of adult granulosa cell tumors of the ovary. Mod Pathol. 2010;23(11):1477–85.

    Article  CAS  PubMed  Google Scholar 

  51. Concordet JP, Haeussler M. CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 2018;46(W1):W242–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc. 2013;8(11):2281–308.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Zhang K, Cong P, Mo D, Chen Y, He Z. Generation and characterisation of a COV434 cell clone carrying a monoallelic FecBBmutation introduced by CRISPR/Cas9. Reprod Fertil Dev. 2020;32(13):1145–55.

    CAS  Google Scholar 

  54. Kizys MML, Cardoso MG, Lindsey SC, Harada MY, Soares FA, Melo MCC, et al. Optimizing nucleic acid extraction from thyroid fine-needle aspiration cells in stained slides, formalin-fixed/paraffin-embedded tissues, and long-term stored blood samples. Arq Bras Endocrinol Metabol. 2012;56(9):618–26.

    Article  PubMed  Google Scholar 

  55. Serrano-Nascimento C, Calil-Silveira J, Dalbosco R, Zorn TT, Nunes MT. Evaluation of hypothalamus–pituitary–thyroid axis function by chronic perchlorate exposure in male rats. Environ Toxicol. 2018;33(2):209–19.

    Article  CAS  PubMed  Google Scholar 

  56. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinform. 2012;13(1): 134.

    Article  CAS  Google Scholar 

  57. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative CT method. Nat Protoc. 2008;3(6):1101–8.

    Article  CAS  PubMed  Google Scholar 

  58. Andrews S, FastQC. A quality control tool for high throughput sequence data. 2010. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed 24 June 2023.

  59. Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21.

    Article  CAS  PubMed  Google Scholar 

  61. Herrero J, Muffato M, Beal K, Fitzgerald S, Gordon L, Pignatelli M, et al. Ensembl comparative genomics resources. Database. 2016;2016: baw053.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Liao Y, Smyth GK, Shi W. The R package rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads. Nucleic Acids Res. 2019;47(8):e47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Love MI, Huber W, Anders S. Moderated estimation of Fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Tarazona S, Furió-Tarí P, Turrà D, Pietro A, Di Nueda MJ, Ferrer A, et al. Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic Acids Res. 2015;43(21): e140.

    PubMed  PubMed Central  Google Scholar 

  65. Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4(1):44–57.

    Article  CAS  PubMed  Google Scholar 

  66. Sherman BT, Hao M, Qiu J, Jiao X, Baseler MW, Lane HC, et al. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 2022;50(W1):W216–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to thank the Laboratory of Molecular and Translational Endocrinology (LEMT/UNIFESP) for their technical support, and Dr. Rui Maciel for laboratory support. We would also like to thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) and the São Paulo Research Foundation (FAPESP) for their financial support, including the sponsorship FAPESP #2022/10804-9 to Marina M. L. Kizys.

Funding

This work was supported by a grant from FAPESP (#2021/00684-3) and a grant from CNPq (#200262/2022-0) to Magnus R. Dias-da-Silva.

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Authors and Affiliations

Authors

Contributions

LGAF: conceptualization; formal analysis; validation; investigation; visualization; methodology; writing—original draft. MMLK: conceptualization; methodology; project administration. GACG: data curation; software; formal analysis; methodology. SP: formal analysis; methodology; supervision; investigation; writing—review and editing. GR: methodology; investigation. AHS: resources; supervision; writing—review and editing. KLA: resources; investigation; supervision; writing—review and editing. MRDS: conceptualization; project administration; supervision; resources; funding acquisition.

Corresponding author

Correspondence to Magnus R. Dias-da-Silva.

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This study was approved by the Research Ethics Committee from Universidade Federal de São Paulo (CEP/UNIFESP #0347/2021).

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Figure S1.

Expression pattern of NR2F2 and FOXL2projected on the UMAP plot showing cell lineages in the scRNA-seq datasets of female (A) and male (B) somatic cells obtained from human gonads between 6 and 21 weeks of gestation [24]. The color scale represents NR2F2 gene expression. CoelEpi, coelomic epithelium; OSE, ovarian surface epithelium; preGC, pre-granulosa cell; Gi, gonadal interstitial; Oi, ovarian interstitial; SMC, smooth muscle cell. Figure S2. (A) Transfected COV434 cells were blue fluorescence protein (BFP)-positive 24 h after transfection (excitation laser = 358 nm). (B) Fluorescence-activated cell sorting (FACS) was performed 48 h after transfection according to the filters P1: cell size and granularity settled for COV434 cell dimensions; P2: singlets; P3: enriched fluorescence intensity. Approximately 0.4% of the detected events corresponded to transfected single cells, which were seeded as single cells into wells of 96-well plates. (C) From day 17 after transfection, single cell-derived clones were observed under the phase contrast light microscope. Figure S3. (A) Principal component analysis (PCA) plot of WT (green dots) and NR2F2-KO COV434 (red triangles) replicates (n = 4/group) revealed an outlier sample in the WT group (arrow). (B) PCA plot considering n = 3 replicates for WT (outlier excluded) and n = 4 replicates for NR2F2-KO COV434 cells. Figure S4. (A) RT-qPCR validation of DEGs obtained by RNA-seq. RNA-seq fold-change (FC) and RT-qPCR FC of six genes when comparing the transcript expression between WT and NR2F2-KO COV434 cells. RNA-seq FC is based on the values of fragments per million mapped fragments (FPM). RT-qPCR FC represents the relative expression values (2−ΔΔCt) compared to the WT.S8 was used as a reference gene. (B) RT-qPCR results are shown as mean ± SEM (n = 2–4). Student’s t-test with Welch’s correction, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. (C) UMAP of cell lineages in the scRNA-seq datasets of developing ovary and mesonephros obtained from human female fetuses between 6 and 21 weeks of gestation [24]. The color scale represents the enrichment for downregulated and upregulated DEGs (NR2F2-KO versus WT COV434 cells). CoelEpi, coelomic epithelium; OSE, ovarian surface epithelium; preGC, pre-granulosa cell; Gi, gonadal interstitial; Oi, ovarian interstitial; SMC, smooth muscle cell. Figure S5. Gene ontology analysis of biological processes for the 378 overlapping genes between the 500 top expressed genes in WT and NR2F2-KO COV434 cells. Table S1. Primer and guide RNA sequences.

Additional file 2.

RNA sequencing data comparing WT and NR2F2-KO COV434 cells.

Additional file 3.

Analysis of the unique gene signatures of WT and the NR2F2-KO COV434 cells.

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Ferreira, L.G.A., Kizys, M.M.L., Gama, G.A.C. et al. COUP-TFII regulates early bipotential gonad signaling and commitment to ovarian progenitors. Cell Biosci 14, 3 (2024). https://doi.org/10.1186/s13578-023-01182-5

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