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Microarray analysis of Foxl2 mediated gene regulation in the mouse ovary derived KK1 granulosa cell line: Over-expression of Foxl2 leads to activation of the gonadotropin releasing hormone receptor gene promoter

Abstract

Background

The Foxl2 transcription factor is required for ovarian function during follicular development. The mechanism of Foxl2 regulation of this process has not been elucidated. Our approach to begin to understand Foxl2 function is through the identification of Foxl2 regulated genes in the ovary.

Methods

Transiently transfected KK1 mouse granulosa cells were used to identify genes that are potentially regulated by Foxl2. KK1 cells were transfected in three groups (mock, activated, and repressed) and twenty-four hours later RNA was isolated and submitted for Affymetrix microarray analysis. Genesifter software was used to carry out analysis of microarray data. One identified target, the gonadotropin releasing hormone receptor (GnRHR) gene, was chosen for further study and validation of Foxl2 responsiveness. Transient transfection analyses were carried out to study the effect of Foxl2 over-expression on GnRHR gene promoter-luciferase fusion activity. Data generated was analyzed with GraphPad Prism software.

Results

Microarray analysis identified 996 genes of known function that are potentially regulated by Foxl2 in mouse KK1 granulosa cells. The steroidogenic acute regulatory protein (StAR) gene that has been identified as Foxl2 responsive by others was identified in this study also, thereby supporting the effectiveness of our strategy. The GnRHR gene was chosen for further study because it is known to be expressed in the ovary and the results of previous work has indicated that Foxl2 may regulate GnRHR gene expression. Cellular levels of Foxl2 were increased via transient co-transfection of KK1 cells using a Foxl2 expression vector and a GnRHR promoter-luciferase fusion reporter vector. The results of these analyses indicate that over-expression of Foxl2 resulted in a significant increase in GnRHR promoter activity. Therefore, these transfection data validate the microarray data which suggest that Foxl2 regulates GnRHR and demonstrate that Foxl2 acts as an activator of the GnRHR gene.

Conclusions

Potential Foxl2 regulated ovarian genes have been identified through microarray analysis and comparison of these data to other microarray studies. The Foxl2 responsiveness of the GnRHR gene has been validated and provided evidence of Foxl2 transcriptional activation of the GnRHR gene promoter in the mouse ovary derived KK1 granulosa cell line.

Background

The transcription factor Foxl2 is vital to ovarian function as evidenced by the identification of mutations in the gene encoding FoxL2 that result in the condition known as blepharophimosis/ptosis/epicanthus inversus syndrome (BPES) and in some cases, premature ovarian failure (POF) [1]. Type I BPES is characterized by eyelid malformation and POF suggesting that the expression of FoxL2 is critical in the developing eyelid as well as in the maintenance of ovarian function. Foxl2 has also been implicated in the process of sex determination in mice [2] as well as in humans [3].

Foxl2 knockout studies in the mouse provide compelling evidence of the critical role that Foxl2 plays in ovarian function. In a study in which a portion of the Foxl2 coding region (amino acids N-61) was fused to the β-galactosidase gene (LacZ), homozygous Foxl2-lacZ mice exhibited ovarian failure resulting from the absence of granulosa cell differentiation at an early stage of follicular development [4]. These investigators observed that follicles were activated and underwent apoptosis, leading to progressive follicular depletion and ovarian atresia. A second study in which both copies of Foxl2 were completely knocked out determined that the development of granulosa cells was blocked at the point of primordial follicle formation [5].

In order to understand the mechanism through which Foxl2 functions in follicular development, ovarian specific target genes must be identified. Microarray analysis has been performed previously by other groups using strategies that differ from this present study. The first study involved over-expression of FoxL2 in the human KGN granulosa cell line and Nimblegen gene chips [6]. A more recent study used Foxl2 knockout mice and whole ovary preparations of RNA for their analyses. Both Affymetrix and Agilent gene chips were used by these investigators [7].

In this present study, mouse Foxl2 target genes were identified using Affymetrix microarray analysis. The effect of Foxl2 mediated gene regulation was examined through the use of vectors expressing Foxl2 fusion proteins designed to either activate or repress gene expression (fusions are described in Methods section below). The KK1 mouse granulosa cell line is an excellent system for these studies in that these cells exhibit granulosa cell characteristics such as gonadotropin responsiveness and inhibin expression [8]. In addition, KK1 cells are easy to maintain in culture and can be transfected with high efficiency. The data generated using the Affymetrix microarray analysis have been compared to those found in the above mentioned studies and many of the target genes identified are common to those studies [6, 7].

In addition, a candidate gene identified in the microarray analysis was chosen for further study. The GnRHR gene was chosen based on the results of our previous study which implicated Foxl2 in the regulation of GnRHR in the pituitary derived αT3-1 cell line [9]. This present study provides the first evidence that Foxl2 affects the expression of GnRHR in the ovary. Foxl2 regulation of the GnRHR gene has been examined in KK1 granulosa cells through the use of transient co-transfection studies of a GnRHR promoter-luciferase fusion construct and a wild type Foxl2 expression vector. The results of these analyses suggest that Foxl2 is a positive regulator of the murine GnRHR gene promoter.

Methods

Cell culture

The KK1 granulosa cell line was a gift from Dr. Ilpo Huhtaniemi whose laboratory developed the cell line and from Dr. Deborah Segaloff who sent us the cell line. The cells are grown in DMEM/F12 (50/50) containing 10% heat inactivated FBS (Gemini Bioproducts; West Sacramento, CA), 100 μg/ml penicillin-streptomycin, and 0.25 μg/ml amphotericin B. All cell culture reagents other than FBS were purchased from Mediatech; Manassas, VA.

Affymetrix microarray analysis

The KK1 granulosa cell line was chosen as a model system for this study as a result of numerous published studies as well as our own observations suggesting that the site of action of Foxl2 during follicular development is the granulosa cell. However, due to endogenous expression of Foxl2 in KK1 cells, simple over-expression resulting from transfection of a Foxl2 expression vector may not affect levels of gene expression sufficiently to be detected efficiently by microarray analysis. Therefore, in order to increase the potential of Foxl2 to alter gene expression levels of putative target genes, two fusions were constructed consisting of Foxl2 fused to the activation domain of the Herpes simplex virus VP16 transcription factor (Foxl2-VP16) and Foxl2 fused to the repression domain of the murine MAD transcription factor (Foxl2-MAD). Levels of gene expression were compared between mock transfected cells and those that were transfected with Foxl2-VP16 and Foxl2-MAD, respectively.

Foxl2 fusion protein derivatives

The construction of Foxl2-VP16 was described previously and was shown to function as a specific activator of transcription [9]. Foxl2-MAD consists of the 40 amino acid N-terminal mSin3 interaction domain (SID) of the Mad transcription factor fused to Foxl2 in the expression vector pcDNA 3.1 (Invitrogen Corporation; Carlsbad, CA). The repression activity of the Mad-SID is mediated through interactions of the Mad N-terminus with the mammalian Sin3 co-repressor protein [10, 11]. The effectiveness of the Sin3 binding domain of Mad in silencing gene expression when fused to DNA binding proteins has been demonstrated in two studies. One group fused the Mad SID to the c-Jun DNA binding domain and demonstrated specific inhibition of transcription mediated by binding to AP-1 binding site elements [12]. Another group of investigators fused Mad SID to the tetracycline receptor and demonstrated tetracycline mediated gene repression via binding to the tetracycline operator sequence [11]. The ability of Foxl2-Mad and Foxl2-VP16 fusion constructs was tested utilizing the Foxl2-VP16 responsive luciferase reporter 3X-GRAS-Luc [9]. In transient transfections of KK1 cells, Foxl2-VP16 resulted in a greater than 50-fold increase in luciferase expression. The co-transfection of Foxl2-Mad attenuated the ability of Foxl2-VP16 to activate luciferase expression by 95% (data not shown). Therefore, these fusion vectors are appropriate for activation and repression studies of Foxl2 specific genes.

Microarray transfection

KK1 cells were grown in 150 mm tissue culture plates to 50% confluence. Three plates were mock transfected with 30 μl of Fugene 6 transfection reagent (Roche Applied Science; Indianapolis, IN) and 10 μg of empty vector (pcDNA 3.1). Three plates were transfected with 10 μg of Foxl2-VP16 expression vector in 30 μl Fugene reagent and 3 plates were transfected with 10 μg of Foxl2-MAD expression vector in 30 μl Fugene reagent. After 24 hours incubation at 37°C the cells were harvested and polyA+ RNA was isolated using RNeasy (Qiagen Inc.; Valencia, CA) according to manufacturer's procedures. Ten μg of RNA isolated from each plate were diluted to a concentration of 1 μg/μl and a total of 9 samples were submitted to the Colorado State University Affymetrix core facility for analysis.

Microarray and data analysis

Nine Affymetrix mouse genome 430 2.0 chips were used (one for each plate of KK1 cells). Our microarray data can be downloaded from the web site, http://www.ncbi.nlm.nih.gov/geo, via the accession number GSE18891. Data obtained from the chips was analyzed using the Genesifter Program (VizX Labs LLC; Seattle, WA).

Two independent analyses were performed. In the first, our data was analyzed using pairwise analysis, mean normalization, and T-test statistical analysis (P < 0.05). In the second, we compared our data to that of Garcia-Ortiz et al. [7]. Eighteen Affymetrix CEL files representing the developmental stage embryonic days 13 and 16, and birth were downloaded from http://www.ncbi.nlm.nih.gov/geo, via the accession number GSE12989 [7]. These files were uploaded along with our 9 Affymetrix CEL files together into Genesifter for analysis using the MAS5 advanced upload method. A project analysis in was set up in Genesifter with the following parameters: the cutoff threshold was set at 1.8 fold with T-test statistical analysis (mouse) or anova (KK1), and P < 0.05.

Transient co-transfection and luciferase assays

Expression vectors

The original GnRHR promoter luciferase fusion reporter vector (pMGR-600 Luc) was described previously [13]. In this study, the plasmid -600 Luc was created by subcloning the 600 base pair fragment of the mouse GnRHR promoter into the expression vector pGL3 basic (Promega Corporation; Madison, WI). The Foxl2 expression vector (pFoxl2) consists of the mouse Foxl2 open reading frame inserted in pCDNA 3.1 (Invitrogen Corporation; Carlsbad, CA). The renilla luciferase control vector phRL-CMV is part of the dual luciferase assay system (Promega Corporation; Madison, WI).

Transfection

KK1 cells were plated at a density of 2.5 × 105 cells per well of 24 well tissue culture plates the day the transfections were carried out. Transfections included 0.3 μg -600 Luc reporter plasmid, 3 ng of phRLCMV renilla luciferase vector to normalize for transfection efficiency, and either 0.3 μg pcDNA 3.1 (as a control) or 0.3 μg pFoxl2. DNA was mixed with DMEM/F12 medium containing Fugene 6 reagent (Roche Applied Science; Indianapolis, IN) at a ratio of 4:1 Fugene to total DNA and added to cells.

Luciferase assays

Transfected cells were incubated for 24 hours at 37°C and washed 3 times with phosphate buffered saline. Cells were lysed and the Dual-luciferase assay was performed according to manufacturer's instructions (Promega Corporation; Madison, WI) using a 20/20nluminometer (Turner Biosystems; Sunnyvale, CA). Each transfection was carried out in triplicate and experiments were carried out a total of 4 times. Data was analyzed with the paired T-test using GraphPad Prism software (GraphPad Software, Inc.; La Jolla, CA).

Results

Affymetrix microarray analysis

In order to increase the effectiveness of this analysis, Foxl2 derivatives consisting of the entire open reading frame of Foxl2 fused to either the strong transcriptional activation domain of Herpes simplex virus VP16 [9] or the Mad protein-SID domain, a repressor of transcription [10, 14] were used. These Foxl2 fusion proteins can be used as tools for gene discovery as the DNA binding domain of Foxl2 will guide either the activation or repression domain to the promoter regions of genes that are normally regulated by Foxl2 via specific DNA binding. Theoretically, Foxl2-VP16 should stimulate genes that are normally regulated by Foxl2, particularly those that are normally repressed in KK1 cells. Conversely, Foxl2-MAD should function to repress genes normally regulated by Foxl2, especially those that are normally active in KK1 cells. In this study, levels of gene expression in murine KK1 granulosa cells transfected with the fusion protein expression vectors were compared to mock transfected cells. A pairwise analysis was performed with the following groupings: mock vs. VP16 transfected cells (group NA); mock vs. Mad transfected cells (group NR); and Mad vs. VP16 transfected cells (group RA). The cumulative listings of genes for these groups are found in Additional Files 1, 2, and 3 respectively. The results of the pairwise analysis are summarized in the comprehensive listing of 636 potential targets of the Foxl2 transcription factor (Additional File 4). Only genes of known function are listed and all exhibited at least a 1.75 fold change in expression levels.

In order to validate these findings, we carried out a comparison of our data to data derived from two other microarray studies [6, 7]. One group used the human KGN granulosa cell line and over-expression of FoxL2 to identify potential targets and qPCR to confirm numerous FoxL2 regulated genes [6]. A second group used mouse Foxl2 knockouts and whole ovarian preparations for microarray studies as well as analysis of other investigator's microarray data [7].

Garcia-Ortiz et al. [7] used Affymetrix gene chips identical to those used in our study to compare developmental stage specific gene expression levels in ovary preparations from wild type and Foxl2 knockout mice at embryonic day 13 (E13), embryonic day 16 (E16), and birth (P0). This allowed us to compare our raw data directly to theirs and determine the similarity between differentially expressed genes in our KK1 study and their stage specific study. In this analysis, we compared differentially expressed genes from mock, VP16, and Mad transfected KK1 cell groups combined (Additional file 5) to mouse samples [7] that compared wild type to Foxl2 knockout for stages E13 (Additional file 6); E16 (Additional file 7), and P0 (Additional file 8).

The "Intersector" subroutine in Genesifter allowed us to find commonalities between the groups of genes in Additional files 5, 6, 7, 8. The comparisons are the following: KK1 vs. E16, KK1 vs. E13, and KK1 vs. P0 (Figure 1 and Additional file 9). This analysis resulted in the discovery of 360 new genes of known function that were shared between the KK1 and mouse ovary studies increasing the total number of potential Foxl2 target genes to 996 (Additional file 4).

Figure 1
figure 1

Comparison of differential gene expression in KK1 cells to mouse ovary developmental stages. Genesifter software was used to determine differentially expressed genes in KK1 cells and mouse in vivo samples [7]. The KK1 analysis for differentially expressed genes generated a cumulative listing of 2520 differentially expressed genes among the mock, VP16, and mad transfected cell groups combined (Additional file 5). The mouse samples compared wild type to knockout for each stage as follows: E13, 3289 genes (Additional file 6); E16, 2995 genes (Additional file 7); and P0, 4330 genes (Additional file 8). Comparisons between groups of genes were performed with Genesifter Intersector. The comparisons are represented by circles and are as follows: KK1 vs. E16; KK1 vs. E13; and KK1 vs. P0. The number of genes in each grouping corresponding to color codes is indicated on the right. A listing of all genes may be found in Additional file 9.

We then turned our attention to the human KGN cell line study of Batista et al. [6]. In comparing their confirmed human gene list to our mouse gene list, 3 common genes were identified. These were Mrgpre, Maff, and Rspo3 (Additional file 10). Comparison of their comprehensive listing with our study's list of genes resulted in finding a total of 42 genes common to both (Additional file 10).

In order to begin to understand the significance of the genes common to the three microarray studies in the ovary, we then searched the Ovarian Kaleidoscope Database (OKdb) to determine if other investigators had published evidence of ovarian expression of these genes. A total of 71 of the genes were found to be expressed in the ovary and have been categorized according to function: Gene Regulation (Table 1), Signaling (Table 2), and Metabolism, Cell Adhesion, Cytoskeletal, and Structural (Table 3).

Table 1 Gene Regulation
Table 2 Signaling
Table 3 Metabolism/Cell Adhesion/Cytoskeletal/Structural

Three of the genes that we have included in Table 2 were not found in the OKdb: Mrgpre, Ctla4 and Eda. These are potentially important due to the fact that they are common to all three studies. The StAR gene was not found in either of the other group's data sets but included in Table 3 because it has been shown to be a human Foxl2 target gene [15]. Our finding that the mouse StAR gene is a Foxl2 target validates the approach chosen for this study. The GnRHR gene was not found in either of the other group's data sets and is noted in Table 2 because further evidence of Foxl2 regulation of this gene is provided in the section that follows.

Transient co-transfection and luciferase assays

Transient co-transfection studies to determine the Foxl2 regulation of the GnRHr promoter were carried out using KK1 cells transfected with various combinations of luciferase reporter vectors and pcDNA 3.1 expression vectors. The effect of Foxl2 over-expression on the activity of the GnRHR promoter was determined by comparing the luciferase activity of the promoter in the presence of pFoxl2 (over-expression) to the activity of the promoter in the absence of Foxl2 over-expression (pcDNA 3.1). Foxl2 over-expression activated the GnRHR promoter 5.8 fold (Figure 2).

Figure 2
figure 2

Foxl2 over-expression causes activation of the GnRHR promoter. The GnRHR promoter-firefly luciferase vector (-600 Luc) was co-transfected with either pFoxl2 or pcDNA 3.1. All transfections included the control vector phRLCMV that expresses renilla luciferase to correct for differences in transfection efficiency between samples. Firefly luciferase values were divided by renilla luciferase values to normalize for transfection efficiency. As an additional control, the promoter-less luciferase vector (pGL3 basic) was transfected with either the empty vector pCDNA3 or Foxl2 expression vector (pFoxl2) in order to show that Foxl2 did not affect the luciferase control vector (Data not shown). Data from four independent transfection experiments was combined to generate the graph in Figure 1. Each of the four experiments was performed in triplicate for a total of 12 data points represented in each column. Each of the experiments used different KK1 cell cultures and DNA preparations. Statistical analysis using GraphPad Prism software (paired T-test; p = 0.0067**) allowed us to determine that Foxl2 over-expression caused a 5.8 fold increase in promoter activity.

Discussion

This study has resulted in an increased awareness of Foxl2 function in the ovary. First, through the use of microarray analysis we have added to the growing list of genes that appear to be regulated by Foxl2 and thus may play a role in follicular development in the ovary. Second, we have demonstrated the GnRHR gene promoter is regulated in a positive manner by the transcription factor Foxl2 in the KK1 granulosa cell line.

Affymetrix microarray analysis

In an effort to increase the level of differential gene expression that could be induced by Foxl2 and thereby efficiently detected by microarray analysis, we have used Foxl2 derivatives in this study. This approach appears to have succeeded in that the mouse StAR gene was detected and had been previously demonstrated to be Foxl2 responsive in a human system [15]. Based on our experimental design, we would have predicted that in comparing mock to Foxl2-VP16 transfected cells (NA) all values would be positive due to VP16 transactivation. However, in looking through the genes beginning with the letter "A" in our comprehensive alphabetical listing (Additional file 4), 16 out of 22 in the NA category were negative. The simplest explanations for repression of gene expression by VP16 are provided by the authors of a study that also used a VP16 fusion for microarray analysis and also noted unexpected negative regulation [16]. These investigators speculated that VP16 caused the induction of repressors or squelching of coactivator activity [16].

The repressor induction mechanism for VP16 repression is a distinct possibility in light of recent studies that have explored the mechanisms involved in the control of Foxl2 transactivation activity. These investigators found that deacetylation of the Foxl2 protein by the SIRT1 deacetylase causes a decrease in Foxl2 transactivation [17]. Sirt1 was also identified as a Foxl2 regulated gene that is activated by Foxl2 [18]. In addition, these investigators demonstrated that the Foxl2 promoter is repressed by Sirt1 expression as part of a feedback mechanism of regulation in response to stress [18]. Therefore, Sirt1 induction could alter the activity of Foxl2-VP16, as well as repress other genes, resulting in down regulation of genes in Foxl2-VP16 transfected cells. A specific example is a study demonstrating that Sirt1 deacetylation of AP1 modulates its function and causes repression of the Cox2 gene [19].

The comparison of mock to Foxl2-Mad transfected cells (NR) of genes beginning with the letter "A" reveals 10 out of 12 are negatively regulated as expected (Additional file 4). The finding that only 2 out of the 12 were activated by Mad domain repression suggests that Foxl2-Mad functions more reliably as a repressor in comparison to Foxl2-VP16 as an activator in our study. Perhaps this is due to the Mad repression domain interacting specifically with the Sin3 complex deacetylase leading to chromatin remodeling [10]. On the other hand, the VP16 activation domain mechanism of transactivation is the result of interactions with a variety of factors including histone acetylases, basal transcription factors, and the coactivators CBP and Mediator to name a few [20, 21]. Therefore, over-expression of VP16 fusion proteins may lead to repression due to competition for the factors needed for endogenous gene expression [22]. With this in mind, the use of an alternative activation domain with greater specificity in its interactions would have resulted in fewer false repression events. However, we should reiterate that this microarray study was intended to provide a listing of potential Foxl2 target genes and does not have the potential to discern Foxl2 regulatory mechanisms.

This study has compared microarray data from two in vitro studies that utilized the human KGN [6] and mouse KK1 (this study) cell lines respectively, and an in vivo study that used mouse Foxl2 knockouts [7]. The KK1 cell line was derived from a transgenic female mouse in which SV40 T antigen expression was driven by a 6 Kb inhibin alpha promoter fragment [8]. The mouse developed a large ovarian tumor that was collected after 5 months. The tumor cells had the morphological characteristics of granulosa cells. Subcultures were tested for their cAMP and steroidogenic response to chorionic gonadotropin and the culture with the strongest response (KK1) was characterized further. The KK1 cells were shown to be immortalized luteinizing granulosa cells that expressed LH and FSH receptors, steroidogenic enzymes, and inhibin alpha [8]. The KGN cell line was derived from a 73 year old woman in which granulosa cell carcinoma had recurred [23]. The KGN cells had steroidogenic activities similar to those of normal human granulosa cells and expressed functional FSH receptor [23]. Therefore, in comparisons of these studies, we would assume that the microarray data derived from the KGN and KK1 cell lines is representative of well differentiated granulosa cells while the mouse microarray data (E13, E16, and P0) represents less differentiated granulosa cells from embryonic stages and birth [7].

As seen in Figure 1, we do find evidence that this assumption is correct when we compare the number of genes shared between KK1 cells and the in vivo mouse data of Garcia-Ortiz et al. [7]. The number of shared genes increases from the embryonic stages (211&225 genes respectively) to 325 genes at birth (P0), indicating that KK1 cells have transcriptional profile more like that of a mature granulosa cell in vivo. Further similarities as well as differences in shared genes among the three comparison groups represented by the different colors in Figure 1 can be found in individual sheets in Additional file 9. Of the five genes that are shared by all groups (Figure 1-white), three have known functions: Pa2g4, Rab28, and Thbs2. Pa2g4 stands for proliferation-associated 2G4, a transcription factor involved in cell growth and signalling [24]. Rab28 is a Ras oncogene family member involved in the regulation of membrane trafficking [25]. Thbs2 is also found in Table 3, and encodes thrombospondin 2, an antiangiogenic protein involved in follicle development [26]. The two genes of unknown function are RIKEN cDNA 5033428C03 which encodes the hypothetical protein LOC74728 (entrez gene ID 74728) and Ta0871 that encodes a hypothetical protein from Thermoplasma acidophilum (entrez gene ID 1456410).

Comparison of our microarray data and comprehensive listing of potential Foxl2 target genes (Additional file 4) to those generated by two other groups of investigators [6, 7] has allowed us to generate a subset of Foxl2 targets that have greater potential of being Foxl2 regulated (Additional file 10). Of particular interest are the genes that are common to all three studies: Bcl11a, Hoxb5, Mrgpre, and Ptpn6 (Tables 1 and 2). The functions of these genes are described below.

Mrgpre, along with Maff and Rspo3, also appear on the qPCR confirmed gene listing of Batista et al. [6]. The Mrgpre gene product is a Mas1 related G protein coupled receptor that may be involved in the sensation or modulation of pain in a subset of sensory neurons [27]. Maff stands for v-maf musculoaponeurotic fibrosarcoma oncogene homolog f (avian). The protein encoded by the gene is a basic-leucine zipper (bZIP) transcription factor that is up-regulated by pro-inflammatory cytokines in myometrial cells [28]. Rspo3 encodes R-spondin 3, a secreted protein that mediates Wnt signaling and is involved in angiogenesis during mouse development [29].

Finally, the OKdb was utilized to identify genes from this study that were demonstrated to be expressed in the ovary in previous studies. These genes have been divided into three tables based on known functions: 1. gene regulation; 2. signaling; and 3. metabolism, cell adhesion, cytoskeletal, and structural. Our focus now turns to a discussion regarding the functions of genes listed in Tables 1, 2, 3 that are known to be expressed in granulosa cells (OKdb).

In the area of gene regulation (Table 1), Bcl11a and Serpine2 are expressed in granulosa cells although their function in the ovary is unknown. The zinc finger transcription factor Bcl11a was shown to be up-regulated in human granulosa cells treated with FSH [30]. In human erythroid cells where much more is known about the factor, the Bcl11A protein functions as a repressor and is involved in silencing fetal hemoglobin expression in adults [31]. Serpine2 is a serine protease inhibitor that is differentially expressed in large and small follicles in sheep [32]. Serpine2 protein levels are elevated in dominant bovine follicles [33], whereas the levels of Serpine2 are lower in ovaries of Foxl2 knockout mice suggesting that the gene is induced by Foxl2 [7]. Gabpa and Nr4a2 are two genes in this category that have been characterized to a greater extent with respect to granulosa cell function. Gabpa is an ETS family transcription factor that regulates the Rhox5 homeobox gene in rat granulosa cells [34]. In the regulation of the nicotinic acetylcholine receptor gene, Gabpa recruits the histone acetyl transferase p300 when the promoter is activated, and recruits the histone deacetylase HDAC1 when the promoter is not activated [35]. Nr4a2 was found to be rapidly induced by cAMP in the KGN granulosa cell line [36]. LH was shown to induce Nr4a2 expression in mouse granulosa cells [37].

Six genes involved in signaling (Table 2) are expressed in granulosa cells. Akt1 is a component of the phosphoinositide 3'-OH kinase (PI3K) pathway and is phosphorylated in response to Igf1 stimulation of bovine granulosa cells [38]. Akt1 has also found in human granulosa cells during follicle development [39]. The human GnRH receptor has been shown to be expressed predominantly in granulosa cells of pre-ovulatory follicles [40]. The role of GnRH in the ovary is diverse as it regulates steroidogenesis, cell proliferation, and apoptosis [41]. Gucy1b3 encodes a guanylate cyclase that is activated by nitric oxide (NO) and is expressed at high levels in granulosa cells of primordial and primary follicles of the rat ovary [42]. NO has been shown to inhibit estrogen production in rat granulosa cells [43] and steroidogenesis in porcine granulosa cells [44]. Ppp1r1b is a protein phosphatase involved in signal transduction pathways in human granulosa cells in response to dopamine and human chorionic gonadotropin stimulation [45]. Prlr encodes the prolactin receptor which is localized to granulosa cells as well as other cell types in the rat ovary [46]. Prolactin receptor expression in rat granulosa cells is increased by treatment of cultured cells with FSH, LH and hCG [47]. Ptpn6 encodes a protein tyrosine phosphatase that is involved in modulating the signaling cascade activated by PRL in granulosa cells [48].

The Ctla4, Eda, and Mrgpre genes are in the signaling category but are not found in the OKDB. However, they are worthy of mention due to appearing in this study as well as both the human KGN study [6] and the mouse knockout study [7]. Ctla4 encodes cytotoxic T-lymphocyte associated protein 4, a receptor/signal transducer that suppresses immune system function and is regulated by the forkhead transcription factor FoxP3 [49–51]. Transcriptional regulation of Ctla4 by Foxl2 in granulosa cells may be the result of similarities in the Forkhead binding sequence elements in the Ctla4 promoter that allow both factors to regulate the gene, with cell type determining the presence of either FoxP3 or Foxl2 in T cells or granulosa cells respectively. The Eda gene encodes the protein ectodysplasin A, a tumor necrosis factor family member with several isoforms, one of which is a transmembrane protein [52]. Mutations in the soluble form of the EDA protein and the EDA receptor are the cause of anhidrotic ectodermal dysplasia, a syndrome that results from impaired development of skin appendages during embryogenesis [53].

Genes in Table 3 that have been shown to be expressed in granulosa cells include Hspg2, an anticoagulant heparin sulfate proteoglycan involved in follicle development and ovulation in rats[54]. Hspg2 had also been found in human follicular fluid [55]. Odc1 encodes ornithine decarboxylase 1 (ODC1), the rate-limiting enzyme of the polyamine biosynthesis pathway which catalyzes ornithine to putrescine. ODC1 expression is stimulated by LH in granulosa cells and may mediate the effects of LH during the process of follicular development [56]. Thbs2 encodes thrombospondin 2, an antiangiogenic protein involved in follicle development [26].

Two genes involved in metabolism, StAR and Vldlr, are expressed in granulosa cells and the gene products of both are involved in steroidogenesis. StAR encodes the steroidogenic acute regulatory protein, which transfers cholesterol from the outer to the inner mitochondrial membrane, the rate limiting step in steroidogenesis [57]. Vldlr encodes the very low density lipoprotein receptor, which obtains lipoproteins from plasma, a source of cholesterol for steroidogenesis [58].

Transient co-transfection and luciferase assays

Foxl2 over-expression resulted in a 6 fold activation of the GnRHR gene promoter in transient co-transfections of KK1 cells. This was the first demonstration of Foxl2 regulation of the GnRHR gene in ovarian derived cells. Our previous study had demonstrated that Foxl2 could potentially regulate the GnRHR promoter in pituitary derived αT3-1 cell line based on activation by the Foxl2-VP16 fusion protein [9]. Foxl2-VP16 action was directed by binding to the GRAS element with the potential for complex formation with Smad and AP1 transcription factors [9]. Whether a similar mechanism or alternative binding site(s) are involved in granulosa cells has not been determined.

Only a few Foxl2 target genes in the ovary have been confirmed through promoter cloning and reporter gene fusion analysis. The goat CYP19 gene, which encodes the enzyme aromatase, was activated by Foxl2 [59]. The human StAR gene, encoding the steroidogenic acute regulatory protein, is repressed by FoxL2 [15]. We have evidence that the mouse StAR gene is also repressed by Foxl2 (in preparation).

Conclusions

We have identified potential Foxl2 regulated ovarian genes through microarray analysis and comparison of our data to that from other microarray studies. Foxl2 derivatives with either activation or repression domains were used in this gene discovery process. Foxl2 regulation of steroidogenesis appears to be of importance in the ovary, as many of the genes we identified appear to be involved either directly or indirectly in the process. These include GnRHR, Gucy1b3, Prlr, Ptpn6, StAR and Vldlr.

The GnRHR gene identified through microarray analysis has been validated as Foxl2 responsive through promoter cloning and reporter gene analysis. Transient co-transfections of a GnRHR-luciferase reporter vector and a wild-type Foxl2 expression vector provided evidence of Foxl2 transcriptional activation of the GnRHR gene promoter in the mouse ovary derived KK1 granulosa cell line.

Abbreviations

cAMP:

cyclic adenosine monophophate

GnRHR:

gonadotropin releasing hormone receptor

StAR:

steroidogenic acute regulatory protein

BPES:

blepharophimosis/ptosis/epicanthus inversus syndrome

POF:

premature ovarian failure

LacZ:

β-galactosidase

DMEM:

Dulbecco's Modified Eagle's Medium

F12:

Ham's F12 nutrient mixture

FBS:

fetal bovine serum

SID:

mSin3 interaction domain

μg:

microgram

μl:

microliter

NO:

nitric oxide

LH:

luteinizing hormone

hCG:

human chorionic gonadotropin

References

  1. Crisponi L, Deiana M, Loi A, Chiappe F, Uda M, Amati P, Bisceglia L, Zelante L, Nagaraja R, Porcu S, et al.: The putative forkhead transcription factor FOXL2 is mutated in blepharophimosis/ptosis/epicanthus inversus syndrome. Nat Genet 2001, 27: 159–166. 10.1038/84781

    Article  CAS  PubMed  Google Scholar 

  2. Ottolenghi C, Pelosi E, Tran J, Colombino M, Douglass E, Nedorezov T, Cao A, Forabosco A, Schlessinger D: Loss of Wnt4 and Foxl2 leads to female-to-male sex reversal extending to germ cells. Hum Mol Genet 2007, 16: 2795–2804. 10.1093/hmg/ddm235

    Article  CAS  PubMed  Google Scholar 

  3. Hersmus R, Kalfa N, de Leeuw B, Stoop H, Oosterhuis JW, de Krijger R, Wolffenbuttel KP, Drop SL, Veitia RA, Fellous M, et al.: FOXL2 and SOX9 as parameters of female and male gonadal differentiation in patients with various forms of disorders of sex development (DSD). J Pathol 2008, 215: 31–38. 10.1002/path.2335

    Article  CAS  PubMed  Google Scholar 

  4. Schmidt D, Ovitt CE, Anlag K, Fehsenfeld S, Gredsted L, Treier AC, Treier M: The murine winged-helix transcription factor Foxl2 is required for granulosa cell differentiation and ovary maintenance. Development 2004, 131: 933–942. 10.1242/dev.00969

    Article  CAS  PubMed  Google Scholar 

  5. Uda M, Ottolenghi C, Crisponi L, Garcia JE, Deiana M, Kimber W, Forabosco A, Cao A, Schlessinger D, Pilia G: Foxl2 disruption causes mouse ovarian failure by pervasive blockage of follicle development. Hum Mol Genet 2004, 13: 1171–1181. 10.1093/hmg/ddh124

    Article  CAS  PubMed  Google Scholar 

  6. Batista F, Vaiman D, Dausset J, Fellous M, Veitia RA: Potential targets of FOXL2, a transcription factor involved in craniofacial and follicular development, identified by transcriptomics. Proc Natl Acad Sci USA 2007, 104: 3330–3335. 10.1073/pnas.0611326104

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Garcia-Ortiz JE, Pelosi E, Omari S, Nedorezov T, Piao Y, Karmazin J, Uda M, Cao A, Cole SW, Forabosco A, et al.: Foxl2 functions in sex determination and histogenesis throughout mouse ovary development. BMC Dev Biol 2009, 9: 36. 10.1186/1471-213X-9-36

    Article  PubMed Central  PubMed  Google Scholar 

  8. Kananen K, Markkula M, Rainio E, Su JG, Hsueh AJ, Huhtaniemi IT: Gonadal tumorigenesis in transgenic mice bearing the mouse inhibin alpha-subunit promoter/simian virus T-antigen fusion gene: characterization of ovarian tumors and establishment of gonadotropin- responsive granulosa cell lines. Mol Endocrinol 1995, 9: 616–627. 10.1210/me.9.5.616

    CAS  PubMed  Google Scholar 

  9. Ellsworth BS, Burns AT, Escudero KW, Duval DL, Nelson SE, Clay CM: The gonadotropin releasing hormone (GnRH) receptor activating sequence (GRAS) is a composite regulatory element that interacts with multiple classes of transcription factors including Smads, AP-1 and a forkhead DNA binding protein. Mol Cell Endocrinol 2003, 206: 93–111. 10.1016/S0303-7207(03)00235-1

    Article  CAS  PubMed  Google Scholar 

  10. Ayer DE, Lawrence QA, Eisenman RN: Mad-Max transcriptional repression is mediated by ternary complex formation with mammalian homologs of yeast repressor Sin3. Cell 1995, 80: 767–776. 10.1016/0092-8674(95)90355-0

    Article  CAS  PubMed  Google Scholar 

  11. Jiang W, Zhou L, Breyer B, Feng T, Cheng H, Haydon R, Ishikawa A, He TC: Tetracycline-regulated gene expression mediated by a novel chimeric repressor that recruits histone deacetylases in mammalian cells. J Biol Chem 2001, 276: 45168–45174. 10.1074/jbc.M106924200

    Article  CAS  PubMed  Google Scholar 

  12. Iavarone C, Catania A, Marinissen MJ, Visconti R, Acunzo M, Tarantino C, Carlomagno MS, Bruni CB, Gutkind JS, Chiariello M: The platelet-derived growth factor controls c-myc expression through a JNK- and AP-1-dependent signaling pathway. J Biol Chem 2003, 278: 50024–50030. 10.1074/jbc.M308617200

    Article  CAS  PubMed  Google Scholar 

  13. Clay CM, Nelson S, DiGregorio GB, Campion CE, Wiedemann AL, RJ N: Cell-specific expression of the mouse gonadotropin-releasing hormone (GnRH) receptor gene is conferred by elements residing within 500 bp of proximal 5' flanking region. Endocrine 1995, 3: 615–622. 10.1007/BF02953028

    Article  CAS  PubMed  Google Scholar 

  14. Ayer DE, Laherty CD, Lawrence QA, Armstrong AP, Eisenman RN: Mad proteins contain a dominant transcription repression domain. Mol Cell Biol 1996, 16: 5772–5781.

    PubMed Central  CAS  PubMed  Google Scholar 

  15. Pisarska MD, Bae J, Klein C, Hsueh AJ: Forkhead l2 is expressed in the ovary and represses the promoter activity of the steroidogenic acute regulatory gene. Endocrinology 2004, 145: 3424–3433. 10.1210/en.2003-1141

    Article  CAS  PubMed  Google Scholar 

  16. Li Y, Lazar MA: Differential Gene Regulation by PPARgamma Agonist and Constitutively Active PPARgamma2. Mol Endocrinol 2002, 16: 1040–1048. 10.1210/me.16.5.1040

    CAS  PubMed  Google Scholar 

  17. Benayoun BA, Auer J, Caburet S, Veitia RA: The post-translational modification profile of the forkhead transcription factor FOXL2 suggests the existence of parallel processive/concerted modification pathways. Proteomics 2008, 8: 3118–3123. 10.1002/pmic.200800084

    Article  CAS  PubMed  Google Scholar 

  18. Benayoun BA, Batista F, Auer J, Dipietromaria A, L'Hote D, De Baere E, Veitia RA: Positive and negative feedback regulates the transcription factor FOXL2 in response to cell stress: evidence for a regulatory imbalance induced by disease-causing mutations. Hum Mol Genet 2009, 18: 632–644. 10.1093/hmg/ddn389

    Article  CAS  PubMed  Google Scholar 

  19. Zhang R, Chen HZ, Liu JJ, Jia YY, Zhang ZQ, Yang RF, Zhang Y, Xu J, Wei YS, Liu DP, Liang CC: SIRT1 suppresses activator protein-1 transcriptional activity and cyclooxygenase-2 expression in macrophages. J Biol Chem 2009.

    Google Scholar 

  20. Hall DB, Struhl K: The VP16 activation domain interacts with multiple transcriptional components as determined by protein-protein cross-linking in vivo. J Biol Chem 2002, 277: 46043–46050. 10.1074/jbc.M208911200

    Article  CAS  PubMed  Google Scholar 

  21. Ikeda K, Stuehler T, Meisterernst M: The H1 and H2 regions of the activation domain of herpes simplex virion protein 16 stimulate transcription through distinct molecular mechanisms. Genes Cells 2002, 7: 49–58. 10.1046/j.1356-9597.2001.00492.x

    Article  CAS  PubMed  Google Scholar 

  22. Matis C, Chomez P, Picard J, Rezsohazy R: Differential and opposed transcriptional effects of protein fusions containing the VP16 activation domain. FEBS Lett 2001, 499: 92–96. 10.1016/S0014-5793(01)02532-7

    Article  CAS  PubMed  Google Scholar 

  23. Nishi Y, Yanase T, Mu Y, Oba K, Ichino I, Saito M, Nomura M, Mukasa C, Okabe T, Goto K, et al.: Establishment and characterization of a steroidogenic human granulosa-like tumor cell line, KGN, that expresses functional follicle-stimulating hormone receptor. Endocrinology 2001, 142: 437–445. 10.1210/en.142.1.437

    Article  CAS  PubMed  Google Scholar 

  24. Zhang Y, Lu Y, Zhou H, Lee M, Liu Z, Hassel BA, Hamburger AW: Alterations in cell growth and signaling in ErbB3 binding protein-1 (Ebp1) deficient mice. BMC Cell Biol 2008, 9: 69. 10.1186/1471-2121-9-69

    Article  PubMed Central  PubMed  Google Scholar 

  25. Lee SH, Baek K, Dominguez R: Large nucleotide-dependent conformational change in Rab28. FEBS Lett 2008, 582: 4107–4111. 10.1016/j.febslet.2008.11.008

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Greenaway J, Gentry PA, Feige JJ, LaMarre J, Petrik JJ: Thrombospondin and vascular endothelial growth factor are cyclically expressed in an inverse pattern during bovine ovarian follicle development. Biol Reprod 2005, 72: 1071–1078. 10.1095/biolreprod.104.031120

    Article  CAS  PubMed  Google Scholar 

  27. Dong X, Han S, Zylka MJ, Simon MI, Anderson DJ: A diverse family of GPCRs expressed in specific subsets of nociceptive sensory neurons. Cell 2001, 106: 619–632. 10.1016/S0092-8674(01)00483-4

    Article  CAS  PubMed  Google Scholar 

  28. Massrieh W, Derjuga A, Doualla-Bell F, Ku CY, Sanborn BM, Blank V: Regulation of the MAFF transcription factor by proinflammatory cytokines in myometrial cells. Biol Reprod 2006, 74: 699–705. 10.1095/biolreprod.105.045450

    Article  CAS  PubMed  Google Scholar 

  29. Kazanskaya O, Ohkawara B, Heroult M, Wu W, Maltry N, Augustin HG, Niehrs C: The Wnt signaling regulator R-spondin 3 promotes angioblast and vascular development. Development 2008, 135: 3655–3664. 10.1242/dev.027284

    Article  CAS  PubMed  Google Scholar 

  30. Perlman S, Bouquin T, Hazel B, Jensen TH, Schambye HT, Knudsen S, Okkels JS: Transcriptome analysis of FSH and FSH variant stimulation in granulosa cells from IVM patients reveals novel regulated genes. Mol Hum Reprod 2006, 12: 135–144. 10.1093/molehr/gah247

    Article  CAS  PubMed  Google Scholar 

  31. Sankaran VG, Menne TF, Xu J, Akie TE, Lettre G, Van Handel B, Mikkola HK, Hirschhorn JN, Cantor AB, Orkin SH: Human fetal hemoglobin expression is regulated by the developmental stage-specific repressor BCL11A. Science 2008, 322: 1839–1842. 10.1126/science.1165409

    Article  CAS  PubMed  Google Scholar 

  32. Chen AQ, Wang ZG, Xu ZR, Yu SD, Yang ZG: Analysis of gene expression in granulosa cells of ovine antral growing follicles using suppressive subtractive hybridization. Anim Reprod Sci 2009, 115: 39–48. 10.1016/j.anireprosci.2008.10.022

    Article  CAS  PubMed  Google Scholar 

  33. Bedard J, Brule S, Price CA, Silversides DW, Lussier JG: Serine protease inhibitor-E2 (SERPINE2) is differentially expressed in granulosa cells of dominant follicle in cattle. Mol Reprod Dev 2003, 64: 152–165. 10.1002/mrd.10239

    Article  CAS  PubMed  Google Scholar 

  34. MacLean JA, Rao MK, Doyle KM, Richards JS, Wilkinson MF: Regulation of the Rhox5 homeobox gene in primary granulosa cells: preovulatory expression and dependence on SP1/SP3 and GABP. Biol Reprod 2005, 73: 1126–1134. 10.1095/biolreprod.105.042747

    Article  CAS  PubMed  Google Scholar 

  35. Ravel-Chapuis A, Vandromme M, Thomas JL, Schaeffer L: Postsynaptic chromatin is under neural control at the neuromuscular junction. Embo J 2007, 26: 1117–1128. 10.1038/sj.emboj.7601572

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  36. Wu Y, Ghosh S, Nishi Y, Yanase T, Nawata H, Hu Y: The orphan nuclear receptors NURR1 and NGFI-B modulate aromatase gene expression in ovarian granulosa cells: a possible mechanism for repression of aromatase expression upon luteinizing hormone surge. Endocrinology 2005, 146: 237–246. 10.1210/en.2004-0889

    Article  CAS  PubMed  Google Scholar 

  37. Carletti MZ, Christenson LK: Rapid effects of LH on gene expression in the mural granulosa cells of mouse periovulatory follicles. Reproduction 2009, 137: 843–855. 10.1530/REP-08-0457

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  38. Mani AM, Fenwick MA, Cheng Z, Sharma MK, Singh D, Wathes DC: IGF1 induces up-regulation of steroidogenic and apoptotic regulatory genes via activation of phosphatidylinositol-dependent kinase/AKT in bovine granulosa cells. Reproduction 2010, 139: 139–151. 10.1530/REP-09-0050

    Article  CAS  PubMed  Google Scholar 

  39. Goto M, Iwase A, Ando H, Kurotsuchi S, Harata T, Kikkawa F: PTEN and Akt expression during growth of human ovarian follicles. J Assist Reprod Genet 2007, 24: 541–546. 10.1007/s10815-007-9156-3

    Article  PubMed Central  PubMed  Google Scholar 

  40. Choi JH, Gilks CB, Auersperg N, Leung PC: Immunolocalization of gonadotropin-releasing hormone (GnRH)-I, GnRH-II, and type I GnRH receptor during follicular development in the human ovary. J Clin Endocrinol Metab 2006, 91: 4562–4570. 10.1210/jc.2006-1147

    Article  CAS  PubMed  Google Scholar 

  41. Metallinou C, Asimakopoulos B, Schroer A, Nikolettos N: Gonadotropin-releasing hormone in the ovary. Reprod Sci 2007, 14: 737–749. 10.1177/1933719107310707

    Article  CAS  PubMed  Google Scholar 

  42. Shi F, Stewart RL Jr, Perez E, Chen JY, LaPolt PS: Cell-specific expression and regulation of soluble guanylyl cyclase alpha 1 and beta 1 subunits in the rat ovary. Biol Reprod 2004, 70: 1552–1561. 10.1095/biolreprod.103.025510

    Article  CAS  PubMed  Google Scholar 

  43. Ishimaru RS, Leung K, Hong L, LaPolt PS: Inhibitory effects of nitric oxide on estrogen production and cAMP levels in rat granulosa cell cultures. J Endocrinol 2001, 168: 249–255. 10.1677/joe.0.1680249

    Article  CAS  PubMed  Google Scholar 

  44. Masuda M, Kubota T, Karnada S, Aso T: Nitric oxide inhibits steroidogenesis in cultured porcine granulosa cells. Mol Hum Reprod 1997, 3: 285–292. 10.1093/molehr/3.4.285

    Article  CAS  PubMed  Google Scholar 

  45. Mayerhofer A, Fritz S, Grunert R, Sanders SL, Duffy DM, Ojeda SR, Stouffer RL: D1-Receptor, DARPP-32, and PP-1 in the primate corpus luteum and luteinized granulosa cells: evidence for phosphorylation of DARPP-32 by dopamine and human chorionic gonadotropin. J Clin Endocrinol Metab 2000, 85: 4750–4757. 10.1210/jc.85.12.4750

    Article  CAS  PubMed  Google Scholar 

  46. Shirota M, Kurohmaru M, Hayashi Y, Shirota K, Kelly PA: Detection of in situ localization of long form prolactin receptor messenger RNA in lactating rats by biotin-labeled riboprobe. Endocr J 1995, 42: 69–76. 10.1507/endocrj.42.69

    Article  CAS  PubMed  Google Scholar 

  47. Navickis RJ, Jones PB, Hsueh AJ: Modulation of prolactin receptors in cultured rat granulosa cells by FSH, LH and GnRH. Mol Cell Endocrinol 1982, 27: 77–88. 10.1016/0303-7207(82)90064-8

    Article  CAS  PubMed  Google Scholar 

  48. Russell DL, Richards JS: Differentiation-dependent prolactin responsiveness and stat (signal transducers and activators of transcription) signaling in rat ovarian cells. Mol Endocrinol 1999, 13: 2049–2064. 10.1210/me.13.12.2049

    Article  CAS  PubMed  Google Scholar 

  49. Hori S, Nomura T, Sakaguchi S: Control of regulatory T cell development by the transcription factor Foxp3. Science 2003, 299: 1057–1061. 10.1126/science.1079490

    Article  CAS  PubMed  Google Scholar 

  50. Wing K, Onishi Y, Prieto-Martin P, Yamaguchi T, Miyara M, Fehervari Z, Nomura T, Sakaguchi S: CTLA-4 control over Foxp3+ regulatory T cell function. Science 2008, 322: 271–275. 10.1126/science.1160062

    Article  CAS  PubMed  Google Scholar 

  51. Zheng Y, Manzotti CN, Burke F, Dussably L, Qureshi O, Walker LS, Sansom DM: Acquisition of suppressive function by activated human CD4+ CD25- T cells is associated with the expression of CTLA-4 not FoxP3. J Immunol 2008, 181: 1683–1691.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  52. Ezer S, Bayes M, Elomaa O, Schlessinger D, Kere J: Ectodysplasin is a collagenous trimeric type II membrane protein with a tumor necrosis factor-like domain and co-localizes with cytoskeletal structures at lateral and apical surfaces of cells. Hum Mol Genet 1999, 8: 2079–2086. 10.1093/hmg/8.11.2079

    Article  CAS  PubMed  Google Scholar 

  53. Wisniewski SA, Kobielak A, Trzeciak WH, Kobielak K: Recent advances in understanding of the molecular basis of anhidrotic ectodermal dysplasia: discovery of a ligand, ectodysplasin A and its two receptors. J Appl Genet 2002, 43: 97–107.

    PubMed  Google Scholar 

  54. Princivalle M, Hasan S, Hosseini G, de Agostini AI: Anticoagulant heparan sulfate proteoglycans expression in the rat ovary peaks in preovulatory granulosa cells. Glycobiology 2001, 11: 183–194. 10.1093/glycob/11.3.183

    Article  CAS  PubMed  Google Scholar 

  55. de Agostini AI, Dong JC, de Vantery Arrighi C, Ramus MA, Dentand-Quadri I, Thalmann S, Ventura P, Ibecheole V, Monge F, Fischer AM, et al.: Human follicular fluid heparan sulfate contains abundant 3-O-sulfated chains with anticoagulant activity. J Biol Chem 2008, 283: 28115–28124. 10.1074/jbc.M805338200

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  56. Bastida CM, Cremades A, Castells MT, Lopez-Contreras AJ, Lopez-Garcia C, Tejada F, Penafiel R: Influence of ovarian ornithine decarboxylase in folliculogenesis and luteinization. Endocrinology 2005, 146: 666–674. 10.1210/en.2004-1004

    Article  CAS  PubMed  Google Scholar 

  57. Stocco DM: Steroidogenic acute regulatory (StAR) protein: what's new? Bioessays 1999, 21: 768–775. 10.1002/(SICI)1521-1878(199909)21:9<768::AID-BIES8>3.0.CO;2-2

    Article  CAS  PubMed  Google Scholar 

  58. Argov N, Sklan D: Expression of mRNA of lipoprotein receptor related protein 8, low density lipoprotein receptor, and very low density lipoprotein receptor in bovine ovarian cells during follicular development and corpus luteum formation and regression. Mol Reprod Dev 2004, 68: 169–175. 10.1002/mrd.20072

    Article  CAS  PubMed  Google Scholar 

  59. Pannetier M, Fabre S, Batista F, Kocer A, Renault L, Jolivet G, Mandon-Pepin B, Cotinot C, Veitia R, Pailhoux E: FOXL2 activates P450 aromatase gene transcription: towards a better characterization of the early steps of mammalian ovarian development. J Mol Endocrinol 2006, 36: 399–413. 10.1677/jme.1.01947

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We would like to thank the following for contributing to this study: the College of Veterinary Medicine Research Council at Colorado State University (CSU) for support of the microarray study; the CSU Affymetrix Core Facility; the NIH for awarding a Minority Investigator Supplement to KWE while training in Dr. Colin Clay's Laboratory at CSU and for awarding RIMI Grant 5 P20MD000216 that supported KWE and JME at TAMUK; the Ovarian Kaleidoscope Database which was supported by the Specialized Cooperative Centers Program in Reproduction and Infertility Research, NICHD, NIH.

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Correspondence to Kenneth W Escudero.

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The authors declare that they have no competing interests.

Authors' contributions

JME designed and performed the transient transfection studies and helped develop the manuscript. JLH performed the microarray data analysis and revised the manuscript.

CMC cloned the murine GnRHR promoter, cloned the murine Foxl2 gene, and revised the manuscript. KWE designed and performed the microarray study, performed data analysis, and developed the manuscript. All authors have read and approved the final manuscript.

Jean M Escudero and Kenneth W Escudero contributed equally to this work.

Electronic supplementary material

13048_2009_34_MOESM1_ESM.XLS

Additional file 1: Pairwise analysis of differentially expressed genes in KK1 cells. Group NA: mock vs. VP16. (XLS 3 MB)

Additional file 2: Pairwise analysis of differentially expressed genes in KK1 cells. Group NR: mock vs. Mad. (XLS 3 MB)

Additional file 3: Pairwise analysis of differentially expressed genes in KK1 cells. Group RA: Mad vs. VP16. (XLS 3 MB)

13048_2009_34_MOESM4_ESM.XLS

Additional file 4: Comprehensive listing of potential Foxl2 target genes of known function generated by microarray analysis. Group designations: (-) decreased fold expression; (+) increased fold expression. NA = Normal: Activated (mock transfected compared to Foxl2-VP16 transfected). NR = Normal: Repressed (mock transfected compared Foxl2-Mad transfected). RA = Repressed: Activated (Foxl2-Mad compared to Foxl2-VP16). E16 = mouse embryonic stage day 16. E13 = mouse embryonic stage day 13. P0 = mouse birth stage. (XLS 169 KB)

13048_2009_34_MOESM5_ESM.XLS

Additional file 5: Combined analysis of differentially expressed genes in KK1 cells. Normal: mock transfected. Activated: Foxl2-VP16 transfected. Repressed: Fodl2-Mad transfected. (XLS 8 MB)

Additional file 6: Analysis of differentially expressed genes in E13. Wild type vs. Foxl2 knockout. (XLS 8 MB)

Additional file 7: Analysis of differentially expressed genes in E16. Wild type vs. Foxl2 knockout. (XLS 8 MB)

Additional file 8: Analysis of differentially expressed genes in P0. Wild type vs. Foxl2 knockout. (XLS 8 MB)

13048_2009_34_MOESM9_ESM.XLS

Additional file 9: Comparison of differentially expressed genes in KK1 cells to E13, E16, and P0. Sheet 1 lists 225 genes common to KK1 and E13. Sheet 2 lists 211 genes common to KK1 and E16. Sheet 3 lists 325 genes common to KK1 and P0. Sheet 4 lists 5 genes common to all 3 groups. Sheet 5 lists 22 common genes. Sheet 6 lists 29 common genes. Sheet 7 lists 21 common genes. Sheet 8 lists 155 genes unique to KK1 & E16. Sheet 9 lists 177 genes unique to KK1 & E13. Sheet 10 lists 270 genes unique to KK1 & P0. (XLS 246 KB)

13048_2009_34_MOESM10_ESM.XLS

Additional file 10: Potential Foxl2 target genes validated by comparison to data from other microarray studies. Gene Functions were obtained from the Ovarian kaleidoscope data base1, NCBI RefSeq2, and UniProtKB/Swiss-Prot3. All genes listed that do not have an asterisk after the gene symbol are common to our study and the in vivo in mouse ovary study only [7]. Genes denoted by a single asterisk* are common to our study and the human KGN cell line only [6]. Those indicated by ** are common to all three studies. The StAR*** and GnRHR*** genes were found to be Foxl2 regulated in our study and do not appear in the KGN [6] or in vivo [7] studies. Fold change numbers indicate relative gene expression levels. Group designations: (-) decreased fold expression; (+) increased fold expression. NA = Normal: Activated (mock transfected compared to Foxl2-VP16 transfected). NR = Normal: Repressed (mock transfected compared Foxl2-Mad transfected). RA = Repressed: Activated (Foxl2-Mad compared to Foxl2-VP16). E16 = mouse embryonic stage day 16. E13 = mouse embryonic stage day 13. P0 = mouse birth stage. (XLS 239 KB)

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Escudero, J.M., Haller, J.L., Clay, C.M. et al. Microarray analysis of Foxl2 mediated gene regulation in the mouse ovary derived KK1 granulosa cell line: Over-expression of Foxl2 leads to activation of the gonadotropin releasing hormone receptor gene promoter. J Ovarian Res 3, 4 (2010). https://doi.org/10.1186/1757-2215-3-4

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