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Transcriptomes of mesonephros- vs. ovary-derivd Gli1+ cells

ABSTRACT: This goal of this microarray analysis is to determine whether the mesonephros-derived theca cells exhibt a different gene expression profile from that of the whole theca cell population

ORGANISM(S): Mus musculus

PROVIDER: GSE66104 | GEO | 2015/04/28

SECONDARY ACCESSION(S): PRJNA275885

REPOSITORIES: GEO

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Transcriptomes of mesonephros- vs. ovary-derivd Gli1+ cells

Project description:This goal of this microarray analysis is to determine whether the mesonephros-derived theca cells exhibt a different gene expression profile from that of the whole theca cell population The mesonephros-derived (n=3, Tamoxifen at E12.5, E14.5 and E16.5) and the neonatal ovary-derived Gli1-positive cells (n=3 Tamoxifen at P1-3 via lactating dams), were isolated from the adult ovaries of Gli1-CreERT2; Rosa-LSL-tdTomato mice at 2 months of age and were sorted by FACS

2015-04-28 | E-GEOD-66104 | biostudies-arrayexpress

Transcription profiling of 13.5dpc embryonic gonad/mesonephros from male Mrotm1H/Mrotm1H mice vs male wild type littermates

Project description:Direct comparison of gene expression in 13.5dpc embryonic gonad/mesonephros between male Mrotm1H/Mrotm1H mice and male wild-type littermates. Two independent pools of 10 gonads (5 mice) were compared on 4 microarrays (two colourswaps).

2007-01-09 | E-MEXP-527 | biostudies-arrayexpress

Single-cell RNA sequencing of VE-Cadherin+ cells isolated from mouse E10.5 aorta-gonad-mesonephros region.

Project description:The aim of this experiment was to investigate cellular heterogeneity of VE-Cadherin+ cells isolated from mouse E10.5 aorta-gonad-mesonephros region.

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Dissecting the fate of Foxl2-expressing cells in ovary development using lineage tracing and Single-Cell Transcriptomics

Project description:Gonad somatic cells acquire sex-specific fates during sex determination. In XX gonad, a subset of somatic cells expresses Foxl2 after sex determination which are considered as the progenitor of granulosa cells. However, whether these cells also contribute to other cell type at later developmental stage is unknown. In the present study, the cell fate of Foxl2-expressing cells in fetal ovaries was analyzed by lineage tracing and signal-cell transcriptomics. We found that Foxl2-expressing cells gave rise to three cell types at later developmental stage, including granulosa cells, theca-interstitial cells, and stromal cells. Series single-cell RNA sequencing revealed that Foxl2-positive cells were divided into two clusters at P0. One group further differentiated into granulosa cells and theca cells at P14. Another group was classified as stromal cell lineage, then a small portion of them further differentiated into 3β-HSD-positive interstitial cells. We also found that interstitial cells were CYP17a1-positive, whereas theca cells did express this gene. Our data provide an important resource, at single-cell resolution, for better understanding somatic cell differentiation in ovary development.

2022-11-22 | GSE163879 | GEO

Bulk RNA sequencing of CD44Neg, CD44LoKitNeg, CD44LoKitPos and CD44High populations from mouse Aorta-Gonad-Mesonephros (AGM) region

Project description:The aim of the experiment was to compare newly defined CD44Neg, CD44LoKitNeg, CD44LoKitPos and CD44High populations from mouse Aorta-Gonad-Mesonephros (AGM) region

2019-03-29 | GSE128971 | GEO

Transcriptional Analysis of Lipid Metabolism Controlling Enzymes in Bovine Ovary

Project description:Gene expression was analysed in bovine ovarian folliculr cells : theca, granulosa, cumulus and oocyte

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MicroRNA 130b-3p Regulates DENND1A Variant 2 Expression and Androgen Biosynthesis in Polycystic Ovary Syndrome (PCOS) Theca Cells

Project description:miR deep-sequencing using total RNA was collected from 4th passage theca cells from individual cultures of normal or PCOS theca cells treated with and without 20 micro forskolin for 16h

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Transcription profiling of human theca cells from women with polycystic ovary syndrome and normal theca cells treated with valproate

Project description:Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that affects 5-10% of reproductive aged women. The hallmark characteristic of PCOS is increased ovarian androgen synthesis. Previous studies by our laboratory demonstrated that increased androgen synthesis is a stable biochemical phenotype of PCOS theca cells which are the primary source of ovarian androgen production. The increase in theca cell steroidogenesis was due to an increase in expression of several steroidogenic enzymes including CYP17 and CYP11A but not StAR. Interestingly, the anti-epileptic drug valproic acid induces increased theca cell androgen synthesis and increased CYP17 and CYP11A mRNA levels. In this study we have characterized the gene expression profiles of theca cells obtained from normal or polycystic ovaries which were maintained in the absence (UNT) or presence (VPA) of valproic acid. The data identifed new candidate genes and novel signaling pathways which may contribute to the manifestation of PCOS phenotypes including increased androgen production. The experiments in this study were carried using the Affymetrix U133A and U133B oligonucleotide chips.

2007-08-13 | E-GEOD-1615 | biostudies-arrayexpress

Regulation of granulosa and theca cell transcriptomes during ovarian antral follicle development.

Project description:Coordinated interactions between ovarian granulosa and theca cells are required for female endocrine function and fertility. To elucidate these interactions the regulation of the granulosa and theca cell transcriptomes during bovine antral follicle development were investigated. Granulosa cells and theca cells were isolated from small (<5 mm), medium (5-10 mm), and large (>10 mm) antral bovine follicles. A microarray analysis of 24,000 bovine genes revealed that granulosa cells and theca cells each had gene sets specific to small, medium and large follicle cells. Transcripts regulated (i.e., minimally changed 1.5-fold) during antral follicle development for the granulosa cells involved 446 genes and for theca cells 248 genes. Only 28 regulated genes were common to both granulosa and theca cells. Regulated genes were functionally categorized with a focus on growth factors and cytokines expressed and regulated by the two cell types. Candidate regulatory growth factor proteins mediating both paracrine and autocrine cell-cell interactions include macrophage inflammatory protein (MIP1 beta), teratocarcinoma-derived growth factor 1 (TDGF1), stromal derived growth factor 1 (SDF1; i.e., CXCL12), growth differentiation factor 8 (GDF8), glia maturation factor gamma (GMFG), osteopontin (SPP1), angiopoietin 4 (ANGPT4), and chemokine ligands (CCL 2, 3, 5, and 8). The current study examined granulosa cell and theca cell regulated genes associated with bovine antral follicle development and identified candidate growth factors potentially involved in the regulation of cell-cell interactions required for ovarian function. Keywords: expression analysis, follicle assembly, ovary granulosa cell

2008-05-20 | GSE11495 | GEO

Single-cell RNA-seq of NR5A1-eGFP positive cells of the developing mouse ovary from E10.5 to P6

Project description:Purpose: We performed a time-course single-cell RNA-seq of the somatic cells of the XX mouse gonads to study the cell population heterogeneity and the genetic program during their differentiation. Methods: We collected gonads from NR5A1-eGFP transgenic embryos at six embryonic stages: E10.5, E11.5, E12.5, E13.5, E16.5 and P6. Methods: Cells were capture with the C1 autoprep system and cDNA sequenced with Illumina HiSeq 2000. Results: One cell population was detected at E10.5 and give rise to both Granulosa and steroidogenic precursor cells. A precursor cell population remains undifferentiated at P6 and are likely to be theca cell precursors. Conclusion: Our study is, to date, the most granular transcriptomic study of the developing mouse ovary and provide a more complete model of somatic cell differentiation during female sex determination.

2018-12-31 | GSE119766 | GEO

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