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Transcriptomic profile of ovarian tissue of third generation PCOS-like mice versus control animals

ABSTRACT: Transcriptomic profile of ovarian tissue of third generation PCOS-like mice versus control animals

PROVIDER: PRJNA614506 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11393723.fastq.gz	Fastqsanger.gz
	SRR11393724.fastq.gz	Fastqsanger.gz
	SRR11393725.fastq.gz	Fastqsanger.gz
	SRR11393726.fastq.gz	Fastqsanger.gz
	SRR11393727.fastq.gz	Fastqsanger.gz

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Methylome profile of ovarian tissue of third generation PCOS-like mice versus control animals

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Ovarian tissue of third generation PCOS-like mice versus control animals

Project description:Ovarian tissue of third generation PCOS-like mice versus control animals

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Transcriptomic profile of ovarian tissue of third generation PCOS-like mice versus control animals

Project description:The aim of this study is to investigate ovarian transcriptomic changes by RNA-seq between 2 experimental groups, control (CNTR) and the third generation of PCOS-like mice (PAMH F3).

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Methylome profile of ovarian tissue of third generation PCOS-like mice versus control animals

Project description:Methylome profile of ovarian tissue of third generation PCOS-like mice versus control animals

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Ovarian tissue of third generation PCOS-like mice versus control animals

Project description:This SuperSeries is composed of the SubSeries listed below.

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DNA methylation profiling of polycystic ovarian syndrome (PCOS)

Project description:Genome-wide DNA methylation analysis on PCOS using Illumina HumanMethylation 450K BeadChips in 30 PCOS patients and 30 healthy controls Case-control design

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Microarray analysis of NL and PCOS oocytes

Project description:Polycystic ovary syndrome (PCOS), the most common cause of anovulatory infertility, is characterized by increased ovarian androgen production, arrested follicle development, and is frequently associated with insulin resistance. These PCOS phenotypes are associated with exaggerated ovarian responsiveness to FSH and increased pregnancy loss. To examine whether the perturbations in follicle growth and the intrafollicular environment affects development of the mature PCOS oocyte, genes that are differentially expressed in PCOS compared to normal oocytes were defined using microarray analysis. This analysis detected approximately 8000 transcripts. Hierarchical clustering and principal component analysis revealed differences in global gene expression profiles between normal and PCOS oocytes. 374 genes had a statistically-significant increase or decrease in mRNA abundance in PCOS oocytes. A subset of these genes was associated with chromosome alignment and segregation during mitosis and/or meiosis, suggesting that increased mRNAs for these proteins may negatively affect oocyte maturation and/or early embryonic development. Of the 374 differentially expressed genes, 68 contained putative androgen receptor, retinoic acid receptor, and/or peroxisome proliferating receptor gamma binding sites, including 9 of the genes involved in chromosome alignment and segregation. These analyses demonstrated that normal and PCOS oocytes that are morphologically indistinguishable and of high quality exhibit different gene expression profiles. Furthermore, altered mRNA levels in the PCOS oocyte may contribute to defects in meiosis and/or mitosis which might impair oocyte competence for early development and therefore contribute to poor pregnancy outcome in PCOS. Keywords: disease state analysis

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Integrated Single-Cell and Spatial Transcriptomics Reveal Androgen-Driven Disruptions in PCOS Ovarian Microenvironment

Project description:Polycystic Ovary Syndrome (PCOS) is a widespread reproductive disorder with hyperandrogenemia and impaired follicular development. Granulosa cells (GC) and thecal cells (TC) are crucial during follicular development, but their responses to androgen remain poorly understood at subpopulation levels. Using single-cell RNA sequencing and spatial transcriptomics, we analyzed GC and TC subpopulations in Dehydroepiandrosterone-induced PCOS-like mice to determine the ovarian microenvironment characters. We observed gene expression changes in steroidogenesis and cell-cell communications, with significant landscape shifts in subtypes. GC subsets showed an inflammatory GC5 expansion and loss of luteinized GC7, while TC subsets exhibited an increased TC2 population with enhanced lipid metabolism and androgen response. Intercellular signaling was heightened, particularly with amplified ligand-receptor interactions for Ptn-Ncl and Mdk-Ncl. Steroidogenesis was altered for PCOS's steroid hormone abnormalities. These findings revealed androgen impact in the cell subpopulations of follicular microenvironment and underscored the importance of Ptn-Ncl and Mdk-Ncl in PCOS-associated impaired follicular development.

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