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Analysis of differential gene expression related to steroid metabolism in the granulosa cell transcriptome of PCOS patients based on single-cell level

ABSTRACT: Analysis of differential gene expression related to steroid metabolism in the granulosa cell transcriptome of PCOS patients based on single-cell level

PROVIDER: PRJNA1004622 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR25620218_1.fastq.gz	Fastqsanger.gz
	SRR25620218_2.fastq.gz	Fastqsanger.gz
	SRR25620219_1.fastq.gz	Fastqsanger.gz
	SRR25620219_2.fastq.gz	Fastqsanger.gz
	SRR25620220_1.fastq.gz	Fastqsanger.gz

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Analysis of differential gene expression related to steroid metabolism in the granulosa cell transcriptome of PCOS patients based on single-cell level

Project description:The development of granulosa cells has an impact on the development of pcos. We performed single-cell RNA-seq sequencing (scRNA-seq) of granulosa cells to analyse the heterogeneity of PCOS.

2024-01-11 | GSE240688 | GEO

Genome-wide methylation profiling in granulosa lutein cells of women with polycystic ovary syndrome (PCOS)

Project description:Our study is based on the hypothesis that PCOS can be explained by an integrated, epigenetic model, whereby environmental factors modify the effect of susceptibility genes and influence the clinical heterogeneity that is characteristic of the syndrome during adult life. With the aim to understand the molecular mechanisms underlying PCOS, we report results from a case-control, genome-wide methylation study using human DNA from granulosa lutein cells.

2019-03-01 | E-MTAB-6672 | biostudies-arrayexpress

Identification miRNA expression profiles of human granulosa cells obtained from PCOS patients and control individuals

Project description:The miRNA expression profiles of mural granulosa cells (MGCs) which were obtained from PCOS patients and control individuals were identified and compared.

2016-07-14 | GSE84376 | GEO

IGF2BP2-regulated alternative splicing of NFIC causes excessive granulosa cell proliferation in PCOS [IRIP-seq]

Project description:The expression of IGF2BP2 in GCs from PCOS patients was detected using RT-qPCR and western blot. We captured IGF2BP2-interacting transcripts, global transcriptome together with alternative splicing by RNA immunoprecipitation sequencing (RIP-seq) and RNA sequencing (RNA-seq). KGN cells transfected with IGF2BP2 overexpressing plasmids and nuclear factor 1 C-type (NFIC) siRNAs, were applied to CCK-8, EdU and TUNEL assays. IGF2BP2 was highly expressed in GCs from PCOS patients. As a RBP, it preferentially bound to the 3’and 5’UTRs of mRNAs with GGAC motif and a newly found GAAG motif. The overexpression of IGF2BP2 changed the transcriptome profile of KGN cells. IGF2BP2 functioned to regulate alternative splicing events (ASEs) and promote cell proliferation through inhibiting exon skipping events of NFIC. In conclusion, we demonstrated that IGF2BP2 promotes granulosa cell proliferation via regulating alternative splicing of NFIC in PCOS. The findings help to better understand the roles of IGF2BP2 in the pathogenesis of PCOS.

2022-05-11 | GSE191023 | GEO

IGF2BP2-regulated alternative splicing of NFIC causes excessive granulosa cell proliferation in PCOS [RNA-seq]

2022-05-11 | GSE191022 | GEO

Long noncoding RNA expression profiles in granulosa cells from PCOS patients and women with normal ovarian reserve

Project description:LncRNAs and mRNAs profiling of gonadotropin-stimulated granulosa cells from PCOS patients and controls (women with normal ovarian reserve)

2020-03-05 | GSE95728 | GEO

Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

Project description:Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction. Human granulosa cells were isolated from ovarian aspirates from normal and PCOS women undergoing IVF and for each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.

2012-11-06 | E-GEOD-34526 | biostudies-arrayexpress

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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To compare the transcriptome expression of cumulus granulosa cells between PCOS patients with insulin resistance and women undergoing assisted reproduction for fallopian tube reasons

Project description:Purpose polycystic ovary syndrome (PCOS) is the most common endocrine and metabolic disorder in women of childbearing age. It is characterized by follicular dysplasia and hyperandrogenemia. Insulin resistance plays an important role in the development of PCOS.However, the mechanism of regulation and interaction between insulin resistance and follicle development remains unclear.The aim of this study was to identify differential genes associated with follicle development in cumulus granulosa cells in PCOS patients with insulin resistance compared with controls. Methods In this study, RNA-seq, bioinformatics analysis and reverse transcription qPCR (RT-qPCR) were used to analyze the gene expression in cumulus granulosa cells.A total of seven cDNA libraries were constructed from three PCOS samples and four control samples.3 μg of RNA was used as starting material for each sample.Ribosomal RNA was removed using the Epicentre rigo-zero ™ Gold Kit (Epicentre, Illumina, Madison, WI, USA). Results Compared with the control group, there were 2233 DEGs in the PCOS group, including 1158 up-regulated genes and 1075 down-regulated genes. Some different expression patterns were observed in the two groups.The next series of experiments verified the effect of some genes on oocyte development. Conclusion Our study showed that the differential expression of transcriptome in cumulus granulosa cells could affect the growth, development and maturation of oocytes.Meanwhile, the results of RT-PCR and Elisa showed that the expression of renin angiotensin system was changed in PCOS patients with insulin resistance, and these changes could affect oocyte maturation and excretion through cumulus granulosa cells.

2023-10-01 | GSE216609 | GEO

miRNAs expression profile of the cumulus cell samples with PCOS and non-PCOS

Project description:To reveal microRNAs expression differences in cumulus cells between polycystic ovary syndrome (PCOS) and non-PCOS women. miRNAs expression profile of the cumulus cell samples with PCOS and non-PCOS were determined by Affymetrix miRNA 2.0. Six pooled RNAs from CC samples (three PCOS and three non-PCOS pooled RNAs) were separately analyzed on 6 GeneChip miRNA 2.0 Array (miRBase V15)

2015-04-28 | E-GEOD-68285 | biostudies-arrayexpress