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Small RNA and mRNA sequencing data of human granulosa cells from PCOS women with insulin resistance

ABSTRACT: small RNA and mRNA sequencing data of human granulosa cells from PCOS women with insulin resistance

PROVIDER: PRJNA514719 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8435171.fastq.gz	Fastqsanger.gz
	SRR8435172.fastq.gz	Fastqsanger.gz
	SRR8435173_1.fastq.gz	Fastqsanger.gz
	SRR8435173_2.fastq.gz	Fastqsanger.gz
	SRR8435174_1.fastq.gz	Fastqsanger.gz

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small RNA and mRNA sequencing data of human granulosa cells from PCOS women with insulin resistance

Project description:Our objective was to identify the miRNA and mRNA expression profiles in PCOS women with or without insulin resistance.

2019-01-12 | GSE124968 | GEO

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.

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Alternative Splicing Variants of Androgen Receptor Altered insulin resistance Gene expression in Human Ovarian Granulosa Cell

Project description:Polycystic ovary syndrome (PCOS) is a complex endocrine disorder, of which the morbidity among women aging from 18 to 44 years old can be as high as 10%. Insulin resistance is an important characteristic of PCOS and affects approximately 65-70% of women with PCOS. Our previous work identified two AR alternative splicing variants (ASVs) in human granulosa cells (hGCs), Insertion (Ins) and deletion (Del) isoforms, takes up 62% of PCOS specifically. Both isoforms display altered genome-wide recruited genes and genes expressions which are tightly associated with steroidogenesis, folliculogenesis and ovulation. However, the molecular regulatory mechanism of ASVs in hGCs of insulin resistance needs to be illustrated.

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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)

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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.

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Identification of microRNA profiling of human ovary in PCOS with insulin resistance (pilot study)

Project description:Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. It has become increasingly evident that insulin resistance plays a significant role both as a cause and result of the syndrome. In an effort to investigate further the observed insulin resistance in the ovarian tissue of women with PCOS, we conducted array-based, global miRNA profiling.

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miRNA expression data from lean PCOS adipose vs BMI matched control women

Project description:Why ~70% of women with polycystic ovary syndrome (PCOS) have intrinsic insulin resistance (IR), above and beyond that associated with body mass, including dysfunctional glucose metabolism in adipose tissue (AT), remains a fundamental question. In these experiments, we sought to explore the role of miRNAs in the AT of PCOS and matched controls. Analysis determined that PCOS AT has a differentially expressed miRNA profile, including upregulated miR-93. We observed a significant association between HOMA-IR, and GLUT4 and miR-93 expression in human AT. Our results point to a novel mechanism for regulating insulin-stimulated glucose uptake via miR-93, and demonstrate upregulated miR-93 expression in PCOS, possibly accounting for the IR of the syndrome, and also in non-PCOS women with IR. We performed miRNA microarrays to determine PCOS-related miRNA expression in adipose derived from lean PCOS patients and matched control women. We analyized miRNA from total RNA extracted from subcutaneous (sc) adipose tissue from three lean PCOS patients and three matched control women.

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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

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

2012-11-06 | GSE34526 | GEO