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High-throughput lncRNA sequencing profile of ovarian granulosa cells in polycystic ovary syndrome

ABSTRACT: High-throughput lncRNA sequencing profile of ovarian granulosa cells in polycystic ovary syndrome

PROVIDER: PRJNA724012 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR14308475_1.fastq.gz	Fastqsanger.gz
	SRR14308475_2.fastq.gz	Fastqsanger.gz
	SRR14308476_1.fastq.gz	Fastqsanger.gz
	SRR14308476_2.fastq.gz	Fastqsanger.gz
	SRR14308477_1.fastq.gz	Fastqsanger.gz

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CNOT6L regulates energy metabolism in the ovarian granulosa cells associated with polycystic ovary syndrome.

Project description:As somatic cells surround the oocyte, the endocrine functions exerted by ovarian granulosa cells (GCs) are crucial factors in maintaining follicle development, as oocyte development relies on the provision of energy substrates and cytokines by ovarian granulosa cells. The mRNA deadenylase level of granulosa cells precisely regulates the transcription processes of key molecules involved in oocyte maturation. In this study, we detect the expression level of the deadenylase CNOT6L in PCOS patients' granulosa cells and mouse models' ovaries. We found that the CNOT6L significantly upregulated in the ovarian granulosa cells of both PCOS patients and mouse models. Subsequently, we overexpressed CNOT6L granulosa cells to explore the alternations by which CNOT6L regulates ovarian granulosa cell function. We also found that overexpression of CNOT6L in granulosa cells significantly inhibited the glycolytic pathway, activated the mitochondrial oxidative phosphorylation pathway, led to a reduction in the generation of the intermediate product lactate, and resulted in impaired energy supply to the oocyte. Subsequently, we performed Full-length transcriptome sequencing on the granulosa cells and investigated the impact of mRNA poly(A) level differences on granulosa cell dysfunction in PCOS. This study offers new insights into the role of Cnot6l in regulating energy metabolism homeostasis and its involvement in follicular developmental disorders related to polycystic ovary syndrome.

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Coding and Non-coding gene expression signatures of granulosa cells from Polycystic Ovary Syndrome Patients

Project description:Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women,is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the luteinized granulosa cells obtained from PCOS and healthy control patients.

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Identification of microRNAs involved in polycystic ovary syndrome based on High-throughput sequencing [miRNA-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Few studies have reported that the regulation of miRNAs in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells from the perspective of post-transcriptional level.

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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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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

High-throughput lncRNA sequencing profile of ovarian granulosa cells in polycystic ovary syndrome

Project description:Purpose:To examine different expression profiles of lncRNAs and mRNAs in ovarian granulosa cells (GCs) in PCOS patients and controls Patients:6 GCs samples in each group were subjected to high-thoughput sequencing Results:54,615 lncRNAs and 123,141 mRNAs were detected in this high-thoughput sequencing, and we identified 1049 differential expressed lncRNAs and 3246 mRNAs (fold-change≧2, P-value<0.05). So far, we found 7 lncRNAs and 3mRNAs were validated consistent with sequence profile which were selected, randomly. There is still a large part that we have not verified yet. Conclusion: Our study provides the detail analysis of GCs transcriptomes, generated by high-thoughput technology. This report also provides a framework for comparative investigations of PCOS. Our results revealed the expression of lncRNAs, mRNAs and part of circRNAs in PCOS, after more in-depth research in future, it can provide basic datas for studying the pathogenesis of PCOS.

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Multiomics analysis reveals molecular abnormalities in granulosa cells of women with polycystic ovary syndrome

Project description:Polycystic ovary syndrome (PCOS) is the most common complex endocrine and metabolic disease in women of reproductive age. It is characterized by anovulatory infertility, hormone disorders, and polycystic ovarian morphology. Regarding the importance of granulosa cells (GCs) in the pathogenesis of PCOS, few studies have investigated the etiology at a single “omics” level, such as with an mRNA expression array or methylation profiling assay, but this can provide only limited insights into the biological mechanisms. Here, genome-wide DNA methylation together with lncRNA-miRNA-mRNA profiles were simultaneously detected in GCs of PCOS cases and controls. A total of 3579 lncRNAs, 49 miRNAs, 669 mRNAs, and 890 differentially methylated regions (DMR)-associated genes were differentially expressed between PCOS cases and controls. Pathway analysis indicated that these differentially expressed genes were commonly associated with steroid biosynthesis and metabolism-related signaling, such as glycolysis/gluconeogenesis. In addition, we constructed ceRNA networks and identified some known ceRNA axes, such as lncRNAs-miR-628-5p-CYP11A1/HSD17B7. We also identified many new ceRNA axes, such as lncRNAs-miR-483-5p-GOT2. Interestingly, most ceRNA axes were also closely related to steroid biosynthesis and metabolic pathways. These findings suggest that it is important to systematically consider the role of reproductive and metabolic genes in the pathogenesis of PCOS.

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Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

Project description:Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

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CNOT6L regulates energy metabolism in the ovarian granulosa cells associated with polycystic ovary syndrome.

Project description:CNOT6L regulates energy metabolism in the ovarian granulosa cells associated with polycystic ovary syndrome.

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