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Dataset Information

Bioinformatics analysis of the role of RNA modification regulators in polycystic ovary syndrome.


ABSTRACT:

Purpose

Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrine disorder affecting women of reproductive age. The pathogenesis of PCOS is influenced by factors such as race, genetics, environment, hyperandrogenemia, hyperinsulinemia, and obesity. However, the molecular mechanisms linking RNA modification and PCOS remain underexplored. This study aims to investigate the potential genetic and molecular pathways connecting RNA modification with PCOS through bioinformatics analyses.

Methods

The GSE34526, GSE5850, and GSE98421 datasets were obtained from the National Center for Biotechnology Information Gene Expression Omnibus database. We identified intersecting differentially expressed genes (DEGs) and RNA modification-related genes within the GSE34526 datas

SUBMITTER: Quan K 

PROVIDER: S-EPMC11400967 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature