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Dataset Information

Identification and validation of senescence-related genes in polycystic ovary syndrome.


ABSTRACT:

Background

Polycystic ovary syndrome (PCOS) is an exceedingly intractable issue affecting female endocrine and reproductive health. However, the etiology and intricate pathological mechanisms of PCOS remain unclear. Nowadays, aging was found to share multiple common pathological mechanisms with PCOS, which causes probing into the pathogenesis of PCOS from senescence. However, no bioinformatics analyses have specifically focused on connection between PCOS and ovarian aging.

Methods

Differentially expressed aging-related genes in PCOS were identified and then analyzed using function enrichment method. Hub genes were determined based on multiple algorithms, and expression validation of hub genes was performed in both datasets and experiments (human granulosa-like tumor cell lin

SUBMITTER: Jiang D 

PROVIDER: S-EPMC10770899 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature