Identification of crucial pathways and genes linked to endoplasmic reticulum stress in PCOS through combined bioinformatic analysis

Identification of crucial pathways and genes linked to endoplasmic reticulum stress in PCOS through combined bioinformatic analysis

BackgroundPolycystic ovary syndrome (PCOS) is a common endocrine and metabolic condition impacting millions of women worldwide. This study sought to identify granulosa cell endoplasmic reticulum stress (GCERS)-related differentially expressed genes (DEGs) between women with PCOS and those without PC...

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Bibliographic Details
Main Authors: Yan Zhang, Xiujuan Chen, Yuan Lin, Xiaoqing Liu, Xiumei Xiong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Molecular Biosciences
Subjects:
PCOS
ERS
bioinformatic analysis
differentially expressed genes
hub genes
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2024.1504015/full
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