Identification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysis

Identification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysis

Abstract Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting women of childbearing age, and we aimed to reveal its underlying molecular mechanisms. Gene expression profiles from GSE138518 and GSE155489, and single-cell RNA sequencing (scRNA-seq) data from PRJNA600740 were coll...

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Bibliographic Details
Main Authors: Xiaolin Zhu, Yanhua Han, Yuenan Feng, Yuanli Shan, Chang Liu, Kexin Wang, Xiaoke Li, Shidi Zhang, Yaguang Han
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Polycystic ovary syndrome
Pseudotime trajectory
WGCNA
Bioinformatics
Online Access:https://doi.org/10.1038/s41598-024-81110-w
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https://doi.org/10.1038/s41598-024-81110-w

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