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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Detalhes bibliográficos

Principais autores:	Xiaolin Zhu, Yanhua Han, Yuenan Feng, Yuanli Shan, Chang Liu, Kexin Wang, Xiaoke Li, Shidi Zhang, Yaguang Han
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-01-01
coleção:	Scientific Reports
Assuntos:	Polycystic ovary syndrome Pseudotime trajectory WGCNA Bioinformatics
Acesso em linha:	https://doi.org/10.1038/s41598-024-81110-w
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