Interpreting the molecular and cellular landscape of PCOS through bulk transcriptomics, single-cell transcriptomics and machine learning

Our findings delineate a previously unrecognized cellular landscape and gene signature associated with PCOS, thereby proposing novel diagnostic and therapeutic targets.

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Publication Details

Journal
Journal of Ovarian Research
Published
2026-01-07
DOI
https://doi.org/10.1186/s13048-025-01956-0
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Interpreting the molecular and cellular landscape of PCOS through bulk transcriptomics, single-cell transcriptomics and machine learning

Kangjie Xu, Lijuan Guo, Yanhua Zhang, Ying Li et al.
Journal of Ovarian Research
Single-cell and spatial transcriptomics
article

Interpreting the molecular and cellular landscape of PCOS through bulk transcriptomics, single-cell transcriptomics and machine learning

Kangjie Xu, Lijuan Guo, Yanhua Zhang, Ying Li, Shuyun Zhang, Tongtong Liu
article en

Abstract

Our findings delineate a previously unrecognized cellular landscape and gene signature associated with PCOS, thereby proposing novel diagnostic and therapeutic targets.

Journal of Ovarian ResearchVol. 19(1)
Soochow University (CN), Binzhou People's Hospital (CN), Second Affiliated Hospital of Soochow University (CN), Yancheng Second People's Hospital (CN), Yangzhou University (CN)
Openalex Percentile: Top 95%
Single-cell and spatial transcriptomics
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