Deconvolution at the single-cell level reveals ovarian cell-type-specific transcriptomic changes in PCOS.

ABSTRACT:

Background

Polycystic ovary syndrome (PCOS) is one of the most common reproductive endocrine disorders in females of childbearing age. Various types of ovarian cells work together to maintain normal reproductive function, whose discordance often takes part in the development and progression of PCOS. Understanding the cellular heterogeneity and compositions of ovarian cells would provide insight into PCOS pathogenesis, but are, however, not well understood. Transcriptomic characterization of cells isolated from PCOS cases have been assessed using bulk RNA-seq but cells isolated contain a mixture of many ovarian cell types.

Methods

Here we utilized the reference scRNA-seq data from human adult ovaries to deconvolute and estimate cell proportions and dysfunction of ovarian cell

SUBMITTER: Li S 

PROVIDER: S-EPMC10875798 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature