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Dataset Information

Transcriptomics-based identification of lysine crotonylation-related biomarkers in pre-eclampsia.


ABSTRACT:

Background

Lysine crotonylation has been implicated in the pathogenesis of preeclampsia (PE). However, the underlying mechanisms remain unclear. This study aimed to identify crotonylation-related biomarkers in PE through bioinformatics analysis.

Methods

Publicly available datasets, including GSE48424 and GSE149440, were utilized in this study. Candidate biomarkers were identified by intersecting differentially expressed genes (DEGs) from differential expression analysis with key module genes obtained through weighted gene co-expression network analysis (WGCNA). Biomarkers were further refined using expression analysis and machine learning techniques. Functional analysis, immune infiltration analysis, methylation modifications, and construction of molecular regulatory network

SUBMITTER: Li J 

PROVIDER: S-EPMC12490086 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature