1. Screening of key genes related to M6A methylation in patients with heart failure
- Author
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Zelan Wu, Wupeng Liu, Xiaoyun Si, and Jinfeng Liang
- Subjects
Heart failure ,N6-methyladenosine methylation ,Bioinformatics ,Gene Screening ,Immune cells ,Rank-sum test ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Objective This study aims to identify m6A methylation-related and immune cell-related key genes with diagnostic potential for heart failure (HF) by leveraging various bioinformatics techniques. Methods The GSE116250 and GSE141910 datasets were sourced from the Gene Expression Omnibus (GEO) database. Correlation analysis was conducted between differentially expressed genes (DEGs) in HF and control groups, alongside differential m6A regulatory factors, to identify m6A-related DEGs (m6A-DEGs). Subsequently, candidate genes were narrowed down by intersecting key module genes derived from weighted gene co-expression network analysis (WGCNA) with m6A-DEGs. Key genes were then identified through the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. Correlation analyses between key genes and differentially expressed immune cells were performed, followed by the validation of key gene expression levels in public datasets. To ensure clinical applicability, five pairs of blood samples were collected for quantitative real-time fluorescence PCR (qRT-PCR) validation. Results A total of 93 m6A-DEGs were identified (|COR| > 0.6, P
- Published
- 2024
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