biostudies-literatureUnknown15(14)Huang K<h4>Background</h4>Heart failure (HF) remains a huge medical burden worldwide. Pathological cardiac hypertrophy is one of the most significant phenotypes of HF. Several studies have reported that the TGF-β pathway plays a double-sided role in HF. Therefore, TGF-β-related genes (TRGs) may be potential therapeutic targets for cardiac hypertrophy and HF. However, the roles of TRGs in HF at the single-cell level remain unclear.<h4>Method</h4>In this study, to analyze the expression pattern of TRGs during the progress of cardiac hypertrophy and HF, we used three public single-cell RNA sequencing datasets for HF (GSE161470, GSE145154, and GSE161153), one HF transcriptome data (GSE57338), and one hypertrophic cardiomyopathy transcriptome data (GSE141910). Weighted gene co-expression network analyAging7187-7218https://www.ebi.ac.uk/biostudies/studies/S-EPMC10415570biostudies-literatureIdentification of TGF-β-related genes in cardiac hypertrophy and heart failure based on single cell RNA sequencing.PMC10415570Wu LHan LHuang KLi QXu XWu HfalseIdentification of TGF-β-related genes in cardiac hypertrophy and heart failure based on single cell RNA sequencing.<h4>Background</h4>Heart failure (HF) remains a huge medical burden worldwide. Pathological cardiac hypertrophy is one of the most significant phenotypes of HF. Several studies have reported that the TGF-β pathway plays a double-sided role in HF. Therefore, TGF-β-related genes (TRGs) may be potential therapeutic targets for cardiac hypertrophy and HF. However, the roles of TRGs in HF at the single-cell level remain unclear.<h4>Method</h4>In this study, to analyze the expression pattern of TRGs during the progress of cardiac hypertrophy and HF, we used three public single-cell RNA sequencing datasets for HF (GSE161470, GSE145154, and GSE161153), one HF transcriptome data (GSE57338), and one hypertrophic cardiomyopathy transcriptome data (GSE141910). Weighted gene co-expression network analy2023-01-01T00:00:00Z2023 Jul2026-05-29T00:30:13.687Z2025-04-06T08:11:52.53ZS-EPMC104155703749830310.18632/aging.204901