Identification of novel key genes and signaling pathways in hypertrophic cardiomyopathy: evidence from bioinformatics and next generation sequencing data analysis DOI Open Access
Basavaraj Vastrad, Chanabasayya Vastrad

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Abstract Hypertrophic cardiomyopathy (HCM) is a global health problem characterized by left ventricle become thick and stiff with effect of indication including chest pain, fluttering, fainting shortness breath. In this investigation, we aimed to identify diagnostic markers analyzed the therapeutic potential essential genes. Next generation sequencing (NGS) dataset GSE180313 was obtained from Gene Expression Omnibus (GEO) database used differentially expressed genes (DEGs) in HCM. DEGs were screened using DESeq2 Rbioconductor tool. Then, Ontology (GO) REACTOME pathway enrichment analyses performed. Moreover, protein-protein interaction (PPI) network constructed, module analysis Next, miRNA-hub gene regulatory TF-hub constructed analyzed. Finally, values hub assessed receiver operating characteristic (ROC) curve analysis. By performing analysis, total 958 (479 up regulated 479 down genes) successfully identified GSE180313, respectively. GO revealed that functions signaling pathways significantly enriched response stimulus, multicellular organismal process, metabolism extracellular matrix organization. The FN1, SOX2, TUBA4A, RPS2, TUBA1C, ESR1, SNCA, LCK, PAK1 APLNR might be associated gens FN1 TPM3, together corresponding predicted miRNAs (e.g., hsa-mir-374a-5p hsa-miR-8052), SH3KBP1 ESR1 TFs (e.g PRRX2 STAT3) found correlated This investigation could serve as basis for further understanding molecular pathogenesis targets

Language: Английский

Th17 Cells in Cardiovascular Disease DOI
Ke Yang, Qianqian Liu,

Aodi Fan

et al.

Cell Biochemistry and Function, Journal Year: 2025, Volume and Issue: 43(4)

Published: April 1, 2025

ABSTRACT Recent research has shown a strong link between Th17 cells and their cytokine IL‐17, various cardiovascular diseases such as atherosclerosis, myocardial infarction, myocarditis, arrhythmia. Moreover, cell signalling is likely to be key factor in disease. Here, we summarize recent advances the source, function, regulation, effects of signaling Research on will suggest more specific strategies manipulate these functions. Thus, effective treatment disease future clinical possible.

Language: Английский

Citations

0
Identification of novel key genes and signaling pathways in hypertrophic cardiomyopathy: evidence from bioinformatics and next generation sequencing data analysis DOI Open Access
Basavaraj Vastrad, Chanabasayya Vastrad

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Abstract Hypertrophic cardiomyopathy (HCM) is a global health problem characterized by left ventricle become thick and stiff with effect of indication including chest pain, fluttering, fainting shortness breath. In this investigation, we aimed to identify diagnostic markers analyzed the therapeutic potential essential genes. Next generation sequencing (NGS) dataset GSE180313 was obtained from Gene Expression Omnibus (GEO) database used differentially expressed genes (DEGs) in HCM. DEGs were screened using DESeq2 Rbioconductor tool. Then, Ontology (GO) REACTOME pathway enrichment analyses performed. Moreover, protein-protein interaction (PPI) network constructed, module analysis Next, miRNA-hub gene regulatory TF-hub constructed analyzed. Finally, values hub assessed receiver operating characteristic (ROC) curve analysis. By performing analysis, total 958 (479 up regulated 479 down genes) successfully identified GSE180313, respectively. GO revealed that functions signaling pathways significantly enriched response stimulus, multicellular organismal process, metabolism extracellular matrix organization. The FN1, SOX2, TUBA4A, RPS2, TUBA1C, ESR1, SNCA, LCK, PAK1 APLNR might be associated gens FN1 TPM3, together corresponding predicted miRNAs (e.g., hsa-mir-374a-5p hsa-miR-8052), SH3KBP1 ESR1 TFs (e.g PRRX2 STAT3) found correlated This investigation could serve as basis for further understanding molecular pathogenesis targets

Language: Английский

Citations

0