Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.

ABSTRACT:

Introduction

Heart failure (HF) is a heterogeneous clinical syndrome and affects millions of people all over the world. HF occurs when the cardiac overload and injury, which is a worldwide complaint. The aim of this study was to screen and verify hub genes involved in developmental HF as well as to explore active drug molecules.

Methods

The expression profiling by high throughput sequencing of GSE141910 dataset was downloaded from the Gene Expression Omnibus (GEO) database, which contained 366 samples, including 200 heart failure samples and 166 non heart failure samples. The raw data was integrated to find differentially expressed genes (DEGs) and were further analyzed with bioinformatics analysis. Gene ontology (GO) and REACTOME enrichment analyses were performed via ToppG

SUBMITTER: Kolur V 

PROVIDER: S-EPMC8256614 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature