Analysis of key genes and related transcription factors in liver fibrosis based on bioinformatic technology.

ABSTRACT:

Objective

To analyze differentially expressed genes (DEGs) related to liver fibrosis, and clarify the key genes and the possible targets in the progression of liver fibrosis.

Methods

Using microarray datasets, GSE38199 was extracted from Gene Expression Omnibus (GEO), and a bioinformatics method was performed to find DEGs and transcription factors related to liver fibrosis.

Results

A total of 58 DEGs were screened out according to GEO2R online analysis tool, which included 49 up-regulated and 9 down-regulated genes. These DEGs were mainly involved in formation with the extracellular region and extracellular exosome through gene ontology (GO) enrichment analysis. Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis showed that DEGs mainly participat

SUBMITTER: Yang X 

PROVIDER: S-EPMC8085816 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature