Bioinformatics-integrated screening of systemic sclerosis-specific expressed markers to identify therapeutic targets.

ABSTRACT:

Background

Systemic sclerosis (SSc) is a rare autoimmune disease characterized by extensive skin fibrosis. There are no effective treatments due to the severity, multiorgan presentation, and variable outcomes of the disease. Here, integrated bioinformatics was employed to discover tissue-specific expressed hub genes associated with SSc, determine potential competing endogenous RNAs (ceRNA) regulatory networks, and identify potential targeted drugs.

Methods

In this study, four datasets of SSc were acquired. To identify the genes specific to tissues or organs, the BioGPS web database was used. For differentially expressed genes (DEGs), functional and enrichment analyses were carried out, and hub genes were screened and shown in a network of protein-protein interactions (PPI).

SUBMITTER: Jin J 

PROVIDER: S-EPMC10098096 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature