Identifying miRNAs Associated with the Progression of Keloid through mRNA-miRNA Network Analysis and Validating the Targets of miR-29a-3p in Keloid Fibroblasts.

ABSTRACT:

Background

Keloid has brought great trouble to people and currently has no uniformly successful treatment. It is urgent to find new targets to effectively prevent the progress of keloid. The current research mainly identifies the differentially expressed genes (DEGs) in keloid through high-throughput sequencing technology and bioinformatics analysis technology, to screen new therapeutic targets and potential biomarkers. However, due to the different samples, different control groups, and small sample sizes, the sequencing results obtained from different studies are quite different and lack reliability. It is necessary to analyze the existing datasets in a reasonable way.

Methods

Datasets about keloid were filtered in Gene Expression Omnibus (GEO) and ArrayExpress databases a

SUBMITTER: He Y 

PROVIDER: S-EPMC9300312 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature