Unknown

Dataset Information

[Bioinformatics analysis of microRNA comprehensive regulatory network in B- cell acute lymphoblastic leukemia].


ABSTRACT:

Objective

To reveal the involvement of molecules in the pathogenesis of B-cell acute lymphoblastic leukemia (B-ALL) by bioinformatics analyses.

Methods

The microarray data of B-ALL were downloaded from the Gene Expression Omnibus (GEO) database and Qlucore Omics Explorer software was used to screen differentially expressed miRNA. Based on the differentially expressed miRNAs, we predicted the target genes, long non-coding RNAs (lncRNA) and transcription factors (TFs). Then we constructed the miRNAs-centered comprehensive regulatory network. In addition, we performed functional enrichment analysis to analyze the functions of target genes.

Results

Of all the 15 differentially expressed miRNAs, 7 miRNAs were of overexpression, 8 miRNAs underexpressed. From the miRNAs comp

SUBMITTER: Zeng MN 

PROVIDER: S-EPMC7365002 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature