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Dataset Information

Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.


ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is the most common liver malignancy worldwide. However, present studies of its multiple gene interaction and cellular pathways still could not explain the initiation and development of HCC perfectly. To find the key genes and miRNAs as well as their potential molecular mechanisms in HCC, microarray data GSE22058, GSE25097, and GSE57958 were analyzed.

Methods

The microarray datasets GSE22058, GSE25097, and GSE57958, including mRNA and miRNA profiles, were downloaded from the GEO database and were analyzed using GEO2R. Functional and pathway enrichment analyses were performed using the DAVID database, and the protein-protein interaction (PPI) network was constructed using the Cytoscape software. Finally, miRDB was applied to predict th

SUBMITTER: Mou T 

PROVIDER: S-EPMC5356276 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature