Bioinformatics analysis of the gene expression profile of hepatocellular carcinoma: preliminary results.

ABSTRACT:

Aim of the study

To analyse the expression profile of hepatocellular carcinoma compared with normal liver by using bioinformatics methods.

Material and methods

In this study, we analysed the microarray expression data of HCC and adjacent normal liver samples from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes. Then, functional analyses were performed using GenCLiP analysis, Gene Ontology categories, and aberrant pathway identification. In addition, we used the CMap database to identify small molecules that can induce HCC.

Results

Overall, 2721 differentially expressed genes (DEGs) were identified. We found 180 metastasis-related genes and constructed co-occurrence networks. Several significant pathways, including the transformi

SUBMITTER: Li J 

PROVIDER: S-EPMC4829745 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature