Identified differently expressed genes in renal cell carcinoma by using multiple microarray datasets running head: differently expressed genes in renal cell carcinoma.

Abstract

OBJECTIVE:

The purpose of this study was to identify differentially expressed genes and analysis biological processes related to renal cell carcinoma.

METHODS:

A meta-analysis was performed using the Rank Product package of Gene Expression Omnibus datasets of renal cell carcinoma. Then Gene Ontology enrichment analyses and pathway analysis were performed based on Gene Ontology website and Kyoto Encyclopedia of Genes and Genomes. Protein-protein interaction network was constructed used Cytoscape software.

RESULTS:

We identified a total of 1992 differentially expressed genes Rank Product package of renal cell carcinoma, 840 of them were not involved in individual DEGs. Gene Ontology enrichment analyses showed that those 840 genes enriched in terms such as response to hormone stimulus, endogenous stimulus, biological adhesion, and cell proliferation. Pathway analysis showed that significant pathways included pyruvate metabolism, glycerolipid metabolism, complement and coagulation cascades and so on. Protein-protein interaction network indicated that MT2A, MYC, CENPF and NEK2 has high degree which participated many interactions.

CONCLUSIONS:

Our study displayed genes that were consistently differentially expressed in renal cell carcinoma, and the biological pathways, protein-protein interaction network associated with those genes.

• Authors: Y Cheng, M Hong, B Cheng
• Journal: European review for medical and pharmacological sciences (Eur Rev Med Pharmacol Sci) Vol. 18 Issue 7 Pg. 1033-40 ( 2014) ISSN: 2284-0729 [Electronic] Italy
• PMID: 24763884 (Publication Type: Journal Article)

Topics

• Carcinoma, Renal Cell (genetics)
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Humans
• Kidney Neoplasms (genetics)
• Oligonucleotide Array Sequence Analysis
• Protein Interaction Maps