Identification of differently expressed genes in leukemia using multiple microarray datasets

Abstract

ABSTRACT. The purpose of this study was to identify differentially expressed genes and analyze biological processes related to leukemia. A meta-analysis was performed using the Rank Product package of Gene Expression Omnibus datasets for leukemia. Next, Gene Ontology-enrichment analysis and pathway analysis were performed using the Gene Ontology website and Kyoto Encyclopedia of Genes and Genomes. A protein-protein interaction network was constructed using the Cytoscape software. Using the Rank Product package for leukemia, we identified a total of 1294 differentially expressed genes, 357 of which were not involved in individual differentially expressed genes. Gene Ontology-enrichment analyses showed that these 357 genes were enriched in biological processes such as mRNA metabolism, RNA splicing, and mRNA processing. Pathwayenrichment analysis showed that the genes were involved in the intestinal immune network for IgA production, endocytosis, and the mitogen-activated protein kinase signaling pathway. The proteinprotein interaction network indicated that HRAS, CD44, STAT1, SMAD2, and COPS5 were important in many interactions. Our study revealed genes that were consistently differentially expressed Differentially expressed genes in leukemia in leukemia, as well as the biological pathways and protein-protein interaction network associated with these genes.