Identification of the key genes connected with plasma cells of multiple myeloma using expression profiles.

ABSTRACT:

Objective

To uncover the potential regulatory mechanisms of the relevant genes that contribute to the prognosis and prevention of multiple myeloma (MM).

Methods

Microarray data (GSE13591) were downloaded, including five plasma cell samples from normal donors and 133 plasma cell samples from MM patients. Differentially expressed genes (DEGs) were identified by Student's t-test. Functional enrichment analysis was performed for DEGs using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Transcription factors and tumor-associated genes were also explored by mapping genes in the TRANSFAC, the tumor suppressor gene (TSGene), and tumor-associated gene (TAG) databases. A protein-protein interaction (PPI) network and PPI subnetworks were constructe

SUBMITTER: Zhang K 

PROVIDER: S-EPMC4516193 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature