title: Analysis of the gene-protein interaction network in glioma.
abstract: Glioma is the most aggressive type of brain tumor. Great progress has been achieved in glioma treatment, but the protein-protein interaction networks underlining glioma are poorly understood. We identified the protein-protein interaction network for glioma based on gene expression and predicted biological pathways underlying the molecular complexes in the network. Genes involved in glioma were selected from the Online Mendelian Inheritance in Man (OMIM) database. A literature search was performed using the Agilent Literature Search plugin, and Cytoscape was used to establish a protein-protein interaction network. The molecular complexes in the network were detected using the Clusterviz plugin, and pathway enrichment of molecular complexes was performed using DAVID online. There were 378 glioma genes in the OMIM database. The protein-protein interaction network in glioma contained 1814 nodes, 6471 edges, and 8 molecular complexes. There were 17 pathways (false discovery rate <1), which were related to cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, chemokine signaling pathway, oocyte meiosis, progesterone-mediated oocyte maturation, transmembrane transport of small molecules, metabolism of amino acids, and notch signaling pathway, among others. Our results provide a bioinformatic foundation for further studies of the mechanisms of glioma.
authors.affiliation: Cancer Center, WeiFang Traditional Chinese Hospital, Weifang, Shandong, China.
authors.forename: C
authors.initials: C
authors.lastname: Zhou
authors.affiliation: Shangai Municipal Hospital of Traditional Chinese Medicine, Affiliated to Shangai Univerity of Traditional Chinese Medicine, Shanghai, China.
authors.forename: W J
authors.initials: WJ
authors.lastname: Teng
authors.affiliation: Cancer Center, WeiFang Traditional Chinese Hospital, Weifang, Shandong, China.
authors.forename: J
authors.initials: J
authors.lastname: Zhuang
authors.affiliation: Guang'anmen Hospital, China Academy of TCM, Beijing, China.
authors.forename: H L
authors.initials: HL
authors.lastname: Liu
authors.affiliation: Cancer Center, WeiFang Traditional Chinese Hospital, Weifang, Shandong, China.
authors.forename: S F
authors.initials: SF
authors.lastname: Tang
authors.affiliation: Shandong University of Chinese Traditional Medicine, Jinan, Shandong, China.
authors.forename: X J
authors.initials: XJ
authors.lastname: Cao
authors.affiliation: Shandong University of Chinese Traditional Medicine, Jinan, Shandong, China.
authors.forename: B N
authors.initials: BN
authors.lastname: Qin
authors.affiliation: Shandong University of Chinese Traditional Medicine, Jinan, Shandong, China.
authors.forename: C C
authors.initials: CC
authors.lastname: Wang
authors.affiliation: Cancer Center, WeiFang Traditional Chinese Hospital, Weifang, Shandong, China zhongliuyike@163.com.
authors.forename: C G
authors.initials: CG
authors.lastname: Sun
mesh_terms: D001932:Brain Neoplasms / Q000235:genetics* / Q000378:metabolism*; D019295:Computational Biology; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D005910:Glioma / Q000235:genetics* / Q000378:metabolism*; D006801:Humans; D060066:Protein Interaction Maps; D015398:Signal Transduction