title: [Bioinformatic analysis of glioma development relative genes].
abstract: OBJECTIVE
  Exploiting the transcriptional regulation mechanism by microarray and bioinformatics is an important method at genomic research field, and it is better than previous methods, by which we can easily analyze the gene expression regulative networks at genomic level. This study was designed to analyze the glioma gene expression profiles by clustering and bioinformatic retrieving to seek some tumor development relative genes that can be cloned for the purpose of function research in the future.
  
  
  METHODS
  Firstly, we analyzed the glioma gene expression profiles of 16,363 genes by clustering, and chose 368 genes which expression differences were greater than 2 folds and the variances of 2 dots were smaller than 0.33. We selected 2 groups of genes that were expressed similarly. One group (11 cases) was upregulated with the glioma development and another (6 cases) was downregulated with the glioma development. Secondly, we determined the genomic information about those 17 genes and exploited their association with the development of gliomas.
  
  
  RESULTS
  Two groups of genes were expressed similarly during the glioma development, one group was upregulated with the development of gliomas, and another was downregulated. Bioinformatic analysis showed that 3 of those genes (X55987, M85085, and AB011097) might be important tumor relative genes.
  
  
  CONCLUSIONS
  By bioinformatics and microarray technologies, we found 3 genes, X55987(EDN, eosinophil-derived neurotoxin), AB011097 (ARTS-1, TNF receptor shedding regulator),and M85085(CStF, cleavage stimulation factor), which might be potential key tumor development relative genes that can be developed for therapy targets in the future.
authors.affiliation: Department of Neurosurgery, The Second Hospital of Suzhou University, Suzhou, Jiangsu, 215004, P.R. China.
authors.forename: Ji-Yong
authors.initials: JY
authors.lastname: Sun
authors.forename: Qiang
authors.initials: Q
authors.lastname: Huang
authors.forename: Ai-Dong
authors.initials: AD
authors.lastname: Wang
authors.forename: Jun
authors.initials: J
authors.lastname: Dong
authors.forename: Nai-Yuan
authors.initials: NY
authors.lastname: Shao
authors.forename: Qing
authors.initials: Q
authors.lastname: Lan
mesh_terms: D000328:Adult; D016000:Cluster Analysis; D019295:Computational Biology; D015536:Down-Regulation; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D005910:Glioma / Q000235:genetics*; D006801:Humans; D009363:Neoplasm Proteins / Q000235:genetics* / Q000502:physiology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D015854:Up-Regulation
chemical_list: D009363:Neoplasm Proteins