title: Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.
abstract: BACKGROUND
  Global protein interaction network (interactome) analysis provides an effective way to understand the relationships between genes. Through this approach, it was demonstrated that the essential genes in yeast tend to be highly connected as well as connected to other highly connected genes. This is in contrast to the genes that are not essential, which share neither of these properties. Using a similar interactome-transcriptome approach, the topological features in the interactome of differentially expressed genes in lung squamous cancer tissues are assessed.
  
  
  RESULTS
  This analysis reveals that the genes that are differentially elevated, as obtained from the microarray gene profiling data, in cancer are well connected, whereas the suppressed genes and randomly selected ones are less so. These results support the notion that a topological analysis of cancer genes using protein interaction data will allow the placement of the list of genes, often of the disparate nature, into the global, systematic context of the cell. The result of this type of analysis may provide the rationale for therapeutic targets in cancer treatment.
authors.affiliation: Center for Comparative Respiratory Biology and Medicine and Division of Pulmonary/Critical Care Medicine, University of California Davis, CA 95616, USA. swachi@ucdavis.edu
authors.forename: Shinichiro
authors.initials: S
authors.lastname: Wachi
authors.forename: Ken
authors.initials: K
authors.lastname: Yoneda
authors.forename: Reen
authors.initials: R
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D003201:Computers; D030562:Databases, Protein; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D006801:Humans; D008168:Lung / Q000473:pathology; D008175:Lung Neoplasms / Q000235:genetics* / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis; D025941:Protein Interaction Mapping; D020543:Proteome; D012333:RNA, Messenger / Q000378:metabolism*; D012984:Software; D014158:Transcription, Genetic
chemical_list: D020543:Proteome; D012333:RNA, Messenger