• DocumentCode
    2736946
  • Title

    Cluster analysis of genome-wide expression differences in disease-unaffected ileal mucosa in inflammatory bowel diseases

  • Author

    Zhang, Tianyi ; DeSimone, Robert A. ; Chen, Hongyan ; Hamm, Christina M. ; Yuan, Jeffrey ; Gong, Qing Qing ; Hunt, Steven R. ; Dassopoulos, Themistocles ; Newberry, Rodney D. ; Frank, Daniel N. ; Robertson, Charles E. ; Pace, Norman R. ; Sodergren, Erica

  • Author_Institution
    Dept. of Appl. Math & Stat., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2011
  • fDate
    3-5 Feb. 2011
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    Whole human genome (Agilent) expression profiling was conducted on disease-unaffected ileal RNA collected from the proximal margin of resected ileum from 47 ileal Crohn´s disease (CD), 27 ulcerative colitis (UC) and 25 control patients without inflammatory bowel diseases (IBD). Cluster analysis combined with significance analysis of microarrays (SAM) and principal component analysis (PCA) and was used to reduce the data dimension to identify gene-probe clusters associated with early pathogenic changes in ileal CD and UC. Ingenuity Pathway Analysis (IPA) was used to identify the biological pathways associated with each cluster. We reduced the dimensions of the 26,765 gene probe set to 43 gene-probe clusters. Most of these clusters could be labeled as related to different biological pathways, such as Paneth cell antimicrobial peptides, the formation of organized lymphoid structures, or nuclear receptor signaling and xenobiotic metabolism. Molecular phylogenetic 16S rRNA sequence analysis was completed on 83 DNA samples from the same samples used to generate the gene expression profiles. We conducted an exploratory study to determine if the first principle component (PC1) of these clusters could be linked to specific phyla/subphyla taxa.
  • Keywords
    DNA; cellular biophysics; diseases; genetics; genomics; medical computing; molecular biophysics; molecular configurations; principal component analysis; proteins; DNA; PCA; Paneth cell antimicrobial peptides; RNA; cluster analysis; disease-unaffected ileal mucosa; gene expression profiles; gene-probe clusters; genome-wide expression; inflammatory bowel diseases; ingenuity pathway analysis; microarray significance analysis; molecular phylogenetic 16S rRNA sequence analysis; nuclear receptor signaling; organized lymphoid structures; pathogenic changes; principal component analysis; ulcerative colitis; whole human genome expression profiling; xenobiotic metabolism; Biochemistry; Diseases; Genomics; Input variables; Probes; Surgery; 16S rRNA sequence analysis; Crohn´s disease; cluster analysis; dimension reduction; microarray; ulcerative colitis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-61284-851-8
  • Type

    conf

  • DOI
    10.1109/ICCABS.2011.5729884
  • Filename
    5729884