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
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;
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
DOI :
10.1109/ICCABS.2011.5729884