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2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences
Cluster analysis of genome-wide expression differences in disease-unaffected ileal mucosa in inflammatory bowel diseases
Orlando, FL, USA
February 03-February 05
ISBN: 978-1-61284-851-8
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.
Index Terms:
proteins,cellular biophysics,diseases,DNA,genetics,genomics,medical computing,molecular biophysics,molecular configurations,principal component analysis,gene expression profiles,cluster analysis,genome-wide expression,disease-unaffected ileal mucosa,inflammatory bowel diseases,whole human genome expression profiling,RNA,ulcerative colitis,microarray significance analysis,principal component analysis,PCA,gene-probe clusters,pathogenic changes,ingenuity pathway analysis,Paneth cell antimicrobial peptides,organized lymphoid structures,nuclear receptor signaling,xenobiotic metabolism,molecular phylogenetic 16S rRNA sequence analysis,DNA,Diseases,Biochemistry,Probes,Surgery,Input variables,Genomics,16S rRNA sequence analysis,Crohn's disease,ulcerative colitis,microarray,dimension reduction,cluster analysis
Citation:
"Cluster analysis of genome-wide expression differences in disease-unaffected ileal mucosa in inflammatory bowel diseases," iccabs, pp.220-225, 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011
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