Posters - Gene Expression, Proteomics, Metabolomics and other OMICs

• Expression Profiling and Pathway Analysis of Mouse Alport Glomeruli.
  ( Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, KS )
• Affymetrix and Illumina, a toxicogenomic based interplatform interplatform comparison.
  ( Molecular Toxicology, Institute of Toxicology, Merck Serono Research, 64271 Darmstadt, Germany )
• Networking genes with proteins: finding relations between proteomic and gene expression datasets using topology of the global protein interaction network.
• Gene Expression Profiling in NF1 Knock-out Mice Suggests Link Between Neurofibromin, Kinesins, and Axonal Transport
• Identification Of Brain Ischemia-Induced Changes In Protein Profiles By Quantitative Proteomics
• Gene Expression Profiling in Lung Tissues from Mice Exposed to Cigarette Smoke, Lipopolysaccharide, or Smoke Plus Lipopolysaccharide by Inhalation
• Value of a Negative Control Compound to Isolate Transcriptional Profiles Attributable to the Active Moiety of an Agent with Toxic Properties
• Full-Genome Analysis of Alternative Splicing in Mouse Liver After Hepatotoxicant Exposure
• Comparison of HepG2 and HepaRG cell lines exposed to different carcinogens by gene expression analyses
• Computational Prediction of the Human Metabolism of Hepatotoxic Drugs
• Identifying Toxicity Signatures and Potential Modes of Action from Chemical Screening Data
• DNA Microarray profiling of BRCA1 and BRCA2 deficient human tumors and cell-lines using a breast specific platform to identify a biomarker of DNA repair deficiency
• Molecular Subtyping of Colon Cancer From FFPE Tissue
• Integrated analysis of genomic and proteomic data reveals key role of growth factor signaling network in prostate cancer cells
• Using Genome-Wide Association Studies (GWAS) of Parkinson’s to Identify Biomarkers for other Aging Diseases: A Pathway Analysis and Biomarker Workflow Approach
• Bioinformatics Analysis of OMICs Data for CFTR Trafficking and Cystic Fibrosis Inflammation Identifies Possible Biomarkers and a Link Between the Pathways