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Issue title: Systems Biology of Biomarkers
Article type: Research Article
Authors: Omenn, Gilbert S. | Yocum, Anastasia K.; | Menon, Rajasree
Affiliations: University of Michigan Center for Computational Medicine and Bioinformatics and Michigan Proteomics Alliance for Cancer Research, Ann Arbor, MI, USA | Departments of Internal Medicine, Human Genetics and School of Public Health, University of Michigan, Ann Arbor, MI, USA | Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
Note: [] Corresponding author: Gilbert S. Omenn, M.D., Ph.D., Professor of Internal Medicine, Human Genetics, Bioinformatics and Public Health; Director, Center for Computational Medicine and Bioinformatics, University of Michigan, 2017F Palmer Commons, 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218, USA. Tel.: +1 734 763 7583; Fax: +1 734 615 6553; E-mail: gomenn@umich.edu
Abstract: Alternative splicing plays an important role in protein diversity without increasing genome size. Earlier thought to be uncommon, splicing appears to affect the majority of genes. Alternative splice variants have been detected at the mRNA level in many diseases. We have designed and demonstrated a discovery pipeline for alternative splice variant (ASV) proteins from tandem MS/MS datasets. We created a modified ECgene database with entries from exhaustive three-frame translation of Ensembl transcripts and gene models from ECgene, with periodic updates. The human database has 14 million entries; the mouse database, 10 million entries. We match MS/MS findings against these potential translation products to identify and quantify known and novel ASVs. In this review, we summarize findings and systems biology implications of biomarker candidates from a mouse model of human pancreatic ductal adenocarcinoma [28] and a mouse model of human Her2/neu-induced breast cancer [27]. The same approach is being applied to human tumors, plasma, and cell line studies of other cancers.
Keywords: Alternative splicing, splice variants, protein isoforms, breast cancer, pancreatic cancer, mouse models, proteomics, protein interaction networks, systems biology
DOI: 10.3233/DMA-2010-0702
Journal: Disease Markers, vol. 28, no. 4, pp. 241-251, 2010
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