Proteomics-based investigations of animal models of disease

• Published in: Proteomics. Clinical applications Vol. 2; no. 5; pp. 638 - 653
• Main Authors: Bousette, Nicolas, Gramolini, Anthony O., Kislinger, Thomas
• Format: Journal Article
• Language: English
• Published: Weinheim WILEY-VCH Verlag 01-05-2008; WILEY‐VCH Verlag
• Subjects: Animal models; Biomarkers; Post-translational modifications; Protein interactions; Standard proteomes
• ISSN: 1862-8346; 1862-8354
• DOI: 10.1002/prca.200780043

Cells contain a large yet, constant genome, which contains all the coding information necessary to sustain cellular physiology. However, proteins are the end products of genes, and hence dictate the phenotype of cells and tissues. Therefore, proteomics can provide key information for the elucidation of physiological and pathophysiological mechanisms by identifying the protein profile from cells and tissues. The relatively novel techniques used for the study of proteomics thus have the potential to improve diagnostic, prognostic, as well as therapeutic avenues. In this review, we first discuss the benefits of animal models over the use of human samples for the proteomic analysis of human disease. Next, we aim to demonstrate the potential of proteomics in the elucidation of disease mechanisms that may not be possible by other conventional technologies. Following this, we describe the use of proteomics for the analysis of PTM and protein interactions in animal models and their relevance to the study of human disease. Finally, we discuss the development of clinical biomarkers for the early diagnosis of disease via proteomic analysis of animal models. We also discuss the development of standard proteomes and relate how this data will benefit future proteomic research. A comprehensive review of all animal models used in conjunction with proteomics is beyond the scope of this manuscript. Therefore, we aimed to cover a large breadth of topics, which together, demonstrate the potential of proteomics as a powerful tool in biomedical research.