Omics meets hypothesis-driven research - Partnership for innovative discoveries in vascular biology and angiogenesis

Journal:Thrombosis and Haemostasis
ISSN:0340-6245
DOI:http://dx.doi.org/10.1160/TH08-06-0348
Issue:2008: 100/5 (Nov) pp. 727-954
Pages:738-746

Omics meets hypothesis-driven research - Partnership for innovative discoveries in vascular biology and angiogenesis

Curzio Rüegg1,2, Jean-Daniel Tissot3, Pierre Farmer2,4, Agnese Mariotti1
1Division of Experimental Oncology, Centre Pluridisciplinaire d’Oncologie, Faculty of Biology and Medicine, University of Lausanne, Epalinges, Switzerland; 2National Centre for Competence in Research (NCCR) Molecular Oncology, Epalinges, Switzerland; 3Service Régional Vaudois de Transfusion Sanguine, Lausanne, Switzerland; 4Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Quartier Sorge, Bâtiment Génopode, Lausanne, Switzerland

Summary

The emergence of omics technologies allowing the global analysis of a given biological or molecular system, rather than the study of its individual components, has revolutionized biomedical research, including cardiovascular medicine research in the past decade. These developments raised the prospect that classical,hypothesisdriven, single gene-based approaches may soon become obsolete. The experience accumulated so far, however, indicates that omic technologies only represent tools similar to those classically used by scientists in the past and nowadays, to make hypothesis and build models, with the main difference that they generate large amounts of unbiased information.Thus,omics and classical hypothesis- driven research are rather complementary approaches with the potential to effectively synergize to boost research in many fields, including cardiovascular medicine. In this article we discuss some general aspects of omics approaches, and review contributions in three areas of vascular biology, thrombosis and haemostasis, atherosclerosis and angiogenesis, in which omics approaches have already been applied (vasculomics).

Keywords

Atherosclerosis, cancer, proteomics, gene expression, endothelial cells

DOI

http://dx.doi.org/10.1160/TH08-06-0348

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