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Originally published In Press as doi:10.1194/jlr.R400006-JLR200 on August 1, 2004

Papers In Press, published online ahead of print October 1, 2004
J. Lipid Res., doi:10.1194/jlr.R400006-JLR200
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Journal of Lipid Research, Vol. 45, 1793-1805, October 2004
Copyright © 2004 by American Society for Biochemistry and Molecular Biology


Thematic Review

Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis

Anatole Ghazalpour*, Sudheer Doss*, Xia Yang*, Jason Aten{dagger}, Edward M. Toomey*, Atila Van Nas*, Susanna Wang*, Thomas A. Drake§ and Aldons J. Lusis1,*

* Department of Human Genetics, Department of Medicine, and Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California, Los Angeles, CA 90095-1679
{dagger} Department of Biomathematics, University of California, Los Angeles, CA 90095-1766
§ Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732

1 To whom correspondence should be addressed. e-mail: jlusis{at}mednet.ucla.edu

The goal of systems biology is to define all of the elements present in a given system and to create an interaction network between these components so that the behavior of the system, as a whole and in parts, can be explained under specified conditions. The elements constituting the network that influences the development of atherosclerosis could be genes, pathways, transcript levels, proteins, or physiologic traits..

In this review, we discuss how the integration of genetics and technologies such as transcriptomics and proteomics, combined with mathematical modeling, may lead to an understanding of such networks.

Supplementary key words systems biology • transgenic mice • quantitative trait locus mapping • principal components • Bayesian networks • correlation coefficients • genetics • genomics • proteomics


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