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

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 in...

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Main Authors: Anatole Ghazalpour, Sudheer Doss, Xia Yang, Jason Aten, Edward M. Toomey, Atila Van Nas, Susanna Wang, Thomas A. Drake, Aldons J. Lusis
Format: Article
Language:English
Published: Elsevier 2004-10-01
Series:Journal of Lipid Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0022227520312529
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record_format Article
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language English
format Article
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author Anatole Ghazalpour
Sudheer Doss
Xia Yang
Jason Aten
Edward M. Toomey
Atila Van Nas
Susanna Wang
Thomas A. Drake
Aldons J. Lusis
spellingShingle Anatole Ghazalpour
Sudheer Doss
Xia Yang
Jason Aten
Edward M. Toomey
Atila Van Nas
Susanna Wang
Thomas A. Drake
Aldons J. Lusis
Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
Journal of Lipid Research
systems biology
transgenic mice
quantitative trait locus mapping
principal components
Bayesian networks
correlation coefficients
author_facet Anatole Ghazalpour
Sudheer Doss
Xia Yang
Jason Aten
Edward M. Toomey
Atila Van Nas
Susanna Wang
Thomas A. Drake
Aldons J. Lusis
author_sort Anatole Ghazalpour
title Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
title_short Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
title_full Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
title_fullStr Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
title_full_unstemmed Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis
title_sort thematic review series: the pathogenesis of atherosclerosis. toward a biological network for atherosclerosis
publisher Elsevier
series Journal of Lipid Research
issn 0022-2275
publishDate 2004-10-01
description 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.
topic systems biology
transgenic mice
quantitative trait locus mapping
principal components
Bayesian networks
correlation coefficients
url http://www.sciencedirect.com/science/article/pii/S0022227520312529
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spelling doaj-cb58ac6d67b846eaa7a4119a294e23502021-04-27T11:49:11ZengElsevierJournal of Lipid Research0022-22752004-10-01451017931805Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosisAnatole Ghazalpour0Sudheer Doss1Xia Yang2Jason Aten3Edward M. Toomey4Atila Van Nas5Susanna Wang6Thomas A. Drake7Aldons J. Lusis8Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732Department 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; Department of Biomathematics, University of California, Los Angeles, CA 90095-1766; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095-1732The 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.http://www.sciencedirect.com/science/article/pii/S0022227520312529systems biologytransgenic micequantitative trait locus mappingprincipal componentsBayesian networkscorrelation coefficients