Method for Analyzing Signaling Networks in Complex Cellular Systems
Now that the human genome has been sequenced, the challenge of assigning function to human genes has become acute. Existing approaches using microarrays or proteomics frequently generate very large volumes of data not directly related to biological function, making interpretation difficult. Here, we...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 101; no. 5; pp. 1223 - 1228 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
03.02.2004
National Acad Sciences |
Subjects | |
Online Access | Get full text |
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Summary: | Now that the human genome has been sequenced, the challenge of assigning function to human genes has become acute. Existing approaches using microarrays or proteomics frequently generate very large volumes of data not directly related to biological function, making interpretation difficult. Here, we describe a technique for integrative systems biology in which: (i) primary cells are cultured under biologically meaningful conditions; (ii) a limited number of biologically meaningful readouts are measured; and (iii) the results obtained under several different conditions are combined for analysis. Studies of human endothelial cells overexpressing different signaling molecules under multiple inflammatory conditions show that this system can capture a remarkable range of functions by a relatively small number of simple measurements. In particular, measurement of seven different protein levels by ELISA under four different conditions is capable of reconstructing pathway associations of 25 different proteins representing four known signaling pathways, implicating additional participants in the NF-κB or RAS/mitogen-activated protein kinase pathways and defining additional interactions between these pathways. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 Abbreviations: BioMAP, biologically multiplexed activity profiling; TNF-α, tumor necrosis factor α; ICAM, intercellular adhesion molecule; VCAM, vascular cell adhesion molecule; MIG, monokine induced by IFN-γ; MCP-1, monocyte chemoattractant protein 1; PI3K, phosphatidylinositol 3-kinase; MAPK, mitogen-activated protein kinase. To whom correspondence should be addressed. E-mail: ebutcher@stanford.edu. Communicated by Leroy Hood, Institute for Systems Biology, Seattle, WA, December 10, 2003 |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.0308221100 |