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Proc Natl Acad Sci U S A. 2002 Oct 1;99(20):12841-6. Epub 2002 Sep 19.

Untangling the wires: a strategy to trace functional interactions in signaling and gene networks.

Author information

1
Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA. Boris.Kholodenko@mail.tju.edu

Erratum in

  • Proc Natl Acad Sci U S A 2002 Nov 12;99(23):15245.

Abstract

Emerging technologies have enabled the acquisition of large genomics and proteomics data sets. However, current methodologies for analysis do not permit interpretation of the data in ways that unravel cellular networking. We propose a quantitative method for determining functional interactions in cellular signaling and gene networks. It can be used to explore cell systems at a mechanistic level or applied within a "modular" framework, which dramatically decreases the number of variables to be assayed. This method is based on a mathematical derivation that demonstrates how the topology and strength of network connections can be retrieved from experimentally measured network responses to successive perturbations of all modules. Importantly, our analysis can reveal functional interactions even when the components of the system are not all known. Under these circumstances, some connections retrieved by the analysis will not be direct but correspond to the interaction routes through unidentified elements. The method is tested and illustrated by using computer-generated responses of a modeled mitogen-activated protein kinase cascade and gene network.

PMID:
12242336
PMCID:
PMC130547
DOI:
10.1073/pnas.192442699
[Indexed for MEDLINE]
Free PMC Article

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