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Reverse Engineering Biological Networks: Opportunities and Challenges in Computational Methods for Pathway Inference Volume 1115 published November 2007
Ann. N.Y. Acad. Sci. 1115: 32–50 (2007). doi: 10.1196/annals.1407.018
Copyright © 2007 by the New York Academy of Sciences
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Articles by LEVINE, A. J.
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Articles by LEVINE, A. J.
Articles by GIL, G.

Part II. Overview of Reverse Engineering Methods: Experiment and Theory

Reconstructing Signal Transduction Pathways

Challenges and Opportunities

ARNOLD J. LEVINEa,b, WENWEI HUb, ZHAOHUI FENGb AND GERMAN GILb

a Institute for Advanced Study, School of Natural Sciences, Princeton, New Jersey 08540, USA b Cancer Institute of New Jersey, University of Medicine and Dentistry of New Jersey, New Brunswick, New Jersey, USA

Key Words: pathway reconstruction • p53 pathway • stress signaling • apoptosis

Address for correspondence: Arnold J. Levine, School of Natural Sciences, Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540-0631. Voice: 609-734-8005; fax: 609-924-7592.  alevine{at}ias.edu

In this chapter, we will review how signal transduction pathways have been assembled in the past, bringing us to our present understanding of this area of research. The methods employed have relied heavily upon the genetics of yeast, worms, flies, mice, and humans. The use of second site suppressors and epistasis has permitted the detection of interacting elements and the sequence of genetic activities. Biochemistry has been employed to elucidate metabolic pathways, demonstrate protein complexes, and identify functions of gene products. The tools of molecular biology—knocking concentration of protein products down or up—have been helpful to trace the function of pathways in vivo. The study of disease states has led to the identification of a set of altered genes and helped define a network that is altered and gives rise to the disease. We will also discuss some serious limitations in these approaches. After reviewing how signal transduction pathways are constructed and investigated, we will turn our attention to an example that demonstrates the inter-relationships between pathways and the regulation of a specific set of pathways. We will examine how the p53 pathway in responding to stress shuts down the AKT-1 and mTOR pathways so as to limit the error frequency of cell growth and division during a stressful time where homeostatic mechanisms are required to respond and increase the fidelity of these processes.




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G. STOLOVITZKY, D. MONROE, and A. CALIFANO
Dialogue on Reverse-Engineering Assessment and Methods: The DREAM of High-Throughput Pathway Inference
Ann. N.Y. Acad. Sci., December 1, 2007; 1115(1): 1 - 22.
[Abstract] [Full Text] [PDF]



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