Science Signaling Podcast: 4 October 2011

Andre Levchenko¹ and Annalisa M. VanHook²

¹ Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA.
² Web Editor, Science Signaling, American Association for the Advancement of Science, 1200 New York Avenue, NW, Washington, DC 20005, USA.

Abstract: This Podcast features a conversation with the senior author of a Research Report that was published in Science Express on 15 September 2011. Andre Levchenko discusses his group’s analysis of information flow through a noisy biochemical network. Modeling of the tumor necrosis factor (TNF) signaling network predicted the presence of an information bottleneck early in the network, and these results were confirmed in experiments. These results highlight how populations of cells may be able to overcome noise.

The editors suggest the following Related Resources on Science sites:

In Science Signaling

EDITORS' CHOICE
Computational Biology
Tumor Necrosis Factor Response

L. Bryan Ray (25 October 2011)
Sci. Signal. 4 (196), ec301. [DOI: 10.1126/scisignal.4196ec301]
 |  Abstract »

RESEARCH ARTICLES
Cell Migration
A Conceptual Molecular Network for Chemotactic Behaviors Characterized by Feedback of Molecules Cycling Between the Membrane and the Cytosol

Mikiya Otsuji, Yuya Terashima, Shuji Ishihara, Shinya Kuroda, and Kouji Matsushima (14 December 2010)
Sci. Signal. 3 (152), ra89. [DOI: 10.1126/scisignal.2001056]
 |  Editor's Summary »  |  Abstract »  |  Full Text »  |  PDF »  |  Supplementary Materials »

PERSPECTIVES
Cell Biology
The Complexity of Cell Signaling and the Need for a New Mechanics

William S. Hlavacek and James R. Faeder (28 July 2009)
Sci. Signal. 2 (81), pe46. [DOI: 10.1126/scisignal.281pe46]
 |  Abstract »  |  Full Text »  |  PDF »

RESEARCH ARTICLES
Cell Biology
Deciphering Signaling Outcomes from a System of Complex Networks

Robert C. Hsueh, Madhusudan Natarajan, Iain Fraser, Blake Pond, Jamie Liu, Susanne Mumby, Heping Han, Lily I. Jiang, Melvin I. Simon, Ronald Taussig, and Paul C. Sternweis (19 May 2009)
Sci. Signal. 2 (71), ra22. [DOI: 10.1126/scisignal.2000054]
 |  Editor's Summary »  |  Abstract »  |  Full Text »  |  PDF »

RESEARCH ARTICLES
Computational Biology
Fault Diagnosis Engineering of Digital Circuits Can Identify Vulnerable Molecules in Complex Cellular Pathways

Ali Abdi, Mehdi Baradaran Tahoori, and Effat S. Emamian (21 October 2008)
Sci. Signal. 1 (42), ra10. [DOI: 10.1126/scisignal.2000008]
 |  Editor's Summary »  |  Abstract »  |  Full Text »  |  PDF »  |  Supplementary Materials »  |  Preview PDF »

In Science Magazine

REPORTS
Information Transduction Capacity of Noisy Biochemical Signaling Networks

Raymond Cheong, Alex Rhee, Chiaochun Joanne Wang, Ilya Nemenman, and Andre Levchenko (21 October 2011)
Science 334 (6054), 354. [DOI: 10.1126/science.1204553]
 |  Abstract »  |  Full Text »  |  PDF »  |  Supporting Online Material »