Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.


Sci. Signal., 4 October 2011
Vol. 4, Issue 193, p. pc20
[DOI: 10.1126/scisignal.2002543]


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.

Citation: A. Levchenko, A. M. VanHook, Science Signaling Podcast: 4 October 2011. Sci. Signal. 4, pc20 (2011).

Read the Full Text

To Advertise     Find Products

Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882