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Sci. Signal., 25 October 2011
Vol. 4, Issue 196, p. ec301
[DOI: 10.1126/scisignal.4196ec301]


Computational Biology Tumor Necrosis Factor Response

L. Bryan Ray

Science, Science Signaling, AAAS, Washington, DC 20005, USA

Engineers use information theory to analyze how noise influences information transfer, for example, in telephone systems. Cheong et al. (see the Perspective by Thomas) have now applied such analysis in biological experiments by monitoring the response of thousands of single mouse fibroblasts to stimulation with various doses of tumor necrosis factor (TNF). Signal transmission was surprisingly noisy, meaning that the cells could only really differentiate whether TNF was present or not. Such limitations of a single signaling pathway appear to be overcome by the cooperation of multiple signaling pathways in networks or by groups of cells collectively averaging their response to the same signal.

R. Cheong, A. Rhee, C. J. Wang, I. Nemenman, A. Levchenko, Information transduction capacity of noisy biochemical signaling networks. Science 334, 354–358 (2011). [Abstract] [Full Text]

P. J. Thomas, Every bit counts. Science 334, 321–322 (2011). [Abstract] [Full Text]

Citation: L. B. Ray, Tumor Necrosis Factor Response. Sci. Signal. 4, ec301 (2011).

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