Title:	A cellular solution to an information-processing problem
Authors:	Iyengar, Garud Rao, Madan
Keywords:	protein sensors active mechanics information optimization
Issue Date:	26-Aug-2014
Publisher:	National Academy of Sciences of the United States of America
Citation:	Proceedings of the National Academy of Sciences of the United States of America, 2014, Vol.111, p12402-12407
Abstract:	Signaling receptors on the cell surface are mobile and have evolved to efficiently sense and process mechanical or chemical information. We pose the problem of identifying the optimal strategy for placing a collection of distributed and mobile sensors to faithfully estimate a signal that varies in space and time. The optimal strategy has to balance two opposing objectives: the need to locally assemble sensors to reduce estimation noise and the need to spread them to reduce spatial error. This results in a phase transition in the space of strategies as a function of sensor density and efficiency. We show that these optimal strategies have been arrived at multiple times in diverse cell biology contexts, including the stationary lattice architecture of receptors on the bacterial cell surface and the active clustering of cell-surface signaling receptors in metazoan cells.
Description:	Restricted Access.
URI:	http://hdl.handle.net/2289/5988
ISSN:	1091-6490 (online) 0027-8424
Alternative Location:	http://dx.doi.org/10.1073/pnas.1406608111
Copyright:	2014 National Academy of Sciences of the United States of America This article may be downloaded for personal use only. Any other use requires prior permission of the author and the National Academy of Sciences of the United States of America
Appears in Collections:	Research Papers (TP)

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