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Environmental sensing, information transfer, and cellular decision-making

Paper ID Volume ID Publish Year Pages File Format Full-Text
15636 42462 2014 7 PDF Available
Title
Environmental sensing, information transfer, and cellular decision-making
Abstract

•We discuss current theoretical approaches to the quantitative study of cellular decision-making.•We focus on the application of information theory, sequential inference, decision theory, and optimality arguments.•We consider interpretations of mutual information in systems biology versus engineering.

The recognition that gene expression can be substantially stochastic poses the question of how cells respond to dynamic environments using biochemistry that itself fluctuates. The study of cellular decision-making aims to solve this puzzle by focusing on quantitative understanding of the variation seen across isogenic populations in response to extracellular change. This behaviour is complex, and a theoretical framework within which to embed experimental results is needed. Here we review current approaches, with an emphasis on information theory, sequential data processing, and optimality arguments. We conclude by highlighting some limitations of these techniques and the importance of connecting both theory and experiment to measures of fitness.

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Publisher
Database: Elsevier - ScienceDirect
Journal: Current Opinion in Biotechnology - Volume 28, August 2014, Pages 149–155
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us