Environmental sensing, information transfer, and cellular decision-making

Clive G. Bowsher*, Peter S. Swain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)149-155
Number of pages7
JournalCurrent opinion in biotechnology
Volume28
DOIs
Publication statusPublished - Aug 2014

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