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Reversible and Noisy Progression towards a Commitment Point Enables Adaptable and Reliable Cellular Decision-Making

Overview of attention for article published in PLoS Computational Biology, November 2011
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Title
Reversible and Noisy Progression towards a Commitment Point Enables Adaptable and Reliable Cellular Decision-Making
Published in
PLoS Computational Biology, November 2011
DOI 10.1371/journal.pcbi.1002273
Pubmed ID
Authors

Anna Kuchina, Lorena Espinar, Jordi Garcia-Ojalvo, Gürol M. Süel

Abstract

Cells must make reliable decisions under fluctuating extracellular conditions, but also be flexible enough to adapt to such changes. How cells reconcile these seemingly contradictory requirements through the dynamics of cellular decision-making is poorly understood. To study this issue we quantitatively measured gene expression and protein localization in single cells of the model organism Bacillus subtilis during the progression to spore formation. We found that sporulation proceeded through noisy and reversible steps towards an irreversible, all-or-none commitment point. Specifically, we observed cell-autonomous and spontaneous bursts of gene expression and transient protein localization events during sporulation. Based on these measurements we developed mathematical population models to investigate how the degree of reversibility affects cellular decision-making. In particular, we evaluated the effect of reversibility on the 1) reliability in the progression to sporulation, and 2) adaptability under changing extracellular stress conditions. Results show that reversible progression allows cells to remain responsive to long-term environmental fluctuations. In contrast, the irreversible commitment point supports reliable execution of cell fate choice that is robust against short-term reductions in stress. This combination of opposite dynamic behaviors (reversible and irreversible) thus maximizes both adaptable and reliable decision-making over a broad range of changes in environmental conditions. These results suggest that decision-making systems might employ a general hybrid strategy to cope with unpredictably fluctuating environmental conditions.

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Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
United Kingdom 3 3%
Spain 2 2%
Portugal 1 <1%
Colombia 1 <1%
Slovakia 1 <1%
Unknown 91 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 32%
Researcher 29 28%
Student > Master 9 9%
Professor 7 7%
Student > Bachelor 6 6%
Other 13 13%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 51%
Biochemistry, Genetics and Molecular Biology 14 14%
Computer Science 7 7%
Physics and Astronomy 6 6%
Engineering 5 5%
Other 10 10%
Unknown 8 8%