Stochastic switching in gene networks can occur by a single-molecule event or many molecular steps.

Abstract:

:Due to regulatory feedback, biological networks can exist stably in multiple states, leading to heterogeneous phenotypes among genetically identical cells. Random fluctuations in protein numbers, tuned by specific molecular mechanisms, have been hypothesized to drive transitions between these different states. We develop a minimal theoretical framework to analyze the limits of switching in terms of simple experimental parameters. Our model identifies and distinguishes between two distinct molecular mechanisms for generating stochastic switches. In one class of switches, the stochasticity of a single-molecule event, a specific and rare molecular reaction, directly controls the macroscopic change in a cell's state. In the second class, no individual molecular event is significant, and stochasticity arises from the propagation of biochemical noise through many molecular pathways and steps. As an example, we explore switches based on protein-DNA binding fluctuations and predict relations between transcription factor kinetics, absolute switching rate, robustness, and efficiency that differentiate between switching by single-molecule events or many molecular steps. Finally, we apply our methods to recent experimental data on switching in Escherichia coli lactose metabolism, providing quantitative interpretations of a single-molecule switching mechanism.

journal_name

J Mol Biol

authors

Choi PJ,Xie XS,Shakhnovich EI

doi

10.1016/j.jmb.2009.11.035

subject

Has Abstract

pub_date

2010-02-12 00:00:00

pages

230-44

issue

1

eissn

0022-2836

issn

1089-8638

pii

S0022-2836(09)01412-0

journal_volume

396

pub_type

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