help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Biophys. J. BioFAST: First Published November 12, 2004. doi:10.1529/biophysj.104.050666
© 2004 by the Biophysical Society.

A more recent version of this article appeared on February 1, 2005.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow All Versions of this Article:
biophysj.104.050666v1
88/2/828    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Walczak, A. M
Right arrow Articles by Wolynes, P. G
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Walczak, A. M
Right arrow Articles by Wolynes, P. G

BIOPHYSICAL THEORY AND MODELING

Self Consistent Proteomic Field Theory of Stochastic Gene Switches

Aleksandra M Walczak 1, Masaki Sasai 2 and Peter G Wolynes 1*

1 UCSD
2 Nagoya University

* To whom correspondence should be addressed. E-mail: pwolynes{at}ucsd.edu.

Submitted on July 30, 2004
Revised on September 29, 2004
Accepted on 22 October 2004


  Abstract
We present a self-consistent field approximation to the problem of the genetic switch composed of two mutually repressing/activating genes. The protein and DNA state dynamics are treated stochastically and on equal footing. In this approach the mean influence of the proteomic cloud created by one gene on the action of another is self-consistently computed. Within this approximation a broad range of stochastic genetic switches may be solved exactly in terms of finding the probability distribution and its moments. A much larger class of problems, such as genetic networks and cascades also remain exactly solvable with this approximation. We discuss in depth certain specific types of basic switches, which are used by biological systems and compare their behavior to the expectation for a deterministic switch.

Key Words: bursts, gene switches, master equation, stochastic processes




This article has been cited by other articles:


Home page
 Biophys. JHome page
Y. Lan and G. A. Papoian
The Stochastic Dynamics of Filopodial Growth
Biophys. J., May 15, 2008; 94(10): 3839 - 3852.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2004 by the Biophysical Society.