Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-9-23
pubmed:abstractText
Positive autoregulation in gene regulation networks has been shown in the past to exhibit stochastic behavior, including stochastic bistability, in which an initially uniform cell population develops into two distinct subpopulations. However, positive autoregulation is often mediated by signal molecules, which have not been considered in prior stochastic analysis of these networks. Here we propose both a full model of such a network that includes a signal molecule, and a simplified model in which the signal molecules have been eliminated through the use of two simplifications. The simplified model is amenable to direct mathematical analysis that shows that stochastic bistability is possible. We use stochastic Petri networks for simulating both types of models. The simulation results show that 1), the stochastic behavior of the two models is similar; and 2), that the analytical steady-state distribution of the simplified model matches well the transient results at times equal to that of a cell generation. A discussion of the simplifications we used in the context of the results indicates the importance of the signal molecule number as a factor determining the presence of bistability. This is further supported from a deterministic steady-state analysis of the full model that is shown to be a useful indicator of potential stochastic bistability. We use the regulation of SdiA in Escherichia coli as an example, due to the importance of this protein and of the signal molecule, a bacterial autoinducer, that is involved. However, the use of kinetic parameter values representing typical cellular activities make the conclusions applicable to other signal-mediated positive autoregulation networks as well.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-10098409, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-11115115, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-11292813, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-11350942, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-11720979, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-12432408, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-12808135, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-15681643, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-16179466, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-17170762, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-18600794, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-1987152, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-368581, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-8288518, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-8901547, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-9023339, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-9618484, http://linkedlifedata.com/resource/pubmed/commentcorrection/18599632-9691025
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1542-0086
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
95
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3137-45
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Stochastic modeling of gene positive autoregulation networks involving signal molecules.
pubmed:affiliation
Department of Chemical and Biomolecular Engineering, University of Maryland, and Center for Biosystems Research, University of Maryland Biotechnology Institute, College Park, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.