Modeling of negative autoregulated genetic networks in single cells

Azi Lipshtat, Hagai B. Perets, Nathalie Q. Balaban, Ofer Biham*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We discuss recent developments in the modeling of negative autoregulated genetic networks. In particular, we consider the temporal evolution of the population of mRNA and proteins in simple networks using rate equations. In the limit of low copy numbers, fluctuation effects become significant and more adequate modeling is then achieved using the master equation formalism. The analogy between regulatory gene networks and chemical reaction networks on dust grains in the interstellar medium is discussed. The analysis and simulation of complex reaction networks are also considered.

Original languageAmerican English
Pages (from-to)265-271
Number of pages7
JournalGene
Volume347
Issue number2 SPEC. ISS.
DOIs
StatePublished - 14 Mar 2005

Bibliographical note

Funding Information:
We thank J. Paulsson for illuminating discussions. N.Q.B. was supported by the Center for Complexity of the Horowitz Foundation and the Bikura Program of the Israel Science Foundation.

Keywords

  • Genetic networks
  • Master equation
  • Repression

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