Protein synthesis driven by dynamical stochastic transcription

Protein synthesis driven by dynamical stochastic transcription

Author Innocentini, Guilherme C. P. Google Scholar
Forger, Michael Google Scholar
Radulescu, Ovidiu Google Scholar
Antoneli, Fernando Autor UNIFESP Google Scholar
Abstract In this manuscript, we propose a mathematical framework to couple transcription and translation in which mRNA production is described by a set of master equations, while the dynamics of protein density is governed by a random differential equation. The coupling between the two processes is given by a stochastic perturbation whose statistics satisfies the master equations. In this approach, from the knowledge of the analytical time-dependent distribution of mRNA number, we are able to calculate the dynamics of the probability density of the protein population.
Keywords Gene Expression
Stochasticity
Exact Solutions
DynamicsEukaryotic Gene-Expression
Noise
Time
Networks
Molecule
Cells
Language English
Sponsor FAPESP, SP, Brazil [2012/04723-4]
CNPq, Brazil [202238/2014-8, 307238/2011-3, 306362/2012-0]
CNRS
LABEX Epigenmed
Grant number FAPESP: 2012/04723-4
CNPq: 202238/2014-8
CNPq: 307238/2011-3
CNPq: 306362/2012-0
Date 2016
Published in Bulletin Of Mathematical Biology. New york, v. 78, n. 1, p. 110-131, 2016.
ISSN 0092-8240 (Sherpa/Romeo, impact factor)
Publisher Springer
Extent 110-131
Origin https://doi.org/10.1007/s11538-015-0131-3
Access rights Closed access
Type Article
Web of Science ID WOS:000368695500006
URI http://repositorio.unifesp.br/handle/11600/49648

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