Protein synthesis driven by dynamical stochastic transcription

Date
2016Author
Innocentini, Guilherme C. P.
Forger, Michael
Radulescu, Ovidiu
Antoneli, Fernando [UNIFESP]
Type
ArtigoISSN
0092-8240Is part of
Bulletin Of Mathematical BiologyDOI
10.1007/s11538-015-0131-3Metadata
Show full item recordAbstract
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.
Citation
Bulletin Of Mathematical Biology. New york, v. 78, n. 1, p. 110-131, 2016.Keywords
Gene ExpressionStochasticity
Exact Solutions
DynamicsEukaryotic Gene-Expression
Noise
Time
Networks
Molecule
Cells
Sponsorship
FAPESP, SP, Brazil [2012/04723-4]CNPq, Brazil [202238/2014-8, 307238/2011-3, 306362/2012-0]
CNRS
LABEX Epigenmed
Collections
- EPM - Artigos [17701]