Biology – Quantitative Biology – Molecular Networks
Scientific paper
2011-01-11
Phys. Rev. Lett. 106, 058102, 2011
Biology
Quantitative Biology
Molecular Networks
Accepted by Physical Review Letters
Scientific paper
10.1103/PhysRevLett.106.058102
Regulation of intrinsic noise in gene expression is essential for many cellular functions. Correspondingly, there is considerable interest in understanding how different molecular mechanisms of gene expression impact variations in protein levels across a population of cells. In this work, we analyze a stochastic model of bursty gene expression which considers general waiting-time distributions governing arrival and decay of proteins. By mapping the system to models analyzed in queueing theory, we derive analytical expressions for the noise in steady-state protein distributions. The derived results extend previous work by including the effects of arbitrary probability distributions representing the effects of molecular memory and bursting. The analytical expressions obtained provide insight into the role of transcriptional, post-transcriptional and post-translational mechanisms in controlling the noise in gene expression.
Jia Tao
Kulkarni Rahul V.
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