Heavy-tailed distributions in a stochastic gene autoregulation model

P Bokes - Journal of Statistical Mechanics: Theory and …, 2021 - iopscience.iop.org
Journal of Statistical Mechanics: Theory and Experiment, 2021iopscience.iop.org
Synthesis of gene products in bursts of multiple molecular copies is an important source of
gene expression variability. This paper studies large deviations in a Markovian drift-jump
process that combines exponentially distributed bursts with deterministic degradation. Large
deviations occur as a cumulative effect of many bursts (as in diffusion) or, if the model
includes negative feedback in burst size, in a single big jump. The latter possibility requires
a modification in the WKB solution in the tail region. The main result of the paper is the …
Abstract
Synthesis of gene products in bursts of multiple molecular copies is an important source of gene expression variability. This paper studies large deviations in a Markovian drift-jump process that combines exponentially distributed bursts with deterministic degradation. Large deviations occur as a cumulative effect of many bursts (as in diffusion) or, if the model includes negative feedback in burst size, in a single big jump. The latter possibility requires a modification in the WKB solution in the tail region. The main result of the paper is the construction, via a modified WKB scheme, of matched asymptotic approximations to the stationary distribution of the drift-jump process. The stationary distribution possesses a heavier tail than predicted by a routine application of the scheme.
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