Journal article

Exactly solvable models of stochastic gene expression

Lucy Ham, David Schnoerr, Rowan D Brackston, Michael PH Stumpf

The Journal of Chemical Physics | AMER INST PHYSICS | Published : 2020


Stochastic models are key to understanding the intricate dynamics of gene expression. However, the simplest models that only account for active and inactive states of a gene fail to capture common observations in both prokaryotic and eukaryotic organisms. Here, we consider multistate models of gene expression that generalize the canonical Telegraph process and are capable of capturing the joint effects of transcription factors, heterochromatin state, and DNA accessibility (or, in prokaryotes, sigma-factor activity) on transcript abundance. We propose two approaches for solving classes of these generalized systems. The first approach offers a fresh perspective on a general class of multistate..

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University of Melbourne Researchers


Awarded by University of Melbourne DVCR fund - BBSRC

Awarded by BBSRC

Funding Acknowledgements

L.H. and M.P.H.S. gratefully acknowledge support from the University of Melbourne DVCR fund. R.D.B. and M.P.H.S. were funded by the BBSRC through Grant No. BB/N003608/1. D.S. was funded by the BBSRC through Grant No. BB/P028306/1.