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Journal Article

Stochastic resetting in backtrack recovery by RNA polymerases

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Roldan,  Edgar
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

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Grill,  Stephan W.
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

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Citation

Roldan, E., Lisica, A., Sanchez-Taltavull, D., & Grill, S. W. (2016). Stochastic resetting in backtrack recovery by RNA polymerases. Physical Review E, 93(6): 062411. doi:10.1103/PhysRevE.93.062411.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-05E7-2
Abstract
Transcription is a key process in gene expression, in which RNA polymerases produce a complementary RNA copy from a DNA template. RNA polymerization is frequently interrupted by backtracking, a process in which polymerases perform a random walk along the DNA template. Recovery of polymerases from the transcriptionally inactive backtracked state is determined by a kinetic competition between one-dimensional diffusion and RNA cleavage. Here we describe backtrack recovery as a continuous-time random walk, where the time for a polymerase to recover from a backtrack of a given depth is described as a first-passage time of a random walker to reach an absorbing state. We represent RNA cleavage as a stochastic resetting process and derive exact expressions for the recovery time distributions and mean recovery times from a given initial backtrack depth for both continuous and discrete-lattice descriptions of the random walk. We show that recovery time statistics do not depend on the discreteness of the DNA lattice when the rate of one-dimensional diffusion is large compared to the rate of cleavage.