Azaele, S, Banavar, JR and Maritan, A (2009) Probing noise in gene expression and protein production. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 80 (3). 031916. ISSN 1539-3755
Abstract
We derive exact solutions of simplified models for the temporal evolution of the protein concentration within a cell population arbitrarily far from the stationary state. We show that monitoring the dynamics can assist in modeling and understanding the nature of the noise in gene expression. We analyze the dispersion of the process, i.e., the ratio of the variance to the mean at arbitrary time, and introduce a measure, the fractional protein distribution, which can be used to probe the phase of transcription of DNA into mRNA.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2009, The American Physical Society. Reproduced in accordance with the publisher's self-archiving policy |
Keywords: | Single-cell; regulatory networks; fluctuations; stochasticity; initiation; level |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 May 2014 15:19 |
Last Modified: | 19 Jan 2018 15:07 |
Published Version: | http://dx.doi.org/10.1103/PhysRevE.80.031916 |
Status: | Published |
Publisher: | American Physical Society |
Identification Number: | 10.1103/PhysRevE.80.031916 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78950 |