Literature DB >> 32101716

Probing Mechanisms of Transcription Elongation Through Cell-to-Cell Variability of RNA Polymerase.

Md Zulfikar Ali1, Sandeep Choubey2, Dipjyoti Das3, Robert C Brewster4.   

Abstract

The process of transcription initiation and elongation are primary points of control in the regulation of gene expression. Although biochemical studies have uncovered the mechanisms involved in controlling transcription at each step, how these mechanisms manifest in vivo at the level of individual genes is still unclear. Recent experimental advances have enabled single-cell measurements of RNA polymerase (RNAP) molecules engaged in the process of transcribing a gene of interest. In this article, we use Gillespie simulations to show that measurements of cell-to-cell variability of RNAP numbers and interpolymerase distances can reveal the prevailing mode of regulation of a given gene. Mechanisms of regulation at each step, from initiation to elongation dynamics, produce qualitatively distinct signatures, which can further be used to discern between them. Most intriguingly, depending on the initiation kinetics, stochastic elongation can either enhance or suppress cell-to-cell variability at the RNAP level. To demonstrate the value of this framework, we analyze RNAP number distribution data for ribosomal genes in Saccharomyces cerevisiae from three previously published studies and show that this approach provides crucial mechanistic insights into the transcriptional regulation of these genes.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32101716      PMCID: PMC7136280          DOI: 10.1016/j.bpj.2020.02.002

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  71 in total

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Authors:  T B Kepler; T C Elston
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

2.  Post-transcriptional regulation of noise in protein distributions during gene expression.

Authors:  Tao Jia; Rahul V Kulkarni
Journal:  Phys Rev Lett       Date:  2010-06-28       Impact factor: 9.161

3.  Regulation by small RNAs via coupled degradation: mean-field and variational approaches.

Authors:  Thierry Platini; Tao Jia; Rahul V Kulkarni
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-08-25

Review 4.  Transcriptional activation by recruitment.

Authors:  M Ptashne; A Gann
Journal:  Nature       Date:  1997-04-10       Impact factor: 49.962

5.  Promoter architecture dictates cell-to-cell variability in gene expression.

Authors:  Daniel L Jones; Robert C Brewster; Rob Phillips
Journal:  Science       Date:  2014-12-18       Impact factor: 47.728

Review 6.  Central dogma at the single-molecule level in living cells.

Authors:  Gene-Wei Li; X Sunney Xie
Journal:  Nature       Date:  2011-07-20       Impact factor: 49.962

7.  Tor pathway regulates Rrn3p-dependent recruitment of yeast RNA polymerase I to the promoter but does not participate in alteration of the number of active genes.

Authors:  Jonathan A Claypool; Sarah L French; Katsuki Johzuka; Kristilyn Eliason; Loan Vu; Jonathan A Dodd; Ann L Beyer; Masayasu Nomura
Journal:  Mol Biol Cell       Date:  2003-10-31       Impact factor: 4.138

8.  Nascent transcript sequencing visualizes transcription at nucleotide resolution.

Authors:  L Stirling Churchman; Jonathan S Weissman
Journal:  Nature       Date:  2011-01-20       Impact factor: 49.962

9.  Transcription of functionally related constitutive genes is not coordinated.

Authors:  Saumil J Gandhi; Daniel Zenklusen; Timothée Lionnet; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2010-12-05       Impact factor: 15.369

10.  Stochastic noise in splicing machinery.

Authors:  Eugene Melamud; John Moult
Journal:  Nucleic Acids Res       Date:  2009-06-22       Impact factor: 16.971

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  2 in total

1.  Statistics of Nascent and Mature RNA Fluctuations in a Stochastic Model of Transcriptional Initiation, Elongation, Pausing, and Termination.

Authors:  Tatiana Filatova; Nikola Popovic; Ramon Grima
Journal:  Bull Math Biol       Date:  2020-12-22       Impact factor: 1.758

Review 2.  Predictive landscapes hidden beneath biological cellular automata.

Authors:  Lars Koopmans; Hyun Youk
Journal:  J Biol Phys       Date:  2021-11-05       Impact factor: 1.365

  2 in total

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