Literature DB >> 29742401

Distribution of Initiation Times Reveals Mechanisms of Transcriptional Regulation in Single Cells.

Sandeep Choubey1, Jane Kondev1, Alvaro Sanchez2.   

Abstract

Transcription is the dominant point of control of gene expression. Biochemical studies have revealed key molecular components of transcription and their interactions, but the dynamics of transcription initiation in cells is still poorly understood. This state of affairs is being remedied with experiments that observe transcriptional dynamics in single cells using fluorescent reporters. Quantitative information about transcription initiation dynamics can also be extracted from experiments that use electron micrographs of RNA polymerases caught in the act of transcribing a gene (Miller spreads). Inspired by these data, we analyze a general stochastic model of transcription initiation and elongation and compute the distribution of transcription initiation times. We show that different mechanisms of initiation leave distinct signatures in the distribution of initiation times that can be compared to experiments. We analyze published data from micrographs of RNA polymerases transcribing ribosomal RNA genes in Escherichia coli and compare the observed distributions of interpolymerase distances with the predictions from previously hypothesized mechanisms for the regulation of these genes. Our analysis demonstrates the potential of measuring the distribution of time intervals between initiation events as a probe for dissecting mechanisms of transcription initiation in live cells.
Copyright © 2018 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29742401      PMCID: PMC5961459          DOI: 10.1016/j.bpj.2018.03.031

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


  80 in total

1.  Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations.

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

2.  Native elongating transcript sequencing (NET-seq).

Authors:  L Stirling Churchman; Jonathan S Weissman
Journal:  Curr Protoc Mol Biol       Date:  2012-04

3.  Supercoiling of the DNA template during transcription.

Authors:  L F Liu; J C Wang
Journal:  Proc Natl Acad Sci U S A       Date:  1987-10       Impact factor: 11.205

4.  Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells.

Authors:  Yuichi Taniguchi; Paul J Choi; Gene-Wei Li; Huiyi Chen; Mohan Babu; Jeremy Hearn; Andrew Emili; X Sunney Xie
Journal:  Science       Date:  2010-07-30       Impact factor: 47.728

5.  Stochastic models of transcription: from single molecules to single cells.

Authors:  Alvaro Sanchez; Sandeep Choubey; Jane Kondev
Journal:  Methods       Date:  2013-04-01       Impact factor: 3.608

6.  Dynamic regulation of eve stripe 2 expression reveals transcriptional bursts in living Drosophila embryos.

Authors:  Jacques P Bothma; Hernan G Garcia; Emilia Esposito; Gavin Schlissel; Thomas Gregor; Michael Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-03       Impact factor: 11.205

7.  Conversion of active promoter-RNA polymerase complexes into inactive promoter bound complexes in E. coli by the transcription effector, ppGpp.

Authors:  Amarnath Maitra; Irina Shulgina; V James Hernandez
Journal:  Mol Cell       Date:  2005-03-18       Impact factor: 17.970

8.  Transcriptional burst frequency and burst size are equally modulated across the human genome.

Authors:  Roy D Dar; Brandon S Razooky; Abhyudai Singh; Thomas V Trimeloni; James M McCollum; Chris D Cox; Michael L Simpson; Leor S Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-11       Impact factor: 11.205

9.  Live imaging of bicoid-dependent transcription in Drosophila embryos.

Authors:  Tanguy Lucas; Teresa Ferraro; Baptiste Roelens; Jose De Las Heras Chanes; Aleksandra M Walczak; Mathieu Coppey; Nathalie Dostatni
Journal:  Curr Biol       Date:  2013-10-17       Impact factor: 10.834

10.  Depletion of functional ribosomal RNA operons in Escherichia coli causes increased expression of the remaining intact copies.

Authors:  C Condon; S French; C Squires; C L Squires
Journal:  EMBO J       Date:  1993-11       Impact factor: 11.598

View more
  4 in total

1.  Constraining the complexity of promoter dynamics using fluctuations in gene expression.

Authors:  Niraj Kumar; Rahul V Kulkarni
Journal:  Phys Biol       Date:  2019-11-05       Impact factor: 2.583

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

Authors:  Md Zulfikar Ali; Sandeep Choubey; Dipjyoti Das; Robert C Brewster
Journal:  Biophys J       Date:  2020-02-12       Impact factor: 4.033

3.  Kinetic sculpting of the seven stripes of the Drosophila even-skipped gene.

Authors:  Augusto Berrocal; Nicholas C Lammers; Hernan G Garcia; Michael B Eisen
Journal:  Elife       Date:  2020-12-10       Impact factor: 8.140

4.  Short Residence Times of DNA-Bound Transcription Factors Can Reduce Gene Expression Noise and Increase the Transmission of Information in a Gene Regulation System.

Authors:  Eugenio Azpeitia; Andreas Wagner
Journal:  Front Mol Biosci       Date:  2020-04-28
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.