Cited by 99Gene Regulatory Network AnalysisGenomics and Chromatin DynamicsDiffusion and Search Dynamics

A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting

Open access
Lammers, Nicholas C., Kim, Yang Joon, Zhao, Jiaxi, Garcia, Hernan G.·2020·Current Opinion in Cell Biology

Abstract

Eukaryotic transcription generally occurs in bursts of activity lasting minutes to hours; however, state-of-the-art measurements have revealed that many of the molecular processes that underlie bursting, such as transcription factor binding to DNA, unfold on timescales of seconds. This temporal disconnect lies at the heart of a broader challenge in physical biology of predicting transcriptional outcomes and cellular decision-making from the dynamics of underlying molecular processes. Here, we review how new dynamical information about the processes underlying transcriptional control can be combined with theoretical models that predict not only averaged transcriptional dynamics, but also their variability, to formulate testable hypotheses about the molecular mechanisms underlying transcriptional bursting and control.

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Crossref · 10.1016/j.ceb.2020.08.001

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119 of 119 references verified0 citation errors · 0 not checkable

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  • The interplay between the timescales of enhancer-promoter interactions and regulatory/promoter processes might generate nonlinear effects.

    “We reasoned that the interplay between the timescales of these processes might generate nonlinear effects, as was recently hypothesized to explain promoter bursting44.”

    From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [44]

    In “Bridging the timescale gap: kinetic traps and rate-limiting steps” (page not provided), the paper models how rapid activator-binding dynamics can produce slow, all-or-nothing transcriptional fluctuations, and it identifies enhancer–promoter co-localization as a possible rate-limiting step. It does not specifically hypothesize that an interplay between the timescales of enhancer–promoter interactions and promoter processes generates nonlinear effects. (LLM, conf=0.78)

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  • Enhancer strength modulates the ability of the promoter to turn on.

    “This further strengthens our interpretation that enhancer strength modulates the ability of the promoter to turn on, possibly by regulating chromatin state, transcription factor binding or RNA polymerase II dynamics at the promoter35,44 .”

    From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [44]

    In “The two-state model: a simple quantitative framework for bursting dynamics” (page unavailable), the paper says activators commonly tune kon, the rate at which a promoter enters its ON state. In “Bridging the timescale gap” (page unavailable), it models activator binding at an enhancer as affecting transcription. These passages support a link between enhancer activity and promoter activation, but do not specifically establish that differences in enhancer strength modulate the promoter’s ability to turn on. (LLM, conf=0.81)

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9 of the 128 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. [4]Raj A, van Oudenaarden A: Single-molecule approaches to stochastic gene expression. Annu Rev Biophys 2009, 38: 255– 270, 10.1146/annurev.biophys.37.032807.125928. 19416069 PMC3126657 · DOI
  2. [28]Morrison M, Razo-Mejia M, Phillips R: Reconciling kinetic and equilibrium models of bacterial transcription. bioRxiv 2020, 10.1101/2020.06.13.150292. PMC7845990 33465069 · DOI
  3. [55]Luria SE, Delbrück M: Mutations of bacteria from virus sensitivity to virus resistance. Genetics 1943, 28: 491– 511. 17247100 PMC1209226
  4. [68]Lammers NC, Kim YJ, Zhao J, Garcia HG: Code from “A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting”. Github 2020. Retrieved from, https://github.com/GarciaLab/TranscriptionalTimescale. PMC8498946 33242838

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Authors
Lammers, N. C., Kim, Y. J., Zhao, J., & Garcia, H. G.
Affiliations
University of California, Berkeley (US)
Venue
Current Opinion in Cell Biology
Publisher
Elsevier BV
Published
2020-12
Volume
67
Pages
147-157
ISSN
0955-0674 (ISSN-L)
OpenAlex
W3081370983
Cited by
99
References
128
Citations by year
2026: 19 · 2025: 23 · 2024: 28 · 2023: 14 · 2022: 9 · 2021: 5 · 2020: 1
FWCI
0.69
Type
journal article
Language
en
Open access
Locations
  • Current Opinion in Cell Biology (acceptedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Research Foundation
  • Searle Scholars Program
  • Shurl & Kay Curci Foundation
  • Hellman Foundation
  • NIH
  • NSF
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Diffusion and Search Dynamics
Keywords
transcriptional bursting, eukaryotic transcription, transcription factor-DNA binding, molecular dynamics, transcriptional noise, transcriptional variability
MeSH terms
Animals, Humans, Kinetics, Models, Genetic, Time Factors, Transcription, Genetic

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