Evidence map›Paper›PMID 23940458›Full record

ArticlePLoS biology2013

Linking stochastic fluctuations in chromatin structure and gene expression.

Christopher R Brown, Changhui Mao, Elena Falkovskaia, Melissa S Jurica, Hinrich Boeger

Abstract read
In one paragraph

Article in PLoS biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed.

  1. Article
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  16. Review
  17. Analysis of Yeast RNAP I Transcription of Nucleosomal Templates In Vitro.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. Article
  19. Article
  20. Microbial metabolic noise.WIREs mechanisms of disease · 2021
    Review

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Christopher R BrownDepartment of Molecular, Cell and Developmental Biology, University of California, Santa Cruz, California, USA.
Changhui Mao
Elena Falkovskaia
Melissa S Jurica
Hinrich Boeger

Funding

Investigation of the PHO5 promoter chromatic transitionF32GM087867 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI BROWN, CHRISTOPHER RICHARD · 2009 to 2011
$151k
NIGMS NIH HHS F32 GM087867NIGMS NIH HHS F32GM087867
6 · The paper itself

Abstract

The number of mRNA and protein molecules expressed from a single gene molecule fluctuates over time. These fluctuations have been attributed, in part, to the random transitioning of promoters between transcriptionally active and inactive states, causing transcription to occur in bursts. However, the molecular basis of transcriptional bursting remains poorly understood. By electron microscopy of single PHO5 gene molecules from yeast, we show that the "activated" promoter assumes alternative nucleosome configurations at steady state, including the maximally repressive, fully nucleosomal, and the maximally non-repressive, nucleosome-free, configuration. We demonstrate that the observed probabilities of promoter nucleosome configurations are obtained from a simple, intrinsically stochastic process of nucleosome assembly, disassembly, and position-specific sliding; and we show that gene expression and promoter nucleosome configuration can be mechanistically coupled, relating promoter nucleosome dynamics and gene expression fluctuations. Together, our findings suggest a structural basis for transcriptional bursting, and offer new insights into the mechanism of transcriptional regulation and the kinetics of promoter nucleosome transitions.

Indexed as

ChromatinChromatin Assembly and DisassemblyGene Expression Regulation, FungalNucleosomesPromoter Regions, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsChromatinNucleosomesSaccharomyces cerevisiae Proteins

Identifiers

PMID23940458
PMCPMC3735467

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.