Evidence map›Paper›PMID 31289233›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic.

Justyna Cholewa-Waclaw, Ruth Shah, Shaun Webb, Kashyap Chhatbar, Bernard Ramsahoye, Oliver Pusch, Miao Yu, Philip Greulich, Bartlomiej Waclaw, Adrian P Bird

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

38 citing papers in PubMed, 58 citations in OpenAlex.

  1. Telomere-to-telomere genome ofHorticulture research · 2026
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  3. A modeller's guide for biomedical discovery.Disease models & mechanisms · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Justyna Cholewa-WaclawThe Wellcome Centre for Cell Biology, University of Edinburgh, EH9 3BF Edinburgh, United Kingdom.
Ruth ShahThe Wellcome Centre for Cell Biology, University of Edinburgh, EH9 3BF Edinburgh, United Kingdom.
Shaun WebbThe Wellcome Centre for Cell Biology, University of Edinburgh, EH9 3BF Edinburgh, United Kingdom.
Kashyap ChhatbarThe Wellcome Centre for Cell Biology, University of Edinburgh, EH9 3BF Edinburgh, United Kingdom.
Bernard RamsahoyeInstitute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital Campus, EH4 2XU Edinburgh, United Kingdom.
Oliver PuschCenter for Anatomy and Cell Biology, Medical University of Vienna, 1090 Vienna, Austria.
Miao YuLudwig Institute for Cancer Research, San Diego Branch, La Jolla, CA 92093.
Philip GreulichMathematical Sciences, University of Southampton, SO17 1BJ Southampton, United Kingdom.
Bartlomiej WaclawSchool of Physics and Astronomy, University of Edinburgh, EH9 3FD Edinburgh, United Kingdom bwaclaw@ph.ed.ac.uk a.bird@ed.ac.uk.ORCID 0000-0001-5355-7994
Adrian P BirdThe Wellcome Centre for Cell Biology, University of Edinburgh, EH9 3BF Edinburgh, United Kingdom; bwaclaw@ph.ed.ac.uk a.bird@ed.ac.uk.
Wellcome Centre for Cell Biology · GBLudwig Cancer Research · USMedical University of Vienna · ATUniversity of Edinburgh · GBUniversity of Southampton · GBWestern General Hospital · GB

Funding

Wellcome Trust 107930/Z/15/Z
6 · The paper itself

Abstract

Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here, we integrate quantitative, multidimensional experimental analysis and mathematical modeling to indicate that MeCP2 is a global transcriptional regulator whose binding to DNA creates "slow sites" in gene bodies. We hypothesize that waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shockwaves in nonequilibrium physics transport models. This mechanism differs from conventional gene-regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings point to a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene-expression patterns are choreographed.

Indexed as

DNA MethylationModels, TheoreticalAnimalsCell LineMethyl-CpG-Binding Protein 2MiceProtein BindingRNA Polymerase IITranscriptional ActivationTranscription Elongation, GeneticTranscription Initiation, GeneticMecp2 protein, mouseMethyl-CpG-Binding Protein 2RNA Polymerase IIDNA methylationgene regulationmathematical modellingMeCP2

Identifiers

PMID31289233
PMCPMC6660794
OpenAlexW2956837899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.