Evidence map›Paper›PMID 29107996›Full record

ArticlePLoS genetics2017

Epigenetic memory via concordant DNA methylation is inversely correlated to developmental potential of mammalian cells.

Minseung Choi, Diane P Genereux, Jamie Goodson, Haneen Al-Azzawi, Shannon Q Allain, Noah Simon, Stan Palasek, Carol B Ware, Chris Cavanaugh, Daniel G Miller and 4 more

Abstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

14 authors.

Minseung ChoiDepartment of Biology, University of Washington, Seattle, Washington, United States of America.ORCID http://orcid.org/0000-0001-5398-219X
Diane P GenereuxBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.ORCID http://orcid.org/0000-0001-5770-0989
Jamie GoodsonDepartment of Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America.
Haneen Al-AzzawiSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire, United Kingdom.
Shannon Q AllainDepartment of Biology, University of Washington, Seattle, Washington, United States of America.
Noah SimonDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Stan PalasekDepartment of Mathematics, Princeton University, Princeton, New Jersey, United States of America.
Carol B WareDepartment of Comparative Medicine, University of Washington School of Medicine, Seattle, Washington, United States of America.ORCID http://orcid.org/0000-0002-7171-6685
Chris CavanaughDepartment of Comparative Medicine, University of Washington School of Medicine, Seattle, Washington, United States of America.ORCID http://orcid.org/0000-0003-3230-0422
Daniel G MillerInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America.
Winslow C JohnsonDepartment of Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Kevin D SinclairSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire, United Kingdom.ORCID http://orcid.org/0000-0002-6375-215X
Reinhard StögerSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire, United Kingdom.ORCID http://orcid.org/0000-0002-2301-0805
Charles D LairdDepartment of Biology, University of Washington, Seattle, Washington, United States of America.

Funding

Restoring FMRP Phenotypes Frpm Temporal Regional and Splice- Isoforms VarationsP30HD002274 · NICHD · UNIVERSITY OF WASHINGTON · PI GURALNICK, MICHAEL J · 1985 to 2013
$33.6M
Data-Driven Statistical Learning with Applications to GenomicsDP5OD019820 · OD · UNIVERSITY OF WASHINGTON · PI SIMON, NOAH · 2014 to 2018
$1.7M
Shotgun Hairpin-Bisulfite PCR Reveals Genome Methylation and Sequence VariationR01GM077464 · NIGMS · UNIVERSITY OF WASHINGTON · PI LAIRD, CHARLES D · 2006 to 2008
$773k
NICHD NIH HHS P30 HD002274NIGMS NIH HHS R01 GM077464NIH HHS DP5 OD019820
6 · The paper itself

Abstract

In storing and transmitting epigenetic information, organisms must balance the need to maintain information about past conditions with the capacity to respond to information in their current and future environments. Some of this information is encoded by DNA methylation, which can be transmitted with variable fidelity from parent to daughter strand. High fidelity confers strong pattern matching between the strands of individual DNA molecules and thus pattern stability over rounds of DNA replication; lower fidelity confers reduced pattern matching, and thus greater flexibility. Here, we present a new conceptual framework, Ratio of Concordance Preference (RCP), that uses double-stranded methylation data to quantify the flexibility and stability of the system that gave rise to a given set of patterns. We find that differentiated mammalian cells operate with high DNA methylation stability, consistent with earlier reports. Stem cells in culture and in embryos, in contrast, operate with reduced, albeit significant, methylation stability. We conclude that preference for concordant DNA methylation is a consistent mode of information transfer, and thus provides epigenetic stability across cell divisions, even in stem cells and those undergoing developmental transitions. Broader application of our RCP framework will permit comparison of epigenetic-information systems across cells, developmental stages, and organisms whose methylation machineries differ substantially or are not yet well understood.

Indexed as

Cell DifferentiationDNA MethylationEpigenesis, GeneticAnimalsCCAAT-Enhancer-Binding ProteinsCells, CulturedDNA (Cytosine-5-)-Methyltransferase 1DNA ReplicationEmbryonic Stem CellsFemaleFibroblastsGenetic LociHumansMaleMiceNuclear ProteinsCCAAT-Enhancer-Binding ProteinsDMAP1 protein, humanDNA (Cytosine-5-)-Methyltransferase 1Dnmt1 protein, mouseNuclear ProteinsRepressor ProteinsUbiquitin-Protein LigasesUhrf1 protein, mouse

Identifiers

PMID29107996
PMCPMC5690686

What OpenQuestion holds

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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.