Evidence map›Paper›PMID 24381246›Full record

ArticleeLife2013

Chromatin signature of widespread monoallelic expression.

Anwesha Nag, Virginia Savova, Ho-Lim Fung, Alexander Miron, Guo-Cheng Yuan, Kun Zhang, Alexander A Gimelbrant

Open access · goldAbstract read
In one paragraph

Article in eLife, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  17. Parental bias in expression and interaction of genes in the equine placenta.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

7 authors at 3 institutions in 1 country.

Anwesha NagDepartment of Cancer Biology and Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, United States.
Virginia Savova
Ho-Lim Fung
Alexander Miron
Guo-Cheng Yuan
Kun Zhang
Alexander A Gimelbrant
Dana-Farber Cancer Institute · USUniversity of California, San Diego · USHarvard University · US

Funding

Genome-methylome InteractionsR01GM097253 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, KUN · 2011 to 2014
$1.4M
NIGMS NIH HHS R01 GM097253NIGMS NIH HHS R01GM097253
6 · The paper itself

Abstract

In mammals, numerous autosomal genes are subject to mitotically stable monoallelic expression (MAE), including genes that play critical roles in a variety of human diseases. Due to challenges posed by the clonal nature of MAE, very little is known about its regulation; in particular, no molecular features have been specifically linked to MAE. In this study, we report an approach that distinguishes MAE genes in human cells with great accuracy: a chromatin signature consisting of chromatin marks associated with active transcription (H3K36me3) and silencing (H3K27me3) simultaneously occurring in the gene body. The MAE signature is present in ∼20% of ubiquitously expressed genes and over 30% of tissue-specific genes across cell types. Notably, it is enriched among key developmental genes that have bivalent chromatin structure in pluripotent cells. Our results open a new approach to the study of MAE that is independent of polymorphisms, and suggest that MAE is linked to cell differentiation. DOI: http://dx.doi.org/10.7554/eLife.01256.001.

Indexed as

AllelesChromatinGene SilencingHumansTranscription, GeneticChromatinAST-Seqbivalentchromatinepigenomemonoallelic expression

Identifiers

PMID24381246
PMCPMC3873816
OpenAlexW2166889662

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.