Evidence map›Paper›PMID 24603652›Full record

ArticlePLoS genetics2014

Genome-wide DNA methylation analysis predicts an epigenetic switch for GATA factor expression in endometriosis.

Matthew T Dyson, Damian Roqueiro, Diana Monsivais, C Mutlu Ercan, Mary Ellen Pavone, David C Brooks, Toshiyuki Kakinuma, Masanori Ono, Nadereh Jafari, Yang Dai and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
19.9field-weighted citation impact, top 1% 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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 203 citations in OpenAlex.

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

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

11 authors at 2 institutions in 1 country.

Matthew T DysonDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Damian RoqueiroLaboratory of Computational Functional Genomics, Dept. Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Diana MonsivaisDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
C Mutlu ErcanDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Mary Ellen PavoneDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
David C BrooksDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Toshiyuki KakinumaDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Masanori OnoDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Nadereh JafariDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Yang DaiLaboratory of Computational Functional Genomics, Dept. Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Serdar E BulunDivision of Reproductive Biology Research, Dept. Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Northwestern University · USUniversity of Illinois Chicago · US

Funding

TRAINING IN METABOLISM, DIABETES AND ENDOCRINOLOGYT32DK007169 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Joseph Bass · 1988 to 2026
$6.6M
Endometriosis and RetinoidsR37HD038691 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BULUN, SERDAR E. · 2010 to 2019
$4.5M
NICHD NIH HHS R37 HD038691NICHD NIH HHS R37HD038691-12S1NIDDK NIH HHS T32 DK007169
6 · The paper itself

Abstract

Endometriosis is a gynecological disease defined by the extrauterine growth of endometrial-like cells that cause chronic pain and infertility. The disease is limited to primates that exhibit spontaneous decidualization, and diseased cells are characterized by significant defects in the steroid-dependent genetic pathways that typify this process. Altered DNA methylation may underlie these defects, but few regions with differential methylation have been implicated in the disease. We mapped genome-wide differences in DNA methylation between healthy human endometrial and endometriotic stromal cells and correlated this with gene expression using an interaction analysis strategy. We identified 42,248 differentially methylated CpGs in endometriosis compared to healthy cells. These extensive differences were not unidirectional, but were focused intragenically and at sites distal to classic CpG islands where methylation status was typically negatively correlated with gene expression. Significant differences in methylation were mapped to 403 genes, which included a disproportionally large number of transcription factors. Furthermore, many of these genes are implicated in the pathology of endometriosis and decidualization. Our results tremendously improve the scope and resolution of differential methylation affecting the HOX gene clusters, nuclear receptor genes, and intriguingly the GATA family of transcription factors. Functional analysis of the GATA family revealed that GATA2 regulates key genes necessary for the hormone-driven differentiation of healthy stromal cells, but is hypermethylated and repressed in endometriotic cells. GATA6, which is hypomethylated and abundant in endometriotic cells, potently blocked hormone sensitivity, repressed GATA2, and induced markers of endometriosis when expressed in healthy endometrial cells. The unique epigenetic fingerprint in endometriosis suggests DNA methylation is an integral component of the disease, and identifies a novel role for the GATA family as key regulators of uterine physiology-aberrant DNA methylation in endometriotic cells correlates with a shift in GATA isoform expression that facilitates progesterone resistance and disease progression.

Indexed as

Epigenesis, GeneticCpG IslandsDisease ProgressionDNA MethylationEndometriosisEndometriumFemaleGATA2 Transcription FactorGene Expression RegulationGenome, HumanHumansStromal CellsUterine DiseasesGATA2 Transcription Factor

Identifiers

PMID24603652
PMCPMC3945170
OpenAlexW2048280620

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.