Evidence map›Paper›PMID 40493036›Full record

ArticleeLife2025

Assessment of the histone mark-based epigenomic landscape in human myometrium at term pregnancy.

San Pin Steve Wu, Elvis Quiroz, Tianyuan Wang, Skylar G Montague Redecke, Xin Xu, Lin Lin, Matthew L Anderson, Francesco J DeMayo

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

San Pin Steve Wu *Reproductive and Developmental Biology Laboratory, National Institue of Environmental Health Sciences, National Institutes of Health, Durham, United States.ORCID https://orcid.org/0000-0001-9626-784X
Elvis Quiroz *Reproductive and Developmental Biology Laboratory, National Institue of Environmental Health Sciences, National Institutes of Health, Durham, United States.ORCID https://orcid.org/0009-0000-8702-8054
Tianyuan WangBiostatistics and Computational Biology Branch, University of South Florida Morsani College of Medicine and Moffitt Cancer Center, Tampa, United States.ORCID https://orcid.org/0000-0002-3970-0771
Skylar G Montague RedeckeReproductive and Developmental Biology Laboratory, National Institue of Environmental Health Sciences, National Institutes of Health, Durham, United States.
Xin XuEpigenomic and DNA Sequencing Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, United States.ORCID https://orcid.org/0000-0003-2294-0047
Lin LinReproductive and Developmental Biology Laboratory, National Institue of Environmental Health Sciences, National Institutes of Health, Durham, United States.ORCID https://orcid.org/0000-0002-3228-5739
Matthew L AndersonDepartment of Obstetrics and Gynecology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, United States.ORCID https://orcid.org/0000-0002-2081-4672
Francesco J DeMayoReproductive and Developmental Biology Laboratory, National Institue of Environmental Health Sciences, National Institutes of Health, Durham, United States.ORCID https://orcid.org/0000-0002-9480-7336

Funding

Gaine Research Fund GRF-2018-01NIEHS NIH HHS NIEHS Scholar Connect Program FellowshipNIEHS NIH HHS Z1AES103311NIH HHS NIH Intramural Training Program Fellowship
6 · The paper itself

Abstract

The myometrium plays a critical role during pregnancy as it is responsible for both the structural integrity of the uterus and force generation at term. Emerging studies in mice indicate a dynamic change of the myometrial epigenome and transcriptome during pregnancy to ready the contractile machinery for parturition. However, the regulatory systems underlying myometrial gene expression patterns throughout gestation remain largely unknown. Here, we investigated human term pregnant nonlabor myometrial biopsies for transcriptome, enhancer histone mark cistrome, and chromatin conformation pattern mapping. More than thirty thousand putative enhancers with H3K27ac and H3K4me1 double positive marks were identified in the myometrium. Enriched transcription factor binding motifs include known myometrial regulators AP-1, STAT, NFkB, and PGR among others. Putative myometrial super enhancers are mostly colocalized with progesterone receptor-occupying sites and preferentially associated with highly expressing genes, suggesting a conserved role of PGR in regulating the myometrial transcriptome between species. In human myometrial specimens, inferred PGR activities are positively correlated with phospholipase C like 2 (

Indexed as

Epigenesis, GeneticEpigenomeHistone CodeHistonesMyometriumEpigenomicsFemaleHumansPregnancyTranscriptomeHistonescell biologychromatingeneticsgenomicshumanmyometriumProgesterone

Identifiers

PMID40493036
PMCPMC12151536

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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.