Evidence map›Paper›PMID 26492326›Full record

ArticlePLoS genetics2015

DNA Methylation Landscapes of Human Fetal Development.

Roderick C Slieker, Matthias S Roost, Liesbeth van Iperen, H Eka D Suchiman, Elmar W Tobi, Françoise Carlotti, Eelco J P de Koning, P Eline Slagboom, Bastiaan T Heijmans, Susana M Chuva de Sousa Lopes

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. New insights into the (epi)genetics of twinning.Human reproduction (Oxford, England) · 2024
    Pooled it
  3. Global epigenetic immunohistochemical markers reveal developmental connections of distinct cell types during fetal development.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  4. Risk of congenital anomalies among infants of patients with endometriosis: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
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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 2 institutions in 2 countries.

Roderick C SliekerMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Matthias S RoostDepartment of Anatomy and Embryology, Leiden University Medical Center, Leiden, The Netherlands.
Liesbeth van IperenDepartment of Anatomy and Embryology, Leiden University Medical Center, Leiden, The Netherlands.
H Eka D SuchimanMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Elmar W TobiMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Françoise CarlottiDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
Eelco J P de KoningDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands; Hubrecht Institute, Utrecht, The Netherlands.
P Eline SlagboomMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Bastiaan T HeijmansMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Susana M Chuva de Sousa LopesDepartment of Anatomy and Embryology, Leiden University Medical Center, Leiden, The Netherlands; Department for Reproductive Medicine, Ghent University Hospital, Ghent, Belgium.
Leiden University Medical Center · NLHubrecht Institute for Developmental Biology and Stem Cell Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remodelling the methylome is a hallmark of mammalian development and cell differentiation. However, current knowledge of DNA methylation dynamics in human tissue specification and organ development largely stems from the extrapolation of studies in vitro and animal models. Here, we report on the DNA methylation landscape using the 450k array of four human tissues (amnion, muscle, adrenal and pancreas) during the first and second trimester of gestation (9,18 and 22 weeks). We show that a tissue-specific signature, constituted by tissue-specific hypomethylated CpG sites, was already present at 9 weeks of gestation (W9). Furthermore, we report large-scale remodelling of DNA methylation from W9 to W22. Gain of DNA methylation preferentially occurred near genes involved in general developmental processes, whereas loss of DNA methylation mapped to genes with tissue-specific functions. Dynamic DNA methylation was associated with enhancers, but not promoters. Comparison of our data with external fetal adrenal, brain and liver revealed striking similarities in the trajectory of DNA methylation during fetal development. The analysis of gene expression data indicated that dynamic DNA methylation was associated with the progressive repression of developmental programs and the activation of genes involved in tissue-specific processes. The DNA methylation landscape of human fetal development provides insight into regulatory elements that guide tissue specification and lead to organ functionality.

Indexed as

Epigenesis, GeneticAdrenal GlandsAmnionCell DifferentiationCpG IslandsDNA MethylationFemaleFetal DevelopmentGene Expression Regulation, DevelopmentalGenome, HumanHumansMuscle, SkeletalOrgan SpecificityPancreasPregnancyPregnancy Trimester, First

Identifiers

PMID26492326
PMCPMC4619663
OpenAlexW1944020248

What OpenQuestion holds

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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.