Evidence map›Paper›PMID 28379409›Full record

ArticleMolecular biology and evolution2017

DNA Methylation Divergence and Tissue Specialization in the Developing Mouse Placenta.

Benjamin E Decato, Jorge Lopez-Tello, Amanda N Sferruzzi-Perri, Andrew D Smith, Matthew D Dean

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Placental Function Beyond Pregnancy: Insights from Latin America.Advances in experimental medicine and biology · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Extensive Placental Methylation Profiling in Normal Pregnancies.International journal of molecular sciences · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. AgeGuess, a Methylomic Prediction Model for Human Ages.Frontiers in bioengineering and biotechnology · 2020
    Article
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

5 authors.

Benjamin E DecatoMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
Jorge Lopez-TelloDepartment of Physiology, Development, and Neuroscience, Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom.
Amanda N Sferruzzi-PerriDepartment of Physiology, Development, and Neuroscience, Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom.
Andrew D SmithMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
Matthew D DeanMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA.

Funding

Analytic tools to examine high-resolution and genome-scale DNA methylation dataR01HG005238 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SMITH, ANDREW DAVID · 2010 to 2013
$1.5M
Evolutionary and Functional Genetics of Male Reproduction using Wild Mice as a MoR01GM098536 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEAN, MATTHEW D · 2012 to 2016
$1.5M
NHGRI NIH HHS R01 HG005238NIGMS NIH HHS R01 GM098536
6 · The paper itself

Abstract

The placental epigenome plays a vital role in regulating mammalian growth and development. Aberrations in placental DNA methylation are linked to several disease states, including intrauterine growth restriction and preeclampsia. Studying the evolution and development of the placental epigenome is critical to understanding the origin and progression of such diseases. Although high-resolution studies have found substantial variation between placental methylomes of different species, the nature of methylome variation has yet to be characterized within any individual species. We conducted a study of placental DNA methylation at high resolution in multiple strains and closely related species of house mice (Mus musculus musculus, Mus m. domesticus, and M. spretus), across developmental timepoints (embryonic days 15-18), and between two distinct layers (labyrinthine transport and junctional endocrine). We observed substantial genome-wide methylation heterogeneity in mouse placenta compared with other differentiated tissues. Species-specific methylation profiles were concentrated in retrotransposon subfamilies, specifically RLTR10 and RLTR20 subfamilies. Regulatory regions such as gene promoters and CpG islands displayed cross-species conservation, but showed strong differences between layers and developmental timepoints. Partially methylated domains exist in the mouse placenta and widen during development. Taken together, our results characterize the mouse placental methylome as a highly heterogeneous and deregulated landscape globally, intermixed with actively regulated promoter and retrotransposon sequences.

Indexed as

DNA MethylationAnimalsCpG IslandsEpigenesis, GeneticFemaleGenomeMiceOrgan SpecificityPlacentaPregnancyPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidSpecies SpecificityDNA methylationepigenomejunctional zonelabyrinthine zoneplacenta

Identifiers

PMID28379409
PMCPMC6440273

What OpenQuestion holds

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Registered trials

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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.