Evidence map›Paper›PMID 33407091›Full record

ArticleBMC genomics2021

Cell-specific characterization of the placental methylome.

Victor Yuan, Desmond Hui, Yifan Yin, Maria S Peñaherrera, Alexander G Beristain, Wendy P Robinson

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
–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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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28 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

6 authors.

Victor YuanBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Desmond HuiBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Yifan YinBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Maria S PeñaherreraBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Alexander G BeristainBC Children's Hospital Research Institute, Vancouver, BC, Canada. alexander.beristain@ubc.ca.
Wendy P RobinsonBC Children's Hospital Research Institute, Vancouver, BC, Canada. wrobinson@bcchr.ca.ORCID http://orcid.org/0000-0002-2010-6174

Funding

Using 'omics to build an atlas of placental development and function across pregnancyR01HD089713 · NICHD · UNIVERSITY OF BRITISH COLUMBIA · PI ROBINSON, WENDY · 2016 to 2020
$1.2M
NICHD NIH HHS R01 HD089713NIH HHS 1R01HD089713-01
6 · The paper itself

Abstract

backgroundDNA methylation (DNAm) profiling has emerged as a powerful tool for characterizing the placental methylome. However, previous studies have focused primarily on whole placental tissue, which is a mixture of epigenetically distinct cell populations. Here, we present the first methylome-wide analysis of first trimester (n = 9) and term (n = 19) human placental samples of four cell populations: trophoblasts, Hofbauer cells, endothelial cells, and stromal cells, using the Illumina EPIC methylation array, which quantifies DNAm at > 850,000 CpGs.

resultsThe most distinct DNAm profiles were those of placental trophoblasts, which are central to many pregnancy-essential functions, and Hofbauer cells, which are a rare fetal-derived macrophage population. Cell-specific DNAm occurs at functionally-relevant genes, including genes associated with placental development and preeclampsia. Known placental-specific methylation marks, such as those associated with genomic imprinting, repetitive element hypomethylation, and placental partially methylated domains, were found to be more pronounced in trophoblasts and often absent in Hofbauer cells. Lastly, we characterize the cell composition and cell-specific DNAm dynamics across gestation.

conclusionsOur results provide a comprehensive analysis of DNAm in human placental cell types from first trimester and term pregnancies. This data will serve as a useful DNAm reference for future placental studies, and we provide access to this data via download from GEO (GSE159526), through interactive exploration from the web browser ( https://robinsonlab.shinyapps.io/Placental_Methylome_Browser/ ), and through the R package planet, which allows estimation of cell composition directly from placental DNAm data.

Indexed as

Epigenesis, GeneticEpigenomeDNA MethylationEndothelial CellsFemaleHumansPlacentaPregnancyDNA methylationEPIC arrayEpigeneticsEWASHumanImmune cellsMicroarrayPlacentaPregnancyTrophoblasts

Identifiers

PMID33407091
PMCPMC7788826

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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.