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Cell-specific characterization of the placental methylome
by
Yuan, Victor
, Beristain, Alexander G.
, Peñaherrera, Maria S.
, Robinson, Wendy P.
, Yin, Yifan
, Hui, Desmond
in
Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Composition
/ Deoxyribonucleic acid
/ DNA
/ DNA fingerprinting
/ DNA Methylation
/ Endothelial Cells
/ EPIC array
/ Epigenesis, Genetic
/ Epigenetics
/ Epigenome
/ Female
/ Fetuses
/ Gene expression
/ Genes
/ Genetic aspects
/ Genomic imprinting
/ Genomics
/ Gestation
/ Gestational age
/ Human
/ Human and rodent genomics
/ Humans
/ Life Sciences
/ Macrophages
/ Methylation
/ Microarray
/ Microarrays
/ Microbial Genetics and Genomics
/ Physiological aspects
/ Placenta
/ Placenta - metabolism
/ Plant Genetics and Genomics
/ Populations
/ Pre-eclampsia
/ Pregnancy
/ Principal components analysis
/ Proteomics
/ Research Article
/ Stromal cells
/ Trophoblasts
2021
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Cell-specific characterization of the placental methylome
by
Yuan, Victor
, Beristain, Alexander G.
, Peñaherrera, Maria S.
, Robinson, Wendy P.
, Yin, Yifan
, Hui, Desmond
in
Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Composition
/ Deoxyribonucleic acid
/ DNA
/ DNA fingerprinting
/ DNA Methylation
/ Endothelial Cells
/ EPIC array
/ Epigenesis, Genetic
/ Epigenetics
/ Epigenome
/ Female
/ Fetuses
/ Gene expression
/ Genes
/ Genetic aspects
/ Genomic imprinting
/ Genomics
/ Gestation
/ Gestational age
/ Human
/ Human and rodent genomics
/ Humans
/ Life Sciences
/ Macrophages
/ Methylation
/ Microarray
/ Microarrays
/ Microbial Genetics and Genomics
/ Physiological aspects
/ Placenta
/ Placenta - metabolism
/ Plant Genetics and Genomics
/ Populations
/ Pre-eclampsia
/ Pregnancy
/ Principal components analysis
/ Proteomics
/ Research Article
/ Stromal cells
/ Trophoblasts
2021
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Cell-specific characterization of the placental methylome
by
Yuan, Victor
, Beristain, Alexander G.
, Peñaherrera, Maria S.
, Robinson, Wendy P.
, Yin, Yifan
, Hui, Desmond
in
Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Composition
/ Deoxyribonucleic acid
/ DNA
/ DNA fingerprinting
/ DNA Methylation
/ Endothelial Cells
/ EPIC array
/ Epigenesis, Genetic
/ Epigenetics
/ Epigenome
/ Female
/ Fetuses
/ Gene expression
/ Genes
/ Genetic aspects
/ Genomic imprinting
/ Genomics
/ Gestation
/ Gestational age
/ Human
/ Human and rodent genomics
/ Humans
/ Life Sciences
/ Macrophages
/ Methylation
/ Microarray
/ Microarrays
/ Microbial Genetics and Genomics
/ Physiological aspects
/ Placenta
/ Placenta - metabolism
/ Plant Genetics and Genomics
/ Populations
/ Pre-eclampsia
/ Pregnancy
/ Principal components analysis
/ Proteomics
/ Research Article
/ Stromal cells
/ Trophoblasts
2021
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Journal Article
Cell-specific characterization of the placental methylome
2021
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Overview
Background
DNA 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.
Results
The 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.
Conclusions
Our 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.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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