Project description: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 dbGAP (phs002013.v1.p1), 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.
Project description: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.
Project description:Tissue specific DNA methylation is present across many genomic elements, including large genomic regions. Most human tissues posses highly methylated genomes (>70%), but recent data has suggested the presence of partially methylated domains (PMDs) in some cell-lines. Placenta is a unique human tissue which has very different molecular properties than most tissues. It is the aim of this study to identify the presence/absence of PMDs in placental tissue and further define the DNA methylation landscape of the placenta. In particular this experiment is designed to look at the placental methylome across gestational ages in chromosome 21 to detect methylomic differences throughout development.
Project description:The placental DNA methylation landscape is unique, with widespread partially methylated domains (PMDs) and hundreds of placental-specific imprinted domains. Furthermore, the placental ‘methylome’ has been the focus of extensive study for links with pregnancy complications. Human trophoblast stem cells (hTSCs) offer exciting potential for functional epigenetic studies; however, whether the hTSC epigenome recapitulates primary cytotrophoblast, remains poorly described. In this study, we demonstrate that hTSCs exhibit an atypical methylome, with DNA methylation present over transcribed gene bodies but a complete loss of placental PMDs. Using single-cell RNA-seq from human embryogenesis, hTSCs display a notable absence of DNMT3L expression. Ectopic expression of DNMT3L in hTSCs restored placental PMDs. DNMT3L-expressing hTSCs showed comparable stemness but failed to syncytialise in organoid culture, associated with hypermethylation of STB transcription factor motifs. These findings reveal that DNMT3L is essential in establishing the human placental methylome and that DNMT3L downregulation is necessary for successful trophoblast differentiation.
Project description:The placental DNA methylation landscape is unique, with widespread partially methylated domains (PMDs) and hundreds of placental-specific imprinted domains. Furthermore, the placental ‘methylome’ has been the focus of extensive study for links with pregnancy complications. Human trophoblast stem cells (hTSCs) offer exciting potential for functional epigenetic studies; however, whether the hTSC epigenome recapitulates primary cytotrophoblast, remains poorly described. In this study, we demonstrate that hTSCs exhibit an atypical methylome, with DNA methylation present over transcribed gene bodies but a complete loss of placental PMDs. Using single-cell RNA-seq from human embryogenesis, hTSCs display a notable absence of DNMT3L expression. Ectopic expression of DNMT3L in hTSCs restored placental PMDs. DNMT3L-expressing hTSCs showed comparable stemness but failed to syncytialise in organoid culture, associated with hypermethylation of STB transcription factor motifs. These findings reveal that DNMT3L is essential in establishing the human placental methylome and that DNMT3L downregulation is necessary for successful trophoblast differentiation.
Project description:The placental DNA methylation landscape is unique, with widespread partially methylated domains (PMDs) and hundreds of placental-specific imprinted domains. Furthermore, the placental ‘methylome’ has been the focus of extensive study for links with pregnancy complications. Human trophoblast stem cells (hTSCs) offer exciting potential for functional epigenetic studies; however, whether the hTSC epigenome recapitulates primary cytotrophoblast, remains poorly described. In this study, we demonstrate that hTSCs exhibit an atypical methylome, with DNA methylation present over transcribed gene bodies but a complete loss of placental PMDs. Using single-cell RNA-seq from human embryogenesis, hTSCs display a notable absence of DNMT3L expression. Ectopic expression of DNMT3L in hTSCs restored placental PMDs. DNMT3L-expressing hTSCs showed comparable stemness but failed to syncytialise in organoid culture, associated with hypermethylation of STB transcription factor motifs. These findings reveal that DNMT3L is essential in establishing the human placental methylome and that DNMT3L downregulation is necessary for successful trophoblast differentiation.
Project description:In this study, we screened human placental samples for allele-specific methylation and subsequently novel imprinted genes associated with these regions. We used reduced representation bisulfite sequencing to identify partially methylated CpG islands (CGIs) in the human placental genome. We were able to delineate potential candidates for allele-specific methylation based on the calculation of a concordance statistic. Amongst the 28 regions chosen for validation based on high levels of expression, two regions were shown to exhibit allele-specific expression. Single base-resolution methylation analysis in the placental genome and RNA-Seq