Dataset Information

Recurrent Variations in DNA Methylation in Human Pluripotent Stem Cells and their Differentiated Derivatives [Illumina HT12v3 Gene Expression]

ABSTRACT: Human pluripotent stem cells (hPSCs) are potential sources of cells for modeling disease and development, drug discovery, and regenerative medicine. However, it is important to identify factors that may impact the utility of hPSCs for these applications. In an unbiased analysis of 205 hPSC and 130 somatic samples, we identified hPSC-specific epigenetic and transcriptional aberrations in genes subject to X chromosome inactivation (XCI) and genomic imprinting, which were not corrected during directed differentiation. We also found that specific tissue types were distinguished by unique patterns of DNA hypomethylation, which were recapitulated by DNA demethylation during in vitro directed differentiation. Our results suggest that verification of baseline epigenetic status is critical for hPSC-based disease models in which the observed phenotype depends on proper XCI or imprinting, and that tissue-specific DNA methylation patterns can be accurately modeled during directed differentiation of hPSCs, even in the presence of variations in XCI or imprinting.

ORGANISM(S): Homo sapiens

PROVIDER: GSE30652 | GEO | 2012/05/14

SECONDARY ACCESSION(S): PRJNA154673

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:In naïve human pluripotent stem cells (hPSCs) that represent the pre-implantation embryonic states, epigenetic regulators for cell identity remain poorly defined. One of the major remaining questions in naïve stem cell biology is how female cells mediate and regulate X chromosome inactivation (XCI). Recent studies incorporating single-cell RNA sequencing (scRNA-seq) have demonstrated that transcript-based technologies are insufficient to unequivocally resolve XCI regulation in a human system. Instead, 3D genomics shows immense promise for studying XCI by interrogating changes to the X chromosomes’ 3D states. Here, we sought to characterize the 3D state of the X chromosome in naïve and primed hPSCs. Using chromatin tracing, we analyzed the folding conformations of whole X chromosomes with megabase genomic resolution in multiple naïve and primed hPSC lines. Our data found that X chromosomes in female naive hPSCs exhibit a range of spatial folding conformations similar to the active X chromosome (Xa) and the inactive X chromosome (Xi) in somatic cells; these data suggest that naïve hPSCs have initiated XCI. As XCI process ultimately generates detectable differences in volume between the Xa and the Xi, we measured the radius of gyration of individual X chromosome copies across various hPSC cell lines and culture conditions. In naïve hPSCs, our results show that the X chromosomes with Xi-like conformations are not more compact than those with Xa-like conformation. This finding is directly counter to the Xi compaction typically observed in post-XCI female somatic cells. These contradictory 3D signatures of XCI suggest that female naïve hPSCs have initiated the XCI process, but are poised before XCI-driven silencing in a metastable state. As observed in H7 naïve hPSCs, this metastable state can be abolished through classically noted means, such as the loss of Xp chromatin, leading to the deleted p X chromosome (dXp). The Xp loss observed here seems to drive XIST expression and accumulation around the dXp chromosome. Overall, our findings provide insight into the previously undefined X chromosome status in naïve hPSCs in single chromosome resolution, and are critical in understanding the unique epigenetic regulation in early embryonic cells.

Dataset Information

Recurrent Variations in DNA Methylation in Human Pluripotent Stem Cells and their Differentiated Derivatives [Illumina HT12v3 Gene Expression]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets