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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [Multiome]

ABSTRACT: Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [Multiome]

PROVIDER: PRJNA1048911 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR27106015_1.fastq.gz	Fastqsanger.gz
	SRR27106015_2.fastq.gz	Fastqsanger.gz
	SRR27106016_1.fastq.gz	Fastqsanger.gz
	SRR27106016_2.fastq.gz	Fastqsanger.gz
	SRR27106017_1.fastq.gz	Fastqsanger.gz

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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [Multiome]

Project description:Teratoma formation is key for evaluating differentiation of human pluripotent stem cells into embryonic germ layers and serves as a model for understanding stem cell differentiation and developmental processes. Its potential for insights into epigenome and transcriptome profiling is significant. This study integrates the analysis of the epigenome and transcriptome of hESC-generated teratomas, comparing transcriptomes between hESCs and teratomas. It employs cell type-specific expression patterns from single-cell data to deconvolve RNA-Seq data and identify cell types within teratomas. Our results provide a catalog of activating and repressive histone modifications, while also elucidating distinctive features of chromatin states. Construction of an epigenetic signature matrix enabled the quantification of diverse cell populations in teratomas and enhanced the ability to unravel the epigenetic landscape in heterogeneous tissue contexts. This study also includes a single cell multiome atlas of expression (scRNA-Seq) and chromatin accessibility (scATAC-Seq) of human teratomas, further revealing the complexity of these tissues. A histology-based digital staining tool further complemented the annotation of cell types in teratomas, enhancing our understanding of their cellular composition. This research is a valuable resource for examining teratoma epigenomic and transcriptomic landscapes and serves as a model for epigenetic data comparison.

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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling

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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [RNA-seq]

Project description:Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [RNA-seq]

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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling [ChIP-seq]

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Decoding the Universal Human Chromatin Landscape through Teratoma-Based Profiling

Project description:This SuperSeries is composed of the SubSeries listed below.

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