Dataset Information

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE229719 | GEO | 2024/01/29

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Studying early human developmental processes requires access to a model system that is easy to perturb, either genetically or chemically, genetically tractable and recapitulates key features of organogenesis. We propose that the teratoma, a recognized standardused for for validating pluripotency in stem cells, could be a promising platform for modeling human development. Teratomas differentiate to all germ layers, have regions of complex tissue-like organization with internal vasculature, and are relatively easy to generate and thus accessible, especially in comparison to human fetal tissue. Teratomas, however, have not been characterized rigorously to determine their suitability to model human developmental processes the diversity and identities of the cell types present, and their level of maturity in comparison to human developmental cell types. We thus systematically analyzed, perturbed, and engineered human pluripotent stem cell (PSC)-derived teratomas. Usingused histology, RNA in situ hybridization, and single cell RNA-seq (scRNA-seq) of 179,632 cells across 23 teratomas generated from 4 cell lines, we observed to find that teratomas reproducibly contain approximatelyat least 20 cell types across all three germ layers, and the cell type heterogeneity between teratomas was comparable to that found in organoid systems. We found that a significant fraction of injected PSCs engrafted, suggestingused lentiviral barcoding to determine there is minimalno bottlenecking during teratoma formation. Additionally, we mapped our teratoma data to published human fetal data and showed that the teratoma gut and brain cell types correspond well to existing fetal gut and brain scRNA-seq datasetscells. We then performed a CRISPR-Cas9 knockout screen in teratomas targeting key genes known to be embryonic lethal, and found that TWIST1, RUNX1, ASCL1, CDX2, and KLF6 knockouts resulted in assessed shifts in lineage abundance. using scRNA-seq. We found that TWIST1, RUNX1, ASCL1, CDX2, and KLF6 knockouts resulted in reproducible shifts in lineage abundance consistent with known biology. All of these These knockouts had effects on cell types from multiple germ layers, showing that the teratoma can serve as a platform to studymodel all major human lineages of human development simultaneously. Additionally, we ran a CRISPR-Cas9 screen targetingWe also knocked out the genes underlying Rett, Pitt-Hopkins, and L1 Syndromes and identified cell type specific shifts in gene expression. Finally, we engineered a novel miRNA-regulated suicide gene circuit that enriches for tissues in the teratoma that express a specific miRNA that selectively depletes cells that do not express a tissue-specific endogenous miRNA, allowing us to enrich for desired lineages in the teratoma, which we demonstrated using miR-124 to enrich for neuro-ectoderm. Specifically, we used miR-124 to successfully enrich for neuro-ectoderm. Taken together, we believe the teratoma is a promising platform for modeling multi-lineage human development, functional genetic screening, and cellular engineering

Dataset Information

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

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets