The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Epigenetic resetting of human pluripotency
Open accessAbstract
Much attention has focussed on the conversion of human pluripotent stem cells (PSCs) to a more naïve developmental status. Here we provide a method for resetting via transient histone deacetylase inhibition. The protocol is effective across multiple PSC lines and can proceed without karyotype change. Reset cells can be expanded without feeders with a doubling time of around 24 h. WNT inhibition stabilises the resetting process. The transcriptome of reset cells diverges markedly from that of primed PSCs and shares features with human inner cell mass (ICM). Reset cells activate expression of primate-specific transposable elements. DNA methylation is globally reduced to a level equivalent to that in the ICM and is non-random, with gain of methylation at specific loci. Methylation imprints are mostly lost, however. Reset cells can be re-primed to undergo tri-lineage differentiation and germline specification. In female reset cells, appearance of biallelic X-linked gene transcription indicates reactivation of the silenced X chromosome. On reconversion to primed status, XIST-induced silencing restores monoallelic gene expression. The facile and robust conversion routine with accompanying data resources will enable widespread utilisation, interrogation, and refinement of candidate naïve cells.
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Cites
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Human organoids: model systems for human biology and medicine
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Metadata
- Authors
- Guo, G., von Meyenn, F., Rostovskaya, M., Clarke, J., Dietmann, S., Baker, D., Sahakyan, A., Myers, S., Bertone, P., Reik, W., Plath, K., & Smith, A.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2017-08-01
- Volume
- 144
- Issue
- 15
- Pages
- 2748-2763
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2952949965
- Cited by
- 319
- References
- 97
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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