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Cited by 931

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Nuclear Reprogramming of Somatic Cells After Fusion with Human Embryonic Stem Cells

Cowan, Chad A., Atienza, Jocelyn, Melton, Douglas A., Eggan, Kevin·2005·Science

Abstract

We have explored the use of embryonic stem cells as an alternative to oocytes for reprogramming human somatic nuclei. Human embryonic stem (hES) cells were fused with human fibroblasts, resulting in hybrid cells that maintain a stable tetraploid DNA content and have morphology, growth rate, and antigen expression patterns characteristic of hES cells. Differentiation of hybrid cells in vitro and in vivo yielded cell types from each embryonic germ layer. Analysis of genome-wide transcriptional activity, reporter gene activation, allele-specific gene expression, and DNA methylation showed that the somatic genome was reprogrammed to an embryonic state. These results establish that hES cells can reprogram the transcriptional state of somatic nuclei and provide a system for investigating the underlying mechanisms.

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Crossref · 10.1126/science.1116447

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Metadata

Authors
Cowan, C. A., Atienza, J., Melton, D. A., & Eggan, K.
Venue
Science
Published
2005-08-26
Volume
309
Issue
5739
Pages
1369-1373
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2100761325
Cited by
931
References
26
FWCI
29.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nuclear Reprogramming of Somatic Cells After Fusion with Human Embryonic Stem Cells. https://app.cochat.ai/papers/10.1126/science.1116447
The paper
Cowan, C. A., Atienza, J., Melton, D. A., & Eggan, K. (2005). Nuclear Reprogramming of Somatic Cells After Fusion with Human Embryonic Stem Cells. Science. https://doi.org/10.1126/science.1116447

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.