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Cited by 235

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Impeding Xist Expression from the Active X Chromosome Improves Mouse Somatic Cell Nuclear Transfer

Inoue, Kimiko, Kohda, Takashi, Sugimoto, Michihiko, Sado, Takashi, Ogonuki, Narumi, Matoba, Shogo, Shiura, Hirosuke, Ikeda, Rieko, Mochida, Keiji, Fujii, Takashi, Sawai, Ken, Otte, Arie P., Tian, X. Cindy, Yang, Xiangzhong, Ishino, Fumitoshi, Abe, Kuniya, Ogura, Atsuo·2010·Science

Abstract

Cloning Futures: Cloning mammals by somatic cell nuclear transfer is a technique with many potential applications in regenerative medicine, agriculture, and pharmaceutics; however, it is inefficient because of the incidence of aberrant genomic reprogramming. Inoue et al. (p. 496 , published online 16 September) found that the gene product of Xist , which normally inactivates one of the two X chromosomes in females, was unexpectedly expressed ectopically from active X chromosomes in cloned mice. When Xist was deleted from the mice, gene expression returned to normal and the efficiency of somatic cell nuclear transfer increased about ninefold, offering promise for future nuclear transfer technology.

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Metadata

Authors
Inoue, K., Kohda, T., Sugimoto, M., Sado, T., Ogonuki, N., Matoba, S., Shiura, H., Ikeda, R., Mochida, K., Fujii, T., Sawai, K., Otte, A. P., Tian, X. C., Yang, X., Ishino, F., Abe, K., & Ogura, A.
Venue
Science
Published
2010-10-22
Volume
330
Issue
6003
Pages
496-499
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2050608300
Cited by
235
References
0
FWCI
14.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impeding Xist Expression from the Active X Chromosome Improves Mouse Somatic Cell Nuclear Transfer. https://app.cochat.ai/papers/10.1126/science.1194174
The paper
Inoue, K., Kohda, T., Sugimoto, M., Sado, T., Ogonuki, N., Matoba, S., Shiura, H., Ikeda, R., Mochida, K., Fujii, T., Sawai, K., Otte, A. P., Tian, X. C., Yang, X., Ishino, F., Abe, K., & Ogura, A. (2010). Impeding Xist Expression from the Active X Chromosome Improves Mouse Somatic Cell Nuclear Transfer. Science. https://doi.org/10.1126/science.1194174

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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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