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Genome engineering technologies in rabbits

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2021Embargo end date: 05 Oct 2022 United States Publisher:Journal of Biomedical ResearchJournal:The Journal of Biomedical Research, volume 35, page 135 (issn: 1674-8301, Copyright policy )
Authors: Song, J; Zhang, J; Xu, J; Garcia-Barrio, M; Eugene Chen, Y; Yang, D;

doi: 10.7555/jbr.34.20190133 , 10.7302/6525

pmid: 32934190

pmc: PMC8038526

handle: 2027.42/174896

Genome engineering technologies in rabbits

Abstract

The rabbit has been recognized as a valuable model in various biomedical and biological research fields because of its intermediate size and phylogenetic proximity to primates. However, the technology for precise genome manipulations in rabbit has been stalled for decades, severely limiting its applications in biomedical research. Novel genome editing technologies, especially CRISPR/Cas9, have remarkably enhanced precise genome manipulation in rabbits, and shown their superiority and promise for generating rabbit models of human genetic diseases. In this review, we summarize the brief history of transgenic rabbit technology and the development of novel genome editing technologies in rabbits.

Country
United States
Related Organizations
Keywords

base editing, rabbit, genome editing, Review Article, gene targeting, transgenic animal

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
gold