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Perfecting Targeting in CRISPR.
Zhang, Hainan; Li, Tong; Sun, Yidi; Yang, Hui.
Afiliación
  • Zhang H; Institute of Neuroscience, Key Laboratory of Primate Neurobiology, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai Institutes for Biological Sciences, Chinese Acade
  • Li T; Shanghai Center for Brain Science and Brain-Inspired Technology, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.
  • Sun Y; Institute of Neuroscience, Key Laboratory of Primate Neurobiology, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai Institutes for Biological Sciences, Chinese Acade
  • Yang H; Institute of Neuroscience, Key Laboratory of Primate Neurobiology, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai Institutes for Biological Sciences, Chinese Acade
Annu Rev Genet ; 55: 453-477, 2021 11 23.
Article en En | MEDLINE | ID: mdl-34530641
ABSTRACT
CRISPR-based genome editing holds promise for genome engineering and other applications in diverse organisms. Defining and improving the genome-wide and transcriptome-wide specificities of these editing tools are essential for realizing their full potential in basic research and biomedical therapeutics. This review provides an overview of CRISPR-based DNA- and RNA-editing technologies, methods to quantify their specificities, and key solutions to reduce off-target effects for research and improve therapeutic applications.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas CRISPR-Cas / Edición Génica Idioma: En Revista: Annu Rev Genet Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas CRISPR-Cas / Edición Génica Idioma: En Revista: Annu Rev Genet Año: 2021 Tipo del documento: Article