Multi-reporter selection for the design of active and more specific zinc-finger nucleases for genome editing
Benjamin L. Oakes,
Danny F. Xia,
Elizabeth F. Rowland,
Denise J. Xu,
Irina Ankoudinova,
Jennifer S. Borchardt,
Lei Zhang,
Patrick Li,
Jeffrey C. Miller,
Edward J. Rebar and
Marcus B. Noyes ()
Additional contact information
Benjamin L. Oakes: The Lewis-Sigler Institute for Integrative Genomics, Princeton University
Danny F. Xia: Sangamo BioSciences Inc.
Elizabeth F. Rowland: The Lewis-Sigler Institute for Integrative Genomics, Princeton University
Denise J. Xu: The Lewis-Sigler Institute for Integrative Genomics, Princeton University
Irina Ankoudinova: Sangamo BioSciences Inc.
Jennifer S. Borchardt: Sangamo BioSciences Inc.
Lei Zhang: Sangamo BioSciences Inc.
Patrick Li: Sangamo BioSciences Inc.
Jeffrey C. Miller: Sangamo BioSciences Inc.
Edward J. Rebar: Sangamo BioSciences Inc.
Marcus B. Noyes: The Lewis-Sigler Institute for Integrative Genomics, Princeton University
Nature Communications, 2016, vol. 7, issue 1, 1-13
Abstract:
Abstract Engineered nucleases have transformed biological research and offer great therapeutic potential by enabling the straightforward modification of desired genomic sequences. While many nuclease platforms have proven functional, all can produce unanticipated off-target lesions and have difficulty discriminating between homologous sequences, limiting their therapeutic application. Here we describe a multi-reporter selection system that allows the screening of large protein libraries to uncover variants able to discriminate between sequences with substantial homology. We have used this system to identify zinc-finger nucleases that exhibit high cleavage activity (up to 60% indels) at their targets within the CCR5 and HBB genes and strong discrimination against homologous sequences within CCR2 and HBD. An unbiased screen for off-target lesions using a novel set of CCR5-targeting nucleases confirms negligible CCR2 activity and demonstrates minimal off-target activity genome wide. This system offers a straightforward approach to generate nucleases that discriminate between similar targets and provide exceptional genome-wide specificity.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10194
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DOI: 10.1038/ncomms10194
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