High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases

Jeffrey L. Bessen; Lena K. Afeyan; Vlado Dančík; Luke W. Koblan; David B. Thompson; Chas Leichner; Paul A. Clemons; David R. Liu

doi:10.1038/s41467-019-09987-0

Nature Communications (Apr 2019)

High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases

Jeffrey L. Bessen,
Lena K. Afeyan,
Vlado Dančík,
Luke W. Koblan,
David B. Thompson,
Chas Leichner,
Paul A. Clemons,
David R. Liu

Affiliations

Jeffrey L. Bessen: Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
Lena K. Afeyan: Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
Vlado Dančík: Chemical Biology and Therapeutics Science Program, Broad Institute of Harvard and MIT
Luke W. Koblan: Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
David B. Thompson: Department of Chemistry and Chemical Biology, Harvard University
Chas Leichner: Google Inc.
Paul A. Clemons: Chemical Biology and Therapeutics Science Program, Broad Institute of Harvard and MIT
David R. Liu: Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT

DOI: https://doi.org/10.1038/s41467-019-09987-0
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 13

Abstract

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The development of site-specific recombinases as genome editing tools is limited by the difficulty of altering their DNA sequence specificity. Here the authors present Rec-seq, a method for identifying specificity determinants and off-target substrates of recombinases in an unbiased manner.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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