Comparative optimization of combinatorial CRISPR screens

Ruitong Li; Olaf Klingbeil; Davide Monducci; Michael J. Young; Diego J. Rodriguez; Zaid Bayyat; Joshua M. Dempster; Devishi Kesar; Xiaoping Yang; Mahdi Zamanighomi; Christopher R. Vakoc; Takahiro Ito; William R. Sellers

doi:10.1038/s41467-022-30196-9

Nature Communications (May 2022)

Comparative optimization of combinatorial CRISPR screens

Ruitong Li,
Olaf Klingbeil,
Davide Monducci,
Michael J. Young,
Diego J. Rodriguez,
Zaid Bayyat,
Joshua M. Dempster,
Devishi Kesar,
Xiaoping Yang,
Mahdi Zamanighomi,
Christopher R. Vakoc,
Takahiro Ito,
William R. Sellers

Affiliations

Ruitong Li: Broad Institute of Harvard and MIT
Olaf Klingbeil: Cold Spring Harbor Laboratory
Davide Monducci: Broad Institute of Harvard and MIT
Michael J. Young: Broad Institute of Harvard and MIT
Diego J. Rodriguez: Broad Institute of Harvard and MIT
Zaid Bayyat: Broad Institute of Harvard and MIT
Joshua M. Dempster: Broad Institute of Harvard and MIT
Devishi Kesar: Broad Institute of Harvard and MIT
Xiaoping Yang: Broad Institute of Harvard and MIT
Mahdi Zamanighomi: Broad Institute of Harvard and MIT
Christopher R. Vakoc: Cold Spring Harbor Laboratory
Takahiro Ito: Broad Institute of Harvard and MIT
William R. Sellers: Broad Institute of Harvard and MIT

DOI: https://doi.org/10.1038/s41467-022-30196-9
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 10

Abstract

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Combinatorial CRISPR screens can be utilized to identify genetic interactions and functional redundancies of multiple genes. Here, the authors benchmark ten digenic CRISPR technologies and identify novel Cas9 tracrRNA combinations that show superior performance.

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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