A pan-CRISPR analysis of mammalian cell specificity identifies ultra-compact sgRNA subsets for genome-scale experiments

Boyang Zhao; Yiyun Rao; Scott Leighow; Edward P. O’Brien; Luke Gilbert; Justin R. Pritchard

doi:10.1038/s41467-022-28045-w

Nature Communications (Feb 2022)

A pan-CRISPR analysis of mammalian cell specificity identifies ultra-compact sgRNA subsets for genome-scale experiments

Boyang Zhao,
Yiyun Rao,
Scott Leighow,
Edward P. O’Brien,
Luke Gilbert,
Justin R. Pritchard

Affiliations

Boyang Zhao: Department of Biomedical Engineering, Pennsylvania State University
Yiyun Rao: Huck Institute for the Life Sciences, Pennsylvania State University
Scott Leighow: Department of Biomedical Engineering, Pennsylvania State University
Edward P. O’Brien: Department of Chemistry, Pennsylvania State University
Luke Gilbert: Department of Urology, University of California at San Francisco
Justin R. Pritchard: Department of Biomedical Engineering, Pennsylvania State University

DOI: https://doi.org/10.1038/s41467-022-28045-w
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 13

Abstract

Read online

Context specificity confounds genetic analysis and prevents reproducible genome engineering. Here, the authors report a pan-CRISPR analysis of specificity in mammalian cells and identify ultra-compact sgRNA subsets for genome-scale screens.

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/

About the journal