Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 65,305 bioRxiv papers from 289,273 authors.
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency datasets
Joshua M Dempster,
Fiona M Behan,
Charlotte M Beaver,
Scott T Younger,
John G. Doench,
Jesse S Boehm,
Todd R. Golub,
William C Hahn,
David E Root,
Mathew J Garnett,
Posted 10 Apr 2019
bioRxiv DOI: 10.1101/604447
Posted 10 Apr 2019
Genome-scale CRISPR-Cas9 viability screens performed in cancer cell lines provide a systematic approach to identify cancer dependencies and new therapeutic targets. As multiple large-scale screens become available, a formal assessment of the reproducibility of these experiments becomes necessary. We analyzed data from recently published pan-cancer CRISPR-Cas9 screens performed at the Broad and Sanger institutes. Despite significant differences in experimental protocols and reagents, we found that the screen results are highly concordant across multiple metrics with both common and specific dependencies jointly identified across the two studies. Furthermore, robust biomarkers of gene dependency found in one dataset are recovered in the other. Through further analysis and replication experiments at each institute, we found that batch effects are driven principally by two key experimental parameters: the reagent library and the assay length. These results indicate that the Broad and Sanger CRISPR-Cas9 viability screens yield robust and reproducible findings.
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