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Supplementary Figures S1 - S11 from CRISPR Screens Provide a Comprehensive Assessment of Cancer Vulnerabilities but Generate False-Positive Hits for Highly Amplified Genomic Regions

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posted on 2023-04-03, 21:05 authored by Diana M. Munoz, Pamela J. Cassiani, Li Li, Eric Billy, Joshua M. Korn, Michael D. Jones, Javad Golji, David A. Ruddy, Kristine Yu, Gregory McAllister, Antoine DeWeck, Dorothee Abramowski, Jessica Wan, Matthew D. Shirley, Sarah Y. Neshat, Daniel Rakiec, Rosalie de Beaumont, Odile Weber, Audrey Kauffmann, E. Robert McDonald, Nicholas Keen, Francesco Hofmann, William R. Sellers, Tobias Schmelzle, Frank Stegmeier, Michael R. Schlabach

Supplementary Figure S1. Comparison of drop out phenotypes in MKN45, RKO, HT1080 highlighting selected pan-lethal genes. Supplementary Figure S2. The genes that scored as lethal by both RNAi and CRISPR were strongly enriched for known essential genes classes. Supplementary Figure S3. To identify likely off-target hits the lethality scores of non-expressed genes were examined, as they are expected not to be required for cell viability. Supplementary Figure S4. shRNAs directed towards CDK9 do not show robust protein depletion. Supplementary Figure S5. Additional methods measuring the proliferation effects of individual sgRNA/shRNAs to validate the impact that targeting selected genetic dependencies have on cell viability. Supplementary Figure S6. Correlation analysis displaying features that correlated most significantly with sgRNA potency. Supplementary Figure S7. Effect of relative position within a gene on sgRNA viability effects. Supplementary Figure S8. Non-scoring sgRNA in conserved Pfam domains have a reduced editing efficiency compared to guides with strong viability effects. Supplementary Figure S9. Multiple genomic cuts result in DNA damage induced G2/M cell cycle arrest. Supplementary Figure S10. Multiple genomic cuts lead to an increase in cell death. Supplementary Figure S11. Pie chart demonstrating that the overall contribution of copy number effects in determining essential genes in aneuploid lines is relatively minor.

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ARTICLE ABSTRACT

CRISPR/Cas9 has emerged as a powerful new tool to systematically probe gene function. We compared the performance of CRISPR to RNAi-based loss-of-function screens for the identification of cancer dependencies across multiple cancer cell lines. CRISPR dropout screens consistently identified more lethal genes than RNAi, implying that the identification of many cellular dependencies may require full gene inactivation. However, in two aneuploid cancer models, we found that all genes within highly amplified regions, including nonexpressed genes, scored as lethal by CRISPR, revealing an unanticipated class of false-positive hits. In addition, using a CRISPR tiling screen, we found that sgRNAs targeting essential domains generate the strongest lethality phenotypes and thus provide a strategy to rapidly define the protein domains required for cancer dependence. Collectively, these findings not only demonstrate the utility of CRISPR screens in the identification of cancer-essential genes, but also reveal the need to carefully control for false-positive results in chromosomally unstable cancer lines.Significance: We show in this study that CRISPR-based screens have a significantly lower false-negative rate compared with RNAi-based screens, but have specific liabilities particularly in the interrogation of regions of genome amplification. Therefore, this study provides critical insights for applying CRISPR-based screens toward the systematic identification of new cancer targets. Cancer Discov; 6(8); 900–13. ©2016 AACR.See related commentary by Sheel and Xue, p. 824.See related article by Aguirre et al., p. 914.This article is highlighted in the In This Issue feature, p. 803

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