Nature Communications (Dec 2019)
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
- Joshua M. Dempster,
- Clare Pacini,
- Sasha Pantel,
- Fiona M. Behan,
- Thomas Green,
- John Krill-Burger,
- Charlotte M. Beaver,
- Scott T. Younger,
- Victor Zhivich,
- Hanna Najgebauer,
- Felicity Allen,
- Emanuel Gonçalves,
- Rebecca Shepherd,
- John G. Doench,
- Kosuke Yusa,
- Francisca Vazquez,
- Leopold Parts,
- Jesse S. Boehm,
- Todd R. Golub,
- William C. Hahn,
- David E. Root,
- Mathew J. Garnett,
- Aviad Tsherniak,
- Francesco Iorio
Affiliations
- Joshua M. Dempster
- Broad Institute of MIT and Harvard
- Clare Pacini
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Sasha Pantel
- Broad Institute of MIT and Harvard
- Fiona M. Behan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Thomas Green
- Broad Institute of MIT and Harvard
- John Krill-Burger
- Broad Institute of MIT and Harvard
- Charlotte M. Beaver
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Scott T. Younger
- Broad Institute of MIT and Harvard
- Victor Zhivich
- Broad Institute of MIT and Harvard
- Hanna Najgebauer
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Felicity Allen
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Emanuel Gonçalves
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Rebecca Shepherd
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- John G. Doench
- Broad Institute of MIT and Harvard
- Kosuke Yusa
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Francisca Vazquez
- Broad Institute of MIT and Harvard
- Leopold Parts
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Jesse S. Boehm
- Broad Institute of MIT and Harvard
- Todd R. Golub
- Broad Institute of MIT and Harvard
- William C. Hahn
- Broad Institute of MIT and Harvard
- David E. Root
- Broad Institute of MIT and Harvard
- Mathew J. Garnett
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- Aviad Tsherniak
- Broad Institute of MIT and Harvard
- Francesco Iorio
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton
- DOI
- https://doi.org/10.1038/s41467-019-13805-y
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 14
Abstract
Integrating independent large-scale pharmacogenomic screens can enable unprecedented characterization of genetic vulnerabilities in cancers. Here, the authors show that the two largest independent CRISPR-Cas9 gene-dependency screens are concordant, paving the way for joint analysis of the data sets.
