Person:
Hawes, Derek

Profile Picture

Email Address

AA Acceptance Date

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Hawes

First Name

Derek

Name

Hawes, Derek

Filters

20171

Settings

Author's Publications: search.filters.isAuthorOfPublication.a0c450d8-35a2-42af-bef3-1d7c02248c10

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Publication
    Computational correction of copy-number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells
    (2017) Meyers, Robin M.; Bryan, Jordan G.; McFarland, James M.; Weir, Barbara A.; Sizemore, Ann E.; Xu, Han; Dharia, Neekesh; Montgomery, Phillip G.; Cowley, Glenn S.; Pantel, Sasha; Goodale, Amy; Lee, Yenarae; Ali, Levi D.; Jiang, Guozhi; Lubonja, Rakela; Harrington, William F.; Strickland, Matthew; Wu, Ting; Hawes, Derek; Zhivich, Victor A.; Wyatt, Meghan R.; Kalani, Zohra; Chang, Jaime J.; Okamoto, Michael; Stegmaier, Kimberly; Golub, Todd; Boehm, Jesse S.; Vazquez, Francisca; Root, David E.; Hahn, William; Tsherniak, Aviad
    The CRISPR-Cas9 system has revolutionized gene editing both on single genes and in multiplexed loss-of-function screens, enabling precise genome-scale identification of genes essential to proliferation and survival of cancer cells1,2. However, previous studies reported that a gene-independent anti-proliferative effect of Cas9-mediated DNA cleavage confounds such measurement of genetic dependency, leading to false positive results in copy number amplified regions3,4. We developed CERES, a computational method to estimate gene dependency levels from CRISPR-Cas9 essentiality screens while accounting for the copy-number-specific effect. As part of our efforts to define a cancer dependency map, we performed genome-scale CRISPR-Cas9 essentiality screens across 342 cancer cell lines and applied CERES to this dataset. We found that CERES reduced false positive results and estimated sgRNA activity for both this dataset and previously published screens performed with different sgRNA libraries. Here, we demonstrate the utility of this collection of screens, upon CERES correction, in revealing cancer-type-specific vulnerabilities.