Nature Communications (Aug 2022)
Accurate determination of CRISPR-mediated gene fitness in transplantable tumours
- Peter Eirew,
- Ciara O’Flanagan,
- Jerome Ting,
- Sohrab Salehi,
- Jazmine Brimhall,
- Beixi Wang,
- Justina Biele,
- Teresa Algara,
- So Ra Lee,
- Corey Hoang,
- Damian Yap,
- Steven McKinney,
- Cherie Bates,
- Esther Kong,
- Daniel Lai,
- Sean Beatty,
- Mirela Andronescu,
- Elena Zaikova,
- Tyler Funnell,
- Nicholas Ceglia,
- Stephen Chia,
- Karen Gelmon,
- Colin Mar,
- Sohrab Shah,
- Andrew Roth,
- Alexandre Bouchard-Côté,
- Samuel Aparicio
Affiliations
- Peter Eirew
- Department of Molecular Oncology, BC Cancer
- Ciara O’Flanagan
- Department of Molecular Oncology, BC Cancer
- Jerome Ting
- Department of Molecular Oncology, BC Cancer
- Sohrab Salehi
- Department of Molecular Oncology, BC Cancer
- Jazmine Brimhall
- Department of Molecular Oncology, BC Cancer
- Beixi Wang
- Department of Molecular Oncology, BC Cancer
- Justina Biele
- Department of Molecular Oncology, BC Cancer
- Teresa Algara
- Department of Molecular Oncology, BC Cancer
- So Ra Lee
- Department of Molecular Oncology, BC Cancer
- Corey Hoang
- Department of Molecular Oncology, BC Cancer
- Damian Yap
- Department of Molecular Oncology, BC Cancer
- Steven McKinney
- Department of Molecular Oncology, BC Cancer
- Cherie Bates
- Department of Molecular Oncology, BC Cancer
- Esther Kong
- Department of Molecular Oncology, BC Cancer
- Daniel Lai
- Department of Molecular Oncology, BC Cancer
- Sean Beatty
- Department of Molecular Oncology, BC Cancer
- Mirela Andronescu
- Department of Molecular Oncology, BC Cancer
- Elena Zaikova
- Department of Molecular Oncology, BC Cancer
- Tyler Funnell
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
- Nicholas Ceglia
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
- Stephen Chia
- Department of Medical Oncology, BC Cancer
- Karen Gelmon
- Department of Medical Oncology, BC Cancer
- Colin Mar
- Department of Diagnostic Radiology, BC Cancer
- Sohrab Shah
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
- Andrew Roth
- Department of Molecular Oncology, BC Cancer
- Alexandre Bouchard-Côté
- Department of Statistics, University of British Columbia
- Samuel Aparicio
- Department of Molecular Oncology, BC Cancer
- DOI
- https://doi.org/10.1038/s41467-022-31830-2
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 19
Abstract
Gene fitness and essentiality analyses using in vivo cancer models are challenging due to multiple confounders. Here, the authors develop a quantitative approach to study CRISPR-transduced patient-derived xenografts, which they use to analyse in vivo gene fitness in breast cancers and the biological features that influence uncertainty in fitness estimation.