TY - JOUR
T1 - Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
AU - Brockway, Sonia
AU - Wang, Geng
AU - Jackson, Jasen M.
AU - Amici, David R.
AU - Takagishi, Seesha R.
AU - Clutter, Matthew Ryan
AU - Bartom, Elizabeth T.
AU - Mendillo, Marc L.
N1 - Funding Information:
We thank the members of the Mendillo Lab, R. Smith, J. Choi, H. Liu, and J. Yu for suggestions and feedback. We thank L. Zou for helpful discussion. We thank S. Marshall, E. Rendleman, E. Clark, and D. Zha for sequencing support. Schematics were created with BioRender.com. This research was supported by grants from the Susan G. Komen Foundation CCR17488145, the National Cancer Institute of the NIH R00CA175293, and the Lynn Sage Cancer Research Foundation (to M.L.M). M.L.M was also supported by Kimmel Scholar (SKF-16-135) and Lynn Sage Scholar awards. D.R.A. was supported by 5T32GM008152-33. A part of this work was performed by the Northwestern University High Throughput Analysis Laboratory (NU-HTA), which is funded by the Cancer Center Support Grant P30 CA060553 from the National Cancer Institute awarded to the Robert H. Lurie Comprehensive Cancer Center. E.T.B. was supported by 5R50CA221848.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12
Y1 - 2020/12
N2 - Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we develop Quantitative and Multiplexed Analysis of Phenotype by Sequencing (QMAP-Seq), which leverages next-generation sequencing for pooled high-throughput chemical-genetic profiling. We apply QMAP-Seq to investigate how cellular stress response factors affect therapeutic response in cancer. Using minimal automation, we treat pools of 60 cell types—comprising 12 genetic perturbations in five cell lines—with 1440 compound-dose combinations, generating 86,400 chemical-genetic measurements. QMAP-Seq produces precise and accurate quantitative measures of acute drug response comparable to gold standard assays, but with increased throughput at lower cost. Moreover, QMAP-Seq reveals clinically actionable drug vulnerabilities and functional relationships involving these stress response factors, many of which are activated in cancer. Thus, QMAP-Seq provides a broadly accessible and scalable strategy for chemical-genetic profiling in mammalian cells.
AB - Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we develop Quantitative and Multiplexed Analysis of Phenotype by Sequencing (QMAP-Seq), which leverages next-generation sequencing for pooled high-throughput chemical-genetic profiling. We apply QMAP-Seq to investigate how cellular stress response factors affect therapeutic response in cancer. Using minimal automation, we treat pools of 60 cell types—comprising 12 genetic perturbations in five cell lines—with 1440 compound-dose combinations, generating 86,400 chemical-genetic measurements. QMAP-Seq produces precise and accurate quantitative measures of acute drug response comparable to gold standard assays, but with increased throughput at lower cost. Moreover, QMAP-Seq reveals clinically actionable drug vulnerabilities and functional relationships involving these stress response factors, many of which are activated in cancer. Thus, QMAP-Seq provides a broadly accessible and scalable strategy for chemical-genetic profiling in mammalian cells.
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U2 - 10.1038/s41467-020-19553-8
DO - 10.1038/s41467-020-19553-8
M3 - Article
C2 - 33184288
AN - SCOPUS:85095933421
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 5722
ER -