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Large-Scale Analysis of Cell Death Phenotypic Heterogeneity

Zintis Inde, Giovanni C. Forcina, Kyle Denton, View ORCID ProfileScott J. Dixon
doi: https://doi.org/10.1101/2020.02.28.970079
Zintis Inde
1Department of Biology, Stanford University, Stanford, CA 94305, USA 94305, USA
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Giovanni C. Forcina
1Department of Biology, Stanford University, Stanford, CA 94305, USA 94305, USA
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Kyle Denton
1Department of Biology, Stanford University, Stanford, CA 94305, USA 94305, USA
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Scott J. Dixon
1Department of Biology, Stanford University, Stanford, CA 94305, USA 94305, USA
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  • ORCID record for Scott J. Dixon
  • For correspondence: sjdixon@stanford.edu
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SUMMARY

Individual cancer cells within a population can exhibit substantial phenotypic heterogeneity such that exposure to a lethal agent will kill only a fraction of cells at a given time. Whether common molecular mechanisms govern this fractional killing in response to different lethal stimuli is poorly understood. In part, this is because it is difficult to compare fractional killing between conditions using existing approaches. Here, we show that fractional killing can be quantified and compared for hundreds of populations in parallel using high-throughput time-lapse imaging. We find that fractional killing is highly variable between lethal agents and between cell lines. At the molecular level, we find that the antiapoptotic protein MCL1 is an important determinant of fractional killing in response to mitogen activated protein kinase (MAPK) pathway inhibitors but not other lethal stimuli. These studies lay the foundation for the large-scale, quantitative analysis of cell death phenotypic heterogeneity.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 29, 2020.
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Large-Scale Analysis of Cell Death Phenotypic Heterogeneity
Zintis Inde, Giovanni C. Forcina, Kyle Denton, Scott J. Dixon
bioRxiv 2020.02.28.970079; doi: https://doi.org/10.1101/2020.02.28.970079
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Large-Scale Analysis of Cell Death Phenotypic Heterogeneity
Zintis Inde, Giovanni C. Forcina, Kyle Denton, Scott J. Dixon
bioRxiv 2020.02.28.970079; doi: https://doi.org/10.1101/2020.02.28.970079

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