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Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop

Author

Listed:
  • Caitlin E. Mills

    (Harvard Medical School)

  • Kartik Subramanian

    (Harvard Medical School
    Bristol Myers Squibb)

  • Marc Hafner

    (Harvard Medical School
    Genentech, Inc.)

  • Mario Niepel

    (Harvard Medical School
    Ribon Therapeutics, Inc.)

  • Luca Gerosa

    (Harvard Medical School
    Genentech, Inc.)

  • Mirra Chung

    (Harvard Medical School)

  • Chiara Victor

    (Harvard Medical School)

  • Benjamin Gaudio

    (Harvard Medical School)

  • Clarence Yapp

    (Harvard Medical School)

  • Ajit J. Nirmal

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Nicholas Clark

    (Harvard Medical School)

  • Peter K. Sorger

    (Harvard Medical School)

Abstract

High-throughput measurement of cells perturbed using libraries of small molecules, gene knockouts, or different microenvironmental factors is a key step in functional genomics and pre-clinical drug discovery. However, it remains difficult to perform accurate single-cell assays in 384-well plates, limiting many studies to well-average measurements (e.g., CellTiter-Glo®). Here we describe a public domain Dye Drop method that uses sequential density displacement and microscopy to perform multi-step assays on living cells. We use Dye Drop cell viability and DNA replication assays followed by immunofluorescence imaging to collect single-cell dose-response data for 67 investigational and clinical-grade small molecules in 58 breast cancer cell lines. By separating the cytostatic and cytotoxic effects of drugs computationally, we uncover unexpected relationships between the two. Dye Drop is rapid, reproducible, customizable, and compatible with manual or automated laboratory equipment. Dye Drop improves the tradeoff between data content and cost, enabling the collection of information-rich perturbagen-response datasets.

Suggested Citation

  • Caitlin E. Mills & Kartik Subramanian & Marc Hafner & Mario Niepel & Luca Gerosa & Mirra Chung & Chiara Victor & Benjamin Gaudio & Clarence Yapp & Ajit J. Nirmal & Nicholas Clark & Peter K. Sorger, 2022. "Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34536-7
    DOI: 10.1038/s41467-022-34536-7
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    1. Sydney M. Shaffer & Margaret C. Dunagin & Stefan R. Torborg & Eduardo A. Torre & Benjamin Emert & Clemens Krepler & Marilda Beqiri & Katrin Sproesser & Patricia A. Brafford & Min Xiao & Elliott Eggan , 2017. "Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance," Nature, Nature, vol. 546(7658), pages 431-435, June.
    2. Mehdi Bouhaddou & Matthew S. DiStefano & Eric A. Riesel & Emilce Carrasco & Hadassa Y. Holzapfel & DeAnalisa C. Jones & Gregory R. Smith & Alan D. Stern & Sulaiman S. Somani & T. Victoria Thompson & M, 2016. "Drug response consistency in CCLE and CGP," Nature, Nature, vol. 540(7631), pages 9-10, December.
    3. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    4. Mahmoud Ghandi & Franklin W. Huang & Judit Jané-Valbuena & Gregory V. Kryukov & Christopher C. Lo & E. Robert McDonald & Jordi Barretina & Ellen T. Gelfand & Craig M. Bielski & Haoxin Li & Kevin Hu & , 2019. "Next-generation characterization of the Cancer Cell Line Encyclopedia," Nature, Nature, vol. 569(7757), pages 503-508, May.
    5. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    6. Jia-Ren Lin & Mohammad Fallahi-Sichani & Peter K. Sorger, 2015. "Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
    7. Benjamin Haibe-Kains & Nehme El-Hachem & Nicolai Juul Birkbak & Andrew C. Jin & Andrew H. Beck & Hugo J. W. L. Aerts & John Quackenbush, 2013. "Inconsistency in large pharmacogenomic studies," Nature, Nature, vol. 504(7480), pages 389-393, December.
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