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Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids

Author

Listed:
  • Brooke Schuster

    (The University of Chicago
    The University of Chicago
    The University of Chicago)

  • Michael Junkin

    (The University of Chicago
    The University of Chicago)

  • Sara Saheb Kashaf

    (The University of Chicago
    The University of Chicago)

  • Isabel Romero-Calvo

    (The University of Chicago)

  • Kori Kirby

    (The University of Chicago)

  • Jonathan Matthews

    (The University of Chicago
    The University of Chicago)

  • Christopher R. Weber

    (The University of Chicago Medicine)

  • Andrey Rzhetsky

    (The University of Chicago
    The University of Chicago)

  • Kevin P. White

    (The University of Chicago
    Tempus Labs)

  • Savaş Tay

    (The University of Chicago
    The University of Chicago)

Abstract

Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an automated, high-throughput, microfluidic 3D organoid culture and analysis system to facilitate preclinical research and personalized therapies. Our system provides combinatorial and dynamic drug treatments to hundreds of cultures and enables real-time analysis of organoids. We validate our system by performing individual, combinatorial, and sequential drug screens on human-derived pancreatic tumor organoids. We observe significant differences in the response of individual patient-based organoids to drug treatments and find that temporally-modified drug treatments can be more effective than constant-dose monotherapy or combination therapy in vitro. This integrated platform advances organoids models to screen and mirror real patient treatment courses with potential to facilitate treatment decisions for personalized therapy.

Suggested Citation

  • Brooke Schuster & Michael Junkin & Sara Saheb Kashaf & Isabel Romero-Calvo & Kori Kirby & Jonathan Matthews & Christopher R. Weber & Andrey Rzhetsky & Kevin P. White & Savaş Tay, 2020. "Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19058-4
    DOI: 10.1038/s41467-020-19058-4
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    Cited by:

    1. Sitong Li & Rui Zhang & Guanghao Zhang & Luyizheng Shuai & Wang Chang & Xiaoyu Hu & Min Zou & Xiang Zhou & Baigang An & Dong Qian & Zunfeng Liu, 2022. "Microfluidic manipulation by spiral hollow-fibre actuators," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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