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

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作者
Brooke Schuster
Michael Junkin
Sara Saheb Kashaf
Isabel Romero-Calvo
Kori Kirby
Jonathan Matthews
Christopher R. Weber
Andrey Rzhetsky
Kevin P. White
Savaş Tay
机构
[1] The University of Chicago,Pritzker School of Molecular Engineering
[2] The University of Chicago,Institute for Genomics and Systems Biology
[3] The University of Chicago,Department of Chemistry
[4] The University of Chicago Medicine,Department of Pathology
[5] The University of Chicago,Committee on Genetics, Genomics and Systems Biology, Departments of Medicine and Human Genetics
[6] Tempus Labs,undefined
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Nature Communications | / 11卷
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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.
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