Details

Autor(en) / Beteiligte

• Schuster, Brooke
• Junkin, Michael
• Kashaf, Sara Saheb
• Romero-Calvo, Isabel
• Kirby, Kori
• Matthews, Jonathan
• Weber, Christopher R
• Rzhetsky, Andrey
• White, Kevin P
• Tay, Savaş

Titel

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

Ist Teil von

• Nature communications, 2020-10, Vol.11 (1), p.5271-5271, Article 5271

Ort / Verlag

England: Nature Publishing Group UK

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.