Abstract
Abstract:
In vitro tissue models hold great promise for modeling diseases and drug responses. Here, we used emulsion microfluidics to form micro-organospheres (MOSs), which are droplet-encapsulated miniature three-dimensional (3D) tissue models that can be established rapidly from patient tissues or cells. MOSs retain key biological features and responses to chemo-, targeted, and radiation therapies compared with organoids. The small size and large surface-to-volume ratio of MOSs enable various applications including quantitative assessment of nutrient dependence, pathogen-host interaction for anti-viral drug screening, and a rapid potency assay for chimeric antigen receptor (CAR)-T therapy. An automated MOS imaging pipeline combined with machine learning overcomes plating variation, distinguishes tumorspheres from stroma, differentiates cytostatic versus cytotoxic drug effects, and captures resistant clones and heterogeneity in drug response. This pipeline is capable of robust assessments of drug response at individual-tumorsphere resolution and provides a rapid and high-throughput therapeutic profiling platform for precision medicine.
Competing Interests: Conflicts of interest X.S., D.H., and H.C. are co-founders of Xilis, Inc. X.S. left Duke and joined Terasaki Institute and Xilis on November 9, 2021. H.C. is also a member of the board of directors of Roche. H.C.’s full disclosure is given at https://www.uu.nl/staff/JCClevers/. Z.W. recently left Duke University and joined Xilis, Inc. as a full-time employee. Patents WO2020242594, US 2021/0285054, and US 2022/006279 are related to this work.
(Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
