An Automation Workflow for High‐Throughput Manufacturing and Analysis of Scaffold‐Supported 3D Tissue Arrays

Author:

Cao Ruonan1ORCID,Li Nancy T.2ORCID,Latour Simon123ORCID,Cadavid Jose L.12ORCID,Tan Cassidy M.2,Forman Ari34,Jackson Hartland W.345ORCID,McGuigan Alison P.12ORCID

Affiliation:

1. Institute of Biomedical Engineering University of Toronto 164 College Street Toronto ON M5S 3G9 Canada

2. Department of Chemical Engineering and Applied Chemistry University of Toronto 200 College Street Toronto ON M5R 3S5 Canada

3. Lunenfeld‐Tanenbaum Research Institute Mount Sinai Hospital 600 University Ave Toronto ON M5G 1X5 Canada

4. Department of Molecular Genetics University of Toronto 1 King's College Cir Toronto ON M5S 1A8 Canada

5. Ontario Institute of Cancer Research 661 University Ave Toronto ON M5G 0A3 Canada

Abstract

AbstractPatient‐derived organoids have emerged as a useful tool to model tumour heterogeneity. Scaling these complex culture models while enabling stratified analysis of different cellular sub‐populations, however, remains a challenge. One strategy to enable higher throughput organoid cultures is the scaffold‐supported platform for organoid‐based tissues (SPOT). SPOT allows the generation of flat, thin, and dimensionally‐defined microtissues in both 96‐ and 384‐well plate footprints that are compatible with longitudinal image‐based readouts. SPOT is currently manufactured manually, however, limiting scalability. In this study, an automation approach to engineer tumour‐mimetic 3D microtissues in SPOT using a liquid handler is optimized and comparable within‐ and between‐sample variation to standard manual manufacturing is shown. Further, a liquid handler‐supported cell extraction protocol to support single‐cell‐based end‐point analysis using high‐throughput flow cytometry and multiplexed cytometry by time of flight is developed. As a proof‐of‐value demonstration, 3D complex tissues containing different proportions of tumour and stromal cells are generated to probe the reciprocal impact of co‐culture. It is also demonstrated that primary patient‐derived organoids can be incorporated into the pipeline to capture patient‐level tumour heterogeneity. It is envisioned that this automated 96/384‐SPOT workflow will provide opportunities for future applications in high‐throughput screening for novel personalized therapeutic targets.

Funder

Natural Sciences and Engineering Research Council of Canada

Canada First Research Excellence Fund

Publisher

Wiley

Subject

Pharmaceutical Science,Biomedical Engineering,Biomaterials

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