Organoid brightfield identification-based therapy screening
Commonly used acronym: Orbits
Scope of the method
- Human health
- Basic Research
- Translational - Applied Research
- In vitro - Ex vivo
- Human derived cells / tissues / organs
Description
- live-cell imaging
- organoids
- spheroids
- drug screening
- brightfield imaging
- cytotoxicity assay
- High-throughput
- ex vivo
- in vitro 3D modelling
- cancer research
- drug screening
- preclinical drug development
We developed a high-throughput live-cell imaging-based organoid analysis platform, Organoid Brightfield Identification-based Therapy Screening (Orbits), that allows for kinetic monitoring of organoid growth and drug responses in routine extracellular matrix domes, high-throughput 384-well microplates and advanced microcavity plates, solely based on brightfield imaging. The label-free Orbits deep learning analysis approach was validated against current standard assays for kinetic imaging (fluorescent viability dyes) and high-throughput analysis of organoid viability (CellTiter-Glo 3D assay). By incorporating a fluorescent cell death marker, intra-well normalization for organoid death could be achieved providing further insight into the mechanistic action of the drugs (cytotoxic vs. cytostatic), a feature not achievable with the CellTiter-Glo 3D assay. Our findings validate that Orbits, as a scalable, high-throughput technology, would facilitate the use of patient-derived organoids for drug development and ex vivo therapy screening. The developed platform also has broad application potential, from providing a launching point for further brightfield-based assay development to be used for fundamental research, to guiding clinical decisions for personalized medicine.
Live-cell imaging microscope with widefield and fluorescent imaging functionality (e.g. Tecan Spark Cyto, Sartorius IncuCyte systems)
Optional: Digital drug dispenser and/or pipetting robot.
- Internally validated
Pros, cons & Future potential
- Discriminate between cytotoxic and cytostatic drug respons.
- Allows for the use of more accurate growth rate drug response metrics (e.g. GR50 and normalised drug response (NDR)).
- Single-organoid drug response metrics.
- Multiparametric readout.
- Automated, AI-based image analysis which reduces user variability and hands-on analysis time.
The plating of the organoids can be challenging due to the use of temperature sensitive extracellular matrix. However, we have established a clear protocol to implement the method in other labs.
Identify new parameters that are of interest to study drug responses (e.g. tracking of organoid movement, merging of organoids,...).
The method was developed for tumor organoids or spheroids, but can easily be used for other organoid applications.
References, associated documents and other information
OrBITS: A High-throughput, time-lapse, and label-free drug screening platform for patient-derived 3D organoids Christophe Deben, Edgar Cardenas De La Hoz, Maxim Le Compte, Paul Van Schil, Jeroen M. Hendriks, Patrick Lauwers, Suresh Krishan Yogeswaran, Filip Lardon, Patrick Pauwels, Annemie Bogaerts, Evelien Smits, Steve Vanlanduit, Abraham Lin bioRxiv 2021.09.09.459656; doi: https://doi.org/10.1101/2021.09.09.459656
Contact person
Christophe DebenOrganisations
University of Antwerp (UAntwerpen)Center for Oncological Research
Belgium
Flemish Region