
Resources: Publications
CellCage™ technology enables high-throughput isolation of defined cell combinations to resolve the determinants of CAR T-mediated cytotoxicity
August 25, 2026
BioRxiv
Authors & Affiliations
CELLANOME: Richard G Yau*, Shreya Deshmukh*, Makenzie Sacca, Ria Gupta, Yanping Yang, Mehdi Mohseni, Liz Y Wu, Filiz Gorpe Yasar, Shan Sabri, Teresa Ai, Tarun K Khurana, Shawn Levy, Pier Federico Gherardini, Gary P Schroth
WEILL CORNELL MEDICINE: Christopher Mason, Moonsoo M. Jin
HOUSTON METHODIST RESEARCH INSTITUTE: Moonsoo M. Jin
* Joint first authors
Scientific Summary
Cell-mediated cytotoxicity assays are widely used to study immune-cell function, evaluate engineered cell therapies, and investigate mechanisms of tumor cell killing. While conventional co-culture assays measure the population response, they average away how individual cellular interactions produced it.
In this study, researchers used CellCage™ technology to isolate defined effector-target cell combinations and monitor thousands of individual interactions through longitudinal live-cell imaging. By combining dynamic measurements with quantitative analysis, the workflow enabled characterization of cellular behaviors including killing kinetics, serial killing, and cooperative interactions.
The study demonstrates how tracking the same effector-target interactions over time, rather than a single snapshot, links behavior directly to functional outcome, revealing heterogeneity that population-level measurements obscure. The approach in this study, applied across both hematologic and solid tumor models, provides a scalable framework for investigating immune-cell function and developing next-generation functional assays.
Key Highlights
- See what the average hides
Perform longitudinal analysis of thousands of defined effector-target interactions rather than measuring only a population-average response. - Quantify functional heterogeneity
Capture differences in killing behavior, including killing kinetics, serial killing activity, motility, and interaction dynamics across individual cell pairs/combinations. - Measure cellular context
Examine how effector abundance and CD4+/CD8+ cellular composition influence cytotoxic outcomes within defined co-cultures. - Support multiple experimental workflows
Deploy both fluorescence-assisted and label-free approaches for studying immune-cell cytotoxicity across different biological models. - Capture interaction dynamics
Observe how individual effector and target cells interact over time, revealing behaviors that are difficult to resolve with endpoint or population-level measurements.
Explore Related Topics
Learn how dynamic cell enclosures enable longitudinal observation of individual cells and defined cell-cell interactions.
See how Cellanome’s CRISPR screening assays combine pooled perturbations with longitudinal imaging and transcriptomic measurements to investigate gene function and cellular behavior.
Explore how longitudinal imaging and transcriptomics can support studies of immune cell function, cell-cell interactions, and functional heterogeneity.
Scalable Longitudinal Imaging and Transcriptomics of Cells in Dynamic Enclosures
Read the foundational publication describing the CellCage™ platform and the paired imaging-transcriptomic workflow.
Explore why directly measuring cellular behavior can complement molecular profiling.
Related Posters
Continue exploring how longitudinal imaging and defined cell-cell interactions are being applied across immune biology.
- CAR T-mediated killing (AACR 2026)
- Dendritic cell-T cell priming (ARC 2026)
- Macrophage-PDAC interactions (Keystone Myeloid Cells 2026)
- Enteric glia-PBMC interactions (Cell Symposia 2025)
bioRxiv 2026.08.21.746043; doi: https://doi.org/10.64898/2026.08.21.746043
See what this would look like in your research
A co-culture readout is rarely the whole experiment. On the Cellanome platform it can sit alongside same-cell transcriptomics or a CRISPR perturbation, so what cells do stays linked to what they express and how they were perturbed.
Run it in your own lab on the R3200 Platform, or run it with the Cellanome service lab.
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