# A live cell biosensor protocol for high-resolution screening of therapy-resistant cancer cells

**Authors:** Viral D. Oza, Colin S. Williams, Jessica S. Blackburn, Shuo Qie, Shuo Qie, Shuo Qie

PMC · DOI: 10.1371/journal.pone.0343016 · PLOS One · 2026-02-17

## TL;DR

This paper introduces a biosensor protocol to detect and study therapy-resistant cancer cells in real time using a genetically encoded death indicator.

## Contribution

The protocol enables high-resolution screening of therapy-induced cell death in cancer cells using a novel biosensor called GEDI.

## Key findings

- GEDI allows real-time detection of cell death via calcium influx in cancer cells.
- The protocol supports high-throughput screening of drug and radiation resistance in heterogeneous cancer cell populations.
- The method outputs single-cell time-of-death annotations and morphological data for downstream analysis.

## Abstract

The Genetically Encoded Death Indicator (GEDI) is a ratiometric, dual-fluorescence biosensor that enables real-time detection of cell death through calcium influx. Originally developed for use in neurodegeneration models, GEDI can be applied to cancer cells to quantify therapy-induced death at single-cell resolution. This protocol details how to generate GEDI-expressing cancer cell lines, empirically determine stress-induced GEDI thresholds using radiation or chemotherapeutic agents, and perform time-resolved imaging and image analysis to track cell fate. This workflow is optimized for high-throughput drug and radiation screening in heterogeneous populations and is especially useful for identifying chemo- and radio-resistant subclones. Key limitations include the need for empirical GEDI threshold calibration for each treatment condition and careful standardization of imaging parameters. The protocol outputs include GEDI ratio values, single-cell time-of-death annotations, and whole-cell morphological data in parallel, which can be linked to downstream applications such as FACS-based isolation of live or dying subpopulations, transcriptomic profiling of resistant clones, or in vivo validation using xenografts or organotypic slice culture.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** cytotoxicity (MESH:D064420), GEDI (MESH:D003643), Cancer (MESH:D009369), diffuse midline glioma (MESH:D005910), neurodegeneration (MESH:D019636)
- **Chemicals:** calcium (MESH:D002118), Glucose (MESH:D005947), DMSO (MESH:D004121), CO2 (MESH:D002245), ATP (MESH:D000255), Caspase-Glo (-), Ethanol (MESH:D000431), EDTA (MESH:D004492)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mycoplasma (genus) [taxon 2093], Malus domestica (apple, species) [taxon 3750]
- **Mutations:** S11150H
- **Cell lines:** D6546 — Drosophila melanogaster (Fruit fly), Spontaneously immortalized cell line (CVCL_IZ09), SF7761 — Homo sapiens (Human), Diffuse intrinsic pontine glioma, Telomerase immortalized cell line (CVCL_IT45), GEDI — Homo sapiens (Human), Propionic acidemia, Induced pluripotent stem cell (CVCL_A1XD), SCC127 — Mus musculus (Mouse), Hybridoma (CVCL_J741), HEK293T — Homo sapiens (Human), Transformed cell line (CVCL_0063), SF8628 — Homo sapiens (Human), Diffuse intrinsic pontine glioma, Cancer cell line (CVCL_IT46)

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12912615/full.md

## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12912615/full.md

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Source: https://tomesphere.com/paper/PMC12912615