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

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.

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Publication Details

Journal
PLoS ONE
Published
2026-02-17
DOI
https://doi.org/10.1371/journal.pone.0343016
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Colin Williams, Jessica S. Blackburn, Viral D. Oza
PLoS ONE
Cancer Research and Treatments
article

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

Colin Williams, Jessica S. Blackburn, Viral D. Oza
article en

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.

PLoS ONEVol. 21(2)
University of Kentucky (US), Markey Cancer Center (US)
Good health and well-being
Openalex Percentile: Top 54%
Cancer Research and Treatments
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