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Updated: Feb 7, 2026

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Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors
Published on: February 4, 2016
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Live-Cell Imaging and Analysis with Multiple Genetically Encoded Reporters.
Michael Pargett1, John G Albeck1
1Department of Molecular and Cellular Biology, University of California, Davis, Davis, California.
Current Protocols in Cell Biology
|July 25, 2018
Summary
Genetically encoded live-cell reporters offer high-resolution insights into cell signaling heterogeneity. Multiplexed reporters enable quantification of signal transmission and pathway correlations at the single-cell level.
Area of Science:
- Cell Biology
- Systems Biology
- Biophysics
Background:
- Cell signaling pathways exhibit significant cell-to-cell heterogeneity.
- Understanding this heterogeneity is crucial for deciphering cellular functions and responses.
- Live-cell reporters provide high temporal resolution for studying dynamic cellular processes.
Purpose of the Study:
- To present a methodology for designing and conducting live-cell multiplexed reporter experiments.
- To detail methods for analyzing time-course data from single-cell reporter assays.
- To enable quantification of correlations and trends in signaling pathway activity.
Main Methods:
- Utilizing genetically encoded live-cell reporters for signaling pathway activity measurement.
- Employing multiple spectrally distinct reporters within individual cells.
- Analyzing time-course data to quantify single-cell parameters.
Main Results:
- Demonstrated a framework for live-cell multiplexed reporter experiments.
- Established approaches for quantifying signal transmission efficiency and delay between pathway nodes.
- Enabled quantification of correlations between different signaling pathways within single cells.
Conclusions:
- Live-cell multiplexed reporters are powerful tools for dissecting cell signaling heterogeneity.
- This approach facilitates the establishment of mechanisms and consequences of cellular heterogeneity.
- The findings can inform the development of new models for signaling pathway function.
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