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Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
Published on: December 11, 2021
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Quantification of protein delivery in live cells using fluorescence correlation spectroscopy
Susan L Knox1, Angela Steinauer2, Garrett Alpha-Cobb3
1Department of Chemistry, University of California, Berkeley, CA, United States.
Methods in Enzymology
|July 28, 2020
Summary
Fluorescence correlation spectroscopy (FCS) quantifies how well cell-penetrating proteins deliver materials into live cells. This method analyzes protein diffusion and concentration to assess intracellular delivery efficiency and endosomal escape.
Area of Science:
- Biophysics
- Cell Biology
- Biochemistry
Background:
- Fluorescence correlation spectroscopy (FCS) is a powerful single-molecule technique.
- It measures molecular concentration and diffusion rates in vitro and in vivo.
- FCS is ideal for studying intracellular protein delivery.
Purpose of the Study:
- To detail robust FCS experimental procedures for evaluating intracellular protein delivery.
- To quantify the efficiency of cell-penetrating proteins and peptides in delivering cargo into mammalian cells.
- To assess endosomal escape efficiencies using FCS.
Main Methods:
- Preparation of fluorophore-tagged proteins for delivery studies.
- Incubation of tagged proteins with live mammalian cells and sample preparation for FCS.
- Setup and execution of FCS experiments.
- Analysis of autocorrelation curves using diffusion models and a custom MATLAB script.
Main Results:
- FCS directly quantifies the concentration and diffusion of delivered proteins.
- The method effectively evaluates the efficiency of various cell-penetrating proteins and peptides.
- Endosomal escape efficiencies can be accurately determined.
Conclusions:
- FCS provides a robust method for assessing intracellular protein delivery efficiency.
- The described procedures and analysis tools enable quantitative evaluation of protein transport and endosomal escape.
- This approach is valuable for optimizing protein delivery systems for therapeutic applications.

