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Related Experiment Video

Updated: Jun 8, 2026

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

Fluorescence correlation spectroscopy and fluorescence cross-correlation spectroscopy.

Michelle A Digman¹, Enrico Gratton¹

¹Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine

|September 14, 2010

Summary

This study explores fluctuation correlation spectroscopy for analyzing protein complex formation in living cells. It emphasizes the statistical assumptions of image correlation spectroscopy analysis, supported by simulations.

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Determination of Lipid Raft Partitioning of Fluorescently-tagged Probes in Living Cells by Fluorescence Correlation Spectroscopy (FCS)

Determination of Lipid Raft Partitioning of Fluorescently-tagged Probes in Living Cells by Fluorescence Correlation Spectroscopy (FCS)

Published on: April 6, 2012

Area of Science:

Biophysics
Cell Biology
Spectroscopy

Background:

Understanding protein complex formation is crucial for cellular function.
Existing methods may have limitations in dynamic cellular environments.

Purpose of the Study:

To elucidate the principles of fluctuation correlation spectroscopy (FCS) for studying protein complexes in living cells.
To critically examine the statistical assumptions underpinning image correlation spectroscopy (ICS) analysis.
To highlight the potential of FCS as a powerful tool in cell biology.

Main Methods:

Application of fluctuation correlation spectroscopy principles to cellular systems.
Detailed discussion of statistical assumptions in image correlation spectroscopy.
Utilizing simulations to illustrate and validate core methodological assumptions.

Main Results:

The article provides a foundational understanding of FCS for cellular analysis.
It clarifies the statistical underpinnings of ICS, crucial for accurate data interpretation.
Simulations effectively demonstrate the validity of the discussed assumptions.

Conclusions:

Fluctuation correlation spectroscopy offers novel insights into protein complex dynamics within living cells.
A thorough understanding of statistical assumptions is paramount for reliable ICS data.
This approach holds significant promise for advancing cell biology research.