Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Diffusion in the Membrane

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...

Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Kinesin-5/Cut7 C-terminal tail phosphorylation influence on motor regulation through multi-scale molecular modeling.

Biophysical journal·2026

Same author

Accelerating Free Energy Exploration Using Parallelizable Gaussian Accelerated Molecular Dynamics (ParGaMD).

Journal of chemical theory and computation·2026

Same author

Multiscale Molecular Modeling to Reveal Interactions between the Atomic Force Microscopy Tip and Lipid Bilayer Stacks.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

Rapid design and production of Alpha-1 antitrypsin fusion proteins in a plant-based cell-free expression system.

Free radical biology & medicine·2025

Same author

Expression and characterization of SARS-CoV-2 spike protein in Thermothelomyces heterothallica C1.

Vaccine·2025

Same author

Designer artificial environments for membrane protein synthesis.

Nature communications·2025

Same journal

DNA conformation determines the size of DNA-histone H1 nanoscale clusters.

The Journal of chemical physics·2026

Same journal

Confinement-controlled phase behavior of charged colloids under gravity.

The Journal of chemical physics·2026

Same journal

Dissociation line of tetrahydrofuran hydrates from NPH molecular dynamics simulations.

The Journal of chemical physics·2026

Same journal

Development of a magnetic interatomic potential for cubic antiferromagnets: The case of NiO.

The Journal of chemical physics·2026

Same journal

Simulations of solvent effects on excited state dynamics of p-DAPA, a red single benzene-based fluorophore.

The Journal of chemical physics·2026

Same journal

Rotational excitation of thioformaldehyde (H2CS) in collisions with molecular hydrogen.

The Journal of chemical physics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 1, 2026

Preparation of Mica Supported Lipid Bilayers for High Resolution Optical Microscopy Imaging

Preparation of Mica Supported Lipid Bilayers for High Resolution Optical Microscopy Imaging

Published on: June 7, 2014

Correlating anomalous diffusion with lipid bilayer membrane structure using single molecule tracking and atomic force

Michael J Skaug¹, Roland Faller, Marjorie L Longo

¹Department of Chemical Engineering and Materials Science, University of California Davis, Davis, California 95616, USA.

The Journal of Chemical Physics

|June 14, 2011

Summary

This summary is machine-generated.

Anomalous diffusion in cell membranes is clarified by directly imaging obstacles. This study links lipid diffusion dynamics to obstacle characteristics using advanced microscopy and simulations.

More Related Videos

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Published on: December 12, 2025

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

Related Experiment Videos

Last Updated: Jun 1, 2026

Preparation of Mica Supported Lipid Bilayers for High Resolution Optical Microscopy Imaging

Preparation of Mica Supported Lipid Bilayers for High Resolution Optical Microscopy Imaging

Published on: June 7, 2014

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Published on: December 12, 2025

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

Area of Science:

Biophysics
Cell Biology
Materials Science

Background:

Anomalous diffusion is common in cell plasma membranes, but its causes remain poorly understood.
Directly visualizing diffusion obstacles (e.g., proteins, lipid domains) in membranes is challenging.
Existing methods infer obstacle properties from particle movement dynamics.

Purpose of the Study:

To investigate the mechanisms of anomalous diffusion in supported lipid bilayers.
To directly correlate lipid molecule diffusion with the physical characteristics of obstacles.
To develop accurate methods for quantifying anomalous diffusion exponents.

Main Methods:

Utilized single molecule tracking to monitor lipid diffusion.
Employed atomic force microscopy to image diffusion obstacles.
Performed lattice Monte Carlo simulations with experimentally determined obstacle configurations.

Main Results:

Successfully characterized anomalous diffusion of lipid molecules.
Directly visualized and quantified diffusion obstacles.
Correlated anomalous diffusion with obstacle area fraction, fractal dimension, and correlation length.
Derived a method to accurately measure anomalous diffusion exponents, accounting for time-averaging in single molecule tracking.

Conclusions:

Established a link between lipid diffusion anomalies and physical obstacle properties in supported lipid bilayers.
Demonstrated the critical role of single molecule trajectory length in determining diffusion exponents.
Provided insights into confinement models and stochastic processes governing membrane diffusion.