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Membrane Fluidity

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Membrane fluidity is explained by the fluid mosaic model of the cell membrane, which describes the plasma membrane structure as a mosaic of components—including phospholipids, cholesterol, proteins, and carbohydrates—that gives the membrane a fluid character.
Mosaic nature of the membrane
The mosaic characteristic of the membrane helps the plasma membrane remain fluid. The integral proteins and lipids exist as separate but loosely-attached molecules in the membrane. The membrane is a relatively...

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Cell membranes are composed of phospholipids, proteins, and carbohydrates loosely attached to one another through chemical interactions. Molecules are generally able to move about in the plane of the membrane, giving the membrane its flexible nature called fluidity. Two other features of the membrane contribute to membrane fluidity: the chemical structure of the phospholipids and the presence of cholesterol in the membrane.Fatty acids tails of phospholipids can be either saturated or...

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The membrane domains concentrate specific lipids and proteins at one place within the membrane, which helps in cell signaling, adhesion, and other critical cellular processes. These domains can differ in size, composition, function, and lifespan.
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Enzymes like flippase, floppase, and scramblase transfer phospholipids from one layer to another in the membrane, thereby affecting membrane asymmetry.
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Updated: Jul 16, 2026

Construction of Model Lipid Membranes Incorporating G-protein Coupled Receptors (GPCRs)

Construction of Model Lipid Membranes Incorporating G-protein Coupled Receptors (GPCRs)

Published on: February 5, 2022

Lipid rafts and membrane traffic.

Michael F Hanzal-Bayer¹, John F Hancock

¹Institute for Molecular Bioscience, University of Queensland, St Lucia 4072, Australia. m.hanzal-bayer@imb.uq.edu.au

|March 27, 2007

Summary

Membrane rafts, ordered lipid domains, compartmentalize cellular processes. This review focuses on their role in membrane traffic, excluding cell signaling, and examines the current raft hypothesis.

Area of Science:

Cell Biology
Biochemistry
Membrane Biophysics

Background:

Membrane rafts are specialized microdomains within the cell membrane.
These domains exhibit distinct lipid and protein compositions compared to the surrounding lipid bilayer.
They are characterized by increased lipid acyl chain order.

Purpose of the Study:

To review the proposed functions of membrane rafts in cellular trafficking.
To specifically exclude the role of membrane rafts in cell signaling.
To critically discuss current aspects of the membrane raft hypothesis.

Main Methods:

Literature review and synthesis of existing research on membrane rafts.
Focus on studies investigating membrane traffic mechanisms.

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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)

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Last Updated: Jul 16, 2026

Construction of Model Lipid Membranes Incorporating G-protein Coupled Receptors (GPCRs)

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Published on: February 5, 2022

Lipid Exchange Assay in Living Cells

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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

Analysis of experimental evidence supporting or refuting the raft hypothesis.

Main Results:

Membrane rafts provide a platform for membrane compartmentalization.
Evidence suggests involvement in various forms of membrane transport.
The review consolidates findings related to raft-mediated trafficking.

Conclusions:

Membrane rafts play a significant role in organizing cellular membrane traffic.
Further research is needed to fully elucidate their functions beyond signaling.
The current understanding of the raft hypothesis requires ongoing evaluation based on new data.