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Fluid Mosaic Model01:19

Fluid Mosaic Model

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Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
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The living membranes are flexible due to their fluid mosaic nature; however, their bending into different shapes is an active process regulated by specific lipids and proteins. The membrane bending can be transient as seen in vesicles or stable for a long time as in microvilli. Cells regulate the size, location, and duration of the membrane curvature.
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Different physical properties of lipids and proteins allow them to localize and form distinct islands or domains in the membrane. Some membrane domains are formed due to protein-protein interactions, whereas others are formed due to the presence of specific lipids such as sphingolipids and sterols—for example, large proteins, such as bacteriorhodopsin, aggregate and create distinct domains.
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The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
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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...
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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.
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Cell-scale dynamic modeling of membrane interactions with arbitrarily shaped particles.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Materials Science

Background:

  • Modeling cell-scale membrane interactions with complex particle geometries is computationally challenging.
  • Existing methods struggle to capture coupled translational and rotational dynamics of arbitrarily shaped particles interacting with deformable membranes.

Purpose of the Study:

  • To develop a versatile computational framework for simulating dynamic interactions between lipid vesicles and rigid, arbitrarily shaped particles.
  • To investigate the influence of particle shape and mass ratio on membrane deformation and wrapping dynamics.

Main Methods:

  • A force-based computational framework using triangulated meshes for vesicle and particle surfaces.
  • Langevin dynamics to simulate membrane deformation and rigid-body particle motion.
  • Two adhesive interaction models: vertex-to-vertex mapping and vertex-to-surface projection, with the latter showing improved accuracy.

Main Results:

  • The framework successfully simulates interactions between various particle shapes (cubical, rod-like, bowl-shaped, tetrahedral) and vesicle shapes (spherical, cigar-shaped, biconcave).
  • Lower particle-to-vesicle mass ratios enhance particle reorientation and complete membrane wrapping.
  • Higher mass ratios restrict particle reorientation and favor stable partial membrane wrapping.

Conclusions:

  • The developed framework provides a generalizable approach for predictive, cell-scale studies of membrane-particle interactions.
  • This tool has potential applications in environmental biophysics (e.g., microplastics) and nanomedicine.