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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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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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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.
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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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Biological membranes show uneven distribution of different types of lipids in the inner and outer layers, resulting in transverse asymmetric membranes. The treatment of the erythrocyte membrane with the enzyme phospholipase confirmed the asymmetric nature of the lipid bilayer. The enzyme hydrolyzes lipids into fatty acids and hydrophilic groups. The phospholipase acts only on the outer layer of the membrane, while the inner layer remains intact. The phospholipase treatment resulted in 80%...
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Potential Distribution across Model Membranes.

Tillmann Utesch1, Jana Staffa2, Sagie Katz2

  • 1Leibniz-Institut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10, D-13125 Berlin, Germany.

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This study links electrode potential to transmembrane potential in model membranes using vibrational Stark effect spectroscopy and molecular dynamics. This provides a method to study potential-dependent molecular processes at biomimetic interfaces.

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Area of Science:

  • Electrochemistry
  • Surface Science
  • Biophysics

Background:

  • Electrode-supported membrane models are crucial for studying potential-dependent molecular processes.
  • The direct relationship between electrode potential and transmembrane potential remains largely unknown.

Purpose of the Study:

  • To establish a method for determining the transmembrane potential in electrode-assembled lipid bilayers.
  • To investigate the electric field experienced by molecules within these model membrane systems.

Main Methods:

  • Utilized mixed self-assembled monolayers (SAMs) with mercaptobenzonitrile (MBN) on gold electrodes.
  • Employed surface-enhanced infrared absorption spectroscopy (SEIRAS) to probe the vibrational Stark effect (VSE) of MBN.
  • Performed molecular dynamics (MD) simulations to calculate electric fields and transmembrane potentials.

Main Results:

  • VSE spectroscopy successfully determined local electric fields as a function of electrode potential.
  • MD simulations showed good agreement with experimental results for electric field calculations.
  • The study successfully calculated the electrode potential dependence of the transmembrane potential.

Conclusions:

  • The combined experimental (SEIRAS/VSE) and theoretical (MD) approach accurately quantifies electric fields in membrane models.
  • This method provides a reliable way to study potential-dependent processes at biomimetic interfaces.
  • The findings validate previous estimates and offer a powerful tool for future research.