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Related Concept Videos

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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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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Mechanisms of Membrane Domain Formation00:59

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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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Insertion of Multi-pass Transmembrane Proteins in the RER01:29

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The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
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Insertion of Single-pass Transmembrane Proteins in the RER01:26

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Integral membrane proteins are proteins adhered to the lipid bilayer of a cell organelle or membrane. They can be of two types: transmembrane integral proteins that span the lipid bilayer and monotopic proteins that are attached to either side of the membrane but do not pass through it.
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Multi-pass Transmembrane Proteins and β-barrels01:09

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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
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Fluid Mosaic Model01:19

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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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Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
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Producing membrane proteins one simulation at a time.

James C Gumbart1

  • 1From the Department of Physics, Georgia Institute of Technology, Atlanta Georgia 30332 gumbart@physics.gatech.edu.

The Journal of Biological Chemistry
|November 28, 2017
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Summary
This summary is machine-generated.

Predicting membrane protein expression levels in Escherichia coli is now possible using coarse-grained simulations. This breakthrough offers a new computational method to understand and improve the overexpression of integral membrane proteins.

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Area of Science:

  • Structural biology
  • Biophysics
  • Computational biology

Background:

  • Integral membrane proteins are crucial for cellular functions and are targets for structural and biophysical studies.
  • Overexpression of membrane proteins is often required for these studies but is technically challenging.
  • The factors influencing membrane protein expression remain poorly understood.

Purpose of the Study:

  • To investigate the capability of coarse-grained simulations to predict membrane protein expression levels.
  • To provide a novel computational approach for understanding and optimizing membrane protein overexpression.

Main Methods:

  • Utilized coarse-grained simulations to model membrane protein insertion.
  • Correlated simulation outcomes with experimental protein expression levels in Escherichia coli.

Main Results:

  • Demonstrated that coarse-grained simulations can accurately predict protein expression levels.
  • Identified key factors influencing expression through simulation analysis.

Conclusions:

  • Coarse-grained simulations offer a powerful predictive tool for membrane protein expression.
  • This computational approach can guide experimental strategies for protein overexpression.