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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Molecular...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Molecular Biology
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
MPG.PuRe
Article . 2016
Data sources: MPG.PuRe
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Compartmentalization of the Cell Membrane

Authors: Honigmann, A.; Pralle, A.;

Compartmentalization of the Cell Membrane

Abstract

Many cell-membrane-associated processes require transient spatiotemporal separation of components on scales ranging from a couple of molecules to micrometers in size. Understanding these processes mechanistically involves understanding how lipids and proteins self-organize and interact with the cell cortex. Here, we review recent advances in dissecting the mechanisms of cell membrane compartmentalization. We introduce the challenges in studying cell membrane organization, the current understanding of how complex membranes self-organize to form transient domains, and the role of protein scaffolds in membrane organization. We discuss the formation of signaling domains as an important example of transient membrane compartmentalization. We conclude by pointing to the current limitations of measuring membrane organization in living cells and the steps that are required to advance the field.

Keywords

Membrane Lipids, Membrane Microdomains, Cell Membrane, Membrane Proteins, Models, Biological

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 1%
Top 10%
Top 10%
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