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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 Proteomic...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 Proteomics
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Biochemical and proteomic approaches for the study of membrane microdomains

Authors: Yu Zi, Zheng; Leonard J, Foster;

Biochemical and proteomic approaches for the study of membrane microdomains

Abstract

Many cellular signaling and communication events take place at the plasma membrane and thus the characterization of the plasma membrane proteome has been a hot research area in the hopes of learning more about these processes. Membrane microdomains are large protein and lipid complexes found on the cell surface membrane, able to concentrate or recruit signaling molecules or factors. The first step of any organelle proteomics study is to get a pure and enriched protein sample yet this has always been problematic in membrane proteomics as it is virtually impossible to purify a specific membrane type to homogeneity. In this review, we summarize the biochemical and proteomic approaches that have been used recently in the isolation and identification of several membrane microdomains and non-typical membrane proteins.

Related Organizations
Keywords

Membrane Microdomains, Proteome, Phospholipases, Cell Membrane, Animals, Humans, Membrane Proteins, Caveolae

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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!
36
Average
Top 10%
Top 10%
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