Powered by OpenAIRE graph
Found an issue? Give us feedback
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 Mass Spectrometry Re...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
Mass Spectrometry Reviews
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

Proteomics in gram‐negative bacterial outer membrane vesicles

Authors: Lee, EY; Choi, DS; Kim, KP; Gho, YS;

Proteomics in gram‐negative bacterial outer membrane vesicles

Abstract

AbstractGram‐negative bacteria constitutively secrete outer membrane vesicles (OMVs) into the extracellular milieu. Recent research in this area has revealed that OMVs may act as intercellular communicasomes in polyspecies communities by enhancing bacterial survival and pathogenesis in hosts. However, the mechanisms of vesicle formation and the pathophysiological roles of OMVs have not been clearly defined. While it is obvious that mass spectrometry‐based proteomics offers great opportunities for improving our knowledge of bacterial OMVs, limited proteomic data are available for OMVs. The present review aims to give an overview of the previous biochemical, biological, and proteomic studies in the emerging field of bacterial OMVs, and to give future directions for high‐throughput and comparative proteomic studies of OMVs that originate from diverse Gram‐negative bacteria under various environmental conditions. This article will hopefully stimulate further efforts to construct a comprehensive proteome database of bacterial OMVs that will help us not only to elucidate the biogenesis and functions of OMVs but also to develop diagnostic tools, vaccines, and antibiotics effective against pathogenic bacteria. © 2008 Wiley Periodicals, Inc., Mass Spec Rev 27: 535–555, 2008

Country
Korea (Republic of)
Related Organizations
Keywords

INDUCED FLUORESCENCE DETECTION, antibiotics, GENERAL SECRETORY PATHWAY, Mass Spectrometry, NEISSERIA-MENINGITIDIS, proteomics, communicasomes, FUNCTIONAL-CHARACTERIZATION, Bacterial Proteins, Gram-Negative Bacteria, FREE-FLOW ELECTROPHORESIS, SHIGELLA-FLEXNERI, GROWING ESCHERICHIA-COLI, Gene Expression Profiling, Secretory Vesicles, PSEUDOMONAS-AERUGINOSA, CAPILLARY-ELECTROPHORESIS, HEAT-LABILE ENTEROTOXIN, MASS-SPECTROMETRY, vaccines, PROTEIN SUBCELLULAR-LOCALIZATION, gram-negative bacteria, ESCHERICHIA-COLI, outer membrane vesicles, Bacterial Outer Membrane Proteins

  • BIP!
    Impact byBIP!
    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).
    300
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
300
Top 1%
Top 1%
Top 1%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!