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Proteomics in gram‐negative bacterial outer membrane vesicles
Abstract
Gram‐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
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Veith, P. D., Chen, Y.-Y., Gorasia, D. G., Chen, D., Glew, M. D., O’Brien-Simpson, N. M., Cecil, J. D., Holden, J. A., & Reynolds, E. C. (2014) · Journal of Proteome Research · doi:10.1021/pr401227e · Cited by 269
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Metadata
- Authors
- Lee, E., Choi, D., Kim, K., & Gho, Y. S.
- Venue
- Mass Spectrometry Reviews
- Publisher
- Wiley
- Published
- 2008-04-17
- Volume
- 27
- Issue
- 6
- Pages
- 535-555
- ISSN
- 0277-7037 (ISSN-L)
- 1098-2787
- OpenAlex
- W2112236099
- Cited by
- 339
- References
- 122
- FWCI
- 11.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.