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Subversion of the Endocytic and Secretory Pathways by Bacterial Effector Proteins
Open accessAbstract
Intracellular bacteria have developed numerous strategies to hijack host vesicular trafficking pathways to form their unique replicative niches. To promote intracellular replication, the bacteria must interact with host organelles and modulate host signaling pathways to acquire nutrients and membrane for the growing parasitophorous vacuole all while suppressing activation of the immune response. To facilitate host cell subversion, bacterial pathogens use specialized secretion systems to deliver bacterial virulence factors, termed effectors, into the host cell that mimic, agonize, and/or antagonize the function of host proteins. In this review we will discuss how bacterial effector proteins from Coxiella burnetii, Brucella abortus, Salmonella enterica serovar Typhimurium, Legionella pneumophila, Chlamydia trachomatis, and Orientia tsutsugamushi manipulate the endocytic and secretory pathways. Understanding how bacterial effector proteins manipulate host processes not only gives us keen insight into bacterial pathogenesis, but also enhances our understanding of how eukaryotic membrane trafficking is regulated.
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Jordens, I., Fernandez-Borja, M., Marsman, M., Dusseljee, S., Janssen, L., Calafat, J., Janssen, H., Wubbolts, R., & Neefjes, J. (2001) · Current Biology · doi:10.1016/s0960-9822(01)00531-0 · Cited by 811
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Metadata
- Authors
- Weber, M. M., & Faris, R.
- Venue
- Frontiers in Cell and Developmental Biology
- Publisher
- Frontiers Media SA
- Published
- 2018-01-24
- Volume
- 6
- Pages
- 1-1
- ISSN
- 2296-634X (ISSN-L)
- OpenAlex
- W2793768725
- Cited by
- 165
- References
- 1
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- gold
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- Weber, M. M., & Faris, R. (2018). Subversion of the Endocytic and Secretory Pathways by Bacterial Effector Proteins. Frontiers in Cell and Developmental Biology. https://doi.org/10.3389/fcell.2018.00001
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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.