ReviewFrontiers in cellular and infection microbiology2017
Type VI Secretion Effectors: Methodologies and Biology.
Review in Frontiers in cellular and infection microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed.
- Toxin Secretion Systems Used by Marine Pathogenic Bacteria: A Review.Journal of fish diseases · 2026Review
- GeoEPred: A multimodal structure-aware geometric deep learning framework for Gram-negative bacterial secreted effector prediction with sequence semantics.PLoS computational biology · 2026Article
- Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Review
- Article
- Comprehensive genomic analysis of type VI secretion system diversity and associated proteins inMicrobial genomics · 2025Article
- T6SS in plant pathogens: unique mechanisms in complex hosts.Infection and immunity · 2024Review
- A coordinated attack by a bacterial secretion system and a small molecule drives prey specificity.Communications biology · 2024Article
- A type VI secretion system effector TseG of Pantoea ananatis is involved in virulence and antibacterial activity.Molecular plant pathology · 2024Article
- The type VI secretion system of Stenotrophomonas rhizophila CFBP13503 limits the transmission of Xanthomonas campestris pv. campestris 8004 from radish seeds to seedlings.Molecular plant pathology · 2024Article
- Agrobacteria deploy two classes of His-Me finger superfamily nuclease effectors exerting different antibacterial capacities against specific bacterial competitors.Frontiers in microbiology · 2024Article
- A glycine zipper motif is required for the translocation of a T6SS toxic effector into target cells.EMBO reports · 2023Article
- The T6SS-Dependent Effector Re78 ofBiology · 2023Article
- Agrobacterium tumefaciens: a Transformative Agent for Fundamental Insights into Host-Microbe Interactions, Genome Biology, Chemical Signaling, and Cell Biology.Journal of bacteriology · 2023Review
- Article
- Diversity of the type VI secretion systems in theMicrobial genomics · 2023Article
- Bacterial secretion system functions: evidence of interactions and downstream implications.Microbiology (Reading, England) · 2023Article
- Repertoire and abundance of secreted virulence factors shape the pathogenic capacity ofFrontiers in microbiology · 2023Article
- Multiple T6SSs, Mobile Auxiliary Modules, and Effectors Revealed in a Systematic Analysis of the Vibrio parahaemolyticus Pan-Genome.mSystems · 2022Article
- A secreted effector with a dual role as a toxin and as a transcriptional factor.Nature communications · 2022Article
- Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The type VI secretion system (T6SS) is a nanomachine deployed by many Gram-negative bacteria as a weapon against eukaryotic hosts or prokaryotic competitors. It assembles into a bacteriophage tail-like structure that can transport effector proteins into the environment or target cells for competitive survival or pathogenesis. T6SS effectors have been identified by a variety of approaches, including knowledge/hypothesis-dependent and discovery-driven approaches. Here, we review and discuss the methods that have been used to identify T6SS effectors and the biological and biochemical functions of known effectors. On the basis of the nature and transport mechanisms of T6SS effectors, we further propose potential strategies that may be applicable to identify new T6SS effectors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.