ArticleScience China. Life sciences2023
SecReT6 update: a comprehensive resource of bacterial Type VI Secretion Systems.
Article in Science China. Life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
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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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Who cites it
59 citing papers in PubMed, 81 citations in OpenAlex.
- Differential proteomics of bacteria grownmSystems · 2026Article
- GeoEPred: A multimodal structure-aware geometric deep learning framework for Gram-negative bacterial secreted effector prediction with sequence semantics.PLoS computational biology · 2026Article
- Article
- Identification of protein secretion systems and type III effectors in wood-associated bacteria of the genusMicrobiology spectrum · 2026Article
- Specific and broad-spectrum antibacterial effectors of type VI secretion system drive competition ofMicrobiology spectrum · 2026Article
- Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis.mSystems · 2026Article
- Characterization of facultative yet endohyphal interaction between Umbelopsis and Paraburkholderia.BMC genomics · 2026Article
- A T4SS effector directly disarms competing antibacterial T6SSs by hijacking their conserved spike component.Science China. Life sciences · 2026Article
- Type VI Secretion Systems inMicroorganisms · 2026Article
- Pan-genome insights into type VI secretion systems and their functional repertoires inmSystems · 2026Article
- Drought drives elevated antibiotic resistance across soils.Nature microbiology · 2026Article
- Systematic identification of Salmonella T6SS effectors uncovers diverse new families and lipid-targeting activities.PLoS biology · 2026Article
- Cross-feeding interactions betweenmSystems · 2026Article
- Genomic Characterization ofPlants (Basel, Switzerland) · 2026Article
- Article
- Article
- The SPI-6 T6SS gene cluster fromFrontiers in microbiology · 2026Article
- Type VI secretion system completeness shapes evolutionary trade-offs in theFrontiers in microbiology · 2026Article
- Machine learning for the prediction of gram-negative bacterial secreted effectors: advances and challenges.Frontiers in chemistry · 2026Review
- Genomic plasticity and mobilome architecture ofMicrobial genomics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type VI Secretion System (T6SS) plays significant roles in microbial activities via injecting effectors into adjacent cells or environments. T6SS increasingly gained attention due to its important influence on pathogenesis, microbial competition, etc. T6SS-associated research is explosively expanding on numerous grounds that call for an efficient resource. The SecReT6 version 3 provides comprehensive information on T6SS and the interactions between T6SS and T6SS-related proteins such as T6SS regulators and T6SS effectors. To assist T6SS researches like microbial competition and regulatory mechanisms, SecReT6 v3 developed online tools for detection and analysis of T6SS and T6SS-related proteins and estimation of T6SS-dependent killing risk. We have identified a novel T6SS regulator and T6SS-dependent killing capacity in Acinetobacter baumannii clinical isolates with the aid of SecReT6 v3. 17,212 T6SSs and plentiful T6SS-related proteins in 26,573 bacterial complete genomes were also detected, analyzed and incorporated into the database. The database is freely available at https://bioinfo-mml.sjtu.edu.cn/SecReT6/ .
Indexed as
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What Socratic holds
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 Socratic graph.