ArticleRNA (New York, N.Y.)2021
T1TAdb: the database of type I toxin-antitoxin systems.
Article in RNA (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 23 citations in OpenAlex.
- Design of orthogonal and portable RNA devices for post-transcriptional regulation by reverse engineering type I toxin-antitoxin systems.Nucleic acids research · 2025Article
- In silico approaches for discovering microbial antiviral defense systems.Briefings in bioinformatics · 2025Review
- Article
- Bacterial programmed cell death and toxin-antitoxin system in bacteria.Archives of microbiology · 2025Review
- Rational design of synthetic antimicrobial peptides based on the Escherichia coli ShoB toxin.Scientific reports · 2025Article
- SProtFP: a machine learning-based method for functional classification of small ORFs in prokaryotes.NAR genomics and bioinformatics · 2025Article
- Insight into the environmental cues modulating the expression of bacterial toxin-antitoxin systems.FEMS microbiology reviews · 2025Review
- Type I toxin-antitoxin systems in bacteria: from regulation to biological functions.EcoSal Plus · 2024Review
- TADB 3.0: an updated database of bacterial toxin-antitoxin loci and associated mobile genetic elements.Nucleic acids research · 2024Article
- Expanding the genetic programmability of Lactiplantibacillus plantarum.Microbial biotechnology · 2024Review
- Profiling the intragenic toxicity determinants of toxin-antitoxin systems: revisiting hok/Sok regulation.Nucleic acids research · 2023Article
- PAT: a comprehensive database of prokaryotic antimicrobial toxins.Nucleic acids research · 2023Article
- Bacterial toxin-antitoxin systems: Novel insights on toxin activation across populations and experimental shortcomings.Current research in microbial sciences · 2023Review
- Acquisition of genomic elements were pivotal for the success of Escherichia coli ST410.The Journal of antimicrobial chemotherapy · 2022Article
- Genome Mining Shows Ubiquitous Presence and Extensive Diversity of Toxin-Antitoxin Systems inFrontiers in microbiology · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type I toxin-antitoxin (T1TA) systems constitute a large class of genetic modules with antisense RNA (asRNA)-mediated regulation of gene expression. They are widespread in bacteria and consist of an mRNA coding for a toxic protein and a noncoding asRNA that acts as an antitoxin preventing the synthesis of the toxin by directly base-pairing to its cognate mRNA. The co- and post-transcriptional regulation of T1TA systems is intimately linked to RNA sequence and structure, therefore it is essential to have an accurate annotation of the mRNA and asRNA molecules to understand this regulation. However, most T1TA systems have been identified by means of bioinformatic analyses solely based on the toxin protein sequences, and there is no central repository of information on their specific RNA features. Here we present the first database dedicated to type I TA systems, named T1TAdb. It is an open-access web database (https://d-lab.arna.cnrs.fr/t1tadb) with a collection of ∼1900 loci in ∼500 bacterial strains in which a toxin-coding sequence has been previously identified. RNA molecules were annotated with a bioinformatic procedure based on key determinants of the mRNA structure and the genetic organization of the T1TA loci. Besides RNA and protein secondary structure predictions, T1TAdb also identifies promoter, ribosome-binding, and mRNA-asRNA interaction sites. It also includes tools for comparative analysis, such as sequence similarity search and computation of structural multiple alignments, which are annotated with covariation information. To our knowledge, T1TAdb represents the largest collection of features, sequences, and structural annotations on this class of genetic modules.
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