ArticleNucleic acids research2023
tatDB: a database of Ago1-mediated targets of transfer RNA fragments.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 10 citations in OpenAlex.
- qMAP decodes RNA fragmentation dynamics in development and disease.Molecular systems biology · 2026Article
- Comparative Analysis of Reported Gene Targets and Binding Regions of Glu-CTC tRNA Fragments Across Human Diseases.Biomolecules · 2026Article
- Transfer RNA Fragments in Diseases of Sensory Organs.International journal of molecular sciences · 2026Review
- Mechanisms of Transfer RNA Fragments Functionality Within and Between Cells and Organisms.Cells · 2025Review
- FUSION: a family-level integration approach for robust differential analysis of small non-coding RNAs.Bioinformatics (Oxford, England) · 2025Article
- Same Fragments, Different Diseases: Analysis of Identical tRNA Fragments Across Diseases Utilizing Functional and Abundance-Based Databases.Non-coding RNA · 2025Article
- Exploring the Potential of tsRNA as Biomarkers for Diagnosis and Treatment of Neurogenetic Disorders.Molecular neurobiology · 2025Review
- Polychlorinated Biphenyl Exposure Alters tRNA Transcriptome in High-Fat Diet-Fed Mouse Liver.Non-coding RNA · 2025Article
- Mapping Current Studies of tRNA Fragments onto Disease Landscape.Biomolecules · 2025Review
- rRFtargetDB: a database of Ago1-mediated targets of ribosomal RNA fragments.RNA (New York, N.Y.) · 2025Article
- tRNA-derived fragments in T lymphocyte-beta cell crosstalk and in type 1 diabetes pathogenesis in NOD mice.Diabetologia · 2024Article
- tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments.Nucleic acids research · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
tRNA-derived fragments (tRFs) are a class of emerging post-transcriptional regulators of gene expression likely binding to the transcripts of target genes. However, only a few tRFs targets have been experimentally validated, making it hard to extrapolate the functions or binding mechanisms of tRFs. The paucity of resources supporting the identification of the targets of tRFs creates a bottleneck in the fast-developing field. We have previously analyzed chimeric reads in crosslinked Argonaute1-RNA complexes to help infer the guide-target pairs and binding mechanisms of multiple tRFs based on experimental data in human HEK293 cells. To efficiently disseminate these results to the research community, we designed a web-based database tatDB (targets of tRFs DataBase) populated with close to 250 000 experimentally determined guide-target pairs with ∼23 000 tRF isoforms. tatDB has a user-friendly interface with flexible query options/filters allowing one to obtain comprehensive information on given tRFs (or targets). Modes of interactions are supported by secondary structures of potential guide-target hybrids and binding motifs, essential for understanding the targeting mechanisms of tRFs. Further, we illustrate the value of the database on an example of hypothesis-building for a tRFs potentially involved in the lifecycle of the SARS-CoV-2 virus. tatDB is freely accessible at https://grigoriev-lab.camden.rutgers.edu/tatdb.
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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.