Evidence map›Paper›PMID 36350638›Full record

ArticleNucleic acids research2023

tatDB: a database of Ago1-mediated targets of transfer RNA fragments.

Lingyu Guan, Andrey Grigoriev

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Transfer RNA Fragments in Diseases of Sensory Organs.International journal of molecular sciences · 2026
    Review
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Lingyu GuanDepartment of Biology, Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.
Andrey GrigorievDepartment of Biology, Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.ORCID 0000-0002-3227-532X
Rutgers, The State University of New Jersey · US

Funding

Variant identification for cancer genomicsR15CA220059 · NCI · RUTGERS THE STATE UNIV OF NJ CAMDEN · PI GRIGORIEV, ANDREY · 2018 to 2018
$447k
NCI NIH HHS R15 CA220059
6 · The paper itself

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.

Indexed as

Argonaute ProteinsDatabases, Nucleic AcidRNA, TransferCOVID-19Eukaryotic Initiation FactorsHEK293 CellsHumansSARS-CoV-2AGO1 protein, humanArgonaute ProteinsEukaryotic Initiation FactorsRNA, Transfer

Identifiers

PMID36350638
PMCPMC9825446
OpenAlexW4308616313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.