Evidence map›Paper›PMID 33035346›Full record

ArticleNucleic acids research2021

tRFtarget: a database for transfer RNA-derived fragment targets.

Ningshan Li, Nayang Shan, Lingeng Lu, Zuoheng Wang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  9. mRNA-based therapeutic strategies for cancer treatment.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 3'-tRF-CysFunctional & integrative genomics · 2023
    Article
  17. Review
  18. Article
  19. Review
  20. Review
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

4 authors at 2 institutions in 2 countries.

Ningshan LiSJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Nayang ShanDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06520, USA.
Lingeng LuDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06520, USA.
Zuoheng WangSJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Shanghai Jiao Tong University · CNYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Novel Methods for Longitudinal Study of Gene-Environment Interplay in AlcoholismK01AA023321 · NIAAA · YALE UNIVERSITY · PI WANG, ZUOHENG · 2015 to 2019
$863k
National Science Foundation ACI-1548562National Science Foundation DMS1916246NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K01 AA023321
6 · The paper itself

Abstract

Transfer RNA-derived fragments (tRFs) are a new class of small non-coding RNAs and play important roles in biological and physiological processes. Prediction of tRF target genes and binding sites is crucial in understanding the biological functions of tRFs in the molecular mechanisms of human diseases. We developed a publicly accessible web-based database, tRFtarget (http://trftarget.net), for tRF target prediction. It contains the computationally predicted interactions between tRFs and mRNA transcripts using the two state-of-the-art prediction tools RNAhybrid and IntaRNA, including location of the binding sites on the target, the binding region, and free energy of the binding stability with graphic illustration. tRFtarget covers 936 tRFs and 135 thousand predicted targets in eight species. It allows researchers to search either target genes by tRF IDs or tRFs by gene symbols/transcript names. We also integrated the manually curated experimental evidence of the predicted interactions into the database. Furthermore, we provided a convenient link to the DAVID® web server to perform downstream functional pathway analysis and gene ontology annotation on the predicted target genes. This database provides useful information for the scientific community to experimentally validate tRF target genes and facilitate the investigation of the molecular functions and mechanisms of tRFs.

Indexed as

Databases, Nucleic AcidAnimalsBase PairingBase SequenceCaenorhabditis elegansDrosophila melanogasterGene OntologyHumansMiceMolecular Sequence AnnotationNucleic Acid ConformationNucleic Acid HybridizationRhodobacter sphaeroidesRNA, MessengerRNA, Small UntranslatedRNA, TransferRNA, MessengerRNA, Small UntranslatedRNA, Transfer

Identifiers

PMID33035346
PMCPMC7779015
OpenAlexW3092417436

What OpenQuestion holds

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LicenceCC BY-NC
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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.