Evidence map›Paper›PMID 37811890›Full record

ArticleNucleic acids research2024

tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments.

Ningshan Li, Siqiong Yao, Guangjun Yu, Lingeng Lu, Zuoheng Wang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. The Liver FlukeBiomolecules · 2026
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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

5 authors at 4 institutions in 2 countries.

Ningshan LiThe Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong 518172, China.ORCID 0000-0003-1916-2563
Siqiong YaoJoint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-6968-1586
Guangjun YuThe Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong 518172, China.
Lingeng LuDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06520, USA.ORCID 0000-0001-9871-0809
Zuoheng WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06520, USA.ORCID 0000-0002-7251-3687
Yale University · USChinese University of Hong Kong, Shenzhen · CNShanghai Jiao Tong University · CNUniversity of Science and Technology of China · CN

Funding

Graph Learning of Cell-cell Communications in Spatial TranscriptomicsR01LM014087 · NLM · YALE UNIVERSITY · PI WANG, ZUOHENG, YAN, XITING · 2022 to 2025
$1.5M
NIH HHS R01LM014087NLM NIH HHS R01 LM014087
6 · The paper itself

Abstract

tRFtarget 1.0 (http://trftarget.net/) is a platform consolidating both computationally predicted and experimentally validated binding sites between transfer RNA-derived fragments (tRFs) and target genes (or transcripts) across multiple organisms. Here, we introduce a newly released version of tRFtarget 2.0, in which we integrated 6 additional tRF sources, resulting in a comprehensive collection of 2614 high-quality tRF sequences spanning across 9 species, including 1944 Homo sapiens tRFs and one newly incorporated species Rattus norvegicus. We also expanded target genes by including ribosomal RNAs, long non-coding RNAs, and coding genes >50 kb in length. The predicted binding sites have surged up to approximately 6 billion, a 20.5-fold increase than that in tRFtarget 1.0. The manually curated publications relevant to tRF targets have increased to 400 and the gene-level experimental evidence has risen to 232. tRFtarget 2.0 introduces several new features, including a web-based tool that identifies potential binding sites of tRFs in user's own datasets, integration of standardized tRF IDs, and inclusion of external links to contents within the database. Additionally, we enhanced website framework and user interface. With these improvements, tRFtarget 2.0 is more user-friendly, providing researchers a streamlined and comprehensive platform to accelerate their research progress.

Indexed as

Databases, Nucleic AcidRNA, TransferAnimalsHumansRatsRNA, Transfer

Identifiers

PMID37811890
PMCPMC10767876
OpenAlexW4387439182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.