Evidence map›Paper›PMID 26374501›Full record

ArticleBiology direct2015

Age-driven modulation of tRNA-derived fragments in Drosophila and their potential targets.

Spyros Karaiskos, Ammar S Naqvi, Karl E Swanson, Andrey Grigoriev

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
3.3field-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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  11. [Abnormal transfer RNA epigenetic modifications and related impact on neurodegenerative diseases].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Review
  12. The Expression Pattern of tRNA-Derived Small RNAs in AdultInternational journal of molecular sciences · 2023
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6 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Spyros KaraiskosDepartment of BiologyCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08102, USA. spyros.karaiskos@rutgers.edu.
Ammar S NaqviDepartment of BiologyCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08102, USA. ammar.naqvi@rutgers.edu.
Karl E SwansonDepartment of BiologyCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08102, USA. kswanson@rutgers.edu.
Andrey GrigorievDepartment of BiologyCenter for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08102, USA. andrey.grigoriev@rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopment of sequencing technologies and supporting computation enable discovery of small RNA molecules that previously escaped detection or were ignored due to low count numbers. While the focus in the analysis of small RNA libraries has been primarily on microRNAs (miRNAs), recent studies have reported findings of fragments of transfer RNAs (tRFs) across a range of organisms.

resultsHere we describe Drosophila melanogaster tRFs, which appear to have a number of structural and functional features similar to those of miRNAs but are less abundant. As is the case with miRNAs, (i) tRFs seem to have distinct isoforms preferentially originating from 5' or 3' end of a precursor molecule (in this case, tRNA), (ii) ends of tRFs appear to contain short "seed" sequences matching conserved regions across 12 Drosophila genomes, preferentially in 3' UTRs but also in introns and exons; (iii) tRFs display specific isoform loading into Ago1 and Ago2 and thus likely function in RISC complexes; (iii) levels of loading in Ago1 and Ago2 differ considerably; and (iv) both tRF expression and loading appear to be age-dependent, indicating potential regulatory changes from young to adult organisms.

conclusionsWe found that Drosophila tRF reads mapped to both nuclear and mitochondrial tRNA genes for all 20 amino acids, while previous studies have usually reported fragments from only a few tRNAs. These tRFs show a number of similarities with miRNAs, including seed sequences. Based on complementarity with conserved Drosophila regions we identified such seed sequences and their possible targets with matches in the 3'UTR regions. Strikingly, the potential target genes of the most abundant tRFs show significant Gene Ontology enrichment in development and neuronal function. The latter suggests that involvement of tRFs in the RNA interfering pathway may play a role in brain activity or brain changes with age.

Indexed as

AgingAnimalsDrosophila melanogasterHybridization, GeneticRNA, MessengerRNA, TransferRNA, MessengerRNA, Transfer

Identifiers

PMID26374501
PMCPMC4572633
OpenAlexW2155396750

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.