Evidence map›Paper›PMID 28108659›Full record

ArticleNucleic acids research2017

YAMAT-seq: an efficient method for high-throughput sequencing of mature transfer RNAs.

Megumi Shigematsu, Shozo Honda, Phillipe Loher, Aristeidis G Telonis, Isidore Rigoutsos, Yohei Kirino

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–field-weighted citation impact
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

84 citing papers in PubMed.

  1. Article
  2. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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  12. Article
  13. Review
  14. The landscape of Arabidopsis tRNA aminoacylation.The Plant journal : for cell and molecular biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Developing AAV-delivered nonsense suppressor tRNAs for neurological disorders.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  20. tRNA epitranscriptomic alterations associated with opioid-induced reward-seeking and long-term opioid withdrawal in male mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article

24 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

6 authors.

Megumi ShigematsuComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Shozo HondaComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Phillipe LoherComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Aristeidis G TelonisComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Isidore RigoutsosComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Yohei KirinoComputational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Funding

piRNA biogenesis ruled by PIWI-TUDOR interactionR01GM106047 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI KIRINO, YOHEI · 2013 to 2022
$2.8M
NIGMS NIH HHS R01 GM106047
6 · The paper itself

Abstract

Besides translation, transfer RNAs (tRNAs) play many non-canonical roles in various biological pathways and exhibit highly variable expression profiles. To unravel the emerging complexities of tRNA biology and molecular mechanisms underlying them, an efficient tRNA sequencing method is required. However, the rigid structure of tRNA has been presenting a challenge to the development of such methods. We report the development of Y-shaped Adapter-ligated MAture TRNA sequencing (YAMAT-seq), an efficient and convenient method for high-throughput sequencing of mature tRNAs. YAMAT-seq circumvents the issue of inefficient adapter ligation, a characteristic of conventional RNA sequencing methods for mature tRNAs, by employing the efficient and specific ligation of Y-shaped adapter to mature tRNAs using T4 RNA Ligase 2. Subsequent cDNA amplification and next-generation sequencing successfully yield numerous mature tRNA sequences. YAMAT-seq has high specificity for mature tRNAs and high sensitivity to detect most isoacceptors from minute amount of total RNA. Moreover, YAMAT-seq shows quantitative capability to estimate expression levels of mature tRNAs, and has high reproducibility and broad applicability for various cell lines. YAMAT-seq thus provides high-throughput technique for identifying tRNA profiles and their regulations in various transcriptomes, which could play important regulatory roles in translation and other biological processes.

Indexed as

Cell Line, TumorComputational BiologyDNA, ComplementaryHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsRNA, TransferSensitivity and SpecificitySequence Analysis, RNADNA, ComplementaryRNA, Transfer

Identifiers

PMID28108659
PMCPMC5605243

What OpenQuestion holds

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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.