Evidence map›Paper›PMID 38123442›Full record

ReviewTrends in genetics : TIG2024

Advances in methods for tRNA sequencing and quantification.

Nigam H Padhiar, Upendra Katneni, Anton A Komar, Yuri Motorin, Chava Kimchi-Sarfaty

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. tRNA modifications in viral replication.The Journal of biological chemistry · 2026
    Review
  10. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
    Review
  11. Review
  12. Article
  13. Optimized tRNA structure-seq reveals robust tRNA secondary structures inbioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Specificity and mechanism of tRNA cleavage by the AriB Toprim nuclease of the PARIS bacterial immune system.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  20. Interpreting ribosome dynamics during mRNA translation.The Journal of biological chemistry · 2025
    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

5 authors.

Nigam H PadhiarHemostasis Branch 1, Division of Hemostasis, Office of Plasma Protein Therapeutics, Office of Therapeutic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Upendra KatneniHemostasis Branch 1, Division of Hemostasis, Office of Plasma Protein Therapeutics, Office of Therapeutic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Anton A KomarDepartment of Biological, Geological, and Environmental Sciences, Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH, USA.
Yuri MotorinCNRS-Université de Lorraine, UAR 2008, IBSLor UMR 7365 IMoPA, Nancy, France. Electronic address: yuri.motorin@univ-lorraine.fr.
Chava Kimchi-SarfatyHemostasis Branch 1, Division of Hemostasis, Office of Plasma Protein Therapeutics, Office of Therapeutic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA. Electronic address: Chava.kimchi-sarfaty@fda.hhs.gov.

Funding

Safer and more effective FIX therapeutics: impact of codon optimizationR01HL151392 · NHLBI · CLEVELAND STATE UNIVERSITY · PI KOMAR, ANTON A. · 2020 to 2023
$1.5M
NHLBI NIH HHS R01 HL151392
6 · The paper itself

Abstract

In the past decade tRNA sequencing (tRNA-seq) has attracted considerable attention as an important tool for the development of novel approaches to quantify highly modified tRNA species and to propel tRNA research aimed at understanding the cellular physiology and disease and development of tRNA-based therapeutics. Many methods are available to quantify tRNA abundance while accounting for modifications and tRNA charging/acylation. Advances in both library preparation methods and bioinformatic workflows have enabled developments in next-generation sequencing (NGS) workflows. Other approaches forgo NGS applications in favor of hybridization-based approaches. In this review we provide a brief comparative overview of various tRNA quantification approaches, focusing on the advantages and disadvantages of these methods, which together facilitate reliable tRNA quantification.

Indexed as

High-Throughput Nucleotide SequencingRNA, TransferComputational BiologyTransfer RNA AminoacylationRNA, TransferbioinformaticshybridizationmodificationsquantificationsequencingtRNA

Identifiers

PMID38123442
PMCPMC12376271

What OpenQuestion holds

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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.