Evidence map›Paper›PMID 32796835›Full record

ArticleNature communications2020

Quantitative tRNA-sequencing uncovers metazoan tissue-specific tRNA regulation.

Otis Pinkard, Sean McFarland, Thomas Sweet, Jeff Coller

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

119 citing papers in PubMed, 177 citations in OpenAlex.

  1. Article
  2. Review
  3. Translation fidelity mechanisms and their changes in aging.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
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  7. Review
  8. Review
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  10. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
    Review
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Review
  18. Active transport of tRNAs facilitates distributed protein synthesis.bioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Article

59 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 2 institutions in 1 country.

Otis PinkardDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.
Sean McFarlandTevard Biosciences, LabCentral, Cambridge, MA, 02139, USA.
Thomas SweetDepartment of Nutrition, Case Western Reserve University, Cleveland, OH, 44106, USA. tjs7@case.edu.
Jeff CollerDepartment of Molecular Biology & Genetics and Department of Biology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA. jmcoller@jhmi.edu.ORCID http://orcid.org/0000-0001-5662-8110
Johns Hopkins University · USCase Western Reserve University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
Understanding the relationship between codon optimality and mRNA stabilityR35GM144114 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Jeffery Coller · 2022 to 2026
$3.0M
Determining the influence of codon optimality on mRNA translation and decayR01GM118018 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COLLER, JEFFERY · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM118018NIGMS NIH HHS R35 GM144114NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

Transfer RNAs (tRNA) are quintessential in deciphering the genetic code; disseminating nucleic acid triplets into correct amino acid identity. While this decoding function is clear, an emerging theme is that tRNA abundance and functionality can powerfully impact protein production rate, folding, activity, and messenger RNA stability. Importantly, however, the expression pattern of tRNAs is obliquely known. Here we present Quantitative Mature tRNA sequencing (QuantM-tRNA seq), a technique to monitor tRNA abundance and sequence variants secondary to RNA modifications. With QuantM-tRNA seq, we assess the tRNA transcriptome in mammalian tissues. We observe dramatic distinctions in isodecoder expression and known tRNA modifications between tissues. Remarkably, despite dramatic changes in tRNA isodecoder gene expression, the overall anticodon pool of each tRNA family is similar across tissues. These findings suggest that while anticodon pools appear to be buffered via an unknown mechanism, underlying transcriptomic and epitranscriptomic differences suggest a more complex tRNA regulatory landscape.

Indexed as

AnimalsAnticodonBlotting, NorthernFemaleHigh-Throughput Nucleotide SequencingMaleMiceMice, Inbred C57BLRNA, MessengerRNA StabilityRNA, TransferAnticodonRNA, MessengerRNA, Transfer

Identifiers

PMID32796835
PMCPMC7428014
OpenAlexW3048999744

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.