Evidence map›Paper›PMID 25085423›Full record

ArticleGenes & development2014

Identification of the determinants of tRNA function and susceptibility to rapid tRNA decay by high-throughput in vivo analysis.

Michael P Guy, David L Young, Matthew J Payea, Xiaoju Zhang, Yoshiko Kon, Kimberly M Dean, Elizabeth J Grayhack, David H Mathews, Stanley Fields, Eric M Phizicky

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The life and times of a tRNA.RNA (New York, N.Y.) · 2023
    Review
  11. Article
  12. Article
  13. Site-Specific Synthesis ofJournal of the American Chemical Society · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Michael P GuyDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
David L YoungDepartment of Genome Sciences.
Matthew J PayeaDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
Xiaoju ZhangDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
Yoshiko KonDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
Kimberly M DeanDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
Elizabeth J GrayhackDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
David H MathewsDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642;
Stanley FieldsDepartment of Genome Sciences, Department of Medicine, Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA 98195.
Eric M PhizickyDepartment of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester School of Medicine, Rochester, New York, USA 14642; eric_phizicky@urmc.rochester.edu fields@uw.edu.
University of Rochester · USHoward Hughes Medical Institute · USHuman Genome Sciences (United States) · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
TRNA SPLICINGR01GM052347 · NIGMS · UNIVERSITY OF ROCHESTER · PI Eric M. Phizicky · 1995 to 2026
$9.6M
Supporting RNAstructure: Software for RNA AnalysisR01GM076485 · NIGMS · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2006 to 2021
$4.7M
Training in Cellular, Biochemical and Molecular SciencesT32GM068411 · NIGMS · UNIVERSITY OF ROCHESTER · PI MAQUAT, LYNNE E · 2005 to 2019
$3.9M
Howard Hughes Medical InstituteNIGMS NIH HHS 1P41 GM103533NIGMS NIH HHS 5T32 GM068411NIGMS NIH HHS GM052347NIGMS NIH HHS GM076485NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM052347NIGMS NIH HHS R01 GM076485NIGMS NIH HHS T32 GM007266NIGMS NIH HHS T32 GM068411
6 · The paper itself

Abstract

Sequence variation in tRNA genes influences the structure, modification, and stability of tRNA; affects translation fidelity; impacts the activity of numerous isodecoders in metazoans; and leads to human diseases. To comprehensively define the effects of sequence variation on tRNA function, we developed a high-throughput in vivo screen to quantify the activity of a model tRNA, the nonsense suppressor SUP4oc of Saccharomyces cerevisiae. Using a highly sensitive fluorescent reporter gene with an ochre mutation, fluorescence-activated cell sorting of a library of SUP4oc mutant yeast strains, and deep sequencing, we scored 25,491 variants. Unexpectedly, SUP4oc tolerates numerous sequence variations, accommodates slippage in tertiary and secondary interactions, and exhibits genetic interactions that suggest an alternative functional tRNA conformation. Furthermore, we used this methodology to define tRNA variants subject to rapid tRNA decay (RTD). Even though RTD normally degrades tRNAs with exposed 5' ends, mutations that sensitize SUP4oc to RTD were found to be located throughout the sequence, including the anti-codon stem. Thus, the integrity of the entire tRNA molecule is under surveillance by cellular quality control machinery. This approach to assess activity at high throughput is widely applicable to many problems in tRNA biology.

Indexed as

Flow CytometryGenetic VariationHigh-Throughput Screening AssaysMutationNucleic Acid ConformationRNA StabilityRNA, TransferSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsRNA, TransferSaccharomyces cerevisiae Proteinshigh-throughput analysisRTDSUP4octRNA decaytRNA function

Identifiers

PMID25085423
PMCPMC4117946
OpenAlexW2085946679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.