Evidence map›Paper›PMID 31857444›Full record

ArticleGenome research2020

Predicting transfer RNA gene activity from sequence and genome context.

Bryan P Thornlow, Joel Armstrong, Andrew D Holmes, Jonathan M Howard, Russell B Corbett-Detig, Todd M Lowe

Abstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Multilevel genomic constraints shape nuclear tRNA gene organization in plants.The Plant journal : for cell and molecular biology · 2026
    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. Article
  9. Article
  10. Article
  11. Article
  12. Natural human tRNARNA (New York, N.Y.) · 2025
    Article
  13. Article
  14. Article
  15. Genome Sequencing, Assembly, and Characterization ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. AbioRxiv : the preprint server for biology · 2024
    Article
  20. tRNA therapeutics for genetic diseases.Nature reviews. Drug discovery · 2024
    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

6 authors.

Bryan P ThornlowDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.
Joel ArmstrongDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.
Andrew D HolmesDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.
Jonathan M HowardDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.
Russell B Corbett-DetigDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.ORCID 0000-0001-6535-2478
Todd M LoweDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.ORCID 0000-0003-3253-6021

Funding

A Unified Atlas of Dynamic tRNA FunctionR01HG006753 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LOWE, TODD MICHAEL · 2012 to 2022
$4.6M
Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
UC Santa Cruz Training Program In Genomic SciencesT32HG008345 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI BROOKS, ANGELA NORIE, GREEN, RICHARD EDWARD · 2015 to 2020
$1.4M
Evolutionary dynamics of tRNA genesF31HG010584 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI THORNLOW, BRYAN PATRICK · 2019 to 2021
$86k
NHGRI NIH HHS F31 HG010584NHGRI NIH HHS R01 HG006753NHGRI NIH HHS T32 HG008345NIGMS NIH HHS R35 GM128932
6 · The paper itself

Abstract

Transfer RNA (tRNA) genes are among the most highly transcribed genes in the genome owing to their central role in protein synthesis. However, there is evidence for a broad range of gene expression across tRNA loci. This complexity, combined with difficulty in measuring transcript abundance and high sequence identity across transcripts, has severely limited our collective understanding of tRNA gene expression regulation and evolution. We establish sequence-based correlates to tRNA gene expression and develop a tRNA gene classification method that does not require, but benefits from, comparative genomic information and achieves accuracy comparable to molecular assays. We observe that guanine + cytosine (G + C) content and CpG density surrounding tRNA loci is exceptionally well correlated with tRNA gene activity, supporting a prominent regulatory role of the local genomic context in combination with internal sequence features. We use our tRNA gene activity predictions in conjunction with a comprehensive tRNA gene ortholog set spanning 29 placental mammals to estimate the evolutionary rate of functional changes among orthologs. Our method adds a new dimension to large-scale tRNA functional prediction and will help prioritize characterization of functional tRNA variants. Its simplicity and robustness should enable development of similar approaches for other clades, as well as exploration of functional diversification of members of large gene families.

Indexed as

GenomeGenomicsRNA, TransferAnimalsComputational BiologyCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomicsMammalsMicePhylogenyRNA, Transfer

Identifiers

PMID31857444
PMCPMC6961574

What OpenQuestion holds

Textmetadata
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.