Evidence map›Paper›PMID 25122613›Full record

ArticleGenome research2014

High-resolution mapping of transcriptional dynamics across tissue development reveals a stable mRNA-tRNA interface.

Bianca M Schmitt, Konrad L M Rudolph, Panagiota Karagianni, Nuno A Fonseca, Robert J White, Iannis Talianidis, Duncan T Odom, John C Marioni, Claudia Kutter

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed, 97 citations in OpenAlex.

  1. RNA regulation in plants.Science China. Life sciences · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. When SizeBiomedicines · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

9 authors at 4 institutions in 2 countries.

Bianca M SchmittUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, CB2 0RE, United Kingdom;
Konrad L M RudolphEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;
Panagiota KaragianniB.S.R.C. Alexander Flemming, 16672, Vari, Athens, Greece;
Nuno A FonsecaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;
Robert J WhiteUniversity of York, Department of Biology, Heslington, York, YO10 5DD, United Kingdom.
Iannis TalianidisB.S.R.C. Alexander Flemming, 16672, Vari, Athens, Greece;
Duncan T OdomUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, CB2 0RE, United Kingdom; duncan.odom@cruk.cam.ac.uk marioni@ebi.ac.uk claudia.kutter@cruk.cam.ac.uk.
John C MarioniEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom; duncan.odom@cruk.cam.ac.uk marioni@ebi.ac.uk claudia.kutter@cruk.cam.ac.uk.
Claudia KutterUniversity of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, CB2 0RE, United Kingdom; duncan.odom@cruk.cam.ac.uk marioni@ebi.ac.uk claudia.kutter@cruk.cam.ac.uk.
European Bioinformatics Institute · GBUniversity of Cambridge · GBAlexander Fleming Biomedical Sciences Research Center · GRUniversity of York · GB

Funding

Cancer Research UK 15603
6 · The paper itself

Abstract

The genetic code is an abstraction of how mRNA codons and tRNA anticodons molecularly interact during protein synthesis; the stability and regulation of this interaction remains largely unexplored. Here, we characterized the expression of mRNA and tRNA genes quantitatively at multiple time points in two developing mouse tissues. We discovered that mRNA codon pools are highly stable over development and simply reflect the genomic background; in contrast, precise regulation of tRNA gene families is required to create the corresponding tRNA transcriptomes. The dynamic regulation of tRNA genes during development is controlled in order to generate an anticodon pool that closely corresponds to messenger RNAs. Thus, across development, the pools of mRNA codons and tRNA anticodons are invariant and highly correlated, revealing a stable molecular interaction interlocking transcription and translation.

Indexed as

Gene Expression Regulation, DevelopmentalTranscriptomeAnimalsAnticodonBase SequenceBrainChromatin ImmunoprecipitationCodonComputer SimulationEmbryo, MammalianFemaleHigh-Throughput Nucleotide SequencingLiverMaleMice, Inbred C57BLModels, GeneticAnticodonCodonRNA, MessengerRNA, Transfer

Identifiers

PMID25122613
PMCPMC4216921
OpenAlexW2021035007

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.