Evidence map›Paper›PMID 26679539›Full record

ArticleGenome biology2015

Transcriptome-wide RNA processing kinetics revealed using extremely short 4tU labeling.

J David Barrass, Jane E A Reid, Yuanhua Huang, Ralph D Hector, Guido Sanguinetti, Jean D Beggs, Sander Granneman

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
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  10. Impact on splicing inRNA (New York, N.Y.) · 2023
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  14. Editorial: RNA machines.Frontiers in genetics · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Non-radioactive In Vivo Labeling of RNA with 4-Thiouracil.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  19. Article
  20. Article
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

7 authors at 3 institutions in 1 country.

J David BarrassWellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh, EH9 3BF, UK.
Jane E A ReidWellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh, EH9 3BF, UK.
Yuanhua HuangSchool of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK.
Ralph D HectorCentre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Edinburgh, EH9 3BF, UK.
Guido SanguinettiSchool of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK.
Jean D BeggsWellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh, EH9 3BF, UK. jbeggs@ed.ac.uk.
Sander GrannemanCentre for Synthetic and Systems Biology (SynthSys), University of Edinburgh, Edinburgh, EH9 3BF, UK. sgrannem@staffmail.ed.ac.uk.
University of Edinburgh · GBWellcome Centre for Cell Biology · GBUniversity of Glasgow · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J004243/1Medical Research Council G0900740Medical Research Council MR/K001744/1Wellcome Trust 087551Wellcome Trust 091549Wellcome Trust 092076Wellcome Trust 093853Wellcome Trust 104648
6 · The paper itself

Abstract

backgroundRNA levels detected at steady state are the consequence of multiple dynamic processes within the cell. In addition to synthesis and decay, transcripts undergo processing. Metabolic tagging with a nucleotide analog is one way of determining the relative contributions of synthesis, decay and conversion processes globally.

resultsBy improving 4-thiouracil labeling of RNA in Saccharomyces cerevisiae we were able to isolate RNA produced during as little as 1 minute, allowing the detection of nascent pervasive transcription. Nascent RNA labeled for 1.5, 2.5 or 5 minutes was isolated and analyzed by reverse transcriptase-quantitative polymerase chain reaction and RNA sequencing. High kinetic resolution enabled detection and analysis of short-lived non-coding RNAs as well as intron-containing pre-mRNAs in wild-type yeast. From these data we measured the relative stability of pre-mRNA species with different high turnover rates and investigated potential correlations with sequence features.

conclusionsOur analysis of non-coding RNAs reveals a highly significant association between non-coding RNA stability, transcript length and predicted secondary structure. Our quantitative analysis of the kinetics of pre-mRNA splicing in yeast reveals that ribosomal protein transcripts are more efficiently spliced if they contain intron secondary structures that are predicted to be less stable. These data, in combination with previous results, indicate that there is an optimal range of stability of intron secondary structures that allows for rapid splicing.

Indexed as

RNA Processing, Post-TranscriptionalTranscriptomeIntronsNucleic Acid ConformationRNA, MessengerRNA StabilityRNA, UntranslatedSaccharomyces cerevisiaeThiouracil4-thiouracilRNA, MessengerRNA, UntranslatedThiouracil

Identifiers

PMID26679539
PMCPMC4699367
OpenAlexW2217310620

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.