Evidence map›Paper›PMID 25352554›Full record

ArticleNucleic acids research2014

Quantification of pre-mRNA escape rate and synergy in splicing.

Marie Mi Bonde, Sylvia Voegeli, Antoine Baudrimont, Bertrand Séraphin, Attila Becskei

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Promoter Specificity and Transcription Levels ModulateInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Impact of Methods on the Measurement of mRNA Turnover.International journal of molecular sciences · 2017
    Review
  9. Article
  10. 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

5 authors at 2 institutions in 2 countries.

Marie Mi BondeBiozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.
Sylvia VoegeliBiozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.
Antoine BaudrimontBiozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.
Bertrand SéraphinInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Centre National de Recherche Scientifique (CNRS) UMR 7104, Institut National de Santé et de Recherche Médicale (INSERM) U964, Université de Strasbourg, Illkirch, Strasbourg, France.
Attila BecskeiBiozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland attila.becskei@unibas.ch.
University of Basel · CHUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Splicing reactions generally combine high speed with accuracy. However, some of the pre-mRNAs escape the nucleus with a retained intron. Intron retention can control gene expression and increase proteome diversity. We calculated the escape rate for the yeast PTC7 intron and pre-mRNA. This prediction was facilitated by the observation that splicing is a linear process and by deriving simple algebraic expressions from a model of co- and post-transcriptional splicing and RNA surveillance that determines the rate of the nonsense-mediated decay (NMD) of the pre-mRNAs with the retained intron. The escape rate was consistent with the observed threshold of splicing rate below which the mature mRNA level declined. When an mRNA contains multiple introns, the outcome of splicing becomes more difficult to predict since not only the escape rate of the pre-mRNA has to be considered, but also the possibility that the splicing of each intron is influenced by the others. We showed that the two adjacent introns in the SUS1 mRNA are spliced cooperatively, but this does not counteract the escape of the partially spliced mRNA. These findings will help to infer promoter activity and to predict the behavior of and to control splicing regulatory networks.

Indexed as

RNA SplicingIntronsModels, GeneticNuclear ProteinsProtein Phosphatase 2RNA-Binding ProteinsRNA, MessengerRNA PrecursorsSaccharomyces cerevisiae ProteinsNuclear ProteinsProtein Phosphatase 2PTC7 protein, S cerevisiaeRNA-Binding ProteinsRNA, MessengerRNA PrecursorsSaccharomyces cerevisiae ProteinsSus1 protein, S cerevisiae

Identifiers

PMID25352554
PMCPMC4227748
OpenAlexW2114564725

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.