Evidence map›Paper›PMID 23638305›Full record

ArticleF1000prime reports2013

Counting on co-transcriptional splicing.

Mattia Brugiolo, Lydia Herzel, Karla M Neugebauer

Open access · bronzeAbstract read
In one paragraph

Article in F1000prime reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 110 citations in OpenAlex.

  1. Review
  2. Long-read Sequencing of Nascent RNA from Budding and Fission Yeasts.bioRxiv : the preprint server for biology · 2025
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  19. Nascent RNA and the Coordination of Splicing with Transcription.Cold Spring Harbor perspectives in biology · 2019
    Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Mattia Brugiolo *Max Planck Institute of Molecular and Cellular Biology and GeneticsPfotenhauerstrasse 108, 01309 DresdenGermany.
Lydia Herzel *Max Planck Institute of Molecular and Cellular Biology and GeneticsPfotenhauerstrasse 108, 01309 DresdenGermany.
Karla M NeugebauerMax Planck Institute of Molecular and Cellular Biology and GeneticsPfotenhauerstrasse 108, 01309 DresdenGermany.
Max Planck Institute of Molecular Cell Biology and Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Splicing is the removal of intron sequences from pre-mRNA by the spliceosome. Researchers working in multiple model organisms - notably yeast, insects and mammalian cells - have shown that pre-mRNA can be spliced during the process of transcription (i.e. co-transcriptionally), as well as after transcription termination (i.e. post-transcriptionally). Co-transcriptional splicing does not assume that transcription and splicing machineries are mechanistically coupled, yet it raises this possibility. Early studies were based on a limited number of genes, which were often chosen because of their experimental accessibility. Since 2010, eight studies have used global datasets as counting tools, in order to quantify co-transcriptional intron removal. The consensus view, based on four organisms, is that the majority of splicing events take place co-transcriptionally in most cells and tissues. Here, we discuss the nature of the various global datasets and how bioinformatic analyses were conducted. Considering the broad differences in experimental approach and analysis, the level of agreement on the prevalence of co-transcriptional splicing is remarkable.

Identifiers

PMID23638305
PMCPMC3619158
OpenAlexW2135485520

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.