Evidence map›Paper›PMID 28153948›Full record

ReviewRNA (New York, N.Y.)2017

Extremely fast and incredibly close: cotranscriptional splicing in budding yeast.

Edward W J Wallace, Jean D Beggs

Open access · bronzeAbstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. NAR genomics and bioinformatics · 2025
    Article
  4. Article
  5. Article
  6. Npac Regulates Pre-mRNA Splicing in Mouse Embryonic Stem Cells.International journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. RNA sequencing: the teenage years.Nature reviews. Genetics · 2019
    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

2 authors at 1 institution in 1 country.

Edward W J WallaceSchool of Informatics, University of Edinburgh, EH8 9AB, United Kingdom.ORCID 0000-0001-8025-6361
Jean D BeggsWellcome Trust Centre for Cell Biology, University of Edinburgh, EH9 3BF, United Kingdom.ORCID 0000-0002-8179-6519
Wellcome Centre for Cell Biology · GB

Funding

Wellcome Trust 092076Wellcome Trust 104648
6 · The paper itself

Abstract

RNA splicing, an essential part of eukaryotic pre-messenger RNA processing, can be simultaneous with transcription by RNA polymerase II. Here, we compare and review independent next-generation sequencing methods that jointly quantify transcription and splicing in budding yeast. For many yeast transcripts, splicing is fast, taking place within seconds of intron transcription, while polymerase is within a few dozens of nucleotides of the 3' splice site. Ribosomal protein transcripts are spliced particularly fast and cotranscriptionally. However, some transcripts are spliced inefficiently or mainly post-transcriptionally. Intron-mediated regulation of some genes is likely to be cotranscriptional. We suggest that intermediates of the splicing reaction, missing from current data sets, may hold key information about splicing kinetics.

Indexed as

RNA SplicingTranscription, GeneticHigh-Throughput Nucleotide SequencingIntronsKineticsRNA Polymerase IIRNA, RibosomalSaccharomycetalesSequence Analysis, RNATranscription Elongation, GeneticRNA Polymerase IIRNA, RibosomalCTD phosphorylationintronspolymerase CTDpolymerase pausingsplicing kinetics

Identifiers

PMID28153948
PMCPMC5393171
OpenAlexW2953052523

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.