Evidence map›Paper›PMID 28934498›Full record

ArticleNucleic acids research2017

Widespread intra-dependencies in the removal of introns from human transcripts.

Seong Won Kim, Allison J Taggart, Claire Heintzelman, Kamil J Cygan, Caitlin G Hull, Jing Wang, Barsha Shrestha, William G Fairbrother

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. RNA exon editing: Splicing the way to treat human diseases.Molecular therapy. Nucleic acids · 2024
    Review
  8. Article
  9. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  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

8 authors.

Seong Won KimDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
Allison J TaggartDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
Claire HeintzelmanDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
Kamil J CyganCenter for Computational Molecular Biology, Brown University, Providence, RI 02903, USA.
Caitlin G HullDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
Jing WangDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
Barsha ShresthaDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.
William G FairbrotherDepartment of Molecular and Cellular Biology, Brown University, Providence, RI 02903, USA.

Funding

TRAINING IN MOLECULAR &CELL BIOLOGY &BIOCHEMISTRYT32GM007601 · NIGMS · BROWN UNIVERSITY · PI MOWRY, KIMBERLY L. · 1985 to 2019
$6.4M
A genomic approach to studying the life cycle of intron lariatsR01GM105681 · NIGMS · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2014 to 2022
$3.7M
NIGMS NIH HHS R01 GM105681NIGMS NIH HHS T32 GM007601
6 · The paper itself

Abstract

Research into the problem of splice site selection has followed a reductionist approach focused on how individual splice sites are recognized. Early applications of information theory uncovered an inconsistency. Human splice signals do not contain enough information to explain the observed fidelity of splicing. Here, we conclude that introns do not necessarily contain 'missing' information but rather may require definition from neighboring processing events. For example, there are known cases where an intronic mutation disrupts the splicing of not only the local intron but also adjacent introns. We present a genome-wide measurement of the order of splicing within human transcripts. The observed order of splicing cannot be explained by a simple kinetic model. Simulations reveal a bias toward a particular, transcript-specific order of intron removal in human genes. We validate an extreme class of intron that can only splice in a multi-intron context. Special categories of splicing such as exon circularization, first and last intron processing, alternative 5 and 3'ss usage and exon skipping are marked by distinct patterns of ordered intron removal. Excessive intronic length and silencer density tend to delay splicing. Shorter introns that contain enhancers splice early.

Indexed as

Genome, HumanIntronsRNA Splice SitesAlternative SplicingExonsHEK293 CellsHumansMutationPoly URNA SplicingPoly URNA Splice Sites

Identifiers

PMID28934498
PMCPMC5766209

What OpenQuestion holds

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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.