Evidence map›Paper›PMID 23258890›Full record

ArticleScience (New York, N.Y.)2012

The evolutionary landscape of alternative splicing in vertebrate species.

Nuno L Barbosa-Morais, Manuel Irimia, Qun Pan, Hui Y Xiong, Serge Gueroussov, Leo J Lee, Valentina Slobodeniuc, Claudia Kutter, Stephen Watt, Recep Colak and 7 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Science (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 653 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
653citing papers in PubMed, 1 pooled it
–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

653 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. RNA splicing in health and disease.Molecular biomedicine · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pan-tissue transcriptomic profiling of dairy cattle.Journal of animal science and biotechnology · 2026
    Article
  18. Article
  19. Improving splice site usage prediction with SPLAIRE.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Nuno L Barbosa-MoraisBanting and Best Department of Medical Research, Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Manuel Irimia
Qun Pan
Hui Y Xiong
Serge Gueroussov
Leo J Lee
Valentina Slobodeniuc
Claudia Kutter
Stephen Watt
Recep Colak
TaeHyung Kim
Christine M Misquitta-Ali
Michael D Wilson
Philip M Kim
Duncan T Odom
Brendan J Frey
Benjamin J Blencowe

Funding

Cancer Research UK 15603Cancer Research UK A15603CIHR
6 · The paper itself

Abstract

How species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level is poorly understood. By comparing organ transcriptomes from vertebrate species spanning ~350 million years of evolution, we observed significant differences in alternative splicing complexity between vertebrate lineages, with the highest complexity in primates. Within 6 million years, the splicing profiles of physiologically equivalent organs diverged such that they are more strongly related to the identity of a species than they are to organ type. Most vertebrate species-specific splicing patterns are cis-directed. However, a subset of pronounced splicing changes are predicted to remodel protein interactions involving trans-acting regulators. These events likely further contributed to the diversification of splicing and other transcriptomic changes that underlie phenotypic differences among vertebrate species.

Indexed as

Alternative SplicingEvolution, MolecularTranscriptomeAnimalsBiological EvolutionChickensExonsIntronsLizardsMiceMice, Inbred C57BLOpossumsPhenotypePlatypusPrimatesRegulatory Sequences, Ribonucleic AcidRegulatory Sequences, Ribonucleic AcidRNA Splice Sites

Identifiers

What OpenQuestion holds

Textmetadata
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.