Evidence map›Paper›PMID 17998536›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

Coevolutionary networks of splicing cis-regulatory elements.

Xinshu Xiao, Zefeng Wang, Minyoung Jang, Christopher B Burge

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. A day in the life of the spliceosome.Nature reviews. Molecular cell biology · 2014
    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

4 authors.

Xinshu XiaoDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Zefeng Wang
Minyoung Jang
Christopher B Burge

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and efficient splicing of eukaryotic pre-mRNAs requires recognition by trans-acting factors of a complex array of cis-acting RNA elements. Here, we developed a generalized Bayesian network to model the coevolution of splicing cis elements in diverse eukaryotic taxa. Cross-exon but not cross-intron compensatory interactions between the 5' splice site (5'ss) and 3' splice site (3'ss) were observed in human/mouse, indicating that the exon is the primary evolutionary unit in mammals. Studied plants, fungi, and invertebrates exhibited exclusively cross-intron interactions, suggesting that intron definition drives evolution in these organisms. In mammals, 5'ss strength and the strength of several classes of exonic splicing silencers (ESSs) evolved in a correlated way, whereas specific exonic splicing enhancers (ESEs), including motifs associated with hTra2, SRp55, and SRp20, evolved in a compensatory manner relative to the 5'ss and 3'ss. Interactions between specific ESS or ESE motifs were not observed, suggesting that elements bound by different factors are not commonly interchangeable. Thus, the splicing elements defining exons coevolve in a way that preserves overall exon strength, allowing specific elements to substitute for loss or weakening of others.

Indexed as

Biological EvolutionAnimalsBinding SitesExonsHumansIntronsModels, GeneticMutationRegulatory Elements, TranscriptionalRNA Splice SitesRNA Splice Sites

Identifiers

PMID17998536
PMCPMC2141820

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.