Evidence map›Paper›PMID 19546110›Full record

ArticleNucleic acids research2009

Stochastic noise in splicing machinery.

Eugene Melamud, John Moult

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Perplexity as a Metric for Isoform Diversity in the Human Transcriptome.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Stochasticity in genetics and gene regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  17. Article
  18. Global impact of aberrant splicing on human gene expression levels.bioRxiv : the preprint server for biology · 2023
    Article
  19. Article
  20. Review

63 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

2 authors.

Eugene MelamudCenter for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, 9600 Gudelsky Drive, Rockville, MD 20850, USA. melamud@umbi.umd.edu
John Moult

Funding

X RAY DIFFRACTION MEASUREMENTS AT ARGONNE SYNCHROTRONP01GM057890 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI BRYAN, PHILIP N · 1998 to 2007
$10.8M
NIGMS NIH HHS P01 GM057890NIGMS NIH HHS P01 GM57890
6 · The paper itself

Abstract

The number of known alternative human isoforms has been increasing steadily with the amount of available transcription data. To date, over 100 000 isoforms have been detected in EST libraries, and at least 75% of human genes have at least one alternative isoform. In this paper, we propose that most alternative splicing events are the result of noise in the splicing process. We show that the number of isoforms and their abundance can be predicted by a simple stochastic noise model that takes into account two factors: the number of introns in a gene and the expression level of a gene. The results strongly support the hypothesis that most alternative splicing is a consequence of stochastic noise in the splicing machinery, and has no functional significance. The results are also consistent with error rates tuned to ensure that an adequate level of functional product is produced and to reduce the toxic effect of accumulation of misfolding proteins. Based on simulation of sampling of virtual cDNA libraries, we estimate that error rates range from 1 to 10% depending on the number of introns and the expression level of a gene.

Indexed as

Alternative SplicingModels, GeneticExpressed Sequence TagsGene LibraryHumansIntronsProtein IsoformsStochastic ProcessesTranscription, GeneticProtein Isoforms

Identifiers

PMID19546110
PMCPMC2724286

What OpenQuestion holds

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LicenceCC BY-NC
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.