Evidence map›Paper›PMID 21232811›Full record

ReviewTrends in genetics : TIG2011

Understanding splicing regulation through RNA splicing maps.

Joshua T Witten, Jernej Ule

Open access · hybridAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

171 citing papers in PubMed, 1 synthesis or guideline pooled it, 284 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. RNA-Based Therapies for Inherited Metabolic Disorders.Journal of inherited metabolic disease · 2026
    Review
  9. Article
  10. Review
  11. A Novel Deep-IntronicThe application of clinical genetics · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. CAR-SPLASH identifies nascent pre-mRNA structures implicated in kinetic coupling and alternative splicing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. The Implications of Alternative Splicing Regulation for Maximum Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Review

111 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 at 1 institution in 1 country.

Joshua T WittenMRC Laboratory of Molecular Biology, Hills Road, Cambridge, UK, CB2 0QH.
Jernej Ule
MRC Laboratory of Molecular Biology · GB

Funding

European Research Council 206726Medical Research Council MC_U105185858Wellcome Trust 089701
6 · The paper itself

Abstract

Alternative splicing is a highly regulated process that greatly increases the proteome diversity and plays an important role in cellular differentiation and disease. Interactions between RNA-binding proteins (RBPs) and pre-mRNA are the principle regulator of splicing decisions. Findings from recent genome-wide studies of protein-RNA interactions have been combined with assays of the global effects of RBPs on splicing to create RNA splicing maps. These maps integrate information from all pre-mRNAs regulated by single RBPs to identify the global positioning principles guiding splicing regulation. Recent studies using this approach have identified a set of positional principles that are shared between diverse RBPs. Here, we discuss how insights from RNA splicing maps of different RBPs inform the mechanistic models of splicing regulation.

Indexed as

Gene Expression RegulationGenome-Wide Association StudyHumansIntronsModels, BiologicalRNA-Binding ProteinsRNA SplicingRNA-Binding Proteins

Identifiers

PMID21232811
PMCPMC3165201
OpenAlexW2081534563

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.