Evidence map›Paper›PMID 19239895›Full record

ReviewCell2009

RNA and disease.

Thomas A Cooper, Lili Wan, Gideon Dreyfuss

Abstract readReview
In one paragraph

Review in Cell, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 674 papers.

0numbers the graph read from it
0cells of the map it votes in
674citing 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

674 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
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  9. Review
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  11. Article
  12. Review
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  15. Article
  16. Review
  17. Neurodegenerative spliceosomopathies.Frontiers in cell and developmental biology · 2026
    Review
  18. Article
  19. Article
  20. Article

614 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

3 authors.

Thomas A CooperDepartment of Pathology, Baylor College of Medicine, Houston, TX 77030, USA. tcooper@bcm.tmc.edu
Lili Wan
Gideon Dreyfuss

Funding

MOLECULAR PATHOGENESIS OF MYOTONIC DYSTROPHYR01AR045653 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 1999 to 2018
$8.3M
TROPONIN T ALTERNATIVE SPLICING IN EMBRYONIC HEARTR01HL045565 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 1996 to 2018
$5.5M
Transcriptome processing networks in skeletal muscle: mechanisms and functionsR01AR060733 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 2011 to 2023
$4.0M
Mechanisms of Developmentally Regulated SplicingR01GM076493 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI COOPER, THOMAS A · 2006 to 2009
$1.1M
Howard Hughes Medical InstituteNHLBI NIH HHS R01 HL045565NIAMS NIH HHS R01 AR045653NIAMS NIH HHS R01 AR060733NIGMS NIH HHS R01 GM076493
6 · The paper itself

Abstract

Cellular functions depend on numerous protein-coding and noncoding RNAs and the RNA-binding proteins associated with them, which form ribonucleoprotein complexes (RNPs). Mutations that disrupt either the RNA or protein components of RNPs or the factors required for their assembly can be deleterious. Alternative splicing provides cells with an exquisite capacity to fine-tune their transcriptome and proteome in response to cues. Splicing depends on a complex code, numerous RNA-binding proteins, and an enormously intricate network of interactions among them, increasing the opportunity for exposure to mutations and misregulation that cause disease. The discovery of disease-causing mutations in RNAs is yielding a wealth of new therapeutic targets, and the growing understanding of RNA biology and chemistry is providing new RNA-based tools for developing therapeutics.

Indexed as

Alternative SplicingDiseaseMutationRNARNA SplicingTherapeuticsRNA

Identifiers

PMID19239895
PMCPMC2866189

What OpenQuestion holds

Textmetadata
LicenceTDM
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.