Evidence map›Paper›PMID 17604456›Full record

ReviewPLoS genetics2007

Modulating the expression of disease genes with RNA-based therapy.

Matthew Wood, Haifang Yin, Graham McClorey

Open access · goldAbstract readReview
In one paragraph

Review in PLoS genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 96 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Use of Nanoparticles in Delivery of Nucleic Acids for Melanoma Treatment.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  6. Gene therapy for inherited arrhythmias.Cardiovascular research · 2020
    Review
  7. Loci specific epigenetic drug sensitivity.Nucleic acids research · 2020
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Replacement of huntingtin exon 1 by trans-splicing.Cellular and molecular life sciences : CMLS · 2012
    Article
  18. Review
  19. Article
  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

3 authors at 2 institutions in 1 country.

Matthew WoodDepartment of Physiology, Anatomy and Genetics, University of Oxford, United Kingdom. matthew.wood@dpag.ox.ac.uk
Haifang Yin
Graham McClorey
University College London · GBUniversity of Oxford · GB

Funding

Medical Research Council G0500822
6 · The paper itself

Abstract

Conventional gene therapy has focused largely on gene replacement in target cells. However, progress from basic research to the clinic has been slow for reasons relating principally to the challenges of heterologous DNA delivery and regulation in vivo. Alternative approaches targeting RNA have the potential to circumvent some of these difficulties, particularly as the active therapeutic molecules are usually short oligonucleotides and the target gene transcript is under endogenous regulation. RNA-based strategies offer a series of novel therapeutic applications, including altered processing of the target pre-mRNA transcript, reprogramming of genetic defects through mRNA repair, and the targeted silencing of allele- or isoform-specific gene transcripts. This review examines the potential of RNA therapeutics, focusing on antisense oligonucleotide modification of pre-mRNA splicing, methods for pre-mRNA trans-splicing, and the isoform- and allele-specific applications of RNA interference.

Indexed as

AnimalsGene Expression RegulationGenetic Diseases, InbornHumansOligonucleotides, AntisenseRNARNA InterferenceRNA PrecursorsRNA SplicingOligonucleotides, AntisenseRNARNA Precursors

Identifiers

PMID17604456
PMCPMC1904251
OpenAlexW2156670191

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.