Evidence map›Paper›PMID 24090197›Full record

ReviewHuman gene therapy methods2014

Lentiviral vector-mediated RNA silencing in the central nervous system.

Thomas H Hutson, Edmund Foster, Lawrence D F Moon, Rafael J Yáñez-Muñoz

Abstract readReview
In one paragraph

Review in Human gene therapy methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. [Research Progress of Engineered Exosomes in the Treatment of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Transcriptional Targeting and MicroRNA Regulation of Lentiviral Vectors.Molecular therapy. Methods & clinical development · 2019
    Review
  9. Review
  10. Viral Vectors in Gene Therapy.Diseases (Basel, Switzerland) · 2018
    Review
  11. Article
  12. Article
  13. Preclinical Evaluation of a Lentiviral Vector for Huntingtin Silencing.Molecular therapy. Methods & clinical development · 2017
    Article
  14. Article
  15. Article
  16. 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 at 3 institutions in 2 countries.

Thomas H Hutson1 Neurorestoration Group, Wolfson Centre for Age-Related Diseases, King's College London , Guy's Campus, London SE1 1UL, United Kingdom .
Edmund Foster
Lawrence D F Moon
Rafael J Yáñez-Muñoz
King's College London · GBRoyal Holloway University of London · GBUniversity of Zurich · CH

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

RNA silencing is an established method for investigating gene function and has attracted particular interest because of the potential for generating RNA-based therapeutics. Using lentiviral vectors as an efficient delivery system that offers stable, long-term expression in postmitotic cells further enhances the applicability of an RNA-based gene therapy for the CNS. In this review we provide an overview of both lentiviral vectors and RNA silencing along with design considerations for generating lentiviral vectors capable of RNA silencing. We go on to describe the current preclinical data regarding lentiviral vector-mediated RNA silencing for CNS disorders and discuss the concerns of side effects associated with lentiviral vectors and small interfering RNAs and how these might be mitigated.

Indexed as

RNA InterferenceCentral Nervous System DiseasesGenetic VectorsHumansLentivirusRNA, Small InterferingRNA, Small Interfering

Identifiers

PMID24090197
PMCPMC3904657
OpenAlexW2116409606

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.