Evidence map›Paper›PMID 24352214›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2014

Recombinant AAV as a platform for translating the therapeutic potential of RNA interference.

Florie Borel, Mark A Kay, Christian Mueller

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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  7. Deep learning-guided design of cell type-specific AAV promoters.bioRxiv : the preprint server for biology · 2026
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24 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.

Florie BorelGene Therapy Center, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Mark A KayDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Christian Mueller1] Gene Therapy Center, University of Massachusetts Medical School, Worcester, Massachusetts, USA [2] Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts, USA.

Funding

Nuclease free gene editing approaches to treat alpha-1 antitrypsin diseaseR01DK098252 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FLOTTE, TERENCE R. · 2013 to 2022
$3.0M
NIDDK NIH HHS R01 DK098252
6 · The paper itself

Abstract

RNA interference has become a ubiquitous biological tool, and is being harnessed for therapeutic purposes as well. Therapeutic posttranscriptional gene silencing takes advantage of the endogenous RNAi pathway through delivery of either chemically synthesized siRNAs, or transgenes expressing hairpin-based inhibitory RNAs (e.g., shRNAs and artificial miRNAs). RNAi has expanded the field of viral gene therapy from gene replacement to gene knockdown. Here, we review various noncoding RNAs such as shRNAs, miRNAs, and miRNA decoys which can be utilized for therapeutic applications when expressed from recombinant adeno-associated vectors (AAV), and present examples of their basic design. In addition the basis of exploiting cellular miRNA profiles for detargeting AAV expression from specific cells is described. Finally, an overview of AAV-mediated RNAi preclinical studies is presented, and current RNAi-based clinical trials are reviewed.

Indexed as

Genetic TherapyRNA InterferenceDependovirusGene Expression RegulationGene SilencingGenetic VectorsHumansMicroRNAsRNA, Small InterferingMicroRNAsRNA, Small Interfering

Identifiers

PMID24352214
PMCPMC3982504

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.