Evidence map›Paper›PMID 19771201›Full record

ArticleJournal of RNAi and gene silencing : an international journal of RNA and gene targeting research2005

Selective cleavage of AChR cRNAs harbouring mutations underlying the slow channel myasthenic syndrome by hammerhead ribozymes.

Amr Abdelgany, John Ealing, Matthew Wood, David Beeson

Open access · greenAbstract read
In one paragraph

Article in Journal of RNAi and gene silencing : an international journal of RNA and gene targeting research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Amr AbdelganyNeurosciences Group, Weatherall Institute of Molecular Medicine, University of Oxford, The John Radcliffe Hospital, Oxford OX3 9DS, UK.
John Ealing
Matthew Wood
David Beeson
John Radcliffe Hospital · GB

Funding

Medical Research Council G117/490
6 · The paper itself

Abstract

Slow channel congenital myasthenic syndrome (SCCMS) is a dominant disorder caused by missense mutations in muscle acetylcholine receptors (AChR). Expression from mutant alleles causes prolonged AChR ion-channel activations. This 'gain of function' results in excitotoxic damage due to excess entry of calcium ions that manifests as an endplate myopathy. The biology of SCCMS provides a model system to investigate the potential of catalytic nucleic acids for therapy in dominantly inherited disorders involving single missense mutations. Hammerhead ribozymes can catalytically cleave RNA transcripts in a sequence-specific manner. We designed hammerhead ribozymes to target transcripts from four SCCMS mutations, alphaT254I, alphaS226F, alphaS269I and epsilonL221F. Ribozymes were incubated with cRNA transcripts encoding wild type and mutant AChR subunits. The ribozymes efficiently cleaved the mutant allele cRNA transcripts but left the wild type cRNA intact. Cleavage efficiency was optimised for alphaS226F. We were able to demonstrate robust catalytic activity under simulated physiological conditions and at high Ca(2+) concentrations, which is likely to be accumulated at the endplate region of the SCCMS patient muscles. These results demonstrate the potential for gene therapy applications of ribozymes to specifically down-regulate expression of mutant alleles in dominantly inherited disorders.

Indexed as

AChRallele-specific mRNA cleavagegene therapyhammerhead ribozymesSlow channel myasthenic syndrome

Identifiers

PMID19771201
PMCPMC2737193
OpenAlexW340377949

What OpenQuestion holds

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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.