Evidence map›Paper›PMID 21793786›Full record

ArticleNucleic acid therapeutics2011

Selection of the most potent specific on/off adaptor-hepatitis delta virus ribozymes for use in gene targeting.

Michel V Lévesque, Samuel G Rouleau, Jean-Pierre Perreault

Abstract read
In one paragraph

Article in Nucleic acid therapeutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Michel V LévesqueRNA Group/Groupe ARN, Département de Biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke , Sherbrooke, Québec, Canada.
Samuel G Rouleau
Jean-Pierre Perreault
Université de Sherbrooke · CA

Funding

CIHR 44002CIHR MOP-44002
6 · The paper itself

Abstract

The Hepatitis Delta Virus (HDV) ribozyme, which is well adapted to the environment of the human cell, is an excellent candidate for the future development of gene-inactivation systems. On top of this, a new generation of HDV ribozymes now exists that benefits from the addition of a specific on/off adaptor (specifically the SOFA-HDV ribozymes) which greatly increases both the ribozyme's specificity and its cleavage activity. Unlike RNAi and hammerhead ribozymes, the designing of SOFA-HDV ribozymes to cleave, in trans, given RNA species has never been the object of a systematic optimization study, even with their recent use for the gene knockdown of various targets. This report aims at both improving and clarifying the design process of SOFA-HDV ribozymes. Both the ribozyme and the targeted RNA substrate were analyzed in order to provide new criteria that are useful in the selection of the most potent SOFA-HDV ribozymes. The crucial features present in both the ribozyme's biosensor and blocker, as well as at the target site, were identified and characterized. Simple rules were derived and tested using hepatitis C virus NS5B RNA as a model target. Overall, this method should promote the use of the SOFA-HDV ribozymes in a plethora of applications in both functional genomics and gene therapy.

Indexed as

Base PairingBase SequenceCatalytic DomainComputational BiologyComputer SimulationEnzyme AssaysGene TargetingHepatitis Delta VirusKineticsModels, MolecularMolecular Sequence DataNucleic Acid ConformationRNARNA, CatalyticRNA-Dependent RNA PolymeraseThermodynamicsNS-5 protein, hepatitis C virusRNARNA, CatalyticRNA-Dependent RNA PolymeraseViral Nonstructural Proteins

Identifiers

PMID21793786
PMCPMC5021529
OpenAlexW2021637336

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.