Evidence map›Paper›PMID 17576691›Full record

ArticleNucleic acids research2007

A systematic analysis of the effect of target RNA structure on RNA interference.

Ellen M Westerhout, Ben Berkhout

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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  12. Structure of HIV-1 RT/dsRNA initiation complex prior to nucleotide incorporation.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  13. Review
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  18. Review
  19. A Method to Predict the Structure and Stability of RNA/RNA Complexes.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
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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

2 authors.

Ellen M WesterhoutLaboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, The Netherlands.
Ben Berkhout

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNAi efficiency is influenced by local RNA structure of the target sequence. We studied this structure-based resistance in detail by targeting a perfect RNA hairpin and subsequently destabilized its tight structure by mutation, thereby gradually exposing the target sequence. Although the tightest RNA hairpins were completely resistant to RNAi, we observed an inverse correlation between the overall target hairpin stability and RNAi efficiency within a specific thermodynamic stability (DeltaG) range. Increased RNAi efficiency was shown to be caused by improved binding of the siRNA to the destabilized target RNA hairpins. The mutational effects vary for different target regions. We find an accessible target 3' end to be most important for RNAi-mediated inhibition. However, these 3' end effects cannot be reproduced in siRNA-target RNA-binding studies in vitro, indicating the important role of RISC components in the in vivo RNAi reaction. The results provide a more detailed insight into the impact of target RNA structure on RNAi and we discuss several possible implications. With respect to lentiviral-mediated delivery of shRNA expression cassettes, we present a DeltaG window to destabilize the shRNA insert for vector improvement, while avoiding RNAi-mediated self-targeting during lentiviral vector production.

Indexed as

RNA InterferenceBase SequenceCell Line, TumorHumansNucleic Acid ConformationRNA, MessengerRNA, Small InterferingRNA, MessengerRNA, Small Interfering

Identifiers

PMID17576691
PMCPMC1934999

What OpenQuestion holds

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LicenceCC BY-NC
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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.