Evidence map›Paper›PMID 20957038›Full record

ArticlePloS one2010

RNAi experiments in D. melanogaster: solutions to the overlooked problem of off-targets shared by independent dsRNAs.

Erwin Seinen, Johannes G M Burgerhof, Ritsert C Jansen, Ody C M Sibon

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. miRNA: A Promising Therapeutic Target in Cancer.International journal of molecular sciences · 2022
    Review
  3. Article
  4. RNAi screening in Drosophila cells and in vivo.Methods (San Diego, Calif.) · 2014
    Review
  5. miRNA-Based Therapeutic Strategies.Current anesthesiology reports · 2013
    Article
  6. Article
  7. Article
  8. 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.

Erwin SeinenSection of Radiation and Stress Cell Biology, Department of Cell Biology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Johannes G M Burgerhof
Ritsert C Jansen
Ody C M Sibon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNAi technology is widely used to downregulate specific gene products. Investigating the phenotype induced by downregulation of gene products provides essential information about the function of the specific gene of interest. When RNAi is applied in Drosophila melanogaster or Caenorhabditis elegans, often large dsRNAs are used. One of the drawbacks of RNAi technology is that unwanted gene products with sequence similarity to the gene of interest can be down regulated too. To verify the outcome of an RNAi experiment and to avoid these unwanted off-target effects, an additional non-overlapping dsRNA can be used to down-regulate the same gene. However it has never been tested whether this approach is sufficient to reduce the risk of off-targets. METHODOLOGY: We created a novel tool to analyse the occurrence of off-target effects in Drosophila and we analyzed 99 randomly chosen genes. PRINCIPAL

findingsHere we show that nearly all genes contain non-overlapping internal sequences that do show overlap in a common off-target gene.

conclusionBased on our in silico findings, off-target effects should not be ignored and our presented on-line tool enables the identification of two RNA interference constructs, free of overlapping off-targets, from any gene of interest.

Indexed as

RNA InterferenceAnimalsBase SequenceDrosophila melanogasterRNA, Double-StrandedRNA, Double-Stranded

Identifiers

PMID20957038
PMCPMC2948504

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.