Evidence map›Paper›PMID 16563388›Full record

ReviewFEBS letters2006

The interplay between virus infection and the cellular RNA interference machinery.

Ben Berkhout, Joost Haasnoot

Open access · bronzeAbstract readReview
In one paragraph

Review in FEBS letters, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
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  13. Article
  14. HIV-1 evolution: frustrating therapies, but disclosing molecular mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Review
  15. Review
  16. Silencing viral microRNA as a novel antiviral therapy?Journal of biomedicine & biotechnology · 2009
    Review
  17. RNA interference: from basic research to therapeutic applications.Angewandte Chemie (International ed. in English) · 2009
    Review
  18. Lentiviral vector design for multiple shRNA expression and durable HIV-1 inhibition.Molecular therapy : the journal of the American Society of Gene Therapy · 2008
    Article
  19. Genetic therapies against HIV.Nature biotechnology · 2007
    Review
  20. 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

2 authors at 2 institutions in 1 country.

Ben BerkhoutDepartment of Human Retrovirology, K3-110, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands. b.berkhout@amc.uva.nl
Joost Haasnoot
Academic Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) plays a pivotal role in the regulation of gene expression to control cell development and differentiation. In plants, insects and nematodes RNAi also functions as an innate defence response against viruses. Similarly, there is accumulating evidence that RNAi functions as an antiviral defence mechanism in mammalian cells. Viruses have evolved highly sophisticated mechanisms for interacting with the host cell machinery, and recent evidence indicates that this also involves RNAi pathways. The cellular RNAi machinery can inhibit virus replication, but viruses may also exploit the RNAi machinery for their own replication. In addition, viruses can encode proteins or RNA molecules that suppress existing RNAi pathways or trigger the silencing of specific host genes. Besides the natural interplay between RNAi and viruses, induced RNAi provides an attractive therapy approach for the fight against human pathogenic viruses. Here, we summarize the latest news on virus-RNAi interactions and RNAi based antiviral therapy.

Indexed as

RNA InterferenceVirus InactivationAnimalsHepacivirusHumansRNA, MessengerRNA, Messenger

Identifiers

PMID16563388
PMCPMC7094296
OpenAlexW2149915061

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.