Evidence map›Paper›PMID 18366769›Full record

ArticleBMC systems biology2008

The dynamics and efficacy of antiviral RNA silencing: A model study.

Marian A C Groenenboom, Paulien Hogeweg

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Kinetic Modeling of Virus Growth in Cells.Microbiology and molecular biology reviews : MMBR · 2018
    Review
  3. Article
  4. Article
  5. Modelling the dynamics of viral suppressors of RNA silencing.Journal of the Royal Society, Interface · 2012
    Article
  6. Optimal viral strategies for bypassing RNA silencing.Journal of the Royal Society, Interface · 2011
    Article
  7. 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

2 authors at 1 institution in 1 country.

Marian A C GroenenboomTheoretical Biology and Bioinformatics, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands. macgroenenboom@gmail.com
Paulien Hogeweg
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMathematical modeling is important to provide insight in the complicated pathway of RNA silencing. RNA silencing is an RNA based mechanism that is widely used by eukaryotes to fight viruses, and to control gene expression.

resultsWe here present the first mathematical model that combines viral growth with RNA silencing. The model involves a plus-strand RNA virus that replicates through a double-strand RNA intermediate. The model of the RNA silencing pathway consists of cleavage of viral RNA into siRNA by Dicer, target cleavage of viral RNA via the RISC complex, and a secondary response. We found that, depending on the strength of the silencing response, different viral growth patterns can occur. Silencing can decrease viral growth, cause oscillations, or clear the virus completely. Our model can explain various observed phenomena, even when they seem contradictory at first: the diverse responses to the removal of RNA dependent RNA polymerase; different viral growth curves; and the great diversity in observed siRNA ratios.

conclusionThe model presented here is an important step in the understanding of the natural functioning of RNA silencing in viral infections.

Indexed as

Models, GeneticRibonuclease IIIRNA InterferenceRNA, Small InterferingRNA VirusesRNA Virus InfectionsVirus ReplicationRibonuclease IIIRNA, Small Interfering

Identifiers

PMID18366769
PMCPMC2373878
OpenAlexW2077352423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.