Evidence map›Paper›PMID 19264636›Full record

ArticleThe Journal of general virology2009

Multiple-hit inhibition of infection by defective interfering particles.

Kristen A Stauffer Thompson, Grzegorz A Rempala, John Yin

Open access · greenAbstract read
In one paragraph

Article in The Journal of general virology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.2field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. SustainedVirus evolution · 2019
    Article
  17. Review
  18. Article
  19. 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

3 authors at 2 institutions in 1 country.

Kristen A Stauffer ThompsonDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706-1607, USA.
Grzegorz A RempalaDepartment of Mathematics, University of Louisville, Louisville, KY 40292, USA.
John YinDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706-1607, USA.
University of Wisconsin–Madison · USUniversity of Louisville · US

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Strategic Vision & Impact on Environmental HealthP30ES014443 · NIEHS · UNIVERSITY OF LOUISVILLE · PI RAMOS, IRMA N · 2007 to 2010
$4.4M
Data-driven Computational Modeling of the Growth and Spread of VirusesR33AI071197 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2008 to 2010
$1.0M
Data-driven Computational Modeling of the Growth and Spread of VirusesR21AI071197 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2006 to 2007
$290k
NHGRI NIH HHS 5T32HG002760NHGRI NIH HHS T32 HG002760NIAID NIH HHS AI071197NIAID NIH HHS R21 AI071197NIAID NIH HHS R33 AI071197NIEHS NIH HHS 1P30ES014443NIEHS NIH HHS P30 ES014443
6 · The paper itself

Abstract

Defective interfering particles (DIPs) are virus-like particles that arise during virus growth, fail to grow in the absence of virus, and replicate at the expense of virus during co-infections. The inhibitory effects of DIPs on virus growth are well established, but little is known about how DIPs influence their own growth. Here vesicular stomatitis virus (VSV) and its DIPs were used to co-infect BHK cells, and the effect of DIP dose on virus and DIP production was measured using a yield-reduction assay. The resulting dose-response data were used to fit and evaluate mathematical models that employed different assumptions. Our analysis supports a multiple-hit process where DIPs inhibit or promote virus and DIP production, depending on dose. Specifically, three regimes of co-infection were apparent: (i) low DIP - where both virus and DIPs are amplified, (ii) medium DIP - where amplification of both virus and DIPs is inhibited, and (iii) high DIP - with limited recovery of virus production and further inhibition of DIP growth. In addition, serial-passage infections enabled us to estimate the frequency of de novo DIP generation during virus amplification. Our combined experiments and models provide a means to understand better how DIPs quantitatively impact the growth of viruses and the spread of their infections.

Indexed as

Defective VirusesVesicular stomatitis Indiana virusViral InterferenceAnimalsCell LineCricetinaeModels, BiologicalSerial PassageViral Plaque AssayVirus Replication

Identifiers

PMID19264636
PMCPMC2889439
OpenAlexW1966106131

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.