Evidence map›Paper›PMID 19070881›Full record

ArticleVirology2009

Growth of an RNA virus in single cells reveals a broad fitness distribution.

Ying Zhu, Andrew Yongky, John Yin

Open access · greenAbstract read
In one paragraph

Article in Virology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

58 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Quantification of in vitro replication kinetics of Alagoas vesiculovirus isolates by digital droplet RT-PCR.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Single Cell Analysis of Drug Susceptibility ofAntibiotics (Basel, Switzerland) · 2020
    Article
  20. 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

3 authors at 1 institution in 1 country.

Ying ZhuDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, 53706-1607, USA.
Andrew Yongky
John Yin
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Nihal Ahmad · 1985 to 2026
$142.6M
ZOLEDRONATE PREVENTS BONE LOSS IN OVARIECTOMIZED RHESUS MONKEYSP51RR000167 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI CADWALLADER, MARTIN · 1985 to 2011
$106.7M
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
NCI NIH HHS CA014520-32NCI NIH HHS P30 CA014520NCRR NIH HHS 5P51-RR000167-46NCRR NIH HHS P51 RR000167NIAID NIH HHS AI071197NIAID NIH HHS R21 AI071197NIAID NIH HHS R33 AI071197
6 · The paper itself

Abstract

Genetic and environmental factors will influence the growth of an RNA virus, but their relative contributions are challenging to resolve because standard culture methods mask how virus particles interact with individual host cells. Here, single particles of vesicular stomatitis virus, a prototype RNA virus, were used to infect individual BHK cells. Infected cells produced 50 to 8000 progeny virus particles, but these differences were lost upon subsequent culture, suggesting the diversity of yields reflected cell-to-cell differences rather than viral genetic variation. Cells infected at different phases of their cell cycle produced from 1400 (early S) to 8700 (G(2)M) infectious virus particles, coinciding with the middle-to-upper range of the observed distribution. Fluctuations in virus and cell compositions and noisy gene expression may also contribute to the broad distribution of virus yields. These findings take a step toward quantifying how environmental variation can impact the fitness distribution of an RNA virus.

Indexed as

AnimalsCell CycleCell LineCricetinaeRhabdoviridae InfectionsRNA, ViralVesiculovirusVirus ReplicationRNA, Viral

Identifiers

PMID19070881
PMCPMC2666790
OpenAlexW2082255790

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.