Evidence map›Paper›PMID 28915264›Full record

ArticlePloS one2017

Inhibition of infection spread by co-transmitted defective interfering particles.

Ashley Baltes, Fulya Akpinar, Bahar Inankur, John Yin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Spatio-temporal modelling ofbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
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  7. Article
  8. Article
  9. Review
  10. The evolution of cheating in viruses.Nature communications · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

4 authors at 1 institution in 1 country.

Ashley BaltesDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Fulya AkpinarDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Bahar InankurDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
John YinDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID http://orcid.org/0000-0001-6146-0594
University of Wisconsin–Madison · US

Funding

Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTINE Marie SEROOGY · 2013 to 2026
$22.5M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Evolution of Virus-Host InteractionsR01AI091646 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2011 to 2015
$2.0M
NHGRI NIH HHS T32 HG002760NIAID NIH HHS R01 AI091646NIAID NIH HHS U19 AI104317
6 · The paper itself

Abstract

Although virus release from host cells and tissues propels the spread of many infectious diseases, most virus particles are not infectious; many are defective, lacking essential genetic information needed for replication. When defective and viable particles enter the same cell, the defective particles can multiply while interfering with viable particle production. Defective interfering particles (DIPs) occur in nature, but their role in disease pathogenesis and spread is not known. Here, we engineered an RNA virus and its DIPs to express different fluorescent reporters, and we observed how DIPs impact viral gene expression and infection spread. Across thousands of host cells, co-infected with infectious virus and DIPs, gene expression was highly variable, but average levels of viral reporter expression fell at higher DIP doses. In cell populations spatial patterns of infection spread provided the first direct evidence for the co-transmission of DIPs with infectious virus. Patterns of spread were highly sensitive to the behavior of initial or early co-infected cells, with slower overall spread stemming from higher early DIP doses. Under such conditions striking patterns of patchy gene expression reflected localized regions of DIP or virus enrichment. From a broader perspective, these results suggest DIPs contribute to the ecological and evolutionary persistence of viruses in nature.

Indexed as

Gene Expression Regulation, ViralModels, BiologicalAnimalsCell LineCricetinaeDefective VirusesRNA VirusesRNA Virus Infections

Identifiers

PMID28915264
PMCPMC5600374
OpenAlexW2756301958

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.