Evidence map›Paper›PMID 24967693›Full record

ReviewViruses2014

RNA virus reverse genetics and vaccine design.

Christopher C Stobart, Martin L Moore

Abstract readReview
In one paragraph

Review in Viruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
–field-weighted citation impact
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

69 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Reverse Genetics of Dengue Virus.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Applying Reverse Genetics to Study Measles Virus Interactions with the Host.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Article
  20. Perspective vaccines for emerging viral diseases in farm animals.Clinical and experimental vaccine research · 2023
    Review

9 more citing papers are in PubMed but not listed here.

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.

Christopher C StobartDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, USA. c.c.stobart@emory.edu.
Martin L MooreDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, USA. martin.moore@emory.edu.

Funding

Viral and Host Determinants of Infant and Childhood Allergy and AsthmaU19AI095227 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Dawn C Newcomb · 2011 to 2026
$34.9M
Training a New Generation of VaccinologistsT32AI074492 · NIAID · EMORY UNIVERSITY · PI Rama Rao Amara, Benjamin A Lopman · 2009 to 2026
$6.4M
Role of the Respiratory Syncytial Virus Fusion Protein in Airway Mucus InductionR01AI087798 · NIAID · EMORY UNIVERSITY · PI MOORE, MARTIN LAWRENCE · 2010 to 2014
$1.9M
NIAID NIH HHS R01 AI087798NIAID NIH HHS R01AI087798NIAID NIH HHS T32 AI074492NIAID NIH HHS U19 AI095227NIAID NIH HHS U19AI095227
6 · The paper itself

Abstract

RNA viruses are capable of rapid spread and severe or potentially lethal disease in both animals and humans. The development of reverse genetics systems for manipulation and study of RNA virus genomes has provided platforms for designing and optimizing viral mutants for vaccine development. Here, we review the impact of RNA virus reverse genetics systems on past and current efforts to design effective and safe viral therapeutics and vaccines.

Indexed as

Genome, ViralAnimalsCoronaviridaeFlaviviridaeGenetic EngineeringHumansOrthomyxoviridaeParamyxoviridaeReverse GeneticsRNA Virus InfectionsViral VaccinesViral Vaccines

Identifiers

PMID24967693
PMCPMC4113782

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.