Evidence map›Paper›PMID 19729849›Full record

ReviewThe Journal of clinical investigation2009

Vaccinology in the genome era.

C Daniela Rinaudo, John L Telford, Rino Rappuoli, Kate L Seib

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
–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

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Computational vaccine development against protozoa.Computational and structural biotechnology journal · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Toward rational vaccine engineering.Advanced drug delivery reviews · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Japanese encephalitis virus: A multi-epitope loaded peptide vaccine formulation using reverse vaccinology approach.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Article
  20. Article

1 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

4 authors.

C Daniela RinaudoNovartis Vaccines, Siena, Italy.
John L Telford
Rino Rappuoli
Kate L Seib

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination has played a significant role in controlling and eliminating life-threatening infectious diseases throughout the world, and yet currently licensed vaccines represent only the tip of the iceberg in terms of controlling human pathogens. However, as we discuss in this Review, the arrival of the genome era has revolutionized vaccine development and catalyzed a shift from conventional culture-based approaches to genome-based vaccinology. The availability of complete bacterial genomes has led to the development and application of high-throughput analyses that enable rapid targeted identification of novel vaccine antigens. Furthermore, structural vaccinology is emerging as a powerful tool for the rational design or modification of vaccine antigens to improve their immunogenicity and safety.

Indexed as

AnimalsAntigens, BacterialCommunicable Disease ControlEpitope MappingGene Expression ProfilingGenomicsHost-Pathogen InteractionsHumansMeningococcal VaccinesNeisseria meningitidis, Serogroup BProteomicsVaccinationVaccinesAntigens, BacterialMeningococcal VaccinesVaccines

Identifiers

PMID19729849
PMCPMC2735939

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.