Evidence map›Paper›PMID 21570272›Full record

ReviewCurrent opinion in immunology2011

Systems biology approaches to new vaccine development.

Ann L Oberg, Richard B Kennedy, Peter Li, Inna G Ovsyannikova, Gregory A Poland

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

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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

5 authors.

Ann L ObergDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
Richard B Kennedy
Peter Li
Inna G Ovsyannikova
Gregory A Poland

Funding

Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
The Immunogenetics of Measles ImmunityR01AI033144 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 1993 to 2022
$8.1M
Immunogenetic Mechanisms of Vaccine ResponseR37AI048793 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2011 to 2020
$5.4M
IMMUNOGENETIC MECHANISMS OF VACCINE RESPONSER01AI048793 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2001 to 2010
$4.3M
NIAID NIH HHS AI-33144NIAID NIH HHS AI-48793NIAID NIH HHS AI-89859NIAID NIH HHS HHSN272201000025CNIAID NIH HHS R01 AI033144NIAID NIH HHS R01 AI048793NIAID NIH HHS R37 AI048793NIAID NIH HHS U01 AI089859
6 · The paper itself

Abstract

The current 'isolate, inactivate, inject' vaccine development strategy has served the field of vaccinology well, and such empirical vaccine candidate development has even led to the eradication of smallpox. However, such an approach suffers from limitations, and as an empirical approach, does not fully utilize our knowledge of immunology and genetics. A more complete understanding of the biological processes culminating in disease resistance is needed. The advent of high-dimensional assay technology and 'systems biology' along with a vaccinomics approach [1,2•] is spawning a new era in the science of vaccine development. Here we review recent developments in systems biology and strategies for applying this approach and its resulting data to expand our knowledge base and drive directed development of new vaccines. We also provide applied examples and point out new directions for the field in order to illustrate the power of systems biology.

Indexed as

AnimalsDrug DesignHumansModels, BiologicalProteomicsSystems BiologyVaccinesVaccines

Identifiers

PMID21570272
PMCPMC3129601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.