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Curr Opin Immunol DOI:10.1016/j.coi.2012.03.010

Identifying gnostic predictors of the vaccine response.

Publication TypeJournal Article
Year of Publication2012
AuthorsW Haining, N, Pulendran, B
JournalCurr Opin Immunol
Volume24
Issue3
Pages332-6
Date Published2012 Jun
ISSN1879-0372
KeywordsAnimals, Drug Design, Gene Expression, Genomics, Humans, Vaccines
Abstract

Molecular predictors of the response to vaccination could transform vaccine development. They would allow larger numbers of vaccine candidates to be rapidly screened, shortening the development time for new vaccines. Gene-expression based predictors of vaccine response have shown early promise. However, a limitation of gene-expression based predictors is that they often fail to reveal the mechanistic basis of their ability to classify response. Linking predictive signatures to the function of their component genes would advance basic understanding of vaccine immunity and also improve the robustness of vaccine prediction. New analytic tools now allow more biological meaning to be extracted from predictive signatures. Functional genomic approaches to perturb gene expression in mammalian cells permit the function of predictive genes to be surveyed in highly parallel experiments. The challenge for vaccinologists is therefore to use these tools to embed mechanistic insights into predictors of vaccine response.

URLhttp://linkinghub.elsevier.com/retrieve/pii/S0952-7915(12)00056-8
DOI10.1016/j.coi.2012.03.010
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/22633886?dopt=Abstract

Alternate JournalCurr. Opin. Immunol.
PubMed ID22633886
PubMed Central IDPMC3383371
Grant ListR37 AI048638 / AI / NIAID NIH HHS / United States
HHSN266200700006C / AI / NIAID NIH HHS / United States
U19 AI090023-03 / AI / NIAID NIH HHS / United States
R01AI091493 / AI / NIAID NIH HHS / United States
U19 AI090023 / AI / NIAID NIH HHS / United States
U19AI090023 / AI / NIAID NIH HHS / United States
R01 AI091493-03 / AI / NIAID NIH HHS / United States
R01DK057665 / DK / NIDDK NIH HHS / United States
U19 AI057266 / AI / NIAID NIH HHS / United States
N01 AI050025 / AI / NIAID NIH HHS / United States
R01 DK057665 / DK / NIDDK NIH HHS / United States
U19AI057266 / AI / NIAID NIH HHS / United States
HHSN266200700006C / / PHS HHS / United States
U54AI057157 / AI / NIAID NIH HHS / United States
R01 AI091493 / AI / NIAID NIH HHS / United States
U19 AI082630 / AI / NIAID NIH HHS / United States
R37 DK057665 / DK / NIDDK NIH HHS / United States
U19AI082630 / AI / NIAID NIH HHS / United States
R37AI48638 / AI / NIAID NIH HHS / United States
R37 AI048638-09A1 / AI / NIAID NIH HHS / United States
U54 AI057157 / AI / NIAID NIH HHS / United States