Identifying gnostic predictors of the vaccine response

WN Haining, B Pulendran - Current opinion in immunology, 2012 - Elsevier
Current opinion in immunology, 2012Elsevier
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 …
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.
Elsevier