Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

ABSTRACT: A major goal of systems biology is the development of models that accurately predict responses to perturbation. Constructing such models requires the collection of dense measurements of system states, yet transformation of data into predictive constructs remains a challenge. To begin to model human immunity, we analyzed immune parameters in depth both at baseline and in response to influenza vaccination. Peripheral blood mononuclear cell transcriptomes, serum titers, cell subpopulation frequencies, and B cell responses were assessed in 63 individuals before and after vaccination and were used to develop a systematic framework to dissect inter- and intra-individual variation and build predictive models of postvaccination antibody responses. Strikingly, independent of age and pre-existing an

SUBMITTER: Tsang JS 

PROVIDER: S-EPMC4139290 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature