Global analyses of human immune variation reveal baseline predictors of the post-vaccination response.

ABSTRACT: A major goal of systems biology is the development of models that accurately predict responses of a cell or organism to perturbation. Constructing such models requires collection of dense measurements of system states, yet transformation of the data into predictive constructs remains a challenge. As a first step towards modeling human immunity, we have analyzed immune parameters in depth both at baseline and in response to perturbation with influenza vaccination. Peripheral blood cell transcriptomes, serum titers, frequencies of 126 cell subpopulations, and B cell responses were assessed before and after vaccination in 63 individuals and used to develop a systematic, computational framework to dissect inter- and intra-individual variation and build predictive models of post-vaccination ant

ORGANISM(S): Homo sapiens

SUBMITTER: Yuri Kotliarov 

PROVIDER: E-GEOD-47353 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress