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

John S. Tsang, Pamela L. Schwartzberg, Yuri Kotliarov, Angelique Biancotto, Zhi Xie, Ronald N. Germain, Ena Wang, Matthew J. Olnes, Manikandan Narayanan, Hana Golding, Susan Moir, Howard B. Dickler, Shira Perl, Foo Cheung

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184 Citations (Scopus)


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 antibody titers, accurate models could be constructed using pre-perturbation cell populations alone, which were validated using independent baseline time points. Most of the parameters contributing to prediction delineated temporally stable baseline differences across individuals, raising the prospect of immune monitoring before intervention.

Original languageEnglish
Pages (from-to)499-513
Number of pages15
Issue number2
Publication statusPublished - 10 Apr 2014


ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Tsang, J. S., Schwartzberg, P. L., Kotliarov, Y., Biancotto, A., Xie, Z., Germain, R. N., Wang, E., Olnes, M. J., Narayanan, M., Golding, H., Moir, S., Dickler, H. B., Perl, S., & Cheung, F. (2014). Global analyses of human immune variation reveal baseline predictors of postvaccination responses. Cell, 157(2), 499-513.