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Series GSE47353 Query DataSets for GSE47353
Status Public on Apr 10, 2014
Title Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses
Organism Homo sapiens
Experiment type Expression profiling by array
Summary 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.
 
Overall design According to CHI protocol 09-H1-0239, PBMC samples from 63 healthy voluntiers were collected 7 days prior to vaccination, immediately before vaccination (day0), and at 3 time points (day1, day7 and day70) post vaccination.
The CHI Consortium
 
Contributor(s) Tsang JS, Schwartzberg PL, Kotliarov Y, Biancotto A, Xie Z, Germain RN, Wang E, Olnes MJ, Narayanan M, Golding H, Moir S, Dickler HB, Perl S, Cheung F
Citation(s) 24725414
Submission date May 24, 2013
Last update date Jul 26, 2018
Contact name Yuri Kotliarov
E-mail kotliary@mail.nih.gov
Organization name NHLBI
Department CHI
Street address 4 Memorial Dr., room 134
City Bethesda
State/province MD
ZIP/Postal code 20892
Country USA
 
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (292)
GSM1147758 PBMC_200_day0
GSM1147759 PBMC_200_day1
GSM1147760 PBMC_200_day70
Relations
BioProject PRJNA205279

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Supplementary file Size Download File type/resource
GSE47353_RAW.tar 1.1 Gb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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