GSE47353   Details

GSE Accession GSE47353
Title Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses
Submission Date 4/11/14
Last Update Date
Pubmed ID 24725414
Experiment Type Expression profiling by array
Contributor 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
Contact Name Yuri Kotliarov
Contact E-mail kotliary@mail.nih.gov
Organization Name NHLBI
Country USA
Organism Homo sapiens
Organism ID 5/24/13
Organism Synonym man;human
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
Platform ID
Timepoint Count 60
Timepoints gsm: [200_day-, 201_day-, 202_day-, 204_day-, 205_day-, 206_day-, 207_day-, 209_day-, 212_day-, 213_day-, 215_day-, 217_day-, 218_day-, 221_day-, 222_day-, 224_day-, 226_day-, 227_day-, 228_day-, 229_day-, 230_day-, 231_day-, 232_day-, 233_day-, 234_day-, 235_day-, 237_day-, 241_day-, 244_day-, 245_day-, 246_day-, 247_day-, 248_day-, 249_day-, 250_day-, 251_day-, 252_day-, 254_day-, 256_day-, 257_day-, 259_day-, 260_day-, 261_day-, 262_day-, 263_day-, 265_day-, 267_day-, 268_day-, 270_day-, 272_day-, 273_day-, 274_day-, 275_day-, 277_day-, 279_day-, 280_day-, 281_day-, 282_day-, 283_day-, 284_day-]
Disease influenza
Disease ID DOID:8469