Russo, Pedro DataONE 2016 Yellow fever transcriptomics gene expression Russo, Pedro Dataset 9830056 Creative Commons Public Domain Dedication (CC0) A major challenge in vaccinology is to prospectively determine vaccine efficacy. Here we have used a systems biology approach to identify early gene 'signatures' that predicted immune responses in humans vaccinated with yellow fever vaccine YF-17D. Vaccination induced genes that regulate virus innate sensing and type I interferon production. Computational analyses identified a gene signature, including complement protein C1qB and eukaryotic translation initiation factor 2 alpha kinase 4-an orchestrator of the integrated stress response-that correlated with and predicted YF-17D CD8(+) T cell responses with up to 90% accuracy in an independent, blinded trial. A distinct signature, including B cell growth factor TNFRS17, predicted the neutralizing antibody response with up to 100% accuracy. These data highlight the utility of systems biology approaches in predicting vaccine efficacy. PMBCs were isolated with citrate buffered cell preparation tubes (CPT) from 2 healthy donors who were not previously vaccinated with YF-17D. Total RNA was either isolated directly from the freshly collected cells or after cell culture. Cells were cultured for 3 and 12 hours in the presence or absence of YF-17D vaccine.