Molecular signatures of antibody responses derived from a systems biology study of five human vaccines
生物
免疫
抗体
免疫系统
系统生物学
免疫学
计算生物学
背景(考古学)
病毒学
古生物学
作者
Shuzhao Li,Nadine Rouphael,Sai Duraisingham,Sandra Romero‐Steiner,Scott Presnell,Carl W. Davis,Daniel S. Schmidt,Scott E. Johnson,Andrea Milton,Gowrisankar Rajam,Sudhir Pai Kasturi,George M. Carlone,Charlie Quinn,Damien Chaussabel,A. Karolina Palucka,Mark J. Mulligan,Rafi Ahmed,David S. Stephens,Helder I. Nakaya,Bali Pulendran
Pulendran and colleagues use a systems biology analysis to reveal distinct transcriptional signatures of antibody responses to different classes of human vaccines. Many vaccines induce protective immunity via antibodies. Systems biology approaches have been used to determine signatures that can be used to predict vaccine-induced immunity in humans, but whether there is a 'universal signature' that can be used to predict antibody responses to any vaccine is unknown. Here we did systems analyses of immune responses to the polysaccharide and conjugate vaccines against meningococcus in healthy adults, in the broader context of published studies of vaccines against yellow fever virus and influenza virus. To achieve this, we did a large-scale network integration of publicly available human blood transcriptomes and systems-scale databases in specific biological contexts and deduced a set of transcription modules in blood. Those modules revealed distinct transcriptional signatures of antibody responses to different classes of vaccines, which provided key insights into primary viral, protein recall and anti-polysaccharide responses. Our results elucidate the early transcriptional programs that orchestrate vaccine immunity in humans and demonstrate the power of integrative network modeling.