Molecular signatures of antibody responses derived from a systems biology study of five human vaccines
Molecular signature of antibody responses derived from a system biology study of five human vaccines
Shuzhao Li, Nadine Rouphael, Sai Duraisingham, Sandra Romero-Steiner, Scott Presnell, Carl Davis, Daniel S Schmidt, Scott E Johnson, Andrea Milton, Gowrisankar Rajam, Sudhir Kasturi, George M Carlone, Charlie Quinn, Damien Chaussabel, A Karolina Palucka, Mark J Mulligan, Rafi Ahmed, David S Stephens, Helder I Nakaya & Bali Pulendran
Nature Immunology. 2014; 15, 195–204.
Speaker: Ming-Che, Tsai (蔡明哲) Time: 13:00~14:00. May 21, 2014
Commentator: Dr. Jenn-Wei Chen (陳振暐 博士) Place: Room 601
Abstract:
Immune responses can be activated by a of variety vaccines and produce protective antibodies. The efficacy of many vaccines must be evaluated by clinical trial and may take a long time. Many studies have been used to analyze the vaccine-induced immune responses by system biology approaches. Moreover, the molecular signature can be analyzed and predicted by these published online databases and it may save time for vaccine development during clinical trials. However, whether the vaccine-induced antibodies have the same ‘molecular signature’ and whether the molecular signature can be predicted are still unknown. Based on this, the author selected five different vaccines to study their respective immune responses on 30 healthy adult young men. After vaccination, these blood samples were collected and analyzed by gene-expression test, ELISA, and FACS ranging from a few days to long-term, then compared with the blood transcriptomemodules (BTMs). The BTMs were reconstructed with correlation of large-scale networking by system biology studies. These results showed that the BTMs could confirm similar molecular signature of five different vaccine-induced antibodies, and even found some unpublished immune response pathways. In this study, the author demonstrated that the BTMs were indeed a powerful system biology tools to analyze and predict the molecular signature of vaccine-induced antibodies, and could analyze big range of different vaccines.
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