About this item:

1,076 Views | 289 Downloads

Author Notes:

Correspondence should be addressed to B.P. (bpulend@emory.edu)

These authors contributed equally to this work.

We thank Beverly Weaver and the Hope clinic Staff for their assistance with the clinical study.

This study was supported by funding from the US National Institutes of Health (U19AI090023, U54AI057157, R37AI48638, R37DK057665, U19AI057266, AI100663-02) to B.P. laboratory; by the Georgia research Alliance GRA and Emory University Research Committee and from the Clinical and Translational Science Award Program, NIH/NCRR to Nadine Rouphael.


Molecular signatures of antibody responses derived from a systems biological study of 5 human vaccines

Show all authors Show less authors


Journal Title:

Nature Immunology


Volume 15, Number 2


, Pages 195-204

Type of Work:

Article | Post-print: After Peer Review


Many vaccines induce protective immunity via antibodies. Recent studies have used systems biological approaches to determine signatures that predict vaccine immunity in humans, but whether there is a ‘universal signature’ that can predict antibody responses to any vaccine, is unknown. Here we performed systems analyses of immune responses to the meningococcal polysaccharide and conjugate vaccines in healthy adults, in the broader context of our previous studies with the yellow fever and two influenza vaccines. To achieve this, we performed a large-scale network integration of public human blood transcriptomes, and systems-scale databases in specific biological contexts, and deduced a set of blood transcription modules. These modules revealed distinct transcriptional signatures of antibody responses to different classes of vaccines providing key insights into primary viral, protein recall and anti-polysaccharide responses. These results illuminate the early transcriptional programs orchestrating vaccine immunity in humans, and demonstrate the power of integrative network modeling.

Copyright information:

© 2013, Rights Managed by Nature Publishing Group

Export to EndNote