Transcriptional Atlas of Human Immune Responses to 13 Vaccines:
Systems biology approaches have been used to define molecular signatures and mechanisms of immunity to vaccination. However, most such studies have been performed on single vaccines, and comparative analysis of the response to different vaccines is lacking. Using publicly available datasets, we are performing a meta-analysis of temporal transcriptional data of over 3,000 samples, obtained from 820 adults across 28 studies of 13 different vaccines, to understand how variation in vaccine platforms (inactivated, live attenuated, viral vector, etc.), target pathogens and adjuvants can influence the immune response. We are also using machine learning approaches to identify early transcriptional signatures predictive of the magnitude and durability of antibody responses across multiple vaccines, in order to guide development of more effective and long-lasting vaccine formulations.
Overlap in upregulated transcriptional modules across vaccine responses on day one post-vaccination.