GoKawiilReference list traces two decades of systems vaccinology research foundations
This bibliography compiles foundational studies establishing systems vaccinology, a field using genomics and machine learning to predict and understand vaccine-induced immunity in humans. Key cited works include the 2009 study by Querec and colleagues, which first showed that blood transcriptional signatures could predict antibody responses to the yellow fever vaccine, and related papers on multilineage immune activation and pandemic vaccine response variability.
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These references underpin a research approach increasingly used to design and evaluate vaccines by predicting individual immune outcomes before large-scale trials. Understanding the origins of systems vaccinology helps explain how modern vaccine platforms, including those deployed during COVID-19, are being refined using molecular and computational tools rather than trial-and-error testing.
- Systems vaccinology combines genomics, machine learning, and immunology to predict vaccine responses.
- The 2009 yellow fever vaccine study was a landmark proof of concept for predictive immune signatures.
- This body of work informs ongoing efforts to personalize and improve vaccine design, including pandemic responses.
Janeway's Immunobiology textbook — If systems vaccinology and immune correlates of protection pique your curiosity, Janeway's Immunobiology is the classic foundation text that explains innate and adaptive immunity from the ground up. It's the standard reference students and researchers reach for when decoding papers like these on vaccine-induced immune responses.
See Janeway's Immunobiology textbook on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: nature.com — Pulendran, 2026-08-26
Published there as: “Systems vaccinology and the architecture of human immunity”
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