Selective expansion of myeloid and NK cells in humanized mice yields human-like vaccine responses
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Author(s)
Douam, Florian
Hrebikova, Gabriela
Fant, Bruno
Leach, Robert
Parsons, Lance
Wang, Wei
Gaska, Jenna M.
Winer, Benjamin Y.
Heller, Brigitte
Ploss, Alexander
Date Issued
November 2018
Journal
Nature Communications
Publisher
Nature Publishing Group
Citation
Douam, Florian, Carly G. K. Ziegler, Gabriela Hrebikova, Bruno Fant, Robert Leach, Lance Parsons, Wei Wang, et al. “Selective Expansion of Myeloid and NK Cells in Humanized Mice Yields Human-Like Vaccine Responses.” Nature Communications 9, no. 1 (November 28, 2018). © 2018 The Authors
Version
Final published version
Abstract
Mice engrafted with components of a human immune system have become widely-used models for studying aspects of human immunity and disease. However, a defined methodology to objectively measure and compare the quality of the human immune response in different models is lacking. Here, by taking advantage of the highly immunogenic live-attenuated yellow fever virus vaccine YFV-17D, we provide an in-depth comparison of immune responses in human vaccinees, conventional humanized mice, and second generation humanized mice. We demonstrate that selective expansion of human myeloid and natural killer cells promotes transcriptomic responses akin to those of human vaccinees. These enhanced transcriptomic profiles correlate with the development of an antigen-specific cellular and humoral response to YFV-17D. Altogether, our approach provides a robust scoring of the quality of the human immune response in humanized mice and highlights a rational path towards developing better pre-clinical models for studying the human immune response and disease.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Harvard University--MIT Division of Health Sciences and Technology
Ragon Institute of MGH, MIT and Harvard
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41467-018-07478-2
