Selective expansion of myeloid and NK cells in humanized mice yields human-like vaccine responses.
Selective expansion of myeloid and NK cells in humanized mice yields human-like vaccine responses.
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DOI:
10.1038/s41467-018-07478-2
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发表时间:
2018-11-28
影响因子:
16.6
通讯作者:
Ploss A
中科院分区:
文献类型:
--
作者:
Douam F;Ziegler CGK;Hrebikova G;Fant B;Leach R;Parsons L;Wang W;Gaska JM;Winer BY;Heller B;Shalek AK;Ploss A
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. Humanized mice are an enabling technology to explore human immunity and disease. Here, Douam et al. provide an in-depth comparison of immune responses to yellow fever vaccine in human vaccinees, conventional and second-generation humanized mice and define a workflow to evaluate and refine these models.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
17.1
作者:
Dudek TE;No DC;Seung E;Vrbanac VD;Fadda L;Bhoumik P;Boutwell CL;Power KA;Gladden AD;Battis L;Mellors EF;Tivey TR;Gao X;Altfeld M;Luster AD;Tager AM;Allen TM
通讯作者:
Allen TM
影响因子:
28.3
作者:
Chan KR;Wang X;Saron WAA;Gan ES;Tan HC;Mok DZL;Zhang SL;Lee YH;Liang C;Wijaya L;Ghosh S;Cheung YB;Tannenbaum SR;Abraham SN;St John AL;Low JGH;Ooi EE
通讯作者:
Ooi EE
影响因子:
5.4
作者:
Frias-Staheli, Natalia;Dorner, Marcus;Ploss, Alexander
通讯作者:
Ploss, Alexander
影响因子:
30.5
作者:
Huang, Li-Rung;Wohlleber, Dirk;Knolle, Percy A.
通讯作者:
Knolle, Percy A.