High-Resolution Temporal Response Patterns to Influenza Vaccine Reveal a Distinct Human Plasma Cell Gene Signature

被引:58
作者
Henn, Alicia D. [1 ,2 ]
Wu, Shuang [2 ,3 ,4 ]
Qiu, Xing [2 ,3 ,4 ]
Ruda, Melissa [1 ,2 ]
Stover, Michael [2 ,3 ,4 ]
Yang, Hongmei [2 ,3 ,4 ]
Liu, Zhiping [2 ,3 ,4 ]
Welle, Stephen L. [2 ,5 ]
Holden-Wiltse, Jeanne [2 ,3 ,4 ]
Wu, Hulin [2 ,3 ,4 ]
Zand, Martin S. [1 ,2 ]
机构
[1] Univ Rochester, Sch Med & Dent, Dept Med, Div Nephrol, Rochester, NY 14642 USA
[2] Univ Rochester, Sch Med & Dent, Ctr Biodefense Immune Modeling, Rochester, NY 14627 USA
[3] Univ Rochester, Sch Med & Dent, Dept Biostat & Computat Biol, Rochester, NY USA
[4] Univ Rochester, Sch Med & Dent, Ctr Integrat Bioinformat & Expt Math, Rochester, NY USA
[5] Univ Rochester, Sch Med & Dent, Funct Genom Ctr, Rochester, NY USA
关键词
MEMORY B-CELLS; YELLOW-FEVER VACCINE; SECRETING CELLS; SYSTEMS BIOLOGY; CPG DNA; EXPRESSION; DIFFERENTIATION; TIME; FREQUENCIES; ACTIVATION;
D O I
10.1038/srep02327
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
To identify sources of inter-subject variation in vaccine responses, we performed high-frequency sampling of human peripheral blood cells post-vaccination, followed by a novel systems biology analysis. Functional principal component analysis was used to examine time varying B cell vaccine responses. In subjects vaccinated within the previous three years, 90% of transcriptome variation was explained by a single subject-specific mathematical pattern. Within individual vaccine response patterns, a common subset of 742 genes was strongly correlated with migrating plasma cells. Of these, 366 genes were associated with human plasmablasts differentiating in vitro. Additionally, subject-specific temporal transcriptome patterns in peripheral blood mononuclear cells identified migration of myeloid/dendritic cell lineage cells one day after vaccination. Upstream analyses of transcriptome changes suggested both shared and subject-specific transcription groups underlying larger patterns. With robust statistical methods, time-varying response characteristics of individual subjects were effectively captured along with a shared plasma cell gene signature.
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页数:12
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