Systems vaccinology and big data in the vaccine development chain

被引：46

作者：

Raeven, Rene H. M. ^{[1
]}

van Riet, Elly ^{[1
]}

Meiring, Hugo D. ^{[1
]}

Metz, Bernard ^{[1
]}

Kersten, Gideon F. A. ^{[1
,2
]}

机构：

[1] Intravacc Inst Translat Vaccinol, Antonie Leeuwenhoeklaan 9,POB 450, NL-3720 BA Bilthoven, Netherlands

[2] Leiden Univ, Div Biotherapeut, Leiden Acad Ctr Drug Res, Leiden, Netherlands

来源：

IMMUNOLOGY | 2019年 / 156卷 / 01期

关键词：

bioinformatics; proteomics; T-cell; transcriptomics; vaccination; NEWLY SYNTHESIZED PROTEINS; MEMBRANE VESICLE VACCINE; YELLOW-FEVER VACCINE; BORDETELLA-PERTUSSIS; HIGH-THROUGHPUT; IMMUNE-SYSTEM; MOLECULAR SIGNATURES; INFLUENZA VACCINATION; SELECTIVE ENRICHMENT; CELLULAR SIGNATURES;

D O I：

10.1111/imm.13012

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems-based studies endorse rational design and effective development of safe and efficacious vaccines. In this review we first describe different omics-techniques that form the pillars of systems vaccinology. In the second part, the application of systems vaccinology in the different stages of vaccine development is described. Overall, this review shows that systems vaccinology has become an important tool anywhere in the vaccine development chain.

引用

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页码：33 / 46

页数：14

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