基于系统生物学的方法在疫苗开发中的应用

P. Manque, Ute Woehlbier
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引用次数: 0

摘要

疫苗是预防和治疗疾病的最具成本效益的方法之一。在控制病毒性疾病中使用疫苗是医学史上的一个重要里程碑。基因组革命使我们有可能扫描基因组,以寻找新的和更有效的候选疫苗,生物信息学的进步为应用不仅侧重于抗原发现,而且侧重于比较基因组学、致病因素鉴定和数据挖掘的战略提供了框架。此外,包括基因表达技术(如微阵列和蛋白质组学)在内的后基因组技术的进展使我们有机会探索宿主对疫苗的反应,从而更好地了解对病原体和/或疫苗的免疫反应,协助开发新的更好的疫苗和佐剂。本章将回顾基于系统生物学的方法,包括基因组学、基因表达技术和生物信息学如何改变了对抗原发现和疫苗开发的思考方式。此外,本章将讨论宿主反应的研究如何结合“计算机”方法有助于预测免疫原性和提高疫苗的效力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systems Biology-Based Approaches Applied to Vaccine Development
Vaccines represent one of the most cost-effective ways to prevent and treat diseases. The use of vaccines in the control of viral diseases represents an important milestone in the history of medicine. The genomic revolution brought us the possibility to scan genomes in the search of new and more effective vaccine candidates and the advancement of bioinformatics provided the framework for the application of strategies that were focused not only on antigen discovery but also on comparative genomics, and pathogenic factor identification and data mining. In addition, the progress in post-genomic technologies including gene expression technologies such as microarray and proteomics gave us the opportunity to explore the host responses to vaccines leading to a better understanding of immune responses to pathogens and/or to vaccines, assisting in the development of new and better vaccines and adjuvants. This chapter will review how systems biology-based approaches including genomics, gene expression technologies, and bioinformatics have changed the way of thinking about antigen discovery and vaccine development. In addition, the chapter will discuss how the study of the host responses in combination with “in silico” approaches could help predict immunogenicity and improve the efficacy of vaccines.
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