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Novel vaccine design based on genomics data analysis: A review
Scandinavian Journal of Immunology ( IF 3.7 ) Pub Date : 2020-10-11 , DOI: 10.1111/sji.12986
Guangli Lu 1 , Sharui Shan 2, 3 , Bibi Zainab 4 , Zainab Ayaz 4 , Jialiang He 5 , Zhenxing Xie 6 , Umer Rashid 7 , Dalin Zhang 8 , Arshad Mehmood Abbasi 4
Affiliation  

Modification of pathogenic strains with the passage of time is responsible for evolution in the timeline of vaccine development for last 30 years. Recent advancements in computational vaccinology on the one hand and genome sequencing approaches on the other have generated new hopes in vaccine development. The aim of this review was to discuss the evolution of vaccines, their characteristics and limitations. In this review, we highlighted the evolution of vaccines, from first generation to the current status, pointing out how different vaccines have emerged and different approaches that are being followed up in the development of more rational vaccines against a wide range of diseases. Data were collected using Google Scholar, Web of Science, Science Direct, Web of Knowledge, Scopus and Science Hub, whereas computational tools such as NCBI, GeneMANIA and STRING were used to analyse the pathways of vaccine action. Innovative tools, such as computational tools, recombinant technologies and intra‐dermal devices, are currently being investigated in order to improve the immunological response. New technologies enlightened the interactions of host proteins with pathogenic proteins for vaccine candidate development, but still there is a need of integrating transcriptomic and proteomic approaches. Although immunization with genomics data is a successful approach, its advantages must be assessed case by case and its applicability depends on the nature of the agent to be immunized, the nature of the antigen and the type of immune response required to achieve effective protection.

中文翻译:

基于基因组数据分析的新型疫苗设计:综述

随着时间的流逝,对致病性菌株的修饰是导致疫苗开发时间表持续近30年发展的原因。一方面在计算疫苗学方面的最新进展,另一方面在基因组测序方法方面,为疫苗开发带来了新的希望。这篇综述的目的是讨论疫苗的进化,其特征和局限性。在这篇综述中,我们重点介绍了疫苗从第一代到目前的发展,指出了如何开发出不同的疫苗,以及在开发针对各种疾病的更合理的疫苗时正在遵循的不同方法。数据是使用Google Scholar,Web of Science,Science Direct,Web of Knowledge,Scopus和Science Hub收集的,而诸如NCBI,GeneMANIA和STRING用于分析疫苗作用的途径。目前正在研究创新工具,例如计算工具,重组技术和真皮内器械,以改善免疫反应。新技术启发了宿主蛋白与致病蛋白在疫苗候选物开发中的相互作用,但是仍然需要整合转录组学和蛋白质组学方法。尽管使用基因组学数据进行免疫接种是一种成功的方法,但必须逐案评估其优点,其适用性取决于要免疫的试剂的性质,抗原的性质以及获得有效保护所需的免疫应答的类型。为了改善免疫反应,目前正在研究重组技术和皮内器械。新技术启发了宿主蛋白与致病蛋白在疫苗候选物开发中的相互作用,但是仍然需要整合转录组学和蛋白质组学方法。尽管使用基因组学数据进行免疫接种是一种成功的方法,但必须逐案评估其优点,其适用性取决于要免疫的试剂的性质,抗原的性质以及获得有效保护所需的免疫应答的类型。为了改善免疫反应,目前正在研究重组技术和皮内器械。新技术启发了宿主蛋白与致病蛋白在疫苗候选物开发中的相互作用,但是仍然需要整合转录组学和蛋白质组学方法。尽管使用基因组数据进行免疫接种是一种成功的方法,但必须逐案评估其优势,其适用性取决于要免疫的试剂的性质,抗原的性质以及实现有效保护所需的免疫应答的类型。新技术启发了宿主蛋白与致病蛋白在疫苗候选物开发中的相互作用,但是仍然需要整合转录组学和蛋白质组学方法。尽管使用基因组数据进行免疫接种是一种成功的方法,但必须逐案评估其优势,其适用性取决于要免疫的试剂的性质,抗原的性质以及实现有效保护所需的免疫应答的类型。新技术启发了宿主蛋白与致病蛋白在疫苗候选物开发中的相互作用,但是仍然需要整合转录组学和蛋白质组学方法。尽管使用基因组数据进行免疫接种是一种成功的方法,但必须逐案评估其优势,其适用性取决于要免疫的试剂的性质,抗原的性质以及实现有效保护所需的免疫应答的类型。
更新日期:2020-10-11
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