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针对个性化疫苗设计的新抗原免疫反应的计算和实验评估

Iker Malaina¹, Lorena Gonzalez-Melero^2,3, Luis Martínez^1,4

¹Department of Mathematics, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.

International journal of molecular sciences

|May 27, 2023

概括

生物信息工具有效地识别了针对个性化癌症疫苗的新抗原. 这些工具突出了HLA-II识别中的新抗原,导致了一种激活免疫反应的疫苗.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
生物信息学是一种生物信息学.

背景情况:

新抗原对于个性化抗瘤疫苗至关重要.
评估生物信息学在新抗原检测中的有效性对于疫苗开发至关重要.

研究的目的:

评估生物信息工具在识别引发免疫反应的新抗原方面的有效性.
开发和测试一种基于已识别的新抗原的新型个性化抗瘤疫苗.

主要方法:

在皮肤黑色素瘤患者中收集了来自6048种潜在新抗原的DNA样本.
利用IEDB工具对新抗原和非突变进行生物信息分析.
设计了一种纳米粒子封装疫苗,使用聚合函数和组合优化.
对开发的疫苗进行了评估的ex vivo免疫反应.

主要成果:

生物信息工具在检测新抗原与非突变序列作为结合剂时没有差异.
在HLA-II识别 (p=0.03) 中,IEDB工具成功地突出显示了新抗原在非突变上.
一种新型的疫苗配制了六种选定的新抗原,证明了特定的免疫反应激活ex vivo.

结论:

生物信息工具对于识别新抗原在个性化癌症疫苗开发中非常有价值.
这项研究证实了这些工具的实用性,无论是in silico还是ex vivo.
开发的疫苗方法表明,它有望引起特定的抗瘤免疫反应.

关键词:

生物信息学是一种生物信息学.它们是ex vivo,ex vivo.人类白细胞抗原.免疫性免疫性免疫性纳米颗粒是一种纳米粒子.新抗原是一种新抗原.疫苗的设计是如何设计的

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