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用于在全球人群层面研究针对SARS-CoV-2的细胞免疫反应、疫苗效力及未来大流行的生物信息学工具。

Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level.

作者信息

López Daniel, Zumárraga Javier

机构信息

Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28220 Majadahonda, Madrid, Spain.

出版信息

Int J Mol Sci. 2024 Dec 16;25(24):13477. doi: 10.3390/ijms252413477.

Abstract

Antigen recognition by human leukocyte antigen (HLA) restriction is critical for an adequate antiviral response in both natural infection and vaccination. However, the overwhelming polymorphism of HLA, with nearly 40,000 alleles identified, is an important limitation for the global analysis of cellular immune responses and vaccine efficacy. In this narrative review, we included several immunoinformatics studies performed in our laboratory to circumvent this limitation. These analyses focused on studying the cellular immune responses restricted by the most common HLA alleles, and their role in vaccine efficacy. Computational studies validated experimentally, such as our laboratory has carried out, represent a useful, rapid, and cost-effective strategy to combat future pandemics.

摘要

人类白细胞抗原(HLA)限制下的抗原识别对于自然感染和疫苗接种中的充分抗病毒反应至关重要。然而,HLA具有压倒性的多态性,已鉴定出近40000个等位基因,这是对细胞免疫反应和疫苗效力进行全球分析的一个重要限制。在这篇叙述性综述中,我们纳入了在我们实验室进行的几项免疫信息学研究,以规避这一限制。这些分析聚焦于研究受最常见HLA等位基因限制的细胞免疫反应及其在疫苗效力中的作用。经实验验证的计算研究,比如我们实验室所开展的研究,是应对未来大流行的一种有用、快速且经济高效的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8878/11678114/7bb455098d92/ijms-25-13477-g001.jpg

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