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用于癌症疫苗开发的MHC I类链相关蛋白A的结构分析与表位预测

Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development.

作者信息

Adekiya Tayo Alex, Aruleba Raphael Taiwo, Khanyile Sbonelo, Masamba Priscilla, Oyinloye Babatunji Emmanuel, Kappo Abidemi Paul

机构信息

Biotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South Africa.

Department of Biochemistry, College of Sciences, Afe Babalola University, PMB 5454, Ado-Ekiti 360001, Nigeria.

出版信息

Vaccines (Basel). 2017 Dec 25;6(1):1. doi: 10.3390/vaccines6010001.

Abstract

Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and viral infections. The expression of MIC-A leads to the activation of NKG2D receptors of natural killer and T cells, leading to the generation of innate immune response that can easily eliminate/cleanse tumour cells and other cells that express the protein. Several bioinformatics and immunoinformatics tools were used to analyse the sequence and structure of the MIC-A protein. These tools were used in building and evaluating modelled structure of MIC-A, and to predict several antigenic determinant sites on the protein. The MIC-A protein structure generated an average antigenic propensity of 1.0289. Additionally, the hydrophilic regions on the surface of the MIC-A protein where antibodies can be attached were revealed. A total of fourteen antigenic epitopes were predicted, with six found in the transmembrane protein topology, and are predicted to play a role in the development of vaccines that can reactivate the functionalities of the MIC-A protein on the surface of cancer cells in order to elicit a desired immune response.

摘要

主要组织相容性复合体I类链相关基因A序列是一种多态性基因,位于HLA - B着丝粒约46.6 kb处。它编码一种跨膜蛋白,是一种非经典人类白细胞抗原,其表达通常由癌症和病毒感染等应激条件诱导。MIC - A的表达导致自然杀伤细胞和T细胞的NKG2D受体激活,引发先天免疫反应,从而能够轻松清除表达该蛋白的肿瘤细胞和其他细胞。使用了几种生物信息学和免疫信息学工具来分析MIC - A蛋白的序列和结构。这些工具用于构建和评估MIC - A的建模结构,并预测该蛋白上的几个抗原决定位点。生成的MIC - A蛋白结构的平均抗原倾向为1.0289。此外,还揭示了MIC - A蛋白表面可附着抗体的亲水区。总共预测了14个抗原表位,其中6个位于跨膜蛋白拓扑结构中,预计在开发疫苗中发挥作用,这些疫苗可重新激活癌细胞表面MIC - A蛋白的功能,以引发所需的免疫反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c503/5874642/fe24ba06f130/vaccines-06-00001-g001.jpg

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