首页> 外文期刊>Bioinformatics >Viruses selectively mutate their CD8+T-cell epitopes-a large-scale immunomic analysis
【24h】

Viruses selectively mutate their CD8+T-cell epitopes-a large-scale immunomic analysis

机译:病毒选择性突变其CD8 + T细胞表位-大规模免疫分析

获取原文
获取原文并翻译 | 示例
       

摘要

Motivation: Viruses employ various means to evade immune detection. One common evasion strategy is the removal of CD8+ cytotoxic T-lymphocyte epitopes. We here use a combination of multiple bioinformatic tools and large amount of genomic data to compute the epitope repertoire presented by over 1300 viruses in many HLA alleles. We de. ne the 'Size of Immune Repertoire score', which represents the ratio between the epitope density within a protein and the expected density. This score is used to study viral immune evasion.Results: We show that viral proteins in general have a higher epitope density than human proteins. This difference is due to a good fit of the human MHC molecules to the typical amino-acid usage of viruses. Among different viruses, viruses infecting humans present less epitopes than non-human viruses. This selection is not at the amino-acid usage level, but through the removal of specific epitopes. Within a single virus, not all proteins express the same epitopes density. Proteins expressed early in the viral life cycle have a lower epitope density than late proteins. Such a difference is not observed in non-human viruses. The removal of early epitopes and the targeting of the cellular immune response to late viral proteins, allow the virus a time interval to propagate before its host cells are destroyed by T cells.
机译:动机:病毒采用各种手段逃避免疫检测。一种常见的逃避策略是去除CD8 +细胞毒性T淋巴细胞表位。我们在这里使用多种生物信息学工具和大量基因组数据的组合来计算许多HLA等位基因中1300多种病毒呈现的表位库。我们走“免疫库大小分数”,它表示蛋白质内表位密度与预期密度之间的比率。该分数用于研究病毒的免疫逃逸。结果:我们显示,病毒蛋白一般具有比人蛋白更高的表位密度。这种差异是由于人类MHC分子很好地适合于病毒的典型氨基酸用途。在不同的病毒中,感染人类的​​病毒的表位少于非人类病毒。这种选择不是在氨基酸使用水平上,而是通过去除特定表位来进行。在单一病毒中,并非所有蛋白质都表达相同的表位密度。在病毒生命周期的早期表达的蛋白质的抗原决定簇密度低于晚期蛋白质。在非人类病毒中未观察到这种差异。早期抗原决定簇的去除和针对晚期病毒蛋白的细胞免疫反应的靶向,使病毒在其宿主细胞被T细胞破坏之前有一定的时间间隔传播。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号