解开用HLA-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Glyco-Gl
Georges Bedran1,2, Daniel A Polasky2, Yi Hsiao3
1International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland.
Nature communications
|June 12, 2023
概括
我们开发了一种计算工作流程,用于分析糖基化MHC相关 (MAP),通过MHCII类分子揭示它们的主要呈现. 本文介绍了HLA-Glyco,这是一个用于糖免疫学研究的资源.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 生物化学 生物化学
背景情况:
- 针对性疗法正在引起人们的兴趣,主要是研究主要基因相容性复合体 (MHC) 相关的 (MAP) 与转化后修饰 (PTM) 相关的研究,特别是糖化.
- 了解这些改性的表现对于推进免疫疗法和药物开发至关重要.
研究的目的:
- 在基于质谱的免疫组数据中引入用于糖分析的快速计算工作流.
- 识别和描述糖基化MAP,特别是它们与MHCII类分子的关联.
- 建立一个全面的人类白细胞抗原 (HLA) 类II N-glycopeptides 的数据库.
主要方法:
- 开发了一个计算工作流程,将MSFragger-Glyco搜索算法与错误发现率控制集成在一起.
- 分析了八个大规模的,公开可用的免疫组数据集.
- 编译和策划数据以创建HLA-Glyco资源.
主要成果:
- 确定糖基化MAP主要由MHCII类呈现.
- 发现了截断的甘氨酸和保存的HLA结合核的高患病率.
- 在不同的HLA等位基组中观察到明显的糖化定位特异性.
- 建立了HLA-Glyco资源,包括来自1,049个蛋白质糖化位点的3,400多个人类白细胞抗原 (HLA) II类N-糖.
结论:
- 开发的工作流程和HLA-Glyco资源为新兴的糖免疫组学领域提供了必要的工具.
- 这些发现为糖的呈现提供了宝贵的见解,有助于向治疗的开发.
- 在FragPipe平台内的集成工作流和免费的网络资源促进了可访问性和进一步的研究.
相关概念视频
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