使用Ligand破译人类癌症的MHC免疫组.MHC地图
Zhi Ran1,2,3, Meilin Mu4,5,6, Shaofeng Lin7
1Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Briefings in bioinformatics
|July 9, 2025
概括
我们开发了一种新的管道,从大规模的免疫瘤学数据中识别瘤特异性免疫连接物,创建一个全面的地图,以推进癌症疫苗和免疫疗法.
科学领域:
- 免疫学 免疫学 免疫学
- 蛋白质组学是指蛋白质组学.
- 生物信息学是一种生物信息学.
背景情况:
- T细胞识别癌细胞上的瘤表位,对于免疫疗法至关重要.
- 免疫瘤学和质谱学识别瘤表位,并提供瘤免疫学的见解.
- 主要基因相容性复合体 (MHC) 连接体的剖析揭示了瘤和T细胞之间的分子相互作用.
研究的目的:
- 开发一个免疫连接体识别和分析管道,用于大规模的免疫组学数据.
- 创建一个全面的存储库的瘤衍生HLA呈现的连接体.
- 加速癌症疫苗和免疫疗法的发展.
主要方法:
- 收集和处理了5821个免疫型样本,分析了超过3057万个MS2光谱.
- 采用了优化的软件,采用了新的解卷方法,用于免疫组学分析和连接体识别.
- 集成批量效应校正用于改进数据处理.
主要成果:
- 鉴定了24,380,595个谱匹配和1,017,731个独特的MHC免疫连接体.
- 检测到582,852个HLA-I和434,879个HLA-II与292个HLA等位基因结合,扩大了癌症免疫群.
- 鉴定并注释了372,720种与瘤相关的翻译后修饰 (PTM) .
结论:
- 开发的管道和Ligand.MHC Atlas存储库为瘤衍生HLA呈现的配体提供了一个全面的资源.
- 该资源为免疫学研究提供了关键的见解,并加速了癌症疫苗和免疫治疗的开发.
- 在http://modinfor.com/Ligand.MHC-Atlas/.上公开提供了Ligand.MHC Atlas.
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