用配体破译人类癌症MHC免疫肽。MHC地图集。

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Zhi Ran, Meilin Mu, Shaofeng Lin, Tao Wang, Jing Zeng, Lan Kuang, Kunqi Chen, Shengbao Suo, Kai Yuan, Haodong Xu
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引用次数: 0

摘要

免疫治疗的一个基本原理是T细胞能够检测癌细胞表面呈现的肿瘤表位。由液相色谱-串联质谱技术支持的免疫肽组学策略已经改变了肿瘤表位的鉴定,并为肿瘤免疫学提供了新的见解。它能够深入分析主要组织相容性复合体(MHC)所呈现的配体,从而为肿瘤和T细胞之间的分子对话提供有价值的观点。在这里,我们从大规模免疫肽组学数据中开发了免疫配体鉴定和分析管道。通过广泛收集和处理5821份免疫肽组学样本,共计3.057亿个MS2光谱,从这些样本中鉴定出24 380 595个肽谱匹配,并进一步检测出1 017 731个独特的MHC免疫配体。这些配体被反卷积并分类为特定的HLA等位基因。我们一共检测到582 852个HLA- i肽和434 879个HLA- ii肽可以结合292个HLA等位基因,从而极大地扩展了癌症免疫肽区。此外,我们鉴定并注释了372 720个肿瘤相关的翻译后修饰(PTM)肽,揭示了PTM抗原的全面图景。所有配体和注释被聚合成配体。MHC Atlas是一个全面的存储库,专门用于26种主要人类癌症(54种亚型)的肿瘤源性hla呈递配体。总的来说,我们的研究独特地集成了批效应校正,利用优化的软件和新的反褶积方法进行免疫肽组学分析和配体鉴定,并提供了一个具有全面HLA配体库的公共门户网站。配体。MHC图谱作为一种宝贵的资源,为免疫学研究提供了至关重要的理解。它将加速癌症疫苗和免疫疗法的发展。配体。MHC图谱可在http://modinfor.com/Ligand.MHC-Atlas/上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deciphering the MHC immunopeptidome of human cancers with Ligand.MHC atlas.

A fundamental principle of immunotherapy is that T cells are capable of detecting tumor epitopes presented on cancer cell surfaces. Immunopeptidomic strategies empowered by liquid chromatography-tandem mass spectrometry have transformed tumor epitopes identification and provided novel insights into tumor immunology. It enables in-depth profiling of major histocompatibility complex (MHC) presented ligands, thereby offering valuable perspectives on the molecular dialog among tumor and T cells. Here, we developed an immune-ligand identification and analysis pipeline from large-scale immunopeptidomics data. Through an extensive collection and processing of 5821 immunopeptidomic samples, which amounted to 305.7 million MS2 spectra, we identified 24 380 595 peptide-spectrum matches from these samples and further detected a total of 1 017 731 unique MHC immune ligands. These ligands were deconvolved and classified to specific HLA alleles. In total, we detected 582 852 HLA-I peptides and 434 879 HLA-II peptides that can bind to 292 HLA alleles, thereby greatly expanding the cancer immunopeptidome. Additionally, we identified and annotated 372 720 tumor-associated post-translational modification (PTM) peptides, revealing the comprehensive landscape of PTM antigens. All ligands and annotations were aggregated into Ligand.MHC Atlas, a comprehensive repository dedicated to tumor-derived HLA-presented ligands across 26 major human cancers (54 subtypes). Overall, our study uniquely integrates batch-effect correction, leverages the optimized software with novel deconvolution approach for immunopeptidomics analysis and ligand identification, and provides a public web portal with a comprehensive HLA ligand repository. Ligand.MHC Atlas functions as an invaluable resource, offering crucial understandings into immunology investigations. It will accelerate the advancement of cancer vaccines and immunotherapies. Ligand.MHC Atlas is available at http://modinfor.com/Ligand.MHC-Atlas/.

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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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