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结合底物类似物的胰岛素调节氨肽酶晶体结构为抗原表位前体识别与加工提供见解

Crystal Structure of Insulin-Regulated Aminopeptidase with Bound Substrate Analogue Provides Insight on Antigenic Epitope Precursor Recognition and Processing.

作者信息

Mpakali Anastasia, Saridakis Emmanuel, Harlos Karl, Zhao Yuguang, Papakyriakou Athanasios, Kokkala Paraskevi, Georgiadis Dimitris, Stratikos Efstratios

机构信息

National Center for Scientific Research Demokritos, Agia Paraskevi, Athens 15310, Greece;

Division of Structural Biology, Wellcome Trust Centre for Human Genetics, Oxford University, Oxford OX3 7BN, United Kingdom; and.

出版信息

J Immunol. 2015 Sep 15;195(6):2842-51. doi: 10.4049/jimmunol.1501103. Epub 2015 Aug 10.

DOI:10.4049/jimmunol.1501103
PMID:26259583
Abstract

Aminopeptidases that generate antigenic peptides influence immunodominance and adaptive cytotoxic immune responses. The mechanisms that allow these enzymes to efficiently process a vast number of different long peptide substrates are poorly understood. In this work, we report the structure of insulin-regulated aminopeptidase, an enzyme that prepares antigenic epitopes for cross-presentation in dendritic cells, in complex with an antigenic peptide precursor analog. Insulin-regulated aminopeptidase is found in a semiclosed conformation with an extended internal cavity with limited access to the solvent. The N-terminal moiety of the peptide is located at the active site, positioned optimally for catalysis, whereas the C-terminal moiety of the peptide is stabilized along the extended internal cavity lodged between domains II and IV. Hydrophobic interactions and shape complementarity enhance peptide affinity beyond the catalytic site and support a limited selectivity model for antigenic peptide selection that may underlie the generation of complex immunopeptidomes.

摘要

产生抗原肽的氨肽酶影响免疫显性和适应性细胞毒性免疫反应。这些酶能够有效处理大量不同长肽底物的机制尚不清楚。在这项研究中,我们报告了胰岛素调节氨肽酶(一种为树突状细胞中的交叉呈递准备抗原表位的酶)与抗原肽前体类似物复合物的结构。胰岛素调节氨肽酶呈半封闭构象,内部腔延伸,与溶剂的接触有限。肽的N端部分位于活性位点,处于最佳催化位置,而肽的C端部分沿着位于结构域II和IV之间的延伸内部腔稳定。疏水相互作用和形状互补性增强了肽在催化位点之外的亲和力,并支持一种有限选择性模型用于抗原肽选择,这可能是复杂免疫肽组产生的基础。

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