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Covalent Cross-Linking within Supramolecular Peptide Structures

机译:超分子肽结构内的共价交联

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beta-Sheet peptide nanostructures (e.g., amyloid fibrils) are recognized as important entities in biological systems and as functional materials in their own right. Their unique physical properties and architectural complexity, however, present a challenge for structure determination at atomic resolution. Covalent cross-linking and mass spectrometry are appealing methods for this endeavor because, potentially, a large amount of information can be extracted from a small sample in a single experiment. Previously, we described preliminary studies on the use of a photoreactive diazirine-containing amino acid to crosslink peptide monomers in nanostructures, together with the integrated separation and analysis of the products using ion mobility spectrometry coupled to conventional mass spectrometry. Here, a pH-switchable system (A(beta)_(16-22), a sequence from the amyloid-beta peptide) was used to examine cross-linking chemistry in morphologically distinct supramolecular structures containing, or entirely composed of, diazirine-functionalized peptides. We examine the relationship between cross-linker chemistry, covalent cross-links (identified using chemical derivatization and tandem mass spectrometry), and noncovalent structure, and report differences in the site of cross-linking that can only be explained by supramolecular templating. The results demonstrate the applicability of the approach for obtaining structural restraints in ordered supramolecular assemblies, provided that a considered evaluation of the cross-linked products is undertaken.
机译:β-Sheet肽纳米结构(例如淀粉样蛋白原纤维)被公认为生物系统中的重要实体,并被单独视为功能材料。但是,它们独特的物理特性和建筑复杂性给以原子分辨率确定结构带来了挑战。共价交联和质谱法是这项工作的吸引人的方法,因为潜在地,可以在单个实验中从少量样品中提取大量信息。以前,我们描述了使用光反应性的含重氮二嗪的氨基酸交联纳米结构中的肽单体的初步研究,以及使用离子迁移谱法和常规质谱法对产物进行的综合分离和分析。在此,使用pH可调系统(Aβ_(16-22),来自淀粉样β肽的序列)检查形态独特的超分子结构中的交联化学,该超分子结构包含或完全由重氮基-功能化的肽。我们研究了交联剂化学,共价交联(使用化学衍生化和串联质谱法鉴定)和非共价结构之间的关系,并报告了只能通过超分子模板解释的交联部位差异。结果证明了该方法在有序超分子组装中获得结构约束的方法的适用性,前提是对交联产物进行了认真的评估。

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