Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
Methods Mol Biol. 2024;2758:445-455. doi: 10.1007/978-1-0716-3646-6_24.
Human cerebrospinal fluid (CSF) is a rich source for central nervous system (CNS)-related disease biomarker discovery due to its direct interchange with the extracellular fluid of the CNS. Though extensive proteome-level profiling has been conducted for CSF, studies targeting at its endogenous peptidome is still limited. It is more difficult to include the post-translational modifications (PTMs) characterization of the peptidome in the mass spectrometry (MS) analysis because of their low abundance and the challenge of data interpretation. In this chapter, we present a peptidomic workflow that combines molecular weight cut-off (MWCO) separation, electron-transfer and higher-energy collision dissociation (EThcD) fragmentation, and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides including both N-glycosylation and O-glycosylation and other common peptide PTMs. The method has been successfully adopted to analyze CSF samples from healthy donors, mild cognitive impairment (MCI), and Alzheimer's disease (AD) patients to provide a landscape of peptidome in different disease states.
人类脑脊液 (CSF) 是中枢神经系统 (CNS) 相关疾病生物标志物发现的丰富来源,因为它与 CNS 的细胞外液直接交换。尽管已经对 CSF 进行了广泛的蛋白质组水平分析,但针对其内源性肽组的研究仍然有限。由于其丰度低和数据解释的挑战,在质谱 (MS) 分析中包括肽组的翻译后修饰 (PTM) 特征更加困难。在本章中,我们提出了一种肽组学工作流程,该流程结合了分子量截止 (MWCO) 分离、电子转移和更高能量碰撞解离 (EThcD) 碎裂,以及三步数据库搜索策略,用于全面分析内源性肽的 PTM,包括 N-糖基化和 O-糖基化以及其他常见的肽 PTM。该方法已成功应用于分析来自健康供体、轻度认知障碍 (MCI) 和阿尔茨海默病 (AD) 患者的 CSF 样本,以提供不同疾病状态下肽组的全景图。