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新型隐球菌感染小鼠模型样本的蛋白质组学分析。

Proteomic Profiling of Samples Derived from a Murine Model Following Cryptococcus neoformans Infection.

机构信息

Molecular and Cellular Biology Department, University of Guelph, Guelph, ON, Canada.

Computational Biology Laboratory, CHU de Québec - Université Laval Research Center, QC, Canada.

出版信息

Methods Mol Biol. 2024;2775:127-137. doi: 10.1007/978-1-0716-3722-7_9.

Abstract

Proteomic profiling provides in-depth information about the regulation of diverse biological processes, activation of and communication across signaling networks, and alterations to protein production, modifications, and interactions. For infectious disease research, mass spectrometry-based proteomics enables detection of host defenses against infection and mechanisms used by the pathogen to evade such responses. In this chapter, we outline protein extraction from organs, tissues, and fluids collected following intranasal inoculation of a murine model with the human fungal pathogen Cryptococcus neoformans. We describe sample preparation, followed by purification, processing on the mass spectrometer, and a robust bioinformatics analysis. The information gleaned from proteomic profiling of fungal infections supports the detection of novel biomarkers for diagnostic and prognostic purposes.

摘要

蛋白质组学分析提供了关于多种生物过程调控、信号网络激活和通信以及蛋白质产生、修饰和相互作用改变的深入信息。对于传染病研究,基于质谱的蛋白质组学可以检测宿主对感染的防御机制,以及病原体逃避这种反应的机制。在本章中,我们概述了从鼻腔接种人类真菌病原体新型隐球菌的小鼠模型中收集的器官、组织和体液中蛋白质的提取方法。我们描述了样品制备,然后是纯化、质谱处理以及强大的生物信息学分析。从真菌感染的蛋白质组学分析中获得的信息支持了新型生物标志物的检测,用于诊断和预后目的。

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