Laboratory for Macromolecular Biophysics - LBM, Department of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Interunit Postgraduate Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Adv Exp Med Biol. 2024;1443:33-61. doi: 10.1007/978-3-031-50624-6_3.
Mass spectrometry (MS) is a powerful analytical technique that plays a central role in modern protein analysis and the study of proteostasis. In the field of advanced molecular technologies, MS-based proteomics has become a cornerstone that is making a significant impact in the post-genomic era and as precision medicine moves from the research laboratory to clinical practice. The global dissemination of COVID-19 has spurred collective efforts to develop effective diagnostics, vaccines, and therapeutic interventions. This chapter highlights how MS seamlessly integrates with established methods such as RT-PCR and ELISA to improve viral identification and disease progression assessment. In particular, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) takes the center stage, unraveling intricate details of SARS-CoV-2 proteins, revealing modifications such as glycosylation, and providing insights critical to formulating therapies and assessing prognosis. However, high-throughput analysis of MALDI data presents challenges in manual interpretation, which has driven the development of programmatic pipelines and specialized packages such as MALDIquant. As we move forward, it becomes clear that integrating proteomic data with various omic findings is an effective strategy to gain a comprehensive understanding of the intricate biology of COVID-19 and ultimately develop targeted therapeutic paradigms.
质谱(MS)是一种强大的分析技术,在现代蛋白质分析和蛋白质稳态研究中发挥着核心作用。在先进分子技术领域,基于 MS 的蛋白质组学已成为基石,在后基因组时代,随着精准医学从研究实验室走向临床实践,它正产生重大影响。全球 COVID-19 的传播促使人们共同努力开发有效的诊断、疫苗和治疗干预措施。本章重点介绍了 MS 如何与 RT-PCR 和 ELISA 等既定方法无缝集成,以改善病毒鉴定和疾病进展评估。特别是基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)占据中心地位,揭示了 SARS-CoV-2 蛋白的复杂细节,揭示了糖基化等修饰,并为制定治疗方案和评估预后提供了关键见解。然而,MALDI 数据的高通量分析在手动解释方面带来了挑战,这推动了编程管道和专门软件包(如 MALDIquant)的开发。随着我们的前进,很明显,将蛋白质组学数据与各种组学发现相结合是一种有效的策略,可以全面了解 COVID-19 的复杂生物学,并最终开发出有针对性的治疗范例。