Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, U.S.A.
Buck Institute for Research on Aging, Novato, CA, U.S.A.
Biochem Soc Trans. 2020 Oct 30;48(5):1953-1966. doi: 10.1042/BST20191091.
Research into the basic biology of human health and disease, as well as translational human research and clinical applications, all benefit from the growing accessibility and versatility of mass spectrometry (MS)-based proteomics. Although once limited in throughput and sensitivity, proteomic studies have quickly grown in scope and scale over the last decade due to significant advances in instrumentation, computational approaches, and bio-sample preparation. Here, we review these latest developments in MS and highlight how these techniques are used to study the mechanisms, diagnosis, and treatment of human diseases. We first describe recent groundbreaking technological advancements for MS-based proteomics, including novel data acquisition techniques and protein quantification approaches. Next, we describe innovations that enable the unprecedented depth of coverage in protein signaling and spatiotemporal protein distributions, including studies of post-translational modifications, protein turnover, and single-cell proteomics. Finally, we explore new workflows to investigate protein complexes and structures, and we present new approaches for protein-protein interaction studies and intact protein or top-down MS. While these approaches are only recently incipient, we anticipate that their use in biomedical MS proteomics research will offer actionable discoveries for the improvement of human health.
对人类健康和疾病基础生物学的研究,以及转化人类研究和临床应用,都受益于基于质谱(MS)的蛋白质组学日益增强的可及性和多功能性。尽管曾经在通量和灵敏度方面受到限制,但由于仪器、计算方法和生物样本制备方面的重大进展,蛋白质组学研究在过去十年中迅速扩大了范围和规模。在这里,我们回顾了 MS 的最新进展,并强调了这些技术如何用于研究人类疾病的机制、诊断和治疗。我们首先描述了基于 MS 的蛋白质组学的最新突破性技术进步,包括新的数据采集技术和蛋白质定量方法。接下来,我们描述了能够实现蛋白质信号和时空蛋白质分布前所未有的深度覆盖的创新,包括对翻译后修饰、蛋白质周转和单细胞蛋白质组学的研究。最后,我们探讨了用于研究蛋白质复合物和结构的新工作流程,并介绍了用于蛋白质-蛋白质相互作用研究和完整蛋白质或自上而下 MS 的新方法。虽然这些方法最近才刚刚起步,但我们预计它们在生物医学 MS 蛋白质组学研究中的应用将为改善人类健康提供可行的发现。