Lam Maggie P Y, Ping Peipei, Murphy Elizabeth
NIH BD2K Center of Excellence and Department of Physiology, Medicine and Bioinformatics, University of California, Los Angeles, California.
NIH BD2K Center of Excellence and Department of Physiology, Medicine and Bioinformatics, University of California, Los Angeles, California.
J Am Coll Cardiol. 2016 Dec 27;68(25):2819-2830. doi: 10.1016/j.jacc.2016.10.031.
Proteomics is a systems physiology discipline to address the large-scale characterization of protein species within a biological system, be it a cell, a tissue, a body biofluid, an organism, or a cohort population. Building on advances from chemical analytical platforms (e.g., mass spectrometry and other technologies), proteomics approaches have contributed powerful applications in cardiovascular biomedicine, most notably in: 1) the discovery of circulating protein biomarkers of heart diseases from plasma samples; and 2) the identification of disease mechanisms and potential therapeutic targets in cardiovascular tissues, in both preclinical models and translational studies. Contemporary proteomics investigations offer powerful means to simultaneously examine tens of thousands of proteins in various samples, and understand their molecular phenotypes in health and disease. This concise review introduces study design considerations, example applications and use cases, as well as interpretation and analysis of proteomics data in cardiovascular biomedicine.
蛋白质组学是一门系统生理学学科,旨在对生物系统(无论是细胞、组织、生物体液、生物体还是一群人)中的蛋白质种类进行大规模表征。基于化学分析平台(如质谱和其他技术)的进展,蛋白质组学方法在心血管生物医学中发挥了强大作用,最显著的体现在:1)从血浆样本中发现心脏病的循环蛋白生物标志物;2)在临床前模型和转化研究中,识别心血管组织中的疾病机制和潜在治疗靶点。当代蛋白质组学研究提供了强大手段,可同时检测各种样本中的数以万计的蛋白质,并了解它们在健康和疾病状态下的分子表型。本简要综述介绍了心血管生物医学中蛋白质组学数据的研究设计考量、示例应用和案例,以及解读与分析。