Lai Xianyin, Wang Lianshui, Witzmann Frank A
Department of Cellular & Integrative Physiology, Biotechnology Research & Training Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Int J Proteomics. 2013;2013:756039. doi: 10.1155/2013/756039. Epub 2013 Jan 16.
To address the challenges associated with differential expression proteomics, label-free mass spectrometric protein quantification methods have been developed as alternatives to array-based, gel-based, and stable isotope tag or label-based approaches. In this paper, we focus on the issues associated with label-free methods that rely on quantitation based on peptide ion peak area measurement. These issues include chromatographic alignment, peptide qualification for quantitation, and normalization. In addressing these issues, we present various approaches, assembled in a recently developed label-free quantitative mass spectrometry platform, that overcome these difficulties and enable comprehensive, accurate, and reproducible protein quantitation in highly complex protein mixtures from experiments with many sample groups. As examples of the utility of this approach, we present a variety of cases where the platform was applied successfully to assess differential protein expression or abundance in body fluids, in vitro nanotoxicology models, tissue proteomics in genetic knock-in mice, and cell membrane proteomics.
为应对差异表达蛋白质组学相关的挑战,已开发出无标记质谱蛋白质定量方法,作为基于阵列、基于凝胶以及基于稳定同位素标签或标记方法的替代方法。在本文中,我们重点关注与基于肽离子峰面积测量进行定量的无标记方法相关的问题。这些问题包括色谱校准、用于定量的肽鉴定以及归一化。在解决这些问题时,我们展示了多种方法,这些方法整合在最近开发的无标记定量质谱平台中,克服了这些困难,并能够在来自多个样本组实验的高度复杂蛋白质混合物中进行全面、准确且可重复的蛋白质定量。作为该方法实用性的示例,我们展示了多种情况,即该平台成功应用于评估体液、体外纳米毒理学模型、基因敲入小鼠的组织蛋白质组学以及细胞膜蛋白质组学中的差异蛋白质表达或丰度。