Cagney Gerard, Emili Andrew
Program in Proteomics and Bioinformatics, Banting and Best Department of Medical Research, University of Toronto, Toronto, ON, Canada.
Nat Biotechnol. 2002 Feb;20(2):163-70. doi: 10.1038/nbt0202-163.
Proteomic studies require efficient, robust, and practical methods of characterizing proteins present in biological samples. Here we describe an integrated strategy for systematic proteome analysis based on differential guanidination of C-terminal lysine residues on tryptic peptides followed by capillary liquid chromatography-electrospray tandem mass spectrometry. The approach, termed mass-coded abundance tagging (MCAT), facilitates the automated, large-scale, and comprehensive de novo determination of peptide sequence and relative quantitation of proteins in biological samples in a single analysis. MCAT offers marked advantages as compared with previously described methods and is simple, economic, and effective when applied to complex proteomic mixtures. MCAT is used to identify proteins, including polymorphic variants, from complex mixtures and measure variation in protein levels from diverse cell types.
蛋白质组学研究需要高效、可靠且实用的方法来表征生物样品中存在的蛋白质。在此,我们描述了一种基于胰蛋白酶肽段C末端赖氨酸残基的差异胍基化,随后进行毛细管液相色谱 - 电喷雾串联质谱分析的系统蛋白质组分析集成策略。该方法称为质量编码丰度标记(MCAT),有助于在单次分析中对生物样品中的肽序列进行自动化、大规模和全面的从头测定以及蛋白质的相对定量。与先前描述的方法相比,MCAT具有显著优势,并且应用于复杂蛋白质组混合物时简单、经济且有效。MCAT用于从复杂混合物中鉴定蛋白质,包括多态性变体,并测量不同细胞类型中蛋白质水平的变化。