Eyers Claire E, Simpson Deborah M, Wong Stephen C C, Beynon Robert J, Gaskell Simon J
Michael Barber Centre for Mass Spectrometry, Manchester Interdisciplinary Biocentre, School of Chemistry, University of Manchester, Manchester, United Kingdom.
J Am Soc Mass Spectrom. 2008 Sep;19(9):1275-80. doi: 10.1016/j.jasms.2008.05.019. Epub 2008 Jul 2.
If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics.
如果要整理、共享和合并蛋白质组数据集以进行更高级别的蛋白质组分析,那么就需要有被广泛接受的策略和试剂来优化和标准化仪器性能。目前,还没有单一的蛋白质或肽标准集能够以这种方式评估肽分离和分析的仪器性能。为了创建这样一个标准,我们使用了最近描述的QconCAT方法来生成一种人工蛋白质QCAL。这种蛋白质是在大肠杆菌中表达的胰蛋白酶肽的串联体,它提供了一种化学计量可控的肽混合物,适用于所有常用的蛋白质组学仪器平台进行分析。