Griffin Timothy J, Xie Hongwei, Bandhakavi Sricharan, Popko Jonathan, Mohan Archana, Carlis John V, Higgins LeeAnn
Department of Biochemistry, Molecular Biology, and Biophysics, Center for Mass Spectrometry and Proteomics, University of Minnesota, Minneapolis, Minnesota 55455, USA.
J Proteome Res. 2007 Nov;6(11):4200-9. doi: 10.1021/pr070291b. Epub 2007 Sep 29.
For proteomic analysis using tandem mass spectrometry, linear ion trap instruments provide unsurpassed sensitivity but unreliably detect low mass peptide fragments, precluding their use with iTRAQ reagent-labeled samples. Although the popular LTQ linear ion trap supports analyzing iTRAQ reagent-labeled peptides via pulsed Q dissociation, PQD, its effectiveness remains questionable. Using a standard mixture, we found careful tuning of relative collision energy necessary for fragmenting iTRAQ reagent-labeled peptides, and increasing microscan acquisition and repeat count improves quantification but identifies somewhat fewer peptides. We developed software to calculate abundance ratios via summing reporter ion intensities across spectra matching to each protein, thereby providing maximized accuracy. Testing found that results closely corresponded between analysis using optimized LTQ-PQD settings plus our software and using a Qstar instrument. Thus, we demonstrate the effectiveness of LTQ-PQD analyzing iTRAQ reagent-labeled peptides, and provide guidelines for successful quantitative proteomic studies.
对于使用串联质谱的蛋白质组学分析,线性离子阱仪器具有无与伦比的灵敏度,但在检测低质量肽片段时不可靠,这使得它们无法用于iTRAQ试剂标记的样品。尽管流行的LTQ线性离子阱支持通过脉冲Q解离(PQD)分析iTRAQ试剂标记的肽,但其有效性仍值得怀疑。使用标准混合物,我们发现仔细调整iTRAQ试剂标记肽片段化所需的相对碰撞能量,增加微扫描采集和重复计数可提高定量,但鉴定出的肽略少。我们开发了软件,通过对与每种蛋白质匹配的光谱中的报告离子强度求和来计算丰度比,从而提供最大的准确性。测试发现,使用优化的LTQ-PQD设置加我们的软件进行分析与使用Qstar仪器进行分析的结果非常吻合。因此,我们证明了LTQ-PQD分析iTRAQ试剂标记肽的有效性,并为成功的定量蛋白质组学研究提供了指导。