ThermoFisher Scientific, San Jose, California 95134, USA.
Mol Cell Proteomics. 2011 Feb;10(2):M110.002931. doi: 10.1074/mcp.M110.002931. Epub 2010 Jul 27.
Proteomics is gradually complementing large shotgun qualitative studies with hypothesis-driven quantitative experiments. Targeted analyses performed on triple quadrupole instruments in selected reaction monitoring mode are characterized by a high degree of selectivity and low limit of detection; however, the concurrent analysis of multiple analytes occurs at the expense of sensitivity because of reduced dwell time and/or selectivity due to limitation to a few transitions. A new data acquisition paradigm is presented in which selected reaction monitoring is performed in two ways to simultaneously quantify and confirm the identity of the targeted peptides. A first set of primary transitions is continuously monitored during a predetermined elution time window to precisely quantify each peptide. In addition, a set of six to eight transitions is acquired in a data-dependent event, triggered when all the primary transitions exceed a preset threshold. These additional transitions are used to generate composite tandem mass spectra to formally confirm the identity of the targeted peptides. This technique was applied to analyze the tryptic digest of a yeast lysate to demonstrate the performance of the technique. We showed a limit of detection down to tens of attomoles injected and a throughput exceeding 6000 transitions in one 60-min experiment. The technique was integrated into a linear work flow, including experimental design, data acquisition, and data evaluation, enabling large scale proteomic studies.
蛋白质组学正逐渐以假设驱动的定量实验来补充大型鸟枪法定性研究。在三重四极杆仪器上以选择反应监测模式进行的靶向分析具有高度选择性和低检测限;然而,由于 dwell time 减少和/或由于限制在少数转变而导致的选择性降低,同时分析多个分析物会以牺牲灵敏度为代价。提出了一种新的数据采集范例,其中以两种方式进行选择反应监测,以同时定量和确认靶向肽的身份。在预定的洗脱时间窗口中连续监测第一组主要转变,以精确地定量每个肽。此外,在数据依赖事件中获取六到八个转变集,当所有主要转变超过预设阈值时触发该事件。这些额外的转变用于生成复合串联质谱,以正式确认靶向肽的身份。该技术应用于分析酵母裂解物的胰蛋白酶消化物,以证明该技术的性能。我们展示了低至数十飞摩尔的检测限和在一个 60 分钟实验中超过 6000 次转变的通量。该技术集成到线性工作流程中,包括实验设计、数据采集和数据评估,从而实现大规模蛋白质组学研究。