H. Lee Moffitt Cancer Center & Research Institute , Tampa, Florida 33612-9497, United States.
Cancer Biology Ph.D. Program, University of South Florida , Tampa, Florida 33620, United States.
J Proteome Res. 2018 Jan 5;17(1):63-75. doi: 10.1021/acs.jproteome.7b00329. Epub 2017 Nov 22.
Recent developments in instrumentation and bioinformatics have led to new quantitative mass spectrometry platforms including LC-MS/MS with data-independent acquisition (DIA) and targeted analysis using parallel reaction monitoring mass spectrometry (LC-PRM), which provide alternatives to well-established methods, such as LC-MS/MS with data-dependent acquisition (DDA) and targeted analysis using multiple reaction monitoring mass spectrometry (LC-MRM). These tools have been used to identify signaling perturbations in lung cancers and other malignancies, supporting the development of effective kinase inhibitors and, more recently, providing insights into therapeutic resistance mechanisms and drug repurposing opportunities. However, detection of kinases in biological matrices can be challenging; therefore, activity-based protein profiling enrichment of ATP-utilizing proteins was selected as a test case for exploring the limits of detection of low-abundance analytes in complex biological samples. To examine the impact of different MS acquisition platforms, quantification of kinase ATP uptake following kinase inhibitor treatment was analyzed by four different methods: LC-MS/MS with DDA and DIA, LC-MRM, and LC-PRM. For discovery data sets, DIA increased the number of identified kinases by 21% and reduced missingness when compared with DDA. In this context, MRM and PRM were most effective at identifying global kinome responses to inhibitor treatment, highlighting the value of a priori target identification and manual evaluation of quantitative proteomics data sets. We compare results for a selected set of desthiobiotinylated peptides from PRM, MRM, and DIA and identify considerations for selecting a quantification method and postprocessing steps that should be used for each data acquisition strategy.
近年来,仪器设备和生物信息学的发展催生了新的定量质谱平台,包括具有数据非依赖性采集(DIA)的 LC-MS/MS 和使用平行反应监测质谱(LC-PRM)的靶向分析,这些平台为已建立的方法提供了替代方案,例如具有数据依赖性采集(DDA)的 LC-MS/MS 和使用多重反应监测质谱(LC-MRM)的靶向分析。这些工具已被用于鉴定肺癌和其他恶性肿瘤中的信号转导扰动,支持有效激酶抑制剂的开发,最近还为治疗抵抗机制和药物再利用机会提供了深入了解。然而,在生物基质中检测激酶具有挑战性;因此,选择 ATP 利用蛋白的基于活性的蛋白谱富集作为探索复杂生物样本中低丰度分析物检测限的测试案例。为了研究不同 MS 采集平台的影响,通过四种不同方法分析了激酶抑制剂处理后激酶的 ATP 摄取量:DDA 和 DIA 的 LC-MS/MS、LC-MRM 和 LC-PRM。对于发现数据集,与 DDA 相比,DIA 将鉴定的激酶数量增加了 21%,并减少了缺失值。在这种情况下,MRM 和 PRM 最有效地识别了抑制剂处理对整个激酶组的反应,突出了预先确定靶标和手动评估定量蛋白质组学数据集的价值。我们比较了 PRM、MRM 和 DIA 从选定的一组去硫生物素化肽中获得的结果,并确定了为每种数据采集策略选择定量方法和后处理步骤时应考虑的因素。