Penn State Cancer Institute, Penn State College of Medicine, Hershey, PA, 17033, USA.
Department of Medicine, Penn State College of Medicine, Hershey, PA, 17033, USA.
Proteomics. 2019 Feb;19(3):e1800135. doi: 10.1002/pmic.201800135. Epub 2019 Jan 18.
The current state of proteomics requires a choice between targeted and global discovery methods. A method, that combines targeted and data-independent acquisition for absolute quantification of all identified plasma proteins, in a single sequential window acquisition of all theoretical fragment ions (SWATH) acquisition run, using a panel of spike-in standards (SIS), is established and optimized. The absolute quantification (AQ) of SWATH and multiple-reaction monitoring-high resolution (MRM-HR) acquisition methods are compared using the 100 protein PlasmaDive SIS panel spiked into non-depleted human plasma. SWATH provides equivalent quantification and differentially abundant protein profiles as MRM-HR. Absolute quantities of the SIS peptides from the SWATH data are used to estimate the absolute quantities (eAQ) for all the proteins in the run. The eAQ values provide similar quantification and differentially abundant protein profiles as AQ and protein area (PA) values. As a proof-of-concept, the eAQ method is applied to 12 plasma samples from six non-small cell lung cancer (NSCLC) patients and the performance of eAQ values versus peak area quantification is evaluated. There is a strong correlation between AQ and peak area ratios producing significant overlap of differentially abundant proteins. This eAQ method can provide quantitative data equivalent to AQ or peak area values.
蛋白质组学的现状需要在靶向和全局发现方法之间做出选择。本研究建立并优化了一种方法,该方法将靶向和数据非依赖性采集相结合,用于在单个顺序窗口采集所有理论碎片离子 (SWATH) 采集运行中对所有鉴定的血浆蛋白进行绝对定量,同时使用了一组掺入标准品 (SIS)。使用掺入非耗竭人血浆的 100 种蛋白质 PlasmaDive SIS 面板对 SWATH 和多重反应监测-高分辨率 (MRM-HR) 采集方法进行绝对定量 (AQ) 比较。SWATH 提供与 MRM-HR 相当的定量和差异丰度蛋白图谱。SWATH 数据中 SIS 肽的绝对数量用于估计运行中所有蛋白质的绝对数量 (eAQ)。eAQ 值提供与 AQ 和蛋白区域 (PA) 值相似的定量和差异丰度蛋白图谱。作为概念验证,该 eAQ 方法应用于来自 6 名非小细胞肺癌 (NSCLC) 患者的 12 个血浆样本,并评估了 eAQ 值与峰面积定量的性能。AQ 和峰面积比值之间存在很强的相关性,产生了显著重叠的差异丰度蛋白。这种 eAQ 方法可以提供与 AQ 或峰面积值相当的定量数据。