Tu Chengjian, Li Jun, Sheng Quanhu, Zhang Ming, Qu Jun
Department of Pharmaceutical Sciences, University at Buffalo, State University of New York , Buffalo, NY 14260, United States.
J Proteome Res. 2014 Apr 4;13(4):2069-79. doi: 10.1021/pr401206m. Epub 2014 Mar 24.
Survey-scan-based label-free method have shown no compelling benefit over fragment ion (MS2)-based approaches when low-resolution mass spectrometry (MS) was used, the growing prevalence of high-resolution analyzers may have changed the game. This necessitates an updated, comparative investigation of these approaches for data acquired by high-resolution MS. Here, we compared survey scan-based (ion current, IC) and MS2-based abundance features including spectral-count (SpC) and MS2 total-ion-current (MS2-TIC), for quantitative analysis using various high-resolution LC/MS data sets. Key discoveries include: (i) study with seven different biological data sets revealed only IC achieved high reproducibility for lower-abundance proteins; (ii) evaluation with 5-replicate analyses of a yeast sample showed IC provided much higher quantitative precision and lower missing data; (iii) IC, SpC, and MS2-TIC all showed good quantitative linearity (R(2) > 0.99) over a >1000-fold concentration range; (iv) both MS2-TIC and IC showed good linear response to various protein loading amounts but not SpC; (v) quantification using a well-characterized CPTAC data set showed that IC exhibited markedly higher quantitative accuracy, higher sensitivity, and lower false-positives/false-negatives than both SpC and MS2-TIC. Therefore, IC achieved an overall superior performance than the MS2-based strategies in terms of reproducibility, missing data, quantitative dynamic range, quantitative accuracy, and biomarker discovery.
当使用低分辨率质谱(MS)时,基于扫描的无标记方法相较于基于碎片离子(MS2)的方法并未显示出明显优势,但高分辨率分析仪的日益普及可能改变了这种情况。这就需要对这些方法进行更新的比较研究,以分析高分辨率MS获取的数据。在此,我们比较了基于扫描(离子电流,IC)和基于MS2的丰度特征,包括光谱计数(SpC)和MS2总离子流(MS2-TIC),用于使用各种高分辨率LC/MS数据集进行定量分析。主要发现包括:(i)对七个不同生物数据集的研究表明,只有IC对低丰度蛋白质具有高重现性;(ii)对酵母样品进行5次重复分析的评估表明,IC提供了更高的定量精度和更低的缺失数据;(iii)IC、SpC和MS2-TIC在超过1000倍的浓度范围内均显示出良好的定量线性(R(2)>0.99);(iv)MS2-TIC和IC对各种蛋白质上样量均显示出良好的线性响应,但SpC则不然;(v)使用特征明确的CPTAC数据集进行定量分析表明,IC在定量准确性、灵敏度以及假阳性/假阴性方面均明显高于SpC和MS2-TIC。因此,在重现性、缺失数据、定量动态范围、定量准确性和生物标志物发现方面,IC的整体性能优于基于MS2的策略。