Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.
Proteomics. 2010 Oct;10(19):3533-8. doi: 10.1002/pmic.201000189.
Pulsed Q dissociation enables combining LTQ ion trap instruments with isobaric peptide tagging. Unfortunately, this combination lacks a technique which accurately reports protein abundance ratios and is implemented in a freely available, flexible software pipeline. We developed and implemented a technique assigning collective reporter ion intensity-based weights to each peptide abundance ratio and calculating a protein's weighted average abundance ratio and p-value. Using an iTRAQ-labeled standard mixture, we compared our technique's performance to the commercial software MASCOT, finding that it performed better than MASCOT's nonweighted averaging and median peptide ratio techniques, and equal to its weighted averaging technique. We also compared performance of the LTQ-Orbitrap plus our technique to 4800 MALDI TOF/TOF plus Protein Pilot, by analyzing an iTRAQ-labeled stem cell lysate. We found highly correlated protein abundance ratios, indicating that the LTQ-Orbitrap plus our technique yields results comparable to the current standard. We implemented our technique in a freely available, automated software pipeline, called LTQ-iQuant, which is mzXML-compatible; supports iTRAQ 4-plex and 8-plex LTQ data; and can be modified for and have weights trained to a user's LTQ and other isobaric peptide tagging methods. LTQ-iQuant should make LTQ instruments and isobaric peptide tagging accessible to more proteomic researchers.
脉冲 Q 解离使 LTQ 离子阱仪器与等压肽标记相结合成为可能。不幸的是,这种组合缺乏一种能够准确报告蛋白质丰度比的技术,而且该技术是在一个免费、灵活的软件管道中实现的。我们开发并实现了一种技术,为每个肽丰度比分配基于集体报告离子强度的权重,并计算蛋白质的加权平均丰度比和 p 值。使用 iTRAQ 标记的标准混合物,我们将我们的技术与商业软件 Mascot 的性能进行了比较,发现它的性能优于 Mascot 的非加权平均和中位数肽比技术,与它的加权平均技术相当。我们还通过分析 iTRAQ 标记的干细胞裂解物,比较了 LTQ-Orbitrap 加我们的技术与 4800 MALDI TOF/TOF 加 Protein Pilot 的性能。我们发现高度相关的蛋白质丰度比,表明 LTQ-Orbitrap 加我们的技术产生的结果与当前的标准相当。我们在一个免费的、自动化的软件管道 LTQ-iQuant 中实现了我们的技术,该软件管道与 mzXML 兼容;支持 iTRAQ 4 重和 8 重 LTQ 数据;并且可以根据用户的 LTQ 和其他等压肽标记方法进行修改和权重训练。LTQ-iQuant 应该使 LTQ 仪器和等压肽标记更容易为更多的蛋白质组学研究人员所接受。