Improving Proteomic Identification Using Narrow Isolation Windows with Zeno SWATH Data-Independent Acquisition.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2024-07-09 DOI:10.1021/acs.jproteome.4c00149
Kongxin Gu, Haruka Kumabe, Takumi Yamamoto, Naoto Tashiro, Takeshi Masuda, Shingo Ito, Sumio Ohtsuki
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Abstract

Data-independent acquisition (DIA) techniques such as sequential window acquisition of all theoretical mass spectra (SWATH) acquisition have emerged as the preferred strategies for proteomic analyses. Our study optimized the SWATH-DIA method using a narrow isolation window placement approach, improving its proteomic performance. We optimized the acquisition parameter combinations of narrow isolation windows with different widths (1.9 and 2.9 Da) on a ZenoTOF 7600 (Sciex); the acquired data were analyzed using DIA-NN (version 1.8.1). Narrow SWATH (nSWATH) identified 5916 and 7719 protein groups on the digested peptides, corresponding to 400 ng of protein from mouse liver and HEK293T cells, respectively, improving identification by 7.52 and 4.99%, respectively, compared to conventional SWATH. The median coefficient of variation of the quantified values was less than 6%. We further analyzed 200 ng of benchmark samples comprising peptides from known ratios ofEscherichia coli, yeast, and human peptides using nSWATH. Consequently, it achieved accuracy and precision comparable to those of conventional SWATH, identifying an average of 95,456 precursors and 9342 protein groups across three benchmark samples, representing 12.6 and 9.63% improved identification compared to conventional SWATH. The nSWATH method improved identification at various loading amounts of benchmark samples, identifying 40.7% more protein groups at 25 ng. These results demonstrate the improved performance of nSWATH, contributing to the acquisition of deeper proteomic data from complex biological samples.

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利用 Zeno SWATH 数据独立采集技术的窄分离窗口改进蛋白质组鉴定。
与数据无关的采集(DIA)技术,如所有理论质谱的顺序窗口采集(SWATH),已成为蛋白质组分析的首选策略。我们的研究利用窄分离窗口放置方法优化了 SWATH-DIA 方法,提高了其蛋白质组学性能。我们在 ZenoTOF 7600(Sciex)上优化了不同宽度(1.9 和 2.9 Da)的窄分离窗的采集参数组合,并使用 DIA-NN(1.8.1 版)对采集的数据进行了分析。窄SWATH(nSWATH)在消化肽段上分别鉴定出5916和7719个蛋白质基团,分别对应400纳克小鼠肝脏和HEK293T细胞的蛋白质,与传统SWATH相比,鉴定率分别提高了7.52%和4.99%。量化值的中位变异系数小于 6%。我们使用 nSWATH 进一步分析了 200 ng 基准样品,其中包括已知比例的大肠杆菌、酵母和人类多肽。结果,它达到了与传统 SWATH 相当的准确度和精确度,在三个基准样品中平均鉴定出 95,456 个前体和 9342 个蛋白质组,与传统 SWATH 相比,鉴定率分别提高了 12.6% 和 9.63%。nSWATH 方法在基准样本的不同负载量下都提高了识别率,在 25 纳克负载量下识别出的蛋白质组增加了 40.7%。这些结果证明了 nSWATH 性能的提高,有助于从复杂的生物样本中获取更深入的蛋白质组数据。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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