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MSPLIT-DIA: sensitive peptide identification for data-independent acquisition.MSPLIT-DIA:用于数据非依赖采集的灵敏肽段鉴定
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Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files.DIA组:分析多个数据非依赖采集质谱数据文件。
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3
The Use of Variable Q1 Isolation Windows Improves Selectivity in LC-SWATH-MS Acquisition.使用可变Q1隔离窗口可提高液相色谱-同步全扫描质谱采集的选择性。
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Multiplexed peptide analysis using data-independent acquisition and Skyline.使用数据非依赖采集和Skyline进行多重肽分析。
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MS1 Peptide Ion Intensity Chromatograms in MS2 (SWATH) Data Independent Acquisitions. Improving Post Acquisition Analysis of Proteomic Experiments.MS2(SWATH)数据独立采集模式下的MS1肽离子强度色谱图。改进蛋白质组学实验的采集后分析。
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Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.利用数据非依赖采集扩展定量蛋白质组分析的极限并应用于对乙酰氨基酚处理的三维肝脏微组织
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Quantitative variability of 342 plasma proteins in a human twin population.人类双胞胎群体中342种血浆蛋白的定量变异性
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DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.DIA-Umpire:用于非数据依赖采集蛋白质组学的综合计算框架
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Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry.通过SWATH质谱法对酿酒酵母蛋白质组进行可重复且一致的定量分析。
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OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.OpenSWATH可对数据非依赖采集质谱数据进行自动化的靶向分析。
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使用 TripleTOF 质谱仪为无标记定量蛋白质组学研究生成高质量的 SWATH 采集数据。

Generation of High-Quality SWATH Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF Mass Spectrometers.

作者信息

Schilling Birgit, Gibson Bradford W, Hunter Christie L

机构信息

The Buck Institute for Research on Aging, 1201 Radio Road, Redwood City, 94065, CA, USA.

SCIEX, 500 Old Connecticut Path, Framingham, MA, 01701, USA.

出版信息

Methods Mol Biol. 2017;1550:223-233. doi: 10.1007/978-1-4939-6747-6_16.

DOI:10.1007/978-1-4939-6747-6_16
PMID:28188533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5669615/
Abstract

Data-independent acquisition is a powerful mass spectrometry technique that enables comprehensive MS and MS/MS analysis of all detectable species, providing an information rich data file that can be mined deeply. Here, we describe how to acquire high-quality SWATH Acquisition data to be used for large quantitative proteomic studies. We specifically focus on using variable sized Q1 windows for acquisition of MS/MS data for generating higher specificity quantitative data.

摘要

数据非依赖型采集是一种强大的质谱技术,能够对所有可检测物种进行全面的质谱和串联质谱分析,提供一个可深度挖掘的信息丰富的数据文件。在此,我们描述如何获取高质量的SWATH采集数据,用于大规模定量蛋白质组学研究。我们特别着重于使用可变大小的Q1窗口来采集串联质谱数据,以生成更高特异性的定量数据。