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首页> 外文期刊>Proteomics >Improving Protein Detection Confidence Using SWATH‐Mass Spectrometry with Large Peptide Reference Libraries
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Improving Protein Detection Confidence Using SWATH‐Mass Spectrometry with Large Peptide Reference Libraries

机译:用大肽参考文库使用Swath-Match-Matchoftry改善蛋白质检测置信度

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Abstract Protein quantification using data‐independent acquisition methods such as SWATH‐MS most commonly relies on spectral matching to a reference MS/MS assay library. To enable deep proteome coverage and efficient use of existing data, in silico approaches have been described to use archived or publicly available large reference spectral libraries for spectral matching. Since implicit in the use of larger libraries is the increasing likelihood of false‐discoveries, new workflows are needed to ensure high confidence in protein matching under these conditions. We present a workflow which introduces a range of filters and thresholds aimed at increasing confidence that the resulting proteins are reliably detected and their quantitation is consistent and reproducible. We demonstrated the workflow using extended libraries with SWATH data from human plasma samples and yeast‐spiked human K562 cell lysate digest.
机译:摘要使用数据无关采集方法的蛋白质量化,例如SWATH-MS最常依赖于与参考MS / MS测定库的光谱匹配。 为了实现深度蛋白质组覆盖和有效使用现有数据,已经描述了使用存档或公开可用的大参考光谱库进行频谱匹配。 由于在使用较大图书馆中隐含的是虚假发现的可能性越来越大,因此需要新的工作流量来确保在这些条件下对蛋白质匹配的高度信心。 我们介绍了一种工作流程,该工作流程引入了一系列滤波器和阈值,旨在增加所得蛋白质可靠地检测所得蛋白质,并且它们的定量是一致的并且可再现的。 我们用来自人血浆样品的扩展库和酵母掺入人K562细胞裂解物消化,使用扩展文库展示了工作流程。

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