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首页> 外文期刊>Journal of proteomics >Quantitative accuracy in mass spectrometry based proteomics of complex samples: The impact of labeling and precursor interference
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Quantitative accuracy in mass spectrometry based proteomics of complex samples: The impact of labeling and precursor interference

机译:基于质谱的复杂样品蛋白质组学的定量精度:标记和前体干扰的影响

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Knowing the limit of quantification is important to accurately judge the results from proteomics studies. In order to investigate isobaric labels in combination with peptide pre-fractionation by high resolution isoelectric focusing in terms of limit of detection, quantitative accuracy and how to improve it, we used a human cell lysate spiked with 57 protein standards providing reference points across a wide concentration range. Specifically, the impact of precursor mixing (isolation interference and reporter ion interference) on quantitative accuracy was investigated by co-analyzing iTRAQ (8-plex) and TMT (6-plex) labeled peptides. A label-free analysis was also performed. Peptides, labeled or label-free, were analyzed by LC-MS/MS (Orbitrap Velos). We identified 3386 proteins by the label-free approach, 4466 with iTRAQ and 5961 with TMT. A linear range of quantification down to 1. fmol was indicated for both isobaric and label-free analysis workflows, with an upper limit exceeding 60. fmol. Our results indicate that 6-plex TMT is more sensitive than 8-plex iTRAQ. For isobaric labels, quantitative accuracy was affected by precursor mixing. Based on our evaluation on precursor mixing and accuracy of isobaric label quantification, we propose a cut off of < 30% isolation interference for peptide spectrum matches (PSMs) used in the quantification. Biological significance: Quantitative proteome analysis by mass spectrometry offers opportunities for biological research. However, knowing the limit of quantification in biological samples is important to accurately judge the results. By using a high-complexity sample spiked with protein standards of known concentrations, we investigated the quantification limits of label-free and label-based peptide quantification, including an evaluation of precursor mixing and its impact on quantification accuracy by isobaric labels. We suggest limits of allowed precursor interference and believe that this study contributes with information useful in proteome quantification by mass spectrometry.
机译:知道定量极限对于准确判断蛋白质组学研究的结果很重要。为了研究等压标记与通过高分辨率等电聚焦进行的肽预分离相结合的检测限,定量准确度以及如何改进等压标记,我们使用掺有57种蛋白质标准品的人类细胞裂解液,提供了广泛的参考点浓度范围。具体而言,通过共同分析iTRAQ(8-plex)和TMT(6-plex)标记的肽,研究了前体混合(分离干扰和报告离子干扰)对定量准确性的影响。还进行了无标记分析。通过LC-MS / MS(Orbitrap Velos)分析标记或无标记的肽。我们通过无标记方法鉴定了3386种蛋白质,其中iTRAQ为4466,TMT为5961。等压和无标记分析工作流程均显示线性定量范围低至1. fmol,上限超过60 fmol。我们的结果表明6重TMT比8重iTRAQ更敏感。对于等压标签,定量精度受前驱物混合的影响。基于我们对前体混合和同量异位标记定量准确性的评估,我们提出了定量中使用的肽谱匹配(PSM)的分离干扰<30%的临界值。生物学意义:质谱定量蛋白质组分析为生物学研究提供了机会。但是,了解生物样品中的定量限对准确判断结果很重要。通过使用掺有已知浓度蛋白质标准品的高复杂度样品,我们研究了无标记和基于标记的肽定量的定量限,包括评估前体混合及其对同量异位标记对定量准确性的影响。我们建议允许的前体干扰的限制,并相信这项研究有助于通过质谱对蛋白质组定量有用的信息。

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