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一种将样本多路复用与靶向蛋白质组学分析相结合以进行高通量蛋白质特征表征的策略。

A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

作者信息

Erickson Brian K, Rose Christopher M, Braun Craig R, Erickson Alison R, Knott Jeffrey, McAlister Graeme C, Wühr Martin, Paulo Joao A, Everley Robert A, Gygi Steven P

机构信息

Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.

Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Mol Cell. 2017 Jan 19;65(2):361-370. doi: 10.1016/j.molcel.2016.12.005. Epub 2017 Jan 5.

Abstract

Targeted mass spectrometry assays for protein quantitation monitor peptide surrogates, which are easily multiplexed to target many peptides in a single assay. However, these assays have generally not taken advantage of sample multiplexing, which allows up to ten analyses to occur in parallel. We present a two-dimensional multiplexing workflow that utilizes synthetic peptides for each protein to prompt the simultaneous quantification of >100 peptides from up to ten mixed sample conditions. We demonstrate that targeted analysis of unfractionated lysates (2 hr) accurately reproduces the quantification of fractionated lysates (72 hr analysis) while obviating the need for peptide detection prior to quantification. We targeted 131 peptides corresponding to 69 proteins across all 60 National Cancer Institute cell lines in biological triplicate, analyzing 180 samples in only 48 hr (the equivalent of 16 min/sample). These data further elucidated a correlation between the expression of key proteins and their cellular response to drug treatment.

摘要

用于蛋白质定量的靶向质谱分析可监测肽替代物,这些替代物易于多重化,以便在一次分析中靶向多个肽段。然而,这些分析方法通常未利用样本多重化,样本多重化可使多达十次分析并行进行。我们提出了一种二维多重化工作流程,该流程利用针对每种蛋白质的合成肽,实现对来自多达十种混合样本条件下的100多个肽段的同时定量。我们证明,对未分级裂解物进行靶向分析(2小时)能准确重现对分级裂解物的定量分析(72小时分析),同时无需在定量前进行肽段检测。我们在生物学重复中针对所有60种美国国立癌症研究所细胞系中的69种蛋白质对应的131个肽段进行靶向分析,仅在48小时内就分析了180个样本(相当于每个样本16分钟)。这些数据进一步阐明了关键蛋白质的表达与其细胞对药物治疗反应之间的相关性。

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