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利用等压标记(BASIL)策略进行小细胞群体的全面定量磷酸化蛋白质组学分析。

Boosting to Amplify Signal with Isobaric Labeling (BASIL) Strategy for Comprehensive Quantitative Phosphoproteomic Characterization of Small Populations of Cells.

机构信息

Section of Islet Cell Biology and Regenerative Medicine , Joslin Diabetes Center and Harvard Medical School , Boston , Massachusetts 02215 , United States.

Department of Pathology, Immunology, and Laboratory Medicine , University of Florida , Gainesville , Florida 32611 , United States.

出版信息

Anal Chem. 2019 May 7;91(9):5794-5801. doi: 10.1021/acs.analchem.9b00024. Epub 2019 Mar 15.

Abstract

Comprehensive phosphoproteomic analysis of small populations of cells remains a daunting task due primarily to the insufficient MS signal intensity from low concentrations of enriched phosphopeptides. Isobaric labeling has a unique multiplexing feature where the "total" peptide signal from all channels (or samples) triggers MS/MS fragmentation for peptide identification, while the reporter ions provide quantitative information. In light of this feature, we tested the concept of using a "boosting" sample (e.g., a biological sample mimicking the study samples but available in a much larger quantity) in multiplexed analysis to enable sensitive and comprehensive quantitative phosphoproteomic measurements with <100 000 cells. This simple boosting to amplify signal with isobaric labeling (BASIL) strategy increased the overall number of quantifiable phosphorylation sites more than 4-fold. Good reproducibility in quantification was demonstrated with a median CV of 15.3% and Pearson correlation coefficient of 0.95 from biological replicates. A proof-of-concept experiment demonstrated the ability of BASIL to distinguish acute myeloid leukemia cells based on the phosphoproteome data. Moreover, in a pilot application, this strategy enabled quantitative analysis of over 20 000 phosphorylation sites from human pancreatic islets treated with interleukin-1β and interferon-γ. Together, this signal boosting strategy provides an attractive solution for comprehensive and quantitative phosphoproteome profiling of relatively small populations of cells where traditional phosphoproteomic workflows lack sufficient sensitivity.

摘要

由于从富集的磷酸肽中低浓度获得的 MS 信号强度不足,全面的细胞小群体磷酸蛋白质组分析仍然是一项艰巨的任务。同重标记具有独特的多重分析特点,其中所有通道(或样品)的“总”肽信号触发 MS/MS 肽鉴定片段化,而报告离子则提供定量信息。有鉴于此,我们测试了在多重分析中使用“增强”样品(例如,模拟研究样品但数量大得多的生物样品)的概念,以便能够用 <100000 个细胞进行灵敏和全面的定量磷酸蛋白质组测量。这种使用同重标记进行信号放大的简单增强(BASIL)策略使可定量磷酸化位点的总数增加了 4 倍以上。通过生物学重复的中位数 CV 为 15.3%和 Pearson 相关系数为 0.95,证明了定量的良好重现性。一个概念验证实验证明了 BASIL 基于磷酸蛋白质组数据区分急性髓性白血病细胞的能力。此外,在一个初步应用中,该策略使来自用白细胞介素-1β和干扰素-γ处理的人胰岛的超过 20000 个磷酸化位点的定量分析成为可能。总之,这种信号增强策略为相对较小细胞群体的全面和定量磷酸蛋白质组分析提供了一种有吸引力的解决方案,在这种情况下,传统的磷酸蛋白质组学工作流程缺乏足够的灵敏度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3d/6596310/ad315716506b/nihms-1035412-f0002.jpg

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