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Large-scale determination of absolute phosphorylation stoichiometries in human cells by motif-targeting quantitative proteomics

机译:通过靶向定序的蛋白质组学大规模测定人类细胞中绝对磷酸化化学计量

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Our ability to model the dynamics of signal transduction networks will depend on accurate methods to quantify levels of protein phosphorylation on a global scale. Here we describe a motif-targeting quantitation method for phosphorylation stoichiometry typing. Proteome-wide phosphorylation stoichiometry can be obtained by a simple phosphoproteomic workflow integrating dephosphorylation and isotope tagging with enzymatic kinase reaction. Proof-of-concept experiments using CK2-, MAPK- and EGFR -targeting assays in lung cancer cells demonstrate the advantage of kinase-targeted complexity reduction, resulting in deeper phosphoproteome quantification. We measure the phosphorylation stoichiometry of >1,000 phosphorylation sites including 366 low-abundance tyrosine phosphorylation sites, with high reproducibility and using small sample sizes. Comparing drug-resistant and sensitive lung cancer cells, we reveal that post-translational phosphorylation changes are significantly more dramatic than those at the protein and messenger RNA levels, and suggest potential drug targets within the kinase–substrate network associated with acquired drug resistance.
机译:我们对信号转导网络动力学进行建模的能力将取决于在全球范围内量化蛋白质磷酸化水平的准确方法。在这里,我们描述了一种用于磷酸化化学计量分型的基序靶向定量方法。整个蛋白质组的磷酸化化学计量可以通过简单的磷酸蛋白质组学工作流程来完成,该流程将脱磷酸化和同位素标记与酶促激酶反应相结合。在肺癌细胞中使用CK2-,MAPK-和EGFR-靶向测定的概念验证实验证明了激酶靶向的复杂性降低的优势,从而使磷酸化蛋白质组学定量化更加深入。我们测量了> 1,000个磷酸化位点(包括366个低丰度酪氨酸磷酸化位点)的磷酸化化学计量,具有很高的重现性并且使用的样本量很小。比较耐药和敏感的肺癌细胞,我们发现翻译后磷酸化的变化远比蛋白质和信使RNA水平的变化更为显着,并暗示了与获得性耐药相关的激酶-底物网络内潜在的药物靶标。

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