磷酸蛋白质组学
计算生物学
质谱法
计算机科学
蛋白质组学
磷酸化
蛋白质组
化学
生物
生物信息学
细胞生物学
蛋白质磷酸化
色谱法
生物化学
蛋白激酶A
基因
作者
Robert Lawrence,Brian C. Searle,Ariadna Llovet,Judit Villén
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2016-03-28
卷期号:13 (5): 431-434
被引量:124
摘要
Systematic approaches to studying cellular signaling require phosphoproteomic techniques that reproducibly measure the same phosphopeptides across multiple replicates, conditions, and time points. Here we present a method to mine information from large-scale, heterogeneous phosphoproteomics data sets to rapidly generate robust targeted mass spectrometry (MS) assays. We demonstrate the performance of our method by interrogating the IGF-1/AKT signaling pathway, showing that even rarely observed phosphorylation events can be consistently detected and precisely quantified.
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