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Use of a Label-Free Quantitative Platform Based on MS/MS Average TIC to Calculate Dynamics of Protein Complexes in Insulin Signaling

机译:使用基于MS / MS平均TIC的无标签定量平台计算胰岛素信号中蛋白质复合物的动力学

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摘要

A label-free quantification strategy including the development of in-house software (NakedQuant) to calculate the average TIC across all spectral counts in tandem affinity purification (TAP)-tagging liquid chromatography-mass spectrometry MS/MS (LC/MS/MS) experiments was applied to a large-scale study of protein complexes in the MAPK portion of the insulin signaling pathway from Drosophila cells. Dynamics were calculated under basal and stimulating conditions as fold changes. These experiments were performed in the context of a core service model with the user performing the TAP immunoprecipitation and the MS core performing the MS and informatics stops. The MS strategy showed excellent coverage of known components in addition to potentially novel interactions.
机译:一种无标记的定量策略,包括开发内部软件(NakedQuant)以计算串联亲和纯化(TAP)-标记液相色谱-质谱MS / MS(LC / MS / MS)中所有光谱计数的平均TIC实验应用于果蝇细胞胰岛素信号通路MAPK部分中蛋白质复合物的大规模研究。在基础条件和刺激条件下以倍数变化计算动力学。这些实验是在核心服务模型的上下文中执行的,用户执行TAP免疫沉淀,而MS核心执行MS和信息学停止。 MS策略除了潜在的新颖交互作用外,还显示出对已知组件的出色覆盖。

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