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针对原代海马神经元低样本量应用优化的稳健、灵敏且自动化的磷酸肽富集方法。

Robust, Sensitive, and Automated Phosphopeptide Enrichment Optimized for Low Sample Amounts Applied to Primary Hippocampal Neurons.

作者信息

Post Harm, Penning Renske, Fitzpatrick Martin A, Garrigues Luc B, Wu W, MacGillavry Harold D, Hoogenraad Casper C, Heck Albert J R, Altelaar A F Maarten

机构信息

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University , Padualaan 8, 3584 CH Utrecht, The Netherlands.

Netherlands Proteomics Centre , Padualaan 8, 3584 CH Utrecht, The Netherlands.

出版信息

J Proteome Res. 2017 Feb 3;16(2):728-737. doi: 10.1021/acs.jproteome.6b00753. Epub 2016 Dec 6.

Abstract

Because of the low stoichiometry of protein phosphorylation, targeted enrichment prior to LC-MS/MS analysis is still essential. The trend in phosphoproteome analysis is shifting toward an increasing number of biological replicates per experiment, ideally starting from very low sample amounts, placing new demands on enrichment protocols to make them less labor-intensive, more sensitive, and less prone to variability. Here we assessed an automated enrichment protocol using Fe(III)-IMAC cartridges on an AssayMAP Bravo platform to meet these demands. The automated Fe(III)-IMAC-based enrichment workflow proved to be more effective when compared to a TiO-based enrichment using the same platform and a manual Ti(IV)-IMAC-based enrichment workflow. As initial samples, a dilution series of both human HeLa cell and primary rat hippocampal neuron lysates was used, going down to 0.1 μg of peptide starting material. The optimized workflow proved to be efficient, sensitive, and reproducible, identifying, localizing, and quantifying thousands of phosphosites from just micrograms of starting material. To further test the automated workflow in genuine biological applications, we monitored EGF-induced signaling in hippocampal neurons, starting with only 200 000 primary cells, resulting in ∼50 μg of protein material. This revealed a comprehensive phosphoproteome, showing regulation of multiple members of the MAPK pathway and reduced phosphorylation status of two glutamate receptors involved in synaptic plasticity.

摘要

由于蛋白质磷酸化的化学计量比很低,因此在液相色谱-串联质谱(LC-MS/MS)分析之前进行靶向富集仍然至关重要。磷酸化蛋白质组分析的趋势是每个实验增加生物重复的数量,理想情况下是从非常少量的样品开始,这对富集方案提出了新的要求,使其劳动强度更低、更灵敏且不易产生变异性。在这里,我们评估了一种在AssayMAP Bravo平台上使用铁(III)-固定金属亲和色谱(IMAC)柱的自动化富集方案,以满足这些要求。与在同一平台上使用基于二氧化钛(TiO)的富集方法以及手动基于钛(IV)-IMAC的富集工作流程相比,基于铁(III)-IMAC的自动化富集工作流程被证明更有效。作为初始样品,使用了人宫颈癌细胞系HeLa细胞和原代大鼠海马神经元裂解物的稀释系列,起始肽原料低至0.1μg。优化后的工作流程被证明是高效、灵敏且可重复的,仅从微克级的起始原料中就能鉴定、定位和定量数千个磷酸化位点。为了在真实的生物学应用中进一步测试自动化工作流程,我们监测了海马神经元中表皮生长因子(EGF)诱导的信号传导,起始细胞仅为200000个原代细胞,最终得到约50μg的蛋白质材料。这揭示了一个全面的磷酸化蛋白质组,显示了丝裂原活化蛋白激酶(MAPK)途径多个成员的调控以及参与突触可塑性的两个谷氨酸受体磷酸化状态的降低。

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