Frese Christian K, Mikhaylova Marina, Stucchi Riccardo, Gautier Violette, Liu Qingyang, Mohammed Shabaz, Heck Albert J R, Altelaar A F Maarten, Hoogenraad Casper C
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 Utrecht, the Netherlands; Netherlands Proteomics Centre, Padualaan 8, 3584 Utrecht, the Netherlands.
Cell Biology, Department of Biology, Faculty of Science, Utrecht University, 3584 Utrecht, the Netherlands.
Cell Rep. 2017 Feb 7;18(6):1527-1542. doi: 10.1016/j.celrep.2017.01.025.
Neuronal differentiation is a multistep process that shapes and re-shapes neurons by progressing through several typical stages, including axon outgrowth, dendritogenesis, and synapse formation. To systematically profile proteome dynamics throughout neuronal differentiation, we took cultured rat hippocampal neurons at different developmental stages and monitored changes in protein abundance using a combination of stable isotope labeling and high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS). Almost one third of all 4,500 proteins quantified underwent a more than 2-fold expression change during neuronal differentiation, indicating extensive remodeling of the neuron proteome. To highlight the strength of our resource, we studied the neural-cell-adhesion molecule 1 (NCAM1) and found that it stimulates dendritic arbor development by promoting actin filament growth at the dendritic growth cone. We anticipate that our quantitative map of neuronal proteome dynamics is a rich resource for further analyses of the many identified proteins in various neurodevelopmental processes.
神经元分化是一个多步骤过程,通过经历几个典型阶段来塑造和重塑神经元,这些阶段包括轴突生长、树突形成和突触形成。为了系统地描绘神经元分化过程中的蛋白质组动态变化,我们选取了不同发育阶段的培养大鼠海马神经元,并结合稳定同位素标记和高分辨率液相色谱-串联质谱法(LC-MS/MS)监测蛋白质丰度的变化。在所有定量的4500种蛋白质中,近三分之一在神经元分化过程中表达变化超过2倍,这表明神经元蛋白质组发生了广泛的重塑。为了突出我们资源的优势,我们研究了神经细胞黏附分子1(NCAM1),发现它通过促进树突生长锥处肌动蛋白丝的生长来刺激树突分支发育。我们预计,我们的神经元蛋白质组动态定量图谱将为进一步分析各种神经发育过程中许多已鉴定的蛋白质提供丰富的资源。