Phosphorylation is the most important post-translational modification of proteins in many cells, including neurons. Phosphoproteomics is a relatively new technique for comprehensively identifying phosphorylation sites in the whole proteome of a given system. We applied this method to developmental neurobiology research to understand the signaling pathways that regulate the mammalian growth cone, which is formed at the tips of developing neurites to ensure accurate neuronal network formation. Using this powerful technique, we identified at least four phosphorylation sites tightly associated with axon growth. Because phosphoproteomic results include relatively large numbers of phosphopeptides, the data are typically analyzed using bioinformatics. We utilized three bioinformatics tools to identify the responsible protein kinases, the putative functions of the phosphorylated protein groups, and the evolutional aspects of the phosphorylated proteins. Collectively, these data indicate phosphoproteomics is a cutting-edge tool for neuroscience research.

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磷酸蛋白质组学和生物信息学方法，用于分析脊椎动物轴突生长和再生中的信号传导。

磷酸化是许多细胞（包括神经元）中蛋白质最重要的翻译后修饰。磷酸蛋白质组学是一种相对较新的技术，用于全面确定给定系统整个蛋白质组中的磷酸化位点。我们将此方法应用于发育神经生物学研究，以了解调节哺乳动物生长锥的信号通路，该信号锥是在形成神经突的尖端形成的，以确保准确的神经元网络形成。使用这项功能强大的技术，我们确定了至少四个与轴突生长紧密相关的磷酸化位点。由于磷酸化蛋白质组学结果包括相对大量的磷酸肽，因此通常使用生物信息学来分析数据。我们利用了三种生物信息学工具来识别负责的蛋白激酶，磷酸化蛋白基团的推定功能以及磷酸化蛋白的进化方面。总体而言，这些数据表明磷酸化蛋白质组学是神经科学研究的前沿工具。