Omics approaches to study Receptor Tyrosine Kinase functional selectivity in complex environment

这个高度多学科的项目将促进创造性和好奇心驱动的方法，以解决如何通过整合尖端的基于质谱（MS）的磷酸蛋白质组学和结构蛋白质组学与生物信息学和功能测定来调节细胞稳态的信号特异性的基本问题。这将解决BBSRC的“理解生活规则”和“变革技术”的问题。用不同浓度的不同生长因子刺激后受体酪氨酸激酶信号传导的组学研究（Francavilla）将生成复杂的数据集，这些数据集将用先进的生物信息学（Schwartz）和结构生物学（Tabernero）工具进行分析，然后在各种基于细胞的测定中进行验证（Francavilla）。因此，该项目将探索系统生物学方法如何在与定义的生物学终点相结合时实现科学发现的进步。此外，还将提供定量蛋白质组学、结构生物学、生物信息学和核心研究学科（分子和细胞生物学）的培训，从而培养下一代蛋白质科学家。

This highly multidisciplinary project will promote a creative and curiosity-driven approach to address the fundamental question how signalling specificity underlying cell homeostasis is regulated by integrating cutting-edge mass spectrometry (MS)-based phosphoproteomics and structural proteomics with bioinformatics and functional assays. This will address BBSRC remits for 'understanding the rule of life' and for 'transformative technologies'. Omics investigation (Francavilla) of Receptor Tyrosine Kinase signalling upon stimulation with different growth factors at different concentration will generate complex datasets to be analysed with advanced bioinformatics (Schwartz) and structural biology (Tabernero) tools followed by validation in a variety of cell-based assays (Francavilla). Thus, this project will exploit how a systems biology approach enables advancements in scientific discoveries when integrated with defined biological endpoints. Furthermore, training will be provided in quantitative proteomics, structural biology, bioinformatics, and core research disciplines (molecular and cell biology), thus forming the next generation of protein scientists.