A toolkit for tyrosine kinase signalling network analysis.

用于酪氨酸激酶信号网络分析的工具包。

• 批准号: BB/M013782/1
• 负责人: Paul Huang
• 金额: $ 18.35万
• 依托单位: Institute of Cancer Research
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FM013782%2F1
• 关键词: toolkit; tyrosine; kinase; signalling; network

Tyrosine kinases (TKs) control multiple essential physiological processes including multi-cellular development and metabolic homeostasis. Deregulation of TKs and their associated downstream signalling cascades are key drivers in debilitating diseases such as diabetes and cancer. Consequently, the ability to accurately profile TK signalling events at a systems level is of considerable interest. Here we seek to develop a prototype Toolkit which measures TK signalling networks into a contract-based service and explore the further development of the technology as "kit"-based profiling products for non-specialist users. We envisage that this commercial service will be of interest to a broad range of investigators who wish to profile cellular signalling in multiple biological contexts. Furthermore, the development of a kit-based product will enable non-specialist investigators to perform such experiments using standard equipment found within proteomic core facilities.

酪氨酸激酶（TK）控制多种重要的生理过程，包括多细胞发育和代谢稳态。TK及其相关下游信号级联的失调是糖尿病和癌症等衰弱性疾病的关键驱动因素。因此，在系统层面准确分析TK信号事件的能力引起了人们的极大兴趣。在这里，我们寻求开发一个原型工具包，将传统知识信号网络的措施，以合同为基础的服务，并探讨进一步发展的技术作为“工具包”为基础的分析产品，为非专业用户。我们设想，这种商业服务将是感兴趣的广泛的研究人员谁希望在多种生物学背景下的细胞信号。此外，基于试剂盒的产品的开发将使非专业研究人员能够使用蛋白质组核心设施中的标准设备进行此类实验。

项目成果

Spatial localisation of Discoidin Domain Receptor 2 (DDR2) signalling is dependent on its collagen binding and kinase activity.

• DOI: 10.1016/j.bbrc.2018.04.191
• 发表时间: 2018-06-18
• 期刊: Biochemical and biophysical research communications
• 影响因子: 3.1
• 作者: Luczynski MT;Harrison PT;Lima N;Krasny L;Paul A;Huang PH
• 通讯作者: Huang PH

Advances in mass spectrometry based strategies to study receptor tyrosine kinases.

• DOI: 10.1107/s2052252516020546
• 发表时间: 2017-03-01
• 期刊: IUCrJ
• 影响因子: 3.9
• 作者: Vyse S;Desmond H;Huang PH
• 通讯作者: Huang PH

Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines.

• DOI: 10.1007/978-1-4939-7154-1_16
• 发表时间: 2017
• 期刊: Methods in molecular biology
• 作者: Malgorzata Broncel;Paul H. Huang

Targeted Analysis of Phosphotyrosine Signaling by Multiple Reaction Monitoring Mass Spectrometry.

通过多重反应监测质谱法对磷酸酪氨酸信号进行靶向分析。

• DOI: 10.1007/978-1-4939-7154-1_17
• 发表时间: 2017
• 期刊: Methods in molecular biology (Clifton, N.J.)
• 作者: Payne LS