Proteomics

在NURSA项目的未来5年中，我们将进行一系列高级数据收购，这些数据将 为体内信号调控NR途径的“系统生物学”提供蛋白质组学图谱。如此高的吞吐量 数据采集项目本身并不可能成为R01机制，但积累的 数据将极大地刺激整个核受体科学领域以假设为导向的研究。我们会 致力于分离和鉴定小鼠组织中的协同调节(COR)复合体，改进方案 用于从小鼠肝脏、脂肪细胞、子宫和脑组织中提取蛋白质提取液，用于蛋白质组学 分析、分离和鉴定小鼠组织中的辅调节蛋白复合体，用于质量分析 规范。我们将对协同调节复合体的翻译后修饰(PTM)进行分析，我们将 还将描述生理信号后NR和CORS的协调PTM。

In the next 5 years of the NURSA project, we will carry out a series of advanced data acquisitions that will provide a proteomic atlas for the "systems biology" of signal-regulated NR pathways in vivo. Such highthroughput data acquisition projects are not themselves possible as R01 mechanisms, yet the accumulated data will greatly stimulate hypothesis-driven research in the entire field of nuclear receptor science. We will pursue the isolation and identification of coregulator (CoR) complexes in mouse tissues, improving protocols For generating protein extracts from mouse tissues of liver, adipocytes, uterus and brain for proteomic analyses, and isolating and identify coregulator protein complexes from mouse tissues for analysis by mass spec. We will carry out profiling of post-translational modifications (PTM) of coregulator complexes and we will also profile coordinated PTMs of NR and CoRs following physiologic signaling.