Construction of the Androgen Receptor Interactome: A Molecular Framework for Probing Genetic Interactions in Androgen-Dependent Signaling

雄激素受体是一种强大的性类固醇激素受体，介导体内平衡和病理性 在人类的免疫反应系统中发挥作用。在过去的30年里，自从最初的克隆 雄激素受体cDNA，雄激素受体功能的分子见解，包括正常和病理， 从结合和调节雄激素受体活性的蛋白质的发现中收集到的。这些 雄激素受体相互作用蛋白，更好地称为AR-相互作用组，构成了功能多样的 在细胞水平上在空间和时间上调节雄激素受体功能的蛋白质谱。像 其他性类固醇激素受体家族成员，雄激素受体是一个非常粘的受体。它有更多 超过350个结合伴侣，这使得雄激素受体作为一个枢纽，以调节细胞信号， 通过与AR相互作用组的动态蛋白质相互作用的分子水平。不幸的是，AR- 互动组随着时间的推移继续增长，看不到明确的终点。我们无法定义AR相互作用组， 单细胞模型使得几乎不可能在实验上复制AR-相互作用物组， 了解它们的协调行动如何在空间和时间上调节AR依赖性信号。因此，在本发明中， AR依赖性信号传导的定量和预测模型充其量仍是推测性的。我们的科学 前提是，细胞中AR相互作用组的仔细注释和发现将为 了解这种亚蛋白质组如何在雄激素受体的生理和病理功能中发挥作用， 快速响应系统。因此，我们提出了一个实验计划来注释AR-相互作用组 在雄激素敏感的细胞模型中使用尖端的定量蛋白质组学技术。我们的蛋白质组 这些方法将定义细胞中AR-相互作用组的时空图，并为探测奠定基础。 包括AR-相互作用体的蛋白质复合物内和蛋白质复合物之间的遗传关系。蛋白质组 这些发现将使我们能够在细胞系统中开发可测试的AR依赖性信号模型。这些模型 将提供一个分子框架，以了解雄激素介导的信号传导如何在 稳态和病理状态。更重要的是，它们将指导发现新的药物靶点 在AR-相互作用组中，因此在雄激素受体- 影响人类生殖和非生殖系统的相关病理。

Androgen receptor is a powerful sex-steroid hormone receptor that mediates homeostatic and pathological functions in hormone-responsive systems in humans. Over the past 30 years, since the original cloning of the androgen receptor cDNA, molecular insights into androgen receptor function, both normal and pathological, have been gleaned from the discovery of proteins that bind and regulate androgen receptor activity. These androgen receptor-interacting proteins, better known as the AR-interactome, constitute a functionally diverse spectrum of proteins that modulate androgen receptor function in space and time at the cellular level. Like other sex-steroid hormone receptor family members, androgen receptor is a very sticky receptor. It has more than 350 binding partners, which allows androgen receptor to serve as a hub to regulate cellular signaling at the molecular level through dynamic protein interactions with the AR-interactome. Unfortunately, the AR- interactome continues to grow over time with no clear end in sight. Our inability to define the AR-interactome in a single cellular model has made it nearly impossible to experimentally replicate the AR-interactome and understand how their coordinated actions regulate AR-dependent signaling in space and time. Thus, quantitative and predictive models of AR-dependent signaling remain speculative at best. Our scientific premise is that the careful annotation and discovery of the AR-interactome in cells will lay the foundation for understanding how this subproteome contributes to physiologic and pathologic androgen receptor functions in hormone-responsive systems. Thus, we have proposed an experimental plan to annotate the AR-interactome in androgen-sensitive cellular models using cutting-edge, quantitative proteomic techniques. Our proteomic approaches will define a spatiotemporal map of the AR-interactome in cells, and lay the foundation for probing genetic relationships within and between protein complexes comprising the AR-interactome. The proteomic findings will allow us to develop testable models of AR-dependent signaling in cellular systems. These models will provide a molecular framework to understand how androgen-mediated signaling operates under homeostatic and pathological states. More importantly, they will guide the discovery of novel druggable targets among the AR-interactome so that corrupted AR-dependent signaling can be attenuated in androgen receptor- related pathologies that afflict reproductive and non-reproductive systems in humans.