Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA.
Neuron. 2012 Jul 12;75(1):41-57. doi: 10.1016/j.neuron.2012.05.024.
We used affinity-purification mass spectrometry to identify 747 candidate proteins that are complexed with Huntingtin (Htt) in distinct brain regions and ages in Huntington's disease (HD) and wild-type mouse brains. To gain a systems-level view of the Htt interactome, we applied Weighted Correlation Network Analysis to the entire proteomic data set to unveil a verifiable rank of Htt-correlated proteins and a network of Htt-interacting protein modules, with each module highlighting distinct aspects of Htt biology. Importantly, the Htt-containing module is highly enriched with proteins involved in 14-3-3 signaling, microtubule-based transport, and proteostasis. Top-ranked proteins in this module were validated as Htt interactors and genetic modifiers in an HD Drosophila model. Our study provides a compendium of spatiotemporal Htt-interacting proteins in the mammalian brain and presents an approach for analyzing proteomic interactome data sets to build in vivo protein networks in complex tissues, such as the brain.
我们使用亲和纯化质谱法鉴定了 747 种候选蛋白,这些蛋白在亨廷顿病(HD)和野生型小鼠大脑的不同脑区和年龄与亨廷顿蛋白(Htt)复合物。为了从系统水平上了解 Htt 相互作用组,我们将加权相关网络分析应用于整个蛋白质组数据集,以揭示 Htt 相关蛋白的可验证等级和 Htt 相互作用蛋白模块网络,每个模块突出显示 Htt 生物学的不同方面。重要的是,含有 Htt 的模块富含涉及 14-3-3 信号、基于微管的运输和蛋白质稳态的蛋白质。该模块中的顶级蛋白在 HD 果蝇模型中被验证为 Htt 相互作用蛋白和遗传修饰因子。我们的研究提供了哺乳动物大脑中时空 Htt 相互作用蛋白的纲要,并提出了一种分析蛋白质组相互作用组数据集的方法,以构建复杂组织(如大脑)中的体内蛋白质网络。