Abrams Jennifer L, Morano Kevin A
Department of Microbiology and Molecular Genetics, Graduate School of Biomedical Sciences, University of Texas Medical School.
J Vis Exp. 2013 Jul 9(77):e50432. doi: 10.3791/50432.
Proteostasis, defined as the combined processes of protein folding/biogenesis, refolding/repair, and degradation, is a delicate cellular balance that must be maintained to avoid deleterious consequences (1). External or internal factors that disrupt this balance can lead to protein aggregation, toxicity and cell death. In humans this is a major contributing factor to the symptoms associated with neurodegenerative disorders such as Huntington's, Parkinson's, and Alzheimer's diseases (10). It is therefore essential that the proteins involved in maintenance of proteostasis be identified in order to develop treatments for these debilitating diseases. This article describes techniques for monitoring in vivo protein folding at near-real time resolution using the model protein firefly luciferase fused to green fluorescent protein (FFL-GFP). FFL-GFP is a unique model chimeric protein as the FFL moiety is extremely sensitive to stress-induced misfolding and aggregation, which inactivates the enzyme (12). Luciferase activity is monitored using an enzymatic assay, and the GFP moiety provides a method of visualizing soluble or aggregated FFL using automated microscopy. These coupled methods incorporate two parallel and technically independent approaches to analyze both refolding and functional reactivation of an enzyme after stress. Activity recovery can be directly correlated with kinetics of disaggregation and re-solubilization to better understand how protein quality control factors such as protein chaperones collaborate to perform these functions. In addition, gene deletions or mutations can be used to test contributions of specific proteins or protein subunits to this process. In this article we examine the contributions of the protein disaggregase Hsp104 (13), known to partner with the Hsp40/70/nucleotide exchange factor (NEF) refolding system (5), to protein refolding to validate this approach.
蛋白质稳态被定义为蛋白质折叠/生物合成、重折叠/修复以及降解的综合过程,是一种必须维持的微妙细胞平衡,以避免产生有害后果(1)。破坏这种平衡的外部或内部因素会导致蛋白质聚集、毒性和细胞死亡。在人类中,这是导致与神经退行性疾病(如亨廷顿舞蹈症、帕金森病和阿尔茨海默病)相关症状的主要因素(10)。因此,识别参与维持蛋白质稳态的蛋白质对于开发针对这些使人衰弱疾病的治疗方法至关重要。本文描述了使用与绿色荧光蛋白融合的模型蛋白萤火虫荧光素酶(FFL-GFP)以近实时分辨率监测体内蛋白质折叠的技术。FFL-GFP是一种独特的模型嵌合蛋白,因为FFL部分对压力诱导的错误折叠和聚集极其敏感,这会使酶失活(12)。使用酶促测定法监测荧光素酶活性,并且GFP部分提供了一种使用自动显微镜观察可溶性或聚集态FFL的方法。这些耦合方法结合了两种并行且技术上独立的方法,以分析应激后酶的重折叠和功能再激活。活性恢复可以直接与解聚和再溶解动力学相关联,以更好地理解诸如蛋白质伴侣等蛋白质质量控制因子如何协作执行这些功能。此外,基因缺失或突变可用于测试特定蛋白质或蛋白质亚基对这一过程的贡献。在本文中,我们研究了已知与Hsp40/70/核苷酸交换因子(NEF)重折叠系统协同作用的蛋白质解聚酶Hsp104(13)对蛋白质重折叠的贡献,以验证这种方法。