Nightingale Daniel J H, Lilley Kathryn S, Oliver Stephen G
Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, United Kingdom.
Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, United Kingdom.
Bio Protoc. 2019 Jul 20;9(14):e3303. doi: 10.21769/BioProtoc.3303.
The correct subcellular localization of proteins is vital for cellular function and the study of this process at the systems level will therefore enrich our understanding of the roles of proteins within the cell. Multiple methods are available for the study of protein subcellular localization, including fluorescence microscopy, organelle cataloging, proximity labeling methods, and whole-cell protein correlation profiling methods. We provide here a protocol for the systems-level study of the subcellular localization of the yeast proteome, using a version of hyperplexed Localization of Organelle Proteins by Isotope Tagging (hyperLOPIT) that has been optimized for use with . The entire protocol encompasses cell culture, cell lysis by nitrogen cavitation, subcellular fractionation, monitoring of the fractionation using Western blotting, labeling of samples with TMT isobaric tags and mass spectrometric analysis. Also included is a brief explanation of downstream processing of the mass spectrometry data to produce a map of the spatial proteome. If required, the nitrogen cavitation lysis and Western blotting portions of the protocol may be performed independently of the mass spectrometry analysis. The protocol in its entirety, however, enables the unbiased, systems-level and high-resolution analysis of the localizations of thousands of proteins in parallel within a single experiment.
蛋白质正确的亚细胞定位对于细胞功能至关重要,因此在系统水平上研究这一过程将丰富我们对蛋白质在细胞内作用的理解。有多种方法可用于研究蛋白质亚细胞定位,包括荧光显微镜、细胞器编目、邻近标记方法和全细胞蛋白质相关性分析方法。我们在此提供一种用于酵母蛋白质组亚细胞定位系统水平研究的方案,使用一种经过优化以与……一起使用的同位素标记细胞器蛋白质超多重定位(hyperLOPIT)版本。整个方案包括细胞培养、通过氮空化进行细胞裂解、亚细胞分级分离、使用蛋白质印迹法监测分级分离、用TMT等压标签标记样品以及质谱分析。还包括对质谱数据下游处理以生成空间蛋白质组图谱的简要解释。如果需要,该方案中的氮空化裂解和蛋白质印迹部分可以独立于质谱分析进行。然而,整个方案能够在单个实验中对数千种蛋白质的定位进行无偏倚、系统水平和高分辨率的并行分析。