Department of Chemistry , Southern University of Science and Technology , Shenzhen 518055 , China.
State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , China.
Anal Chem. 2019 Jul 16;91(14):9181-9189. doi: 10.1021/acs.analchem.9b01930. Epub 2019 Jun 27.
Region- and cell type-resolved global proteome and specific post-translational modifications (PTMs) profiling of tissues has drawn great attention recently for interpreting the heterogeneous multicellular microenvironment of various in vivo systems. Due to access to low microgram of proteins and low abundance of glycoproteins, spatially resolved glycoproteome analysis of in vivo tissue sections remains challenging. Several glycoproteomics sample preparation strategies were established for processing microgram-level of protein samples, but these strategies were not either fully integrated or directly compatible with tissue samples when considering protein extraction in strong lysis buffers. Moreover, these approaches mainly focused on identification of glycosylation sites, but pay less attention to quantification, all of which limit their applications. Here we designed a fully integrated spintip-based glycoproteomic approach (FISGlyco) which achieves all the steps of glycoprotein enrichment, digestion, deglycosylation, and desalting in single spintip device. Sample loss is significantly reduced, and the total processing time is reduced to 4 h, while detection sensitivity and label-free quantification precision is greatly improved. 607 N-glycosylation sites were successfully identified and quantified from only 5 μg of mouse brain proteins. By seamlessly combining with laser capture microdissection (LCM), the first region-resolved N-glycoproteome profiling of four mouse brain regions, including isocortex, hippocampus, thalamus, and hypothalamus, was achieved, with 1875, 1794, 1801, and 1417 N-glycosites identified, respectively. Our approach could be a generic approach for region and even cell type specific glycoproteome analysis of in vivo tissue sections.
最近,对组织进行区域和细胞类型分辨的全局蛋白质组和特定翻译后修饰(PTM)谱分析,受到了广泛关注,因为它可以对各种体内系统的异质多细胞微环境进行解释。由于只能获得微克级别的蛋白质和低丰度的糖蛋白,因此对体内组织切片进行空间分辨糖蛋白质组分析仍然具有挑战性。已经建立了几种糖蛋白质组学样品制备策略来处理微克级别的蛋白质样品,但在考虑使用强裂解缓冲液进行蛋白质提取时,这些策略要么没有完全整合,要么与组织样品不兼容。此外,这些方法主要集中在糖基化位点的鉴定上,但对定量关注较少,所有这些都限制了它们的应用。在这里,我们设计了一种完全集成的基于自旋尖端的糖蛋白质组学方法(FISGlyco),该方法可以在单个自旋尖端设备中完成糖蛋白富集、消化、去糖基化和脱盐的所有步骤。样品损失显著减少,总处理时间缩短至 4 小时,同时大大提高了检测灵敏度和无标记定量的精度。仅从 5 μg 的小鼠脑蛋白中就成功鉴定和定量了 607 个 N-糖基化位点。通过与激光捕获显微切割(LCM)无缝结合,实现了四个小鼠脑区(包括大脑皮层、海马体、丘脑和下丘脑)的首次区域分辨的 N-糖蛋白质组图谱,分别鉴定到 1875、1794、1801 和 1417 个 N-糖基化位点。我们的方法可以成为对体内组织切片进行区域甚至细胞类型特异性糖蛋白质组分析的通用方法。