Kitata Reta Birhanu, Velickovic Marija, Xu Zhangyang, Zhao Rui, Scholten David, Chu Rosalie K, Orton Daniel J, Chrisler William B, Mathews Jeremy V, Piehowski Paul D, Liu Tao, Smith Richard D, Liu Huiping, Wasserfall Clive H, Tsai Chia-Feng, Shi Tujin
bioRxiv. 2023 Aug 15:2023.08.14.553333. doi: 10.1101/2023.08.14.553333.
With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures important tissue heterogeneity, which make it impossible for proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single tissue voxel and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics. wcSOP capitalizes on buffer droplet-assisted wet collection of single tissue voxel dissected by LCM into the PCR tube cap and MS-compatible surfactant-assisted one-pot voxel processing in the collection cap. This convenient method allows reproducible label-free quantification of ∼900 and ∼4,600 proteins for single voxel from fresh frozen human spleen tissue at 20 μm × 20 μm × 10 μm (close to single cells) and 200 μm × 200 μm × 10 μm (∼100 cells), respectively. 100s-1000s of protein signatures with differential expression levels were identified to be spatially resolved between spleen red and white pulp regions depending on the voxel size. Region-specific signaling pathways were enriched from single voxel proteomics data. Antibody-based CODEX imaging was used to validate label-free MS quantitation for single voxel analysis. The wcSOP-MS method paves the way for routine robust single voxel proteomics and spatial proteomics.
利用基于先进质谱(MS)的蛋白质组学技术,可以从大块组织中实现基因组规模的蛋白质组覆盖。然而,这种大块测量缺乏空间分辨率,掩盖了重要的组织异质性,这使得组织微环境的蛋白质组图谱绘制变得不可能。在此,我们报告了一种集成的单组织体素湿式收集和表面活性剂辅助的单锅体素处理方法,称为wcSOP,用于稳健的无标记单体素蛋白质组学。wcSOP利用缓冲液滴辅助的湿式收集,将通过激光捕获显微切割(LCM)切割的单组织体素收集到PCR管帽中,并在收集帽中进行与MS兼容的表面活性剂辅助的单锅体素处理。这种便捷的方法能够分别对新鲜冷冻的人类脾脏组织中20μm×20μm×10μm(接近单细胞)和200μm×200μm×10μm(约100个细胞)的单体素进行约900种和约4600种蛋白质的可重复无标记定量。根据体素大小,在脾脏红髓和白髓区域之间鉴定出100 - 1000个具有差异表达水平的蛋白质特征,实现了空间分辨。从单体素蛋白质组学数据中富集了区域特异性信号通路。基于抗体的CODEX成像用于验证单体素分析的无标记MS定量。wcSOP-MS方法为常规稳健的单体素蛋白质组学和空间蛋白质组学铺平了道路。