Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Spatial Proteomics Group, Berlin, Germany.
Cellenion SASU, Lyon, France.
Mol Cell Proteomics. 2024 May;23(5):100750. doi: 10.1016/j.mcpro.2024.100750. Epub 2024 Mar 20.
Spatial tissue proteomics integrating whole-slide imaging, laser microdissection, and ultrasensitive mass spectrometry is a powerful approach to link cellular phenotypes to functional proteome states in (patho)physiology. To be applicable to large patient cohorts and low sample input amounts, including single-cell applications, loss-minimized and streamlined end-to-end workflows are key. We here introduce an automated sample preparation protocol for laser microdissected samples utilizing the cellenONE robotic system, which has the capacity to process 192 samples in 3 h. Following laser microdissection collection directly into the proteoCHIP LF 48 or EVO 96 chip, our optimized protocol facilitates lysis, formalin de-crosslinking, and tryptic digest of low-input archival tissue samples. The seamless integration with the Evosep ONE LC system by centrifugation allows 'on-the-fly' sample clean-up, particularly pertinent for laser microdissection workflows. We validate our method in human tonsil archival tissue, where we profile proteomes of spatially-defined B-cell, T-cell, and epithelial microregions of 4000 μm to a depth of ∼2000 proteins and with high cell type specificity. We finally provide detailed equipment templates and experimental guidelines for broad accessibility.
空间组织蛋白质组学将全玻片成像、激光显微切割和超灵敏质谱分析相结合,是将细胞表型与(病理)生理学中功能蛋白质组状态联系起来的强大方法。为了适用于大型患者队列和低样本输入量,包括单细胞应用,最小化和简化端到端工作流程是关键。我们在这里介绍了一种利用 cellenONE 机器人系统对激光显微切割样本进行自动制备的方案,该系统能够在 3 小时内处理 192 个样本。在直接将激光显微切割收集到 proteoCHIP LF 48 或 EVO 96 芯片中后,我们的优化方案促进了低输入存档组织样本的裂解、福尔马林交联去除和胰酶消化。通过离心与 Evosep ONE LC 系统的无缝集成允许“实时”进行样品净化,这对于激光显微切割工作流程尤为重要。我们在人类扁桃体存档组织中验证了我们的方法,其中我们对 4000 μm 空间定义的 B 细胞、T 细胞和上皮微区的蛋白质组进行了深度约 2000 种蛋白质的分析,具有很高的细胞类型特异性。最后,我们提供了详细的设备模板和实验指南,以实现广泛的可访问性。