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一种用于激光显微切割引导的超高灵敏度蛋白质组学的自动化快速样品制备工作流程。

An Automated and Fast Sample Preparation Workflow for Laser Microdissection Guided Ultrasensitive Proteomics.

机构信息

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Spatial Proteomics Group, Berlin, Germany.

Cellenion SASU, Lyon, France.

出版信息

Mol Cell Proteomics. 2024 May;23(5):100750. doi: 10.1016/j.mcpro.2024.100750. Epub 2024 Mar 20.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/11067455/6b117ae53c3b/ga1.jpg

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