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

被引:4
|
作者
Makhmut, Anuar [1 ]
Qin, Di [1 ]
Hartlmayr, David [2 ]
Seth, Anjali [2 ]
Coscia, Fabian [1 ]
机构
[1] Helmholtz Assoc MDC, Spatial Prote Grp, Max Delbruck Ctr Mol Med, Berlin, Germany
[2] Cellenion SASU, Lyon, France
关键词
D O I
10.1016/j.mcpro.2024.100750
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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 micro- dissection 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 mu m(2) to a depth of similar to 2000 proteins and with high cell type specificity. We finally provide detailed equipment templates and experimental guidelines for broad accessibility.
引用
收藏
页数:11
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