bioRxivSystems BiologyPreprint
Increasing the sensitivity, recovery, and integrality of spatially resolved proteomics by LCM-MTA
Lei GuiD, Xumiao Li, Ziyi LiiD, Qin-Qin Wang, Kuo ZhengiD, Guanyu YuiD, Chaoqun Dai, Jingquan LiiD, Benpeng Zhao, Huiping Zhang, Qizhi He, Wei ZhangiD, Chen LiiD, Hui WangiD
Abstract
Conventional proteomic approaches neglect tissue heterogeneity and spatial localization information. Laser capture microdissection (LCM) can isolate specific cell populations or histological areas from heterogeneous tissue specimens while preserving spatial localization information. Formalin-fixed paraffin-embedded (FFPE) is currently a standardized method for long-term stable preservation of clinical tissue specimens. However, spatially resolved proteomics (SRP) studies of FFPE tissues by combined LCM and mass spectrometry (MS)-based proteomics face challenges, such as formalin-induced protein crosslinking limits protein extraction and digestion, protein loss during sample preparation, and the detectability of MS for trace tissues. Therefore, it is necessary to specifically develop SRP sample preparation methods and MS methods suitable for trace FFPE tissues. Here, we provide an SRP method suitable for trace FFPE tissues produced by LCM, termed LCM-Magnetic Trace Analysis (LCM-MTA), which can significantly increase the sensitivity, recovery, and integrality of SRP. The starting material has been reduced to about 15 cells, which resolution is comparable to existing spatially resolved transcriptome (SRT). We also apply our LCM-MTA into SRP studies on clinical colorectal cancer (CRC) tissues and accurately distinguish the functional differences of different cell types. In conclusion, LCM-MTA is a convenient, universal, and scalable method for SRP of trace FFPE tissues, which can be widely used in clinical and non-clinical research fields.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: benchmarking
- approach: experimental assay
- Citations
- 4
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- MR-SP2: A Microreactor for Upward Pressure-Catapulting Laser Microdissection for Mass Spectrometry-Based Spatial Proteomics at Single-Cell Resolution
Manuel Metzger, Maximilian Maldacker, … Jan-Niklas Klatt·Journal of Proteome ResearchPeer-reviewed·Mar 31, 2026
- High-Throughput Spatial Proteomics at Cellular and Subcellular Resolution via a Hanging Droplet Workflow
Hao Chen, Ulises H. Guzmán, Jesper Velgaard Olsen·bioRxiv·Nov 6, 2025
- Evaluation and application of chemical decrosslinking in the context of histopathological spatial proteomics
Andikan J. Nwosu, Liang Chen, … Ljiljana Pasa-Tolic·bioRxiv·Feb 9, 2026
- Laser capture microdissection coupled mass spectrometry (LCM-MS) for spatially resolved analysis of formalin-fixed and stained human lung tissues
J. A. Herrera, V. Mallikarjun, … J. Swift·Clinical ProteomicsPeer-reviewed·Jun 17, 2020
- Refining Spatial Proteomics by Mass Spectrometry: An Efficient Workflow Tailored for Archival Tissue
R. Daucke, C. V. Rift, … E. M. Schoof·BMC MethodsPeer-reviewed·Apr 22, 2026
- A framework for ultra-low input spatial tissue proteomics
Anuar Makhmut, Di Qin, … Fabian Coscia·Cell SystemsPeer-reviewed·Oct 30, 2023