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Updated: Feb 9, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
Profiling the tumor microenvironment proteome in prostate cancer using laser capture microdissection coupled to
L Staunton1, C Tonry1, R Lis2
1Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Abstract:
Laser capture microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections. Here, we present an optimized workflow for coupling LCM to LCMS/MS including: sectioning of tissue, a standard LCM workflow, protein digestion and advanced LCMS/MS. Soluble proteins extracted from benign epithelial cells, their associated stroma, tumor epithelial cells and their associated stromal cells from a single patient tissue sample were digested and profiled using advanced LCMS/MS. The correlation between technical replicates was R2 = 0.99 with a mean % CV of 9.55% ± 8.73. The correlation between sample replicates was R2 = 0.97 with a mean % CV of 13.83% ± 10.17. This represents a robust, systematic approach for profiling of the tumor microenvironment using LCM coupled to label-free LCMS/MS.
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