Abstract
Spatial multi-omics has drawn tremendous attention recently due to its powerfulness for unbiasedly and systematically discovering biomolecules with spatial resolution. Among them, spatial transcriptomics have been well exemplified and applied for exploring various biological systems with tissue heterogeneity. However, because of the requirement for processing limited amount of tissue slice samples and high sensitivity for LC-MS analysis, spatial proteomics has been largely lagged behind. In this talk, I will demonstrate our development of a fully integrated proteomics sample preparation technology SISPROT which could efficiently process nanogram level tissue slice sample for removing the staining dyes, protein digestion, peptide desalting, and TMT labeling. By further combining with multi-color immunohistochemical (IHC) imaging investigation, well-defined proximity labeling with single-cell resolution at centimeter scale, and automated laser capture microdissection, we achieved high-sensitive spatial visual proteomic analysis of formalin-fixed and parrffin-embedded (FFPE) tissue slice. Importantly, we systematically applied the spatial visual proteomic approaches to explore the tumor microenvironment of pancreatic cancer with high cell type heterogeneity.