Protocol for spatial proteomic profiling of tonsil cancer microenvironments using multiplexed imaging-powered deep visual proteomics

Here, we present a protocol for spatial proteomic profiling of the tumor microenvironment in tonsil cancer using multiplexed imaging-powered deep visual proteomics (mipDVP). We describe steps for automated 22-plex immunofluorescence staining and imaging on formalin-fixed paraffin-embedded (FFPE) tissue sections, automated single-cell laser microdissection, and single-cell-type mass spectrometry. This workflow enables the spatially resolved isolation of distinct cell populations for proteomic analysis. We optimized this protocol for studying tumor-immune interactions, where it facilitates the systematic identification of biomarkers and functional cellular networks. For complete details on the use and execution of this protocol, please refer to Zheng et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-06-18
DOI
https://doi.org/10.1016/j.xpro.2025.103901
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Protocol for spatial proteomic profiling of tonsil cancer microenvironments using multiplexed imaging-powered deep visual proteomics

Xiang Zheng, Andreas Mund, Matthias Mann
STAR Protocols
Single-cell and spatial transcriptomics
article

Protocol for spatial proteomic profiling of tonsil cancer microenvironments using multiplexed imaging-powered deep visual proteomics

Xiang Zheng, Andreas Mund, Matthias Mann
article en

Abstract

Here, we present a protocol for spatial proteomic profiling of the tumor microenvironment in tonsil cancer using multiplexed imaging-powered deep visual proteomics (mipDVP). We describe steps for automated 22-plex immunofluorescence staining and imaging on formalin-fixed paraffin-embedded (FFPE) tissue sections, automated single-cell laser microdissection, and single-cell-type mass spectrometry. This workflow enables the spatially resolved isolation of distinct cell populations for proteomic analysis. We optimized this protocol for studying tumor-immune interactions, where it facilitates the systematic identification of biomarkers and functional cellular networks. For complete details on the use and execution of this protocol, please refer to Zheng et al.<sup>1</sup>.

STAR ProtocolsVol. 6(3)
Novo Nordisk Foundation (DK)
Max-Planck-Gesellschaft, Novo Nordisk Fonden
Openalex Percentile: Top 87%
Single-cell and spatial transcriptomics
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