Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity

Despite the advances in antibody-guided cell typing and mass spectrometry-based proteomics, their integration is hindered by challenges for processing rare cells in the heterogeneous tissue context. Here, we introduce Spatial and Cell-type Proteomics (SCPro), which combines multiplexed imaging and flow cytometry with ion exchange-based protein aggregation capture technology to characterize spatial proteome heterogeneity with single-cell resolution. The SCPro is employed to explore the pancreatic tumor microenvironment and reveals the spatial alternations of over 5000 proteins by automatically dissecting up to 100 single cells guided by multi-color imaging of centimeter-scale formalin-fixed, paraffin-embedded tissue slide. To enhance cell-type resolution, we characterize the proteome of 14 different cell types by sorting up to 1000 cells from the same tumor, which allows us to deconvolute the spatial distribution of immune cell subtypes and leads to the discovery of subtypes of regulatory T cells. Together, the SCPro provides a multimodal spatial proteomics approach for profiling tissue proteome heterogeneity.

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Publication Details

Journal
Nature Communications
Published
2024-11-21
DOI
https://doi.org/10.1038/s41467-024-54438-0
Citations
32
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
7.48

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article

Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity

Yiheng Mao, Yiran Su, Changying Fu, Ying Sun et al.
32 citations
Nature Communications
Single-cell and spatial transcriptomics
7.48
article

Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity

Yiheng Mao, Yiran Su, Changying Fu, Ying Sun, Weina Gao, Xueting Ye, Panzhu Bai, Yun Yang, Ruijun Tian, Ruilian Xu, Xi Wang, Shengping Li, Wendong Chen, Yize Mao, Yuan Li, Fuchao Liang, Yanfen Xu
article en
32 citations

Abstract

Despite the advances in antibody-guided cell typing and mass spectrometry-based proteomics, their integration is hindered by challenges for processing rare cells in the heterogeneous tissue context. Here, we introduce Spatial and Cell-type Proteomics (SCPro), which combines multiplexed imaging and flow cytometry with ion exchange-based protein aggregation capture technology to characterize spatial proteome heterogeneity with single-cell resolution. The SCPro is employed to explore the pancreatic tumor microenvironment and reveals the spatial alternations of over 5000 proteins by automatically dissecting up to 100 single cells guided by multi-color imaging of centimeter-scale formalin-fixed, paraffin-embedded tissue slide. To enhance cell-type resolution, we characterize the proteome of 14 different cell types by sorting up to 1000 cells from the same tumor, which allows us to deconvolute the spatial distribution of immune cell subtypes and leads to the discovery of subtypes of regulatory T cells. Together, the SCPro provides a multimodal spatial proteomics approach for profiling tissue proteome heterogeneity.

Nature CommunicationsVol. 15(1)
Sun Yat-sen University (CN), Jinan University (CN), Southern University of Science and Technology (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
7.48
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