Deepening imaging-based spatial proteomics at high spatial resolution through controlled tissue resizing and in-situ bottom-up mass spectrometry

Deng, K.; Zhan, L.; Yi, L.; Zhang, J.; Tang, M.; Chang, T.; Ji, G.; Shao, X.; Xu, X.; Wei, X.; Zhang, T.; Yao, J.; Wang, J.; Wang, G.; Huang, Y.

doi:10.1101/2025.06.12.659329

bioRxiv · 10.1101/2025.06.12.659329

Deepening imaging-based spatial proteomics at high spatial resolution through controlled tissue resizing and in-situ bottom-up mass spectrometry

Deng, K.·Zhan, L.·Yi, L.·Zhang, J.·Tang, M.·Chang, T.·Ji, G.·Shao, X.·Xu, X.·Wei, X.·Zhang, T.·Yao, J.·Wang, J.·Wang, G.·Huang, Y.

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Abstract

Understanding the spatial organization of proteins in tissues is essential for elucidating biological function, but current proteomic imaging methods face limitations in resolution, sensitivity, and multiplexing capability. Here, we present IMPACT (Imaging Mass Spectrometry for Proteome Analysis on Compressed Tissue), a hydrogel-based workflow that integrates controlled vertical tissue compression following expansion to enhance protein detection while improving spatial resolution in mass spectrometry imaging (MSI). Through a 6-fold lateral expansion and 100-fold thickness reduction, analytes were concentrated at the surface to improve detection and enable analysis of thick specimen. Coupled with optimized in-gel digestion using hybrid enzymes, IMPACT increased protein identifications 3-fold compared to conventional MSI while maintaining spatial fidelity. We demonstrate IMPACTs utility in mapping low-abundance proteins and resolving fine anatomical structures. Orthogonal validation with immunofluorescence and integration with spatial transcriptomics further reveal protein-RNA distribution discrepancies, highlighting the need for direct proteomic imaging. IMPACT bridges critical gaps in spatial proteomics by enabling high-resolution, high-sensitivity, and multiplexed untargeted protein imaging, opening new avenues for tissue biology and biomarker discovery.

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Deng, K., Zhan, L., Yi, L., Zhang, J., Tang, M., Chang, T., Ji, G., Shao, X., Xu, X., Wei, X., Zhang, T., Yao, J., Wang, J., Wang, G., Huang, Y.. 2025-06-17. Deepening imaging-based spatial proteomics at high spatial resolution through controlled tissue resizing and in-situ bottom-up mass spectrometry. https://doi.org/10.1101/2025.06.12.659329

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