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Combining same-section spatial transcriptomics with high-plex protein imaging enables comprehensive characterization of the tissue microenvironment while preserving spatial information. Here, we present a protocol for multimodal spatial RNA and protein profiling using Xenium transcriptomics and MACSima cyclic protein imaging. We describe steps for tissue preparation, hybridization, and RNA imaging, followed by slide recovery, antigen retrieval, and MACSima imaging cyclic staining (MICS). We provide Python scripts for data registration and integration to generate a single-cell multimodal map of the tissue microenvironment.
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Scheuermann et al. (2026) studied this question.
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