Single-cell spatial transcriptomics of formalin-fixed, paraffin-embedded biopsies reveals colitis-associated cell networks

Imaging-based single-cell spatial transcriptomics (iSCST) on formalin-fixed, paraffin-embedded (FFPE) tissue enables comprehensive analysis of archived specimens while preserving spatial context, critical to an understanding of ulcerative colitis (UC) pathology. Here, we deployed a robust framework for applying iSCST to clinical FFPE mucosal biopsies from patients with UC, immune checkpoint inhibitor-induced (ICI) colitis and healthy controls. iSCST using custom Xenium gene panels enabled precise detection of diverse cell subsets and disease-specific genes. We mapped transcriptionally distinct fibroblast subsets within mucosal niches, including inflammation-associated fibroblasts (IAFs), and identified colitis-specific neighborhoods formed by IAFs, monocytes, and neutrophils. Transcriptional signatures and spatial neighborhoods uncovered through iSCST were associated with vedolizumab (VDZ) response, with non-responders exhibiting either an innate IAF-monocyte-neutrophil signature or adaptive gut-associated lymphoid tissue (GALT) signature, while responders showed enrichment of an epithelial cellular neighborhood. These signatures were validated in an internal and an external dataset, supporting the existence of two distinct archetypes of treatment resistance to VDZ in UC. This iSCST framework provides a powerful approach for analyzing FFPE tissues, offering insights into colitis-associated cellular networks and identifying biomarkers to enhance patient risk stratification in routine clinical workflows.

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Publication Details

Journal
Journal of Clinical Investigation
Published
2026-06-09
DOI
https://doi.org/10.1172/jci202488
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell spatial transcriptomics of formalin-fixed, paraffin-embedded biopsies reveals colitis-associated cell networks

Walter L. Eckalbar, Elvira Mennillo, Gyehyun Lee, Donna Leet et al.
Journal of Clinical Investigation
Single-cell and spatial transcriptomics
article

Single-cell spatial transcriptomics of formalin-fixed, paraffin-embedded biopsies reveals colitis-associated cell networks

Walter L. Eckalbar, Elvira Mennillo, Gyehyun Lee, Donna Leet, Vrinda Johri, Jun He, Ryan M. Gill, Christopher Bowman, Uma Mahadevan, Michael G. Kattah, Alexis J. Combes, Madison L. Lotstein, Gabriela K. Fragiadakis, Christina Ekstrand, Jessica Tsui, David Y. Oh, Julian H. Hou
article en

Abstract

Imaging-based single-cell spatial transcriptomics (iSCST) on formalin-fixed, paraffin-embedded (FFPE) tissue enables comprehensive analysis of archived specimens while preserving spatial context, critical to an understanding of ulcerative colitis (UC) pathology. Here, we deployed a robust framework for applying iSCST to clinical FFPE mucosal biopsies from patients with UC, immune checkpoint inhibitor-induced (ICI) colitis and healthy controls. iSCST using custom Xenium gene panels enabled precise detection of diverse cell subsets and disease-specific genes. We mapped transcriptionally distinct fibroblast subsets within mucosal niches, including inflammation-associated fibroblasts (IAFs), and identified colitis-specific neighborhoods formed by IAFs, monocytes, and neutrophils. Transcriptional signatures and spatial neighborhoods uncovered through iSCST were associated with vedolizumab (VDZ) response, with non-responders exhibiting either an innate IAF-monocyte-neutrophil signature or adaptive gut-associated lymphoid tissue (GALT) signature, while responders showed enrichment of an epithelial cellular neighborhood. These signatures were validated in an internal and an external dataset, supporting the existence of two distinct archetypes of treatment resistance to VDZ in UC. This iSCST framework provides a powerful approach for analyzing FFPE tissues, offering insights into colitis-associated cellular networks and identifying biomarkers to enhance patient risk stratification in routine clinical workflows.

Journal of Clinical Investigation
Mayo Clinic (US), University of California, San Francisco (US), University of California San Francisco Medical Center (US), University of Zimbabwe-University of California San Francisco (ZW), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), University of San Francisco (US)
Bill and Melinda Gates Foundation, Melanoma Research Alliance, Kenneth Rainin Foundation, LEO Fondet, National Institutes of Health, University of California, San Francisco
Openalex Percentile: Top 10%
Single-cell and spatial transcriptomics
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