AI Article Synopsis

  • - The effectiveness of spatial omics in understanding cellular interactions in health and disease is limited by the absence of strategies that connect disease states with cellular annotations based on spatial patterns.
  • - The researchers employed a spatial context-dependent method in ulcerative colitis patient biopsies to identify complex structures and rare cell types within germinal-center B cell follicles.
  • - This method enhances the understanding of disease mechanisms, provides a framework for automating the detection of complex spatial architectures, and helps improve precision in diagnosis and treatment approaches.

Article Abstract

The utility of spatial omics in leveraging cellular interactions in normal and diseased states for precision medicine is hampered by a lack of strategies for matching disease states with spatial heterogeneity-guided cellular annotations. Here we use a spatial context-dependent approach that matches spatial pattern detection to cell annotation. Using this approach in existing datasets from ulcerative colitis patient colonic biopsies, we identified architectural complexities and associated difficult-to-detect rare cell types in ulcerative colitis germinal-center B cell follicles. Our approach deepens our understanding of health and disease pathogenesis, illustrates a strategy for automating nested architecture detection for highly multiplexed spatial biology data, and informs precision diagnosis and therapeutic strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10980100PMC
http://dx.doi.org/10.21203/rs.3.rs-3965505/v1DOI Listing

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