Automated spatial omics landscape analysis approach reveals novel tissue architectures in ulcerative colitis.
Sci Rep
; 14(1): 18934, 2024 08 15.
Article
em En
| MEDLINE
| ID: mdl-39147769
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.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Colite Ulcerativa
Limite:
Humans
Idioma:
En
Revista:
Sci Rep
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos