炎症性肠病
溃疡性结肠炎
地图集(解剖学)
临床试验
医学
转录组
结肠炎
疾病
生物信息学
计算生物学
水准点(测量)
病理
空间流行病学
计算机科学
炎症性肠病
数据挖掘
数据质量
转化研究
数据管理
临床实习
空间分析
远端结肠
作者
Yiming Li,Cenfu Wei,Wenjing Yang,Hai Tao Wang,Alan Robinson,Isabella Peshek,Tianming Yu,Jiwoon Park,Jenny Yanyi Ding,Stephen B. Hanauer,Emanuelle Bellaguarda,Laura Yun,Ronen Sumagin,Guang‐Yu Yang,Christopher E. Mason,James D. Lewis,Deyu Fang,Yingzi Cong,Yuan Luo,Parambir S. Dulai
标识
DOI:10.1038/s41467-026-72482-w
摘要
Using over 100 intestinal tissue sections from non-diseased controls and patients with ulcerative colitis or Crohn's disease across multiple inflammatory bowel disease consortia, we construct a spatially resolved atlas containing over three million cells and systematically evaluate two imaging-based spatial transcriptomics platforms. Here we show that CosMx tends to achieve higher detection efficiency than Xenium across commercially available panels in both ulcerative colitis and Crohn's disease, whereas Xenium shows reduced performance associated with tissue type, block quality, and panel size. CosMx identifies regulatory T cell associated biology in both disease subtypes, which we validate using independent laboratory experiments and multi-plex spatial multi-omics. CosMx's data quality remains stable across variation in fixation time and sectioning procedures, supporting its operational feasibility for multi-center studies. This study establishes a technical and biological benchmark for the application of single-cell-resolved spatial transcriptomics in gastrointestinal tissue, enabling more reliable application of spatial technologies in translational inflammatory bowel disease research.
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