生物
结直肠癌
计算生物学
仿形(计算机编程)
转录组
免疫系统
基因表达谱
遗传学
癌症研究
癌症
基因
基因表达
计算机科学
操作系统
作者
Michelli F. Oliveira,Juan P. Romero,Meii Chung,Stephen R. Williams,Andrew D. Gottscho,Anushka Gupta,Susan E. Pilipauskas,Seayar Mohabbat,Nandhini Raman,David J. Sukovich,David M. Patterson,Sarah E. B. Taylor
出处
期刊:Nature Genetics
[Springer Nature]
日期:2025-06-01
卷期号:57 (6): 1512-1523
被引量:45
标识
DOI:10.1038/s41588-025-02193-3
摘要
A comprehensive understanding of cellular behavior and response to the tumor microenvironment (TME) in colorectal cancer (CRC) remains elusive. Here, we introduce the high-definition Visium spatial transcriptomic technology (Visium HD) and investigate formalin-fixed paraffin-embedded human CRC samples (n = 5). We demonstrate the high sensitivity, single-cell-scale resolution and spatial accuracy of Visium HD, generating a highly refined whole-transcriptome spatial profile of CRC samples. We identify transcriptomically distinct macrophage subpopulations in different spatial niches with potential pro-tumor and anti-tumor functions via interactions with tumor and T cells. In situ gene expression analysis validates our findings and localizes a clonally expanded T cell population close to macrophages with anti-tumor features. Our study demonstrates the power of high-resolution spatial technologies to understand cellular interactions in the TME and paves the way for larger studies that will unravel mechanisms and biomarkers of CRC biology, improving diagnosis and disease management strategies.
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