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融合:一个基于网络的应用程序,用于深入探索多omics数据与明亮场组织学
Samuel P Border1, Ricardo Melo Ferreira2, Nicholas Lucarelli1
1Department of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.
Nature communications
|September 25, 2025
概括
FUSION是一个新的网络平台,它将空间奥米克与组织图像集成在一起,用于详细分析. 它有助于研究人员了解各种器官的细胞组成和组织变化.
科学领域:
- 生物技术是生物技术.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 空间技术以接近单细胞的分辨率提供了对细胞和组织微环境的洞察.
- 在同一功能单元内的组织形态学与空间-体态学数据的综合分析仍然是一个挑战.
研究的目的:
- 介绍FUSION (功能单位状态识别在整个幻灯片图像),一个新的基于网络的平台,用于集成的空间-omics和组织学分析.
- 为细胞组成评估,定量形态测量和比较组织分析提供工作流程.
主要方法:
- 开发了FUSION,这是一个基于云的开源平台,可以在线访问.
- 在多个空间测试 (10x Visium, Visium HD, 10x Xenium, Cell DIVE, PhenoCycler) 中证明了FUSION的适用性.
- 在人类生物分子图谱计划中,将FUSION应用于脏,小肠,肺和皮肤的健康和生病组织.
主要成果:
- FUSION使空间学数据的可视化和分析以及高分辨率组织学成为可能.
- 该平台支持细胞组成的评估,形态测量和比较组织分析.
- 使用案例证明了FUSION能够区分球粒损伤,量化形态变化,并通过免疫透来表征纤维化.
结论:
- FUSION提供了一种综合的方法来分析空间经济学和形态学数据.
- 该平台支持各种空间分析和组织类型,促进更深入的生物洞察力.
- 对于研究组织微环境的研究人员来说,FUSION是一个有价值的,可访问的资源.
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