ONTraC通过利基轨迹分析来表征组织微环境的空间连续变化
Wen Wang1, Shiwei Zheng1, Sujung Crystal Shin1
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Genome biology
|May 9, 2025
概括
我们开发了ONTraC,这是一个新的图形神经网络框架,用于绘制组织微环境的地图. ONTraC分析空间数据以揭示组织结构和基因表达变化,优于现有的方法.
科学领域:
- 计算生物学是一种计算生物学.
- 生物信息学是一种生物信息学.
- 空间转录组学 空间转录组学
背景情况:
- 单细胞分辨率技术允许组织空间组织的详细映射.
- 现有的方法缺乏对空间连续组织微环境的可靠分析.
研究的目的:
- 介绍ONTraC,一个新的图形神经网络框架.
- 能够在利基层面构建和分析空间轨迹.
- 描述组织微环境的结构和功能组织.
主要方法:
- 开发了ONTraC,一个基于图形神经网络的框架.
- 利用模拟和真实生物数据集进行基准测试.
- 分析了基因表达,调节网络和细胞与细胞相互作用.
主要成果:
- 在分析空间微环境方面,ONTraC的性能优于现有的方法.
- 成功捕捉正常的解剖结构和与疾病相关的变化.
- 识别分子和细胞模式中微环境依赖的变化.
结论:
- ONTraC为空间微环境分析提供了一个强大的框架.
- 能够更深入地了解组织组织和组织功能.
- 促进在正常和患病的组织中发现.
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