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Updated: Jul 21, 2025

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模糊:一个R包,用于量化,可视化和模型空间细胞相互作用从多重成像与距离矩阵的空间图像.

Maria Masotti1, Nathaniel Osher1, Joel Eliason2

  • 1University of Michigan Department Biostatistics.

bioRxiv : the preprint server for biology
|July 28, 2023
PubMed
概括

一个新的R包,DIMPLE,提供了一个可扩展的框架来分析瘤微环境 (TME) 内的细胞与细胞相互作用. 该工具有助于理解这些相互作用如何影响瘤发育和耐药性,使用先进的成像数据.

关键词:
多重复合成像技术 (Multiplex Imaging) 是一种多元化成像技术.过程的点处理点.空间统计的空间统计.

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科学领域:

  • 在瘤学瘤学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 瘤微环境 (TME) 是一个复杂的细胞,血管和基质系统,对瘤进展至关重要.
  • 多复合成像使TME内的细胞表型的高分辨率空间映射成为可能.
  • 现有的统计方法很难分析来自先进的TME成像的大量数据.

研究的目的:

  • 开发一个可扩展的分析框架,用于量化,可视化和建模TME中的细胞-细胞相互作用.
  • 介绍DIMPLE,一个R包,旨在解决分析多重成像数据的当前方法的局限性.

主要方法:

  • 开发一种用于细胞相互作用分析的新型分析框架.
  • 将框架实现为一个名为DIMPLE的R包.
  • 应用DIMPLE来分析公开可用的多重成像数据.

主要成果:

  • DIMPLE提供了一个可扩展的解决方案,用于分析TME中复杂的细胞-细胞相互作用.
  • 该R包有效量化和可视化不同细胞类型之间的空间关系.
  • 分析显示,细胞相互作用模式和患者共变量之间存在显著的关联.

结论:

  • DIMPLE为研究TME的研究人员提供了一个强大的新工具.
  • 该框架有助于更深入地了解细胞相互作用在瘤生物学和药物耐药性的作用.
  • 这种方法提高了高分辨率成像数据在癌症研究中的实用性.