使用 LinG3D 软件可视化克隆进化的时空动态
Anjun Hu1, Awino Maureiq E Ojwang'1, Kayode D Olumoyin1
1Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa FL 33612, USA.
bioRxiv : the preprint server for biology
|March 18, 2024
概括
癌症的克隆进化受到瘤内的细胞位置的影响. 新的算法可视化了这个空间组成部分,增强了血统追踪,以更好地了解癌症的进展和治疗反应.
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:
- 癌症的克隆进化受到瘤组织内细胞的空间分布的影响.
- 药物度和微环境因素在空间上有所不同,导致癌症克隆的进化路径分歧.
- 传统的血统树缺乏空间维度,限制了对克隆行为 in vivo 的理解.
研究的目的:
- 引入LinG3D (三维谱系图) 算法,用于对癌症克隆进化的时空可视化.
- 将空间信息和微环境因素纳入瘤克隆动态的分析.
- 为研究癌症进展和治疗效果的研究人员提供开源工具.
主要方法:
- 开发LinG3D算法用于癌症克隆的时空跟踪.
- 在 MATLAB,Python 和 R 中实现,以实现广泛的可访问性.
- 模拟瘤进化模型和微环境因素 (如药物,氧气分布) 的整合.
主要成果:
- 在2D瘤切片中,LinG3D能够在空间和时间中可视化克隆进化.
- 这些算法成功地在模拟的瘤中证明了效用,其克隆数量有所变化.
- 使用实验殖民地生长试验进行了验证,证实了该工具的适用性.
结论:
- LinG3D算法通过结合癌症克隆的关键空间组件来扩展经典的血统树.
- 这种新的方法增强了对瘤微环境如何影响克隆进化的理解.
- 由于LinG3D的开源性质有利于癌症生物学和治疗策略的先进研究.
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