对瘤生长的瘤微环境交叉交互的高阶相互作用建模
Jincan Che1, Yu Wang2, Li Feng3
1Beijing Key Laboratory of Topological Statistics and Applications for Complex Systems, Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, PR China; Center for Computational Biology, School of Grassland Science, Beijing Forestry University, Beijing 100083, PR China.
Physics of life reviews
|May 24, 2025
概括
一个新的计算模型整合了进化和生态系统理论,绘制了瘤微环境 (TME) 内的基因相互作用. 这种方法识别了驱动瘤生长的特定基因,为癌症治疗提供了新的治疗点.
科学领域:
- 计算生物学是一种计算生物学.
- 癌症研究 癌症研究
- 系统生物学 系统生物学
背景情况:
- 癌细胞与瘤微环境 (TME) 之间的相互作用影响瘤进展和耐药性.
- 控制这些TME相互作用的基因组机制尚不清楚,这阻碍了治疗点的识别.
- 目前的理解缺乏对参与瘤-TME交叉通话的高阶基因组网络的全面了解.
研究的目的:
- 开发和应用一个结合进化游戏理论,生态系统理论和全米缩放规律的计算模型.
- 绘制瘤细胞,TME和瘤质量之间的高阶相互作用网络的基因组图谱.
- 确定基因诱导的瘤-TME交叉对瘤生长的因果影响,并发现可操作的遗传标.
主要方法:
- 进化游戏理论和生态系统理论的整合.
- 在复杂的生物系统模型中应用全米缩放定律.
- 开发一个计算模型来分析来自瘤-TME相互作用的基因组数据.
- 评估基因诱导的交叉声影响瘤生长动态.
主要成果:
- 该模型成功地绘制了瘤微环境中的基因组相互作用网络.
- 瘤细胞和微环境组件之间的合作和竞争被证明可以调节瘤生长.
- 通过TME交叉声识别了负责促进或抑制瘤生长的特定基因.
- 这些发现突出了针对这些基因改变瘤进展的潜力.
结论:
- 一个新的计算框架可以精确推断瘤-TME相互作用的基因组基础.
- 该模型提供了一种分析任何omics数据的方法,以了解瘤进展.
- 鉴定的基因通过改变瘤-TME交叉声调节瘤生长的潜在治疗标.
- 这种方法通过剖析复杂的细胞相互作用,为精密瘤学开辟了新的途径.
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