网络建模和分析MAP激酶通路,以评估基因在瘤发育中的作用
Anil Koundal1, Deepak Sharma1,2
1Computational Biology and Translational Bioinformatics (CBTB) Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Physical biology
|November 28, 2025
概括
癌症途径的计算建模揭示了新的见解. DUSP1淘汰会促进亡,表明治疗潜力,而MYC过度表达会激活抗生长通路.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 癌症研究 癌症研究
背景情况:
- 由于复杂的病因,癌症仍然是一个重大的健康挑战.
- 计算建模提供了一种方法来整合各种数据来理解恶性瘤.
- 线素激活蛋白激酶 (MAPK) 途径在细胞信号传递和癌症中至关重要.
研究的目的:
- 开发和验证一个MAPK路径的离散动态网络模型.
- 研究特定基因,如DUSP1和MYC在癌症相关过程中的作用.
- 探索计算模型在识别治疗点方面的潜力.
主要方法:
- 构建一个MAPK路径的66节点,95边的离散动态网络模型.
- 包括五个输入信号 (法斯连接体,DNA损伤,胰岛素,TNF-α,TGF-β) 和三个输出节点 (增殖,亡,生长停止).
- 模拟使用随机异步更新和in silico节点扰动进行模型验证.
主要成果:
- 模型模拟和扰动准确地反映了基因淘汰和表达研究的文献发现.
- DUSP1淘汰,在胰岛素和DNA损伤信号下,普遍增强了细胞亡,表明具有促癌作用.
- 发现MYC过度表达通过p14和MDM2通路激活p53 (一种抗生长剂).
结论:
- 经过验证的计算模型为了解癌症病因学提供了一个精确的工具.
- 在特定的信号环境中,DUSP1扮演着亲子亡的角色,这表明其作为治疗点的潜力.
- MYC在调节细胞增殖中的作用包括激活p53抗生长通路.
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