使用时间数据,对调节内皮膜屏障完整性的酶光信号网络进行系统级的重建
Ling Wei1, John D Aitchison2,3,4, Alexis Kaushansky2,3,5
1Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, 98109, USA. ling.wei@seattlechildrens.org.
NPJ systems biology and applications
|November 15, 2024
概括
我们开发了两个计算方法,即临时路径合成器 (TPS) 和临时解决的基因酶网络生成 (TREKING),用于绘制蜂信号网络的地图. 这两种策略都确定了调节细胞屏障的关键激酶,在生物研究中具有广泛的适用性.
科学领域:
- 细胞生物学 细胞生物学
- 生物化学 生物化学
- 计算生物学是一种计算生物学.
背景情况:
- 信号网络对于调节细胞功能至关重要.
- 了解酶介导的调节网络对于破译细胞过程至关重要.
研究的目的:
- 在由血栓激素刺激的大脑内皮细胞中构建酶介导的调节网络.
- 为了比较两个不同的计算策略用于网络构建.
主要方法:
- 时间通路合成器 (TPS) 使用了蛋白质组学数据.
- 暂时REsolved KInase网络生成 (TREKING) 使用酶抑制器屏幕.
- 这两种方法都用于分析由血栓激发的大脑内皮细胞.
主要成果:
- TPS和TREKING预测了参与调节细胞屏障的重叠激酶.
- 每个策略都为已识别的酶揭示了独特的网络拓.
- 计算方法在描述监管信号方面表现出有效性.
结论:
- 两个不同的计算策略,TPS和TREKING,可以有效地绘制酶介导的调节网络.
- 这些网络对于理解细胞过程至关重要,例如屏障调节.
- 开发的方法在各种生物系统中广泛适用于信号网络分析.
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