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基于综合通路网络检测血管生成的特征亚通路网络。

Detection of characteristic sub pathway network for angiogenesis based on the comprehensive pathway network.

机构信息

MOE Key Laboratory of Bioinformatics and Bioinformatics Div, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, PR China.

出版信息

BMC Bioinformatics. 2010 Jan 18;11 Suppl 1(Suppl 1):S32. doi: 10.1186/1471-2105-11-S1-S32.

Abstract

BACKGROUND

Pathways in biological system often cooperate with each other to function. Changes of interactions among pathways tightly associate with alterations in the properties and functions of the cell and hence alterations in the phenotype. So, the pathway interactions and especially their changes over time corresponding to specific phenotype are critical to understanding cell functions and phenotypic plasticity.

METHODS

With prior-defined pathways and incorporated protein-protein interaction (PPI) data, we counted PPIs between corresponding gene sets of each pair of distinct pathways to construct a comprehensive pathway network. Then we proposed a novel concept, characteristic sub pathway network (CSPN), to realize the phenotype-specific pathway interactions. By adding gene expression data regarding a given phenotype, angiogenesis, active PPIs corresponding to stimulation of interleukin-1 (IL-1) and tumor necrosis factor alpha (TNF-alpha) on human umbilical vein endothelial cells (HUVECs) respectively were derived. Two kinds of CSPN, namely the static or the dynamic CSPN, were detected by counting active PPIs.

RESULTS

A comprehensive pathway network containing 37 signalling pathways as nodes and 263 pathway interactions were obtained. Two phenotype-specific CSPNs for angiogenesis, corresponding to stimulation of IL-1 and TNF-alpha on HUVEC respectively, were addressed. From phenotype-specific CSPNs, a static CSPN involving interactions among B cell receptor, T cell receptor, Toll-like receptor, MAPK, VEGF, and ErbB signalling pathways, and a dynamic CSPN involving interactions among TGF-beta, Wnt, p53 signalling pathways and cell cycle pathway, were detected for angiogenesis on HUVEC after stimulation of IL-1 and TNF-alpha respectively. We inferred that, in certain case, the static CSPN maintains related basic functions of the cells, whereas the dynamic CSPN manifests the cells' plastic responses to stimulus and therefore reflects the cells' phenotypic plasticity.

CONCLUSION

The comprehensive pathway network helps us realize the cooperative behaviours among pathways. Moreover, two kinds of potential CSPNs found in this work, the static CSPN and the dynamic CSPN, are helpful to deeply understand the specific function of HUVEC and its phenotypic plasticity in regard to angiogenesis.

摘要

背景

生物系统中的途径通常相互合作以发挥功能。途径间相互作用的变化与细胞的特性和功能的改变紧密相关,进而与表型的改变相关。因此,途径相互作用,尤其是与特定表型相对应的随时间的变化,对于理解细胞功能和表型可塑性至关重要。

方法

使用预先定义的途径和纳入的蛋白质-蛋白质相互作用(PPI)数据,我们计算了每对不同途径的相应基因集之间的 PPI,以构建一个全面的途径网络。然后,我们提出了一个新的概念,即特征子途径网络(CSPN),以实现表型特异性途径相互作用。通过添加关于给定表型的基因表达数据,分别获得了人脐静脉内皮细胞(HUVEC)中白细胞介素-1(IL-1)和肿瘤坏死因子α(TNF-α)刺激下的活性 PPI。通过计算活性 PPI,检测到两种 CSPN,即静态或动态 CSPN。

结果

获得了一个包含 37 个信号通路作为节点和 263 个途径相互作用的全面途径网络。解决了分别对应于 HUVEC 中 IL-1 和 TNF-α刺激的血管生成的两种表型特异性 CSPN。从表型特异性 CSPN 中,我们检测到了分别对应于 HUVEC 中 IL-1 和 TNF-α刺激的血管生成的静态 CSPN,涉及 B 细胞受体、T 细胞受体、Toll 样受体、MAPK、VEGF 和 ErbB 信号通路之间的相互作用,以及动态 CSPN,涉及 TGF-β、Wnt、p53 信号通路和细胞周期途径之间的相互作用。我们推断,在某些情况下,静态 CSPN 维持细胞的相关基本功能,而动态 CSPN 则表现出细胞对刺激的可塑性反应,因此反映了细胞的表型可塑性。

结论

全面的途径网络帮助我们实现了途径之间的协同行为。此外,我们在这项工作中发现的两种潜在的 CSPN,即静态 CSPN 和动态 CSPN,有助于深入了解 HUVEC 的特定功能及其在血管生成方面的表型可塑性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9482/3009504/51a8b10c48ba/1471-2105-11-S1-S32-1.jpg

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