Polouliakh Natalia, Nock Richard, Nielsen Frank, Kitano Hiroaki
Sony Computer Science Laboratories Inc., Tokyo, Japan.
PLoS One. 2009;4(1):e4189. doi: 10.1371/journal.pone.0004189. Epub 2009 Jan 14.
A series of recent studies on large-scale networks of signaling and metabolic systems revealed that a certain network structure often called "bow-tie network" are observed. In signaling systems, bow-tie network takes a form with diverse and redundant inputs and outputs connected via a small numbers of core molecules. While arguments have been made that such network architecture enhances robustness and evolvability of biological systems, its functional role at a cellular level remains obscure. A hypothesis was proposed that such a network function as a stimuli-reaction classifier where dynamics of core molecules dictate downstream transcriptional activities, hence physiological responses against stimuli. In this study, we examined whether such hypothesis can be verified using experimental data from Alliance for Cellular Signaling (AfCS) that comprehensively measured GPCR related ligands response for B-cell and macrophage. In a GPCR signaling system, cAMP and Ca2+ act as core molecules. Stimuli-response for 32 ligands to B-Cells and 23 ligands to macrophages has been measured. We found that ligands with correlated changes of cAMP and Ca2+ tend to cluster closely together within the hyperspaces of both cell types and they induced genes involved in the same cellular processes. It was found that ligands inducing cAMP synthesis activate genes involved in cell growth and proliferation; cAMP and Ca2+ molecules that increased together form a feedback loop and induce immune cells to migrate and adhere together. In contrast, ligands without a core molecules response are scattered throughout the hyperspace and do not share clusters. G-protein coupling receptors together with immune response specific receptors were found in cAMP and Ca2+ activated clusters. Analyses have been done on the original software applicable for discovering 'bow-tie' network architectures within the complex network of intracellular signaling where ab initio clustering has been implemented as well. Groups of potential transcription factors for each specific group of genes were found to be partly conserved across B-cell and macrophage. A series of findings support the hypothesis.
最近一系列关于信号传导和代谢系统大规模网络的研究表明,常被称为“蝴蝶结网络”的特定网络结构是可以观察到的。在信号传导系统中,蝴蝶结网络呈现出一种形式,即通过少量核心分子连接多样且冗余的输入和输出。尽管有人认为这种网络架构增强了生物系统的稳健性和可进化性,但其在细胞水平的功能作用仍不清楚。有人提出一种假设,即这样的网络作为刺激 - 反应分类器发挥作用,其中核心分子的动态决定下游转录活动,从而决定对刺激的生理反应。在本研究中,我们检验了是否可以使用来自细胞信号联盟(AfCS)的实验数据来验证这一假设,该联盟全面测量了B细胞和巨噬细胞中GPCR相关配体的反应。在GPCR信号传导系统中,cAMP和Ca2+作为核心分子。已测量了32种配体对B细胞和23种配体对巨噬细胞的刺激 - 反应。我们发现,cAMP和Ca2+变化相关的配体在两种细胞类型的超空间内往往紧密聚集在一起,并且它们诱导参与相同细胞过程的基因。发现诱导cAMP合成的配体激活参与细胞生长和增殖的基因;共同增加的cAMP和Ca2+分子形成一个反馈环,并诱导免疫细胞迁移和聚集在一起。相比之下,没有核心分子反应的配体分散在整个超空间中,不形成簇。在cAMP和Ca2+激活的簇中发现了G蛋白偶联受体以及免疫反应特异性受体。我们还对适用于在细胞内信号复杂网络中发现“蝴蝶结”网络架构的原始软件进行了分析,其中也实施了从头聚类。发现每组特定基因潜在的转录因子组在B细胞和巨噬细胞中部分保守。一系列发现支持了这一假设。