College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China.
BMC Bioinformatics. 2010 Jul 22;11:392. doi: 10.1186/1471-2105-11-392.
Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological functions in their network neighbouring regions.
Here, we weighted edges of a human protein interaction network and a transcriptional regulatory network to construct an integrated network, and introduce a probabilistic model and a bipartite graph framework to exploit human co-regulated modules and uncover their specific features in packaging different biological entities (genes, protein complexes or metabolic pathways). Finally, we identified 96 human co-regulated modules based on this method, and evaluate its effectiveness by comparing it with four other methods.
Dysfunctions in co-regulated interactions often occur in the development of cancer. Therefore, we focussed on an example co-regulated module and found that it could integrate a number of cancer-related genes. This was extended to causal dysfunctions of some complexes maintained by several physically interacting proteins, thus coordinating several metabolic pathways that directly underlie cancer.
人们认为网络共同调控模块具有将多个生物实体打包的功能，因此可以假设它们在网络邻近区域协调许多生物功能。
在这里，我们对人类蛋白质相互作用网络和转录调控网络的边进行加权，构建了一个综合网络，并引入了一个概率模型和一个二分图框架，以利用人类共同调控模块并揭示它们在包装不同生物实体（基因、蛋白质复合物或代谢途径）方面的特定特征。最后，我们基于此方法鉴定了 96 个人类共同调控模块，并通过与其他四种方法进行比较来评估其有效性。
共同调控相互作用的功能障碍通常发生在癌症的发展过程中。因此，我们专注于一个示例共同调控模块，并发现它可以整合许多与癌症相关的基因。这一发现扩展到了由几个物理相互作用的蛋白质维持的几个复合物的因果功能障碍，从而协调了直接导致癌症的几个代谢途径。
