Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks

Background: 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. Results: 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. Conclusions: 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...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Lina Chen, Hong Wang, Liangcai Zhang, Wan Li, Qian Wang, Yukui Shang, Yuehan He, Weiming He, Xu Li, Jingxie Tai, Xia Li
• Keywords: Biological Entities, BMCBI 2010, Human Co-regulated Modules, Transcriptional Regulatory Networks