Abstract:
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 causal dysfunctions of some complexes maintained by several physically interacting proteins, thus coordinating several metabolic pathways that directly underlie cancer.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Chen L,Wang H,Zhang L,Li W,Wang Q,Shang Y,He Y,He W,Li X,Tai J,Li Xdoi
10.1186/1471-2105-11-392subject
Has Abstractpub_date
2010-07-22 00:00:00pages
392issn
1471-2105pii
1471-2105-11-392journal_volume
11pub_type
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