Data/hora: 10/06/2024 15:02:06

Provedor de dados: | Brazilian Journal of Medical and Biological Research
País: | Brazil
Título: | Excavation of attractor modules for nasopharyngeal carcinoma via integrating systemic module inference with attract method
Autores: | Jiang,T.; Jiang,C.-Y.; Shu,J.-H.; Xu,Y.-J.
Data: | 2017-01-01
Ano: | 2017
Palavras-chave: | Nasopharyngeal carcinoma; Protein-protein interaction; Attract; Module; Cell division.
Resumo: | The molecular mechanism of nasopharyngeal carcinoma (NPC) is poorly understood and effective therapeutic approaches are needed. This research aimed to excavate the attractor modules involved in the progression of NPC and provide further understanding of the underlying mechanism of NPC. Based on the gene expression data of NPC, two specific protein-protein interaction networks for NPC and control conditions were re-weighted using Pearson correlation coefficient. Then, a systematic tracking of candidate modules was conducted on the re-weighted networks via cliques algorithm, and a total of 19 and 38 modules were separately identified from NPC and control networks, respectively. Among them, 8 pairs of modules with similar gene composition were selected, and 2 attractor modules were identified via the attract method. Functional analysis indicated that these two attractor modules participate in one common bioprocess of cell division. Based on the strategy of integrating systemic module inference with the attract method, we successfully identified 2 attractor modules. These attractor modules might play important roles in the molecular pathogenesis of NPC via affecting the bioprocess of cell division in a conjunct way. Further research is needed to explore the correlations between cell division and NPC.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2017000800602
Editor: | Associação Brasileira de Divulgação Científica
Relação: | 10.1590/1414-431x20176416
Formato: | text/html
Fonte: | Brazilian Journal of Medical and Biological Research  v.50 n.8 2017
Fonte: | info:eu-repo/semantics/openAccess