Excavation of attractor modules for nasopharyngeal carcinoma via integrating systemic module inference with attract method

Autor: J.-H. Shu, Chengyi Jiang, Tao Jiang, Yajia Xu
Rok vydání: 2017
Předmět:
0301 basic medicine
Cell division
Physiology
Computer science
0206 medical engineering
Immunology
Biophysics
Gene regulatory network
Nasopharyngeal neoplasm
Inference
Ocean Engineering
02 engineering and technology
Computational biology
Bioinformatics
Biochemistry
03 medical and health sciences
Protein-protein interaction
Module
Protein Interaction Mapping
Attractor
otorhinolaryngologic diseases
medicine
Humans
Gene Regulatory Networks
General Pharmacology
Toxicology and Pharmaceutics
lcsh:QH301-705.5
lcsh:R5-920
Nasopharyngeal Carcinoma
Mechanism (biology)
Gene Expression Profiling
General Neuroscience
Carcinoma
Molecular pathogenesis
Nasopharyngeal Neoplasms
Attract
Cell Biology
General Medicine
medicine.disease
Gene Expression Regulation
Neoplastic
Gene expression profiling
stomatognathic diseases
030104 developmental biology
lcsh:Biology (General)
Nasopharyngeal carcinoma
lcsh:Medicine (General)
020602 bioinformatics
Research Article
Zdroj: Brazilian Journal of Medical and Biological Research
Brazilian Journal of Medical and Biological Research, Vol 50, Iss 8
ISSN: 1414-431X
0100-879X
DOI: 10.1590/1414-431x20176416
Popis: 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.
Databáze: OpenAIRE
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