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:: Volume 19, Number 3 ( Summer 2017, 19 (3). 505-711 2017) ::
koomesh 2017, 19(3): 577-583 Back to browse issues page
Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample
Majid Rezaei Tavirani, Reza Vafaei, Vahid Mansouri, Mona Zamanian Azodi *
Abstract:   (682 Views)

Introduction: As the major depression disorder (MDD) is one of the prevalent psychiatric conditions, molecular characteristic is important to gain a better understanding of its complex nature. In this study, the protein-protein interaction network analysis is carried out in order to have a better understanding the molecular mechanism of MDD.

Materials and Methods: The MDD differentially expressed proteins of cerebral fluid were extracted from the literature. Cytoscape Software was used for the network construction of 39 retrieved proteins. In addition, Cytoscape plug-ins, MCODE and ClueGO+CluePedia identified the protein complexes and biological processes, respectively.

Results: The MDD map centrality analysis identified 15 hub proteins. This network comprises of four protein complexes and seven significant biological processes.

Conclusion: In this study, some of the central proteins, protein complexes, and biological processes related to MDD are introduced. The further investigations can help validating possible drug targets and diagnostic biomarkers

Keywords: Major Depression Disorder, Protein Interaction Maps, Protein Complex, Gene Ontology
Full-Text [PDF 685 kb]   (99 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/07/16 | Accepted: 2017/01/23 | Published: 2017/06/21
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Rezaei Tavirani M, Vafaei R, Mansouri V, Zamanian Azodi M. Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample. koomesh. 2017; 19 (3) :577-583
URL: http://koomeshjournal.semums.ac.ir/article-1-3435-en.html
Volume 19, Number 3 ( Summer 2017, 19 (3). 505-711 2017) Back to browse issues page
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