Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample

Author(s):
Majid Rezaei TaviraniMajid Rezaei Tavirani, Reza VafaeiReza Vafaei, Vahid MansouriVahid Mansouri, Mona Zamanian AzodiMona Zamanian AzodiMona Zamanian Azodi ORCID,*
*Corresponding Author: Email: [email protected]

Koomesh:Vol. 19, issue 3; 577-583
Published online:Sep 02, 2017
Article type:Research Article
Received:Jul 01, 2016
Accepted:Jan 02, 2017
How to Cite: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):e152903. doi:

Abstract

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

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Copyright

© 2017, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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