Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample
| Author | Majid Rezaei Tavirani | en |
| Author | Reza Vafaei | en |
| Author | Vahid Mansouri | en |
| Author | Mona Zamanian Azodi | en |
| Orcid | Mona Zamanian Azodi [0000-0003-1894-5021] | en |
| Issued Date | 2017-09-30 | en |
| 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 | en |
| DOI | https://doi.org/ | en |
| URI | https://brieflands.com/journals/koomesh/articles/152903 | en |
| Keyword | Major Depression Disorder | en |
| Keyword | Protein Interaction Maps | en |
| Keyword | Protein Complex | en |
| Keyword | Gene Ontology | en |
| Keyword | اختلال افسردگی اساسی | en |
| Keyword | شبکه برهم کنش پروتئینی | en |
| Keyword | کمپلکس پروتئینی | en |
| Keyword | هستیشناسی ژن | en |
| Publisher | Brieflands | en |
| Title | Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample | en |
| Type | Research Article | en |
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