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  • Research Article   
  • J Neuropsychopharmacol Mental Health,
  • DOI: 10.4172/2472-095X.1000103

Gene Expression Analysis of Fibroblasts from Patients with Bipolar Disorder

Logotheti Marianthi1,2,3, Papadodima Olga2, Chatziioannou Aristotelis2, Venizelos Nikolaos1* and Kolisis Fragiskos3*
1Neuropsychiatric Research Laboratory, Faculty of Medicine and Health, School of Health and Medical Sciences, SE 701 82 Örebro University, , Sweden
2Metabolic Engineering and Bioinformatics Group, Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, , 11635 Athens, Greece
3Laboratory of Biotechnology, School of Chemical Engineering, National Technical University of Athens, 15780 Athens, Greece
*Corresponding Author (s) : Venizelos Nikolaos, Department of Clinical Medicine, School of Health and Medical Sciences, Örebro University, SE-701 82 Örebro, Sweden, Tel: + 46 19-30 10 28, Email: nikolaos.venizelos@oru.se
Kolisis Fragiskos, Biotechnology Laboratory Faculty of Chemical Engineering, National Technical University of Athens, 15780 Athens, Greece, Tel: +30 210 7723156, Email: kolisis@chemeng.ntua.gr

Received Date: Sep 25, 2015 / Accepted Date: Nov 16, 2015 / Published Date: Nov 23, 2015

Abstract

Bipolar disorder is a severe, lifelong psychiatric disease. The main underlying pathophysiology of the disease is still incomprehensible. Various studies have suggested that many genes of small impact in combination with environmental factors contribute to the expression of the disease. In this study comparative transcriptomic profiling to characterize skin fibroblasts’ gene expression of bipolar disorder patients compared to healthy controls has been performed. Skin fibroblast cells from bipolar disorder patients (n=10) and marched healthy controls (n=5) have been cultured. RNA was extracted and then hybridized onto Illumina Human HT-12 v4 Expression BeadChips. Differentially expressed genes between bipolar disorder samples and healthy controls were identified by performing unequal t-test on log 2 transformed expression values. The resulting gene list was obtained by setting the p-value threshold to 0.05 and by removing genes that presented a fold change ≥ |0.5| (in log 2 scale). We concluded to 457 differentially expressed genes. Among them 127 showed an upregulation and 330 were downregulated. Τhe expression alterations of selected genes were validated by quantitative real-time polymerase chain reaction. In order to derive better insight into the biological mechanisms related to the differentially expressed genes, the lists of significant genes were subjected to pathway analysis and target prioritization indicating various processes such as calcium ion homeostasis, positive regulation of apoptotic process and cellular response to retinoic acid.

Keywords: Skin fibroblasts, Bipolar disorder, Transcriptome, Psychiatric diseases, Pathway analysis, Microarrays

Citation: Logotheti M, Papadodima O, Chatziioannou A, Venizelos N, Kolisis F (2015) Gene Expression Analysis of Fibroblasts from Patients with Bipolar Disorder. J Neuropsychopharmacol Mental Health 1: 103. Doi: 10.4172/2472-095X.1000103

Copyright: © 2015 Logotheti M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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