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Global riactice Leader's in Brain Science

11/27 (Wed) 16:00 Special Seminar
Name : 관리자 | Date : 2019.11.25 10:09 | Views : 477

Title: Identification of neuroimmune gene networks for major depressive disorder by brain transcriptome analysis

Speaker: Hyo Jung Kang, Ph.D. (Department of Life Science, Chung-Ang University) (Host : Cheil Moon)

Time: 16:00, November 27 (Wed), 2019
        

Venue: Room 236, Building E7, DGIST

Abstract :Major depressive disorder (MDD) is the most common psychiatric disorder, affecting 350 million people worldwide. According to the WHO, it is expecte d to become the second greatest cause of illness by 2020. Thus, as the social burden continues to increase worldwide, the need to study the causes and treatment of major depression has been rapidly growing. MDD causes severe symptoms showing complicated mo dality, which affects how you feel, thinks, and handles daily activities, such as sleeping, eating or working. With this clinical heterogeneous features, investigation of the molecular mechanisms underlying major depression has been hampered by the complex ity of brain tissue and sensitivity of gene expression profiling approaches. In the present study, to address these issues, we conducted multiple region whole transcriptome analyses employing RNA sequencing in the postmortem human brain tissue of MDD and m atched controls. When we quantified gene expression, the analyzed data showed distinct regional and cellular patterns. Bioinformatics analysis revealed that transcriptional characteristics of biological processes affected differentially by the brain region s. In particular, weighted gene co expression network analysis (WGCNA) revealed co regulated genes associated with key biological processes previously implicated in neurobiological dysfunction in MDD such as transcriptional regulation, chromatin organizati on, ion transport, synaptic vesicle membrane, cell communication, and immune activation. In addition, we have identified a noteworthy target gene associated with key neuroimmune activation processes that are not well characterized in MDD.

 

Person in charge : BoGyu Jang

Contact: jangbk87@dgist.ac.kr, 053)785-6101

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