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9/12 (Wed) 14:00 Special Seminar
Name : 관리자 | Date : 2018.09.10 11:50 | Views : 1390

Title: Multidimensional secretomic analysis for understanding diseases


Speaker: Jong Hyuk Yoon, Ph.D., Korea Brain Research Institute (Host : Yong-Seok Oh)


Time: 14:00, September 12 (Wed), 2018
        

Venue: Room 114, Building E4, DGIST


Abstract : Secretory factors are essential to transduce signals from one locale to another to coordinate their activities. Therefore secretory factors are broadly involved in aspects of biological regulation and diagnostics of disease. Proteomics of secretome (secretomics) is a promising strategy to find good candidates of body fluid-accessible biomarker/therapeutic targets. Diagnostics of Alzheimer’s disease is still difficult by using clinically available methods such as clinical exams and amyloid plaque imaging. Extracellular vesicles (EVs) have been focused as fascinating targets since they contains signaling proteins, lipids and nucleic acids but there is less report about blood EVs because of difficulty in analysis for contents profiling. To target and reveal the vesicular contents of blood plasma vesicles released in Alzheimer’s plaque containing brain, we combined multidimensional proteomics and informatics tools for profiling of plamsa EVs in the TG6799 Alzheimer’s mouse model. We identified TG6799 specifically changed plasma EV proteins according to reliable label-free quantitative proteomic analysis. Based on subsequent informatics and biochemical experiments, we selected the AD protein biomarker candidates. We finally validated those AD protein biomarker candidates using human specimens. We also profiled the secretory proteins affected by oleate known as a proliferative factor for cancer. We performed a comprehensive secretome profiling of oleate-treated and untreated HepG2 cells. The functional enrichment and network analysis of the DSPs (differentially secreted proteins) revealed that the upregulated secreted proteins by oleate treatment were mainly associated with cell proliferation-related processes, such as lipid metabolism, inflammatory response, and ER stress. Based on the network modeling, we selected DSPs that can represent such processes related to cell proliferation. Thus, our results provided a secretome profile indicative of an oleate-induced proliferation of HepG2 cells.

 

Person in charge : Sora, Lee


Contact: srlee@dgist.ac.kr, 053)785-6102

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png 관리자 2019.02.19 3,588
125 pdf 관리자 2019.01.25 1,653
124 pdf 관리자 2019.01.24 793
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121 pdf 관리자 2018.12.06 892
120 pdf 관리자 2018.11.20 857
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114 pdf 관리자 2018.10.10 1,328
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