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The 19th KOGO Winter Symposium 심포지엄

 

2023.02.01(수)
12:00 등록 및 Check In
Grand Ballroom I Grand Ballroom II
13:00-14:40(100')  Session 1  Organizer: 노재석(연세대학교)
 Chair: 박종훈(숙명여대)
13:00-14:40(100')  Session 2  Organizer: 배진우(경희대학교)
                고아라(POSTECH)
 Chair: 허광래(충남대학교)
   Lessons from Human Cancer Genome    Current Trends in the Microbiome Research
13:00-13:25(25')  

 김문종(가천대학교)

13:00-13:20(20')  Intestinal degradation of trimethylamine by a novel gut bacterium reduces blood level of trimethylamine N-oxide, a risk factor for cardiovascular disease  윤상선(연세대학교)
13:25-13:50(25')    남석우(가톨릭대학교) 13:20-13:40(20')  Metagenomic perspective in manipulating the human skin microbiome  설우준(중앙대학교)
13:50-14:15(25')    정재호(연세대학교) 13:40-14:00(20')  Improvement of brain functions by modulating the gut-brain axis following kimchi or kimchi-probiotics intake  최학종(세계김치연구소)
14:15-14:40(25')    김종일(서울대학교) 14:00-14:20(20')  Microbiota-induced vitamin A transport and its role in the intestinal immunity  방예지(서울대학교)

    14:20-14:40(20')  Recording biological surroundings from within  임성순(KAIST)
14:40-15:00(20') Coffee Break
15:00-15:10(10') * Opening Ceremony
15:10-16:00(50') * Plenary Lecture I  Chair: 박웅양(삼성서울병원)
Hierarchical Structural Component Models for Pathway Analysis  박태성(서울대학교)
16:00-16:20(20') Coffee Break
16:20-18:00(100')  Session 3  Organizer: 김락균(연세대학교)
 Chair: 김태경(POSTECH)
16:20-18:00(100')  Session 4  Organizer: 김상철(국립보건연구원)
 Chair: 박현영(국립보건연구원)
   Recent Advances in Epigenomics    Application of Multiomics Study on COVID 19
16:20-16:45(25')    박현성(서울시립대학교) 16:20-16:30(10')    김상철(국립보건연구원)
16:45-17:10(25')  DBC1 is a key positive regulator of enhancer epigenomic writers KMT2D and p300  김정훈(성균관대학교) 16:30-16:50(20')    박웅양(삼성서울병원)
17:10-17:35(25')  DNA methylome and single-cell transcriptome analyses reveal CDA as a potential druggable target for ALK inhibitor–resistant lung cancer therapy  김미랑(KRIBB)

16:50-17:10(20')

 

   조남혁(서울의대)
17:35-18:00(25')    김승균(충남대학교) 17:10-17:30(20')    최정균(KAIST)
      17:30-17:50(20')  Time-course multi-omics data analysis for detecting severity related biomarkers in COVID-19 patients  정인욱(경북대학교)
      17:50-18:00(10')  패널토의  패널