Minsoo Noh
서울대학교 약학대학 · 의학
민수오 교수의 연구실은 피부질환의 분자 기전 규명과 신약 타겟 발굴을 중심으로, 유전자 발현 분석과 세포 신호전달 메커니즘을 기반으로 한 전임상 연구를 수행하고 있습니다. 특히 키라티노사이트와 피부유도세포, 간엽줄기세포 등 다양한 피부세포 모델을 활용해 면역세포 사이토카인, PPAR 수용체, 아디포넥틴 등 핵심 분자들이 피부 병변에 미치는 영향을 체계적으로 분석하고 있습니다. 또한, 유전자 서열 기반의 생물정보학적 접근과 함께, 생물학적 시스템의 복잡한 상호작용을 정량적으로 분석하기 위한 통계적 모델링 기법도 함께 응용하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
In the meta-analysis of public microarray databases for different skin diseases, we revealed seven commonly up-regulated genes, DSG3, KRT6, MAP17, PLSCR1, RPM2, SOD2 and SPRR2B. We postulated that the genes selected from the meta-analysis may be potentially associated with the abnormal keratinocyte differentiation. To demonstrate this postulation, we alternatively evaluated whether the genes of interest in the meta-analysis can be regulated by T-helper (Th) cell cytokines in normal human epiderm
The therapeutic potential of adiponectin regulation has received interest because of its association with diverse human disease conditions, such as diabetes, obesity, atherosclerosis, and cancer. Phenylethylchromone derivatives from Aquilaria malaccensis-derived agarwood promoted adiponectin secretion during adipogenesis in human bone marrow mesenchymal stem cells, and 5,6-dihydroxy-2-(2-phenylethyl)chromone (1) was identified as a new chromone derivative. A target identification study with the
In biometrical genetic analyses of binary traits, the use of family data overcomes some limitations of twin studies, particularly in terms of sample size and types of genetic or environmental factors that can be estimated. However, because of computational problems, recent methods in the application of generalized linear mixed models for family data structure have limited the ability to handle large data sets with general covariates. In this paper, we investigate the use of the hierarchical like
