Sungwoo Bae
서울대학교 의과대학 · 공학
Sungwoo Bae 교수의 연구실은 공간 분석 기반의 생물의학 이미징과 단세포 유전체 데이터 통합을 핵심으로 삼고 있습니다. 특히, 공간적 전사체 분석과 단세포 RNA 시퀀싱 데이터를 융합하여 조직 내 세포의 공간적 분포를 정량적으로 복원하는 인공지능 기반 분석 기법을 개발하고 있습니다. 이는 뇌, 폐, 뼈 등 다양한 조직에서 질병의 기전을 이해하고, 정량적 생물학적 생체마커를 도출하는 데 기여합니다. 연구는 임상 영상 기반 진단 및 개인 맞춤형 치료 전략 개발로 이어지는 응용 연구까지 확장되고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Propidium monoazide (PMA) was optimized to discriminate between viable and dead Bacteroides fragilis cells and extracellular DNA at different concentrations of solids using quantitative PCR. Conditions of 100 microM PMA and a 10-min light exposure also excluded DNA from heat-treated cells of nonculturable Bacteroidales in human feces and wastewater influent and effluent.
The ideal host-associated genetic fecal marker would be capable of predicting the presence of specific pathogens of concern. Flowthrough freshwater microcosms containing mixed feces and inocula of the pathogens Campylobacter jejuni, Salmonella enterica serovar Typhimurium, and adenovirus were placed at ambient temperature in the presence and absence of diurnal sunlight. The total Enterococcus DNA increased during the early periods (23 h) under sunlight exposure, even though cultivable Enterococc
Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a critical task to clarify the spatial context of cells in a tissue. In this study, we developed a method, CellDART, which estimates the spatial distribution of cells defined by single-cell level data using domain adaptation of neural networks and applied it to the spatial mapping of human lung tissue. The neural network that predicts the cell proportion in a pseudospot, a virtual mixture of cells from
The purpose of this study was (1) to identify the demographic and psychosocial characteristics of Korean-Americans with schizophrenia, and (2) to compare the demographic and psychosocial characteristics of Korean-Americans with schizophrenia to African-American, Latino, and Euro-American individuals with schizophrenia. Based on current models of psychosocial functioning in schizophrenia, four dimensions--clinical status, functional status, subjective experience, and community risk--were examined
Profiling molecular features associated with the morphological landscape of tissue is crucial for investigating the structural and spatial patterns that underlie the biological function of tissues. In this study, we present a new method, spatial gene expression patterns by deep learning of tissue images (SPADE), to identify important genes associated with morphological contexts by combining spatial transcriptomic data with coregistered images. SPADE incorporates deep learning-derived image patte
Rural households in developing countries rely on communal water supplies and household water frequently becomes contaminated following its collection, transportation and during its storage. Using culture-dependent and -independent techniques, we examined the changes in microbial water quality between communal tap water and household water storage in a rural area of Cameroon, Africa. The culturable fecal indicator bacteria (FIB) were used to assess the potential health risks associated with diffe
A family intervention model designed to meet the unique sociocultural needs of Asian-American schizophrenia patients and their families is proposed. This five-stage model consists of: preparation, engagement, psychoeducational (i.e., survivor skills) workshop, family sessions, and an ending stage. Guidelines and specific suggestions for implementing each of these stages are offered as a means of dealing effectively With Asian Americans' differential value orientations and cultural characteristic
Nucleic acid amplification-based methods are limited by their inability to discriminate between viable and dead cells. To overcome this drawback, propidium monoazide (PMA) combined with qPCR has been used to differentiate viable from nonviable cells in environmental samples. However, assessing bacterial physiology using PMA-qPCR remains a challenge due to its incapability of detecting metabolic activities, leading to overestimation of the viable bacteria population under an inactivation conditio