Seoul National University · Engineering
Professor Sungwoo Bae's research lab specializes in the integration of multi-omics data and medical imaging to decode the spatial organization of cells and tissues. The lab develops advanced computational and deep learning methods to bridge single-cell and spatial transcriptomics, enabling precise cell type deconvolution and morphological context analysis in complex tissues. A key focus is on applying quantitative molecular imaging—particularly SPECT/CT with radiotracers like Tc-99m MDP and DPD—for objective biomarker discovery in skeletal and cardiac diseases. The lab also pioneers AI-driven approaches to decode gene expression patterns linked to tissue architecture, advancing precision diagnostics in oncology and neurodegenerative disorders.
Figures are computed from collected data and may differ slightly.
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
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