Young Tae Kim
Seoul National University · 医学
研究室紹介
Professor Young Tae Kim's research lab specializes in biomedical engineering and translational life sciences, focusing on developing advanced in vitro models for human diseases, particularly in respiratory and neurological systems. The lab integrates bioengineering platforms—such as 3D organoid cultures, microfluidic devices, and spatial transcriptomics—with cutting-edge imaging and omics technologies to study viral pathogenesis, tumor heterogeneity, and neural regeneration. A key emphasis is on creating physiologically relevant models to accelerate drug discovery and precision medicine. The lab also explores beneficial microbes and biomaterials for therapeutic applications.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the cause of a present pandemic, infects human lung alveolar type 2 (hAT2) cells. Characterizing pathogenesis is crucial for developing vaccines and therapeutics. However, the lack of models mirroring the cellular physiology and pathology of hAT2 cells limits the study. Here, we develop a feeder-free, long-term, three-dimensional (3D) culture technique for hAT2 cells derived from primary human lung tissue and investigate infe
Quantitative imaging using radiomics can capture distinct phenotypic differences between tumors and may have predictive power for certain phenotypes according to specific genetic mutations. We aimed to identify the clinicoradiologic predictors of tumors with ALK (anaplastic lymphoma kinase), ROS1 (c-ros oncogene 1), or RET (rearranged during transfection) fusions in patients with lung adenocarcinoma.A total of 539 pathologically confirmed lung adenocarcinomas were included in this retrospective
The purpose of this study was to investigate lactic acid bacteria with antioxidative and probiotic activities isolated from Korean healthy infant feces and kimchi. Isolates A1, A2, S1, S2, and S3 were assigned to Lactobacillus sp. and isolates A3, A4, E1, E2, E3, and E4 were assigned to Leuconostoc sp. on the basis of their physiological properties and 16S ribosomal DNA sequence analysis. Most strains were confirmed as safe bioresources through nonhemolytic activities and non-production of harmf
We describe a neuro-optical microfluidic platform for studying injury and subsequent regeneration of individual mammalian axons. This platform consists of three components integrated on an inverted microscope, which include a compartmentalized neuronal culture microfluidic device, a femtosecond laser to enable precise axotomy, and a custom built mini cell culture incubator for continuous long term observation of post injury events. We demonstrate the unique capabilities of the platform by injuri
Solvent-casting and particulate leaching are widely used in the manufacturing of porous polymer scaffolds. Salt is the most commonly used particulate because it is easily available and very easy to handle. Gelatin particles are another candidate for this method because they are known as a material that enhances cell attachment and proliferation. In this study, we compared the biocompatibility of the two scaffolds made from either salt (salt scaffold) or gelatin particles (gelatin scaffold). Siev
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
Abstract Characterizing the molecular immune subtype and micro-environment of lung cancer is necessary to understand immunogenic interactions between infiltrating immune and stromal cells, and how tumor cells overcome immune checkpoint blockades. This study seeks to identify computational methodologies for subtyping gene expression-based tumor-immune micro-environment interactions, which differentiate non-small cell lung cancer (NSCLC) into immune-defective and immune-competent subtypes. Here, 1