Geon-woo Shin
Seoul National University · 生化学・遺伝学・分子生物学
研究室紹介
Professor Geon-woo Shin's research lab focuses on epithelial cell biology, with a central emphasis on the molecular mechanisms underlying cell polarity, tight junction dynamics, and their roles in development, wound healing, and cancer. The lab integrates advanced organoid models, machine learning, and high-resolution imaging to study intratumoral heterogeneity and identify predictive biomarkers for personalized cancer therapy. Key research directions include the function of polarity proteins such as PATJ, PALS1, and Crumbs in epithelial organization and directional migration, as well as the application of 3D organoid systems to model human diseases and drug responses.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The tight junction is an intracellular junctional structure that mediates adhesion between epithelial cells and is required for epithelial cell function. Tight junctions control paracellular permeability across epithelial cell sheets and also serve as a barrier to intramembrane diffusion of components between a cell's apical and basolateral membrane domains. Recent genetic and biochemical studies in invertebrates and vertebrates indicate that tight junction proteins play an important role in the
Recent studies have revealed an important role for tight junction protein complexes in epithelial cell polarity. One of these complexes contains the apical transmembrane protein, Crumbs, and two PSD95/discs large/zonula occludens domain proteins, protein associated with Lin seven 1 (PALS1)/Stardust and PALS1-associated tight junction protein (PATJ). Although Crumbs and PALS1/Stardust are known to be important for cell polarization, recent studies have suggested that Drosophila PATJ is not essent
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. However, current machine-learning-based predictions of drug response often fail to identify robust translational biomarkers from preclinical models. Here, we present a machine-learning framework to identify robust drug biomarkers by taking advantage of network-based analyses using pharmacogenomic data derived from three-dimensional organoid culture models. The
Directional migration is important in wound healing by epithelial cells. Recent studies have shown that polarity proteins such as mammalian Partitioning-defective 6 (Par6), atypical protein kinase C (aPKC) and mammalian Discs large 1 (Dlg1) are crucial not only for epithelial apico-basal polarity, but also for directional movement. Here, we show that the protein associated with Lin seven 1 (PALS1)-associated tight junction protein (PATJ), another evolutionarily conserved polarity protein, is als
Recent discoveries in stem cell and developmental biology have introduced a new era marked by the generation of in vitro models that recapitulate early mammalian development, providing unprecedented opportunities for extensive research in embryogenesis. Here, we present an overview of current techniques that model early mammalian embryogenesis, specifically noting models created from stem cells derived from two significant species: Homo sapiens, for its high relevance, and Mus musculus, a histor
Quantification of intratumoral heterogeneity is essential for designing effective therapeutic strategies in the age of personalized medicine. In this study, we used a piezoelectric inkjet printer to enable analysis of intratumoral heterogeneity in a bladder cancer for the first time. Patient-derived tumor organoids were dissociated into single cell suspension and used as a bioink. The individual cells were precisely allocated into a microwell plate by drop-on-demand inkjet printing without any a
Prostate cancer (PC) is the most frequently diagnosed malignancy among men and contributes significantly to cancer-related mortality. While recent advances in in vitro PC modeling systems have been made, there remains a lack of robust preclinical models that faithfully recapitulate the genetic and phenotypic characteristics across various PC subtypes-from localized PC (LPC) to castration-resistant PC (CRPC)-along with associated stromal cells. Here, we established human PC assembloids from LPC a
Studying human biology has been challenging with conventional animal models or two-dimensional (2D) cultured cell lines. Recent advances in stem cell biology have made it possible to culture stem cells in vitro, leading to the establishment of in vitro three-dimensional (3D) organ-like structures known as organoids. Organoids are self-organizing 3D miniature tissues that mimic the tissue architecture and functionality of in vivo counterparts. Currently, organoids can be established for multiple
Abstract Self‐organizing brain organoids provide a promising tool for studying human development and disease. Here we created human forebrain organoids with stable and homogeneous expression of channelrhodopsin‐2 (ChR2) by generating AAVS1 safe harbor locus‐targeted, ChR2 knocked‐in human pluripotent stem cells (hPSCs), followed by the differentiation of these genetically engineered hPSCs into forebrain organoids. The resulting ChR2‐expressing human forebrain organoids showed homogeneous cellula