Hong-keun Lee
Seoul National University · Immunology and Microbiology
About the Lab
Professor Hong-keun Lee's research lab focuses on understanding the cellular and molecular mechanisms underlying immune regulation and neuroinflammation, with a particular emphasis on the roles of glial cells, dendritic cells, and T cells in autoimmune diseases and neurodegenerative disorders. The lab employs cutting-edge technologies such as single-cell genomics, CRISPR-Cas9 screening, and microfluidic droplet-based assays to dissect cell-cell communication and immune cell crosstalk in the central nervous system and peripheral immune system. Key research directions include the functional heterogeneity of astrocytes and microglia, the regulation of dendritic cell activity in autoimmunity, and the pathogenic potential of bystander-activated T cells in inflammatory diseases. The lab aims to identify novel therapeutic targets for conditions such as multiple sclerosis, cancer metastasis, and chronic neuroinflammation.
Research Overview
Research Output Trend
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Selected Papers
15Astrocytes are abundant glial cells in the central nervous system (CNS) that play active roles in health and disease. Recent technologies have uncovered the functional heterogeneity of astrocytes and their extensive interactions with other cell types in the CNS. In this Review, we highlight the intricate interactions between astrocytes, other CNS-resident cells, and CNS-infiltrating cells as well as their potential therapeutic value in the context of inflammation and neurodegeneration.
Dendritic cells (DCs) have a role in the development and activation of self-reactive pathogenic T cells1,2. Genetic variants that are associated with the function of DCs have been linked to autoimmune disorders3,4, and DCs are therefore attractive therapeutic targets for such diseases. However, developing DC-targeted therapies for autoimmunity requires identification of the mechanisms that regulate DC function. Here, using single-cell and bulk transcriptional and metabolic analyses in combinatio
Chitinase-3-like-1 (Chi3l1) is known to play a significant role in the pathogenesis of Type 2 inflammation and cancer. However, the function of Chi3l1 in T cell and its clinical implications are largely unknown. Here we show that Chi3l1 expression was increased in activated T cells, especially in Th2 cells. In addition, Chi3l1-deficient T cells are hyper-responsive to TcR stimulation and are prone to differentiating into Th1 cells. Chi3l1-deficient Th1 cells show increased expression of anti-tum
Abstract T cells are the central mediators of both humoral and cellular adaptive immune responses. Highly specific receptor-mediated clonal selection and expansion of T cells assure antigen-specific immunity. In addition, encounters with cognate antigens generate immunological memory, the capacity for long-term, antigen-specific immunity against previously encountered pathogens. However, T-cell receptor (TCR)-independent activation, termed “bystander activation”, has also been found. Bystander-a
Cell-cell interactions in the central nervous system play important roles in neurologic diseases. However, little is known about the specific molecular pathways involved, and methods for their systematic identification are limited. Here, we developed a forward genetic screening platform that combines CRISPR-Cas9 perturbations, cell coculture in picoliter droplets, and microfluidic-based fluorescence-activated droplet sorting to identify mechanisms of cell-cell communication. We used SPEAC-seq (s
Abstract T cells generate antigen-specific immune responses to their cognate antigen as a hallmark of adaptive immunity. Despite the importance of antigen-specific T cells, here we show that antigen non-related, bystander memory-like CD4 + T cells also significantly contribute to autoimmune pathogenesis. Transcriptome analysis demonstrates that interleukin (IL)-1β- and IL-23-prime T cells that express pathogenic T Η 17 signature genes such as RORγt, CCR6, and granulocyte macrophage colony-stimul
Nuclear factor of activated T cells (NFATs) is an important transcription factor for T cell activation and proliferation. Recent studies have highlighted the role of NFATs in regulating the differentiation of effector CD4 T helper (Th) subsets including Th1 and Th17 cells. Because controlling the effector T cell function is important for the treatment of autoimmune diseases, regulation of NFAT functions in T cells would be an important strategy to control the pathogenesis of autoimmune diseases.
As the model of most practical system cannot be obtained, the practice of typical control method is limited. Accordingly, numerous artificial intelligence control methods have been used widely. Fuzzy control and neural network control have been an important point in the developing process of the field. This paper is proposed adaptive fuzzy-neural network based on the vector controlled interior permanent magnet synchronous motor drive system. The fuzzy-neural network is first utilized for the spe
Summary Astrocytes play important roles in the central nervous system (CNS) physiology and pathology. Indeed, astrocyte subsets defined by specific transcriptional activation states contribute to the pathology of neurologic diseases, including multiple sclerosis (MS) and its pre-clinical model experimental autoimmune encephalomyelitis (EAE) 1–8 . However, little is known about the stability of these disease-associated astrocyte subsets, their regulation, and whether they integrate past stimulati
A precise control of induction motor over wide speed range is an engineering challenge. This paper considers the design and implementation of novel technique of speed estimation and control for induction motor using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of induction motor using adaptive neural network fuzzy(A-
Correction to: Experimental & Molecular Medicine (2020) 52 :1255-1263 https://doi.org/10.1038/s12276-020-00486-7 , published online 28 August 2020
Research Areas
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