Duck Cho

Dr. Duck Cho


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2019 in Frontiers in Immunology
Verified
Journal Article
Open access
PDF file
SKSoonHo Kweon
SoonHo Kweon
MPMinh-Trang Thi Phan
Minh-Trang Thi Phan
SCSejong Chun
Sejong Chun
HYHongBi Yu
HongBi Yu
JKJinho Kim
Jinho Kim
DCDuck Cho
Duck Cho
Background: Natural Killer (NK) cell-based immunotherapy used to treat cancer requires the adoptive transfer of a large number of activated NK cells. Here, we report a new effective method to expand human NK cells ex vivo using K562 cells genetically engineered (GE) to express OX40 ligand (K562-OX40L) in combination with a short exposure to soluble IL-21. In addition, we describe a possible mechanism of the NK cell expansion through the OX40 receptor-OX40 ligand axis which is dependent on NK cell homotypic interaction. Methods: K562-OX40L cells were generated by lentiviral transduction and were used as feeder cells to expand and activate NK cells from PBMCs in the presence of IL-2/IL-15. Soluble IL-21 was also added in various concentrations only once at the beginning of the culture. NK cells were expanded for 4–5 weeks, and the purity, expansion rate, phenotype and function (cytotoxicity, antibody-dependent cell-mediated cytotoxicity (ADCC), cytokine production, CD107a degranulation) of these expanded NK cells were compared to those generated by using K562 feeder cells. Results: The culture of NK cells with K562-OX40L cells in combination with the transient exposure to IL-21 highly enhanced NK cell expansion to approximately 2,000-fold after 4 weeks of culture, compared to a 303-fold expansion using the conventional K562 cells. Mechanistically, the OX40-OX40L axis between the feeder cells and NK cells as well as the homotypic interaction between NK cells through the OX40-OX40L axis were both necessary for NK cell expansion. The short exposure of NK cells to IL-21 had a synergistic effect with OX40 signaling for NK cell expansion. Apart from their enhanced expansion, NK cells grown with K562-OX40L feeder cells were similar to those grown with conventional K562 cells in regard to the surface expression of various receptors, cytotoxicity, ADCC, cytokine secretion, and CD107 degranulation. Conclusion: Our data suggest that OX40 ligand is a potent co-stimulant for the robust expansion of human NK cells and the homotypic NK cell interactions through the OX40-OX40L axis is a mechanism of NK cell expansion.

1 May 2020 in Annals of Laboratory Medicine
Verified
Journal Article
Open access
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KRKyung Ju Ryu
Kyung Ju Ryu
JLJi Young Lee
Ji Young Lee
CPChaehwa Park
Chaehwa Park
DCDuck Cho
Duck Cho
SKSeok Jin Kim
Seok Jin Kim
Ryu KJ, et al. Ann Lab Med. 2020 May;40(3):253-258. https://doi.org/10.3343/alm.2020.40.3.253

1 December 2016 in Cytotherapy
Verified
Journal Article
Closed access
MYMee Sun Yoon
Mee Sun Yoon
CPChanh Tin Pham
Chanh Tin Pham
MPMinh-Trang Thi Phan
Minh-Trang Thi Phan
DSDong-Jun Shin
Dong-Jun Shin
YJYoun-Young Jang
Youn-Young Jang
DCDuck Cho
Duck Cho

1 February 2017 in Human Immunology
Verified
Journal Article
Closed access
MPMinh-Trang Phan
Minh-Trang Phan
SCSejong Chun
Sejong Chun
SKSun-Hee Kim
Sun-Hee Kim
AAAlaa Kassim Ali
Alaa Kassim Ali
SLSeung-Hwan Lee
Seung-Hwan Lee
DCDuck Cho
Duck Cho

1 January 2021 in BME Frontiers
Verified
Journal Article
Open access
PDF file
DRDongHun Ryu
DongHun Ryu
JKJinho Kim
Jinho Kim
DLDaejin Lim
Daejin Lim
HMHyun-Seok Min
Hyun-Seok Min
IYIn Young Yoo
In Young Yoo
YPYongkeun Park
Yongkeun Park
Objective and Impact Statement . We propose a rapid and accurate blood cell identification method exploiting deep learning and label-free refractive index (RI) tomography. Our computational approach that fully utilizes tomographic information of bone marrow (BM) white blood cell (WBC) enables us to not only classify the blood cells with deep learning but also quantitatively study their morphological and biochemical properties for hematology research. Introduction . Conventional methods for examining blood cells, such as blood smear analysis by medical professionals and fluorescence-activated cell sorting, require significant time, costs, and domain knowledge that could affect test results. While label-free imaging techniques that use a specimen’s intrinsic contrast (e.g., multiphoton and Raman microscopy) have been used to characterize blood cells, their imaging procedures and instrumentations are relatively time-consuming and complex. Methods . The RI tomograms of the BM WBCs are acquired via Mach-Zehnder interferometer-based tomographic microscope and classified by a 3D convolutional neural network. We test our deep learning classifier for the four types of bone marrow WBC collected from healthy donors ( n = 10 ): monocyte, myelocyte, B lymphocyte, and T lymphocyte. The quantitative parameters of WBC are directly obtained from the tomograms. Results . Our results show >99% accuracy for the binary classification of myeloids and lymphoids and >96% accuracy for the four-type classification of B and T lymphocytes, monocyte, and myelocytes. The feature learning capability of our approach is visualized via an unsupervised dimension reduction technique. Conclusion . We envision that the proposed cell classification framework can be easily integrated into existing blood cell investigation workflows, providing cost-effective and rapid diagnosis for hematologic malignancy.

14 August 2020 in Frontiers in Immunology
Verified
Journal Article
Open access
PDF file
JKJinho Kim
Jinho Kim
MPMinh-Trang Thi Phan
Minh-Trang Thi Phan
SKSoonHo Kweon
SoonHo Kweon
HYHongBi Yu
HongBi Yu
JPJeehun Park
Jeehun Park
DCDuck Cho
Duck Cho
Background: Measurement of natural killer (NK) cell function has important clinical utility in several diseases. Although the flow cytometry (FC)-based 4-h NK cytotoxicity assay using peripheral blood mononuclear cells (PBMCs) in the clinical laboratory has been used for this purpose, this assay requires large amounts of blood and a rapid PBMC isolation step. Here, we developed an FC-based overnight NK cytotoxicity assay using whole blood (WB), and applied it to patients with liver diseases. Methods: Peripheral blood of healthy volunteers (n = 28) and patients with liver diseases, including hepatocellular carcinoma (n = 19) and liver cirrhosis (n = 7), was analyzed for complete blood count, absolute NK cell count, and NK cell activity (NKA). NKA was evaluated in three assay types: an FC-based overnight WB NK cytotoxicity assay using carboxyfluorescein diacetate succinimidyl ester-labeled K562 cells in the presence of various cytokine combinations [including interleukin (IL)-2, IL-18, and IL-21], an FC-based 4-h PBMC NK cytotoxicity assay, and an FC-based CD107a degranulation assay using WB and PBMCs. Results: Optimal cytokine combinations for NK cell activation in WB were determined (IL-2/IL-18, IL-2/IL-21, and IL-2/IL-18/IL-21). A good correlation was observed between WB and PBMC NK cytotoxicity assays; absolute NK cell counts were better correlated with the WB NK cytotoxicity assay than with the PBMC NK cytotoxicity assay. This WB NK cytotoxicity assay showed that patients with liver diseases had significantly lower NK cytotoxicity than healthy volunteers, under stimulation with various cytokines (p < 0.001). Conclusion: The proposed FC-based overnight WB NK cytotoxicity assay correlates well with the conventional 4-h PBMC NK cytotoxicity assay, demonstrating future potential as a supportive assay for clinical laboratory research and observational studies.