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Kwon, Haejin,Lee, Jiyeon,Song, Rita,Hwang, Sung Il,Lee, Junghan,Kim, Young-Hwa,Lee, Hak Jong The Korean Society of Radiology 2013 KOREAN JOURNAL OF RADIOLOGY Vol.14 No.1
<P><B>Objective</B></P><P>Authors aimed to determine the targeting ability of vascular endothelial growth factor receptor 2 (VEGFR2)-conjugated quantum dots (QDs) in vitro, and apply it for a xenograft prostate cancer mouse model.</P><P><B>Materials and Methods</B></P><P>Conjugation reaction of QDs was performed by using the N-(3-dimethylaminopropyl)-N'-ethylcarbodiimide (EDC) and sulfo-(N-hydroxysulfosuccinimide) (Sulfo-NHS). The human umbilical vein cord endothelial cells (HUVECs) were incubated with QDs, conjugated with antiVGFR2, to see a specific binding <I>in vitro</I>. Fluorescent cell images were taken by a confocal microscope. The human prostate cancer cells (PC3) were injected to five nude mice on hind limbs to make the xenograft tumor model. QD-antiVEGFR2 antibody complex was injected into the tumor model and fluorescence measurements were performed at 1, 4, 9, 12, 15, and 24 hours after the injection.</P><P><B>Results</B></P><P>The specific interaction between HUVECs and QD-antiVEGFR2 antibody was clearly shown <I>in vitro</I>. The <I>in vivo</I> fluorescence image disclosed that there was an increased signal of tumor, 12 hours after the injection of QDs.</P><P><B>Conclusion</B></P><P>By showing endothelial cells binding with QDs-antiVEGFR2 antibodyand an experimental application of the antibody for VEGFR2 imaging in the prostate cancer xenograft mouse model, we suggests that the antibody-conjugated QDs can be a potential imaging tool for angiogenesis of the cancer.</P>
Quantum Dot‐Based Screening System for Discovery of G Protein‐Coupled Receptor Agonists
Lee, Junghan,Kwon, Yong‐,Jun,Choi, Youngseon,Kim, Hi Chul,Kim, Keumhyun,Kim, JinYeop,Park, Sun,Song, Rita WILEY‐VCH Verlag 2012 Chembiochem Vol.13 No.10
<P><B>Abstract</B></P><P>Cellular imaging has emerged as an important tool to unravel biological complexity and to accelerate the drug‐discovery process, including cell‐based screening, target identification, and mechanism of action studies. Recently, semiconductor nanoparticles known as quantum dots (QDs) have attracted great interest in cellular imaging applications due to their unique photophysical properties such as size, tunable optical property, multiplexing capability, and photostability. Herein, we show that QDs can also be applied to assay development and eventually to high‐throughput/content screening (HTS/HCS) for drug discovery. We have synthesized QDs modified with PEG and primary antibodies to be used as fluorescent probes for a cell‐based HTS system. The G protein‐coupled receptor (GPCR) family is known to be involved in most major diseases. We therefore constructed human osteosarcoma (U2OS) cells that specifically overexpress two types of differently tagged GPCRs: influenza hemagglutinin (HA) peptide‐tagged κ‐opioid receptors (κ‐ORs) and GFP‐tagged A3 adenosine receptors (A3AR). In this study, we have demonstrated that 1) anti‐HA antibody‐conjugated QDs could specifically label HA‐tagged κ‐ORs, 2) subsequent treatment of QD‐tagged GPCR agonists allowed agonist‐induced translocation to be monitored in real time, 3) excellent emission spectral properties of QD permitted the simultaneous detection of two GPCRs in one cell, and 4) the robust imaging capabilities of the QD–antibody conjugates could lead to reproducible quantitative data from high‐content cellular images. These results suggest that the present QD‐based GPCR inhibitor screening system can be a promising platform for further drug screening applications.</P>
Ji Hyun Kwon,Ji Won Kim,Jin Hyun Park,Youngil Koh,Jee Hyun Kim,방수미,Junghan Song,이종석 대한혈액학회 2009 Blood Research Vol.44 No.4
The authors describe the case of a 71-year-old patient with acute megakaryocytic leukemia (AML-M7) who was successfully treated with low-dose cytarabine induction followed by intermediate-dose cytarabine consolidation therapy. The patient presented with infection and rapidly increasing blood blasts. The diagnosis was consistent with AML-M7 with a normal karyotype. Peripheral blood blasts decreased rapidly upon low-dose cytarabine administration, and the patient achieved complete remission after two courses of low-dose cytarabine (10 mg/㎡ bid for 12 days). Consolidation therapy with intermediate-dose cytarabine (1.0 g/㎡ bid on day 1, 3 and 5) was then instituted without serious complication. He remained in complete remission at the time of writing 47 month after diagnosis. In spite of multiple poor prognostic factors, this patient showed excellent treatment outcome through low-dose cytarabine induction and intermediate-dose cytarabine consolidation. It needs to be validated whether acute leukemia with a megakaryocytic morphology is exceptionally sensitive to cytarabine.
Deep Full-Body Motion Network for a Soft Wearable Motion Sensing Suit
Kim, Dooyoung,Kwon, Junghan,Han, Seunghyun,Park, Yong-Lae,Jo, Sungho IEEE 2019 IEEE/ASME transactions on mechatronics Vol.24 No.1
<P>Soft sensors are becoming more popular in wearables as a means of tracking human body motions due to their high stretchability and easy wearability. However, previous research not only was limited to only certain body parts, but also showed problems in both calibration and processing of the sensor signals, which are caused by the high nonlinearity and hysteresis of the soft materials and also by the misplacement and displacement of the sensors during motion. Although this problem can be alleviated through redundancy by employing an increased number of sensors, it will lay another burden of heavy processing and power consumption. Moreover, complete full-body motion tracking has not been achieved yet. Therefore, we propose use of deep learning for full-body motion sensing, which significantly increases efficiency in calibration of the soft sensor and estimation of the body motions. The sensing suit is made of stretchable fabric and contains 20 soft strain sensors distributed on both the upper and the lower extremities. Three athletic motions were tested with a human subject, and the proposed learning-based calibration and mapping method showed a higher accuracy than traditional methods that are mainly based on mathematical estimation, such as linear regression.</P>