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| 1 | Apoptotic signaling through reactive oxygen species in cancer cells显示文摘Reactive oxygen species(ROS) take part in diverse biological processes like cell growth,programmed cell death,cell senescence,and maintenance of the transformed state through regulation of signal transduction. Cancer cells adapt to new higher ROS circumstance. Sometimes,ROS induce cancer cell proliferation. Meanwhile,elevated ROS render cancer cells vulnerable to oxidative stress-induced cell death. However,this prominent character of cancer cells allows acquiring a resistance to oxidative stress conditions relative to normal cells. Activated signaling pathways that increase the level of intracellular ROS in cancer cells not only render up-regulation of several genes involved in cellular proliferation and evasion of apoptosis but also cause cancer cells and cancer stem cells to develop a high metabolic rate. In over the past several decades,many studies have indicated that ROS play a critical role as the secondary messenger of tumorigenesis and metastasis in cancer from both in vitro and in vivo. Here we summarize the role of ROS and anti-oxidants in contributing to or preventing cancer. In addition,we review the activated signaling pathways that make cancer cells susceptible to death. | Daejin Kim Ga Bin Park Dae Young Hur | 2014 | World Journal of Immunology2014，4，3： | 2 |
| 2 | Recent progress in passive direct methanol fuel cells at KIST显示文摘 | Daejin K Eun A C Song A H | 2004 | Journal of Power Sources2004，13，12： | 1 |
| 3 | Oxidation Be haviour of an Alloy 617 in Very High Temperature Air and Helium Environments显示文摘 | Jang Changheui Lee Daejin Kim Daejong | 2008 | Pressure Vessels and Piping2008，85，： | 1 |
| 4 | Recent progress in passive direct methanol fuel cells at KIST 显示文摘 | Daejin K Eun A C Seong A H | 2004 | Journal of Power Sources2004，130，12： | 1 |
| 5 | Recent progress in passive direct methanol fuel cells at KIST显示文摘 | Daejin Kim Enn Ae Cho Seong-Ahn Hong | 2004 | Journal of Power Sources2004，130，12： | 1 |
| 6 | Analysis of Thermophilic Clades within the Genus Streptomyces by 16S Ribosomal DNA Sequence Comparsons显示文摘 | DAEJIN K JONGSIK C NEVZAT S | 1996 | Int J Syst Bacteriol1996，46，1： | 1 |
| 7 | Analysis of thermophilic clades within the genus streptomyces by 16S ribosomal DNA sequence comparisons显示文摘 | Daejin Kim Jongsik Chun Nevzat Sahin | 1996 | Int J Syst Bacteriol1996，46，1： | 1 |
| 8 | Recent Progress in Passive Direct Methanol Fuel Cells at KIST显示文摘 | Kim Daejin Cho Eun Ae H ong Seong--Ahn | 2004 | Journal of Power Sources2004，130，： | 1 |
| 9 | Crystal structure prediction of organic materials: Tests on the 1, 4-diketo- 3, 6-diphenylpyrrolo (3, 4-e) pyrrole and 1, 4-diketo-3, 6-his (4'-dipyridyl) -pyrrolo- I 3, 4-c ] pyrrole 显示文摘 | Kyung-Hyun Kim Dong Hyun Jung Daejin Kim | 2011 | Dyes and Pig- ments2011，89，1： | 1 |
| 10 | Microstructure and mechanical properties of powder-injection- molded products of Cu-based amorphous powders and Fe-based metamorphic powders 显示文摘 | Kim Changkyu Son Changyoung Ha Daejin et 7 l | 2008 | Materials Science and Engineering2008，476，12： | 1 |
| 11 | Recent progress in passive direct methanol fuel cells at KIST显示文摘 | Daejin K Eun A C Seong A H | 2004 | Journal of Power Sources2004，130，： | 1 |
| 12 | Generation and characterization of a preventive and therapeutic HPV DNA vaccine 显示文摘 | DAEJIN K RATISH G BALASUBRAMANYAM K | 2008 | Vaccine2008，26，3： | 1 |
| 13 | Recent progress in passive direct methanol fuel cells at KIST显示文摘 | DAEJIN K EUN A C | 2004 | Journal of Power Sources2004，130，12： | 1 |
| 14 | An experimental study on the fabrication of glass-based acceleration sensor body using Micro powder blasting method显示文摘 | DongSam Park DaeJin Yun | 2007 | Sensors2007，7，： | 1 |
| 15 | Recombinant Erdr1 suppresses the migration and invasion ability of human gastric cancer cells, SNU-216, through the JNK pathway显示文摘 | Min Kyung Jung Youn Kyung Houh Soogyeong Ha Yoolhee Yang Daejin Kim Tae Sung Kim Suk Ran Yoon Sa Ik Bang Byung Joo Cho Wang Jae Lee Hyunjeong Park Daeho Cho | 2013 | Immunology Letters2013，，1： | 1 |
| 16 | Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning显示文摘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. | DongHun Ryu Jinho Kim Daejin Lim Hyun-Seok Min In Young Yoo Duck Cho YongKeun Park | 2021 | Biomedical Engineering Frontiers2021，2，1： | 0 |
| 17 | ASpediaFI:Functional Interaction Analysis of Alternative Splicing Events显示文摘Alternative splicing(AS)regulates biological processes governing phenotypes and diseases.Differential AS(DAS)gene test methods have been developed to investigate important exonic expression from high-throughput datasets.However,the DAS events extracted using statistical tests are insufficient to delineate relevant biological processes.In this study,we developed a novel application,Alternative Splicing Encyclopedia:Functional Interaction(ASpediaFI),to systemically identify DAS events and co-regulated genes and pathways.ASpediaFI establishes a heterogeneous interaction network of genes and their feature nodes(i.e.,AS events and pathways)connected by coexpression or pathway gene set knowledge.Next,ASpediaFI explores the interaction network using the random walk with restart algorithm and interrogates the proximity from a query gene set.Finally,ASpediaFI extracts significant AS events,genes,and pathways.To evaluate the performance of our method,we simulated RNA sequencing(RNA-seq)datasets to consider various conditions of sequencing depth and sample size.The performance was compared with that of other methods.Additionally,we analyzed three public datasets of cancer patients or cell lines to evaluate how well ASpediaFI detects biologically relevant candidates.ASpediaFI exhibits strong performance in both simulated and public datasets.Our integrative approach reveals that DAS events that recognize a global co-expression network and relevant pathways determine the functional importance of spliced genes in the subnetwork.ASpediaFI is publicly available at http://gffzzac2dce1b35f34f27sfvnqwbqn5kcu6oqo.ffgz.tsg.suse.edu.cn/packages/ASpediaFI. | Kyubin Lee Doyeong Yu Daejin Hyung Soo Young Cho Charny Park | 2022 | Genomics, Proteomics & Bioinformatics2022，20，3： | 0 |
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