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Comparative transcriptomics of transgenic tobacco plants overexpressing Miscanthus sinensis BTF3

BMC Genomics 2025年第1期26卷 1-9页

作者： Seo, Ji Won Ham, Da Ye Lee, Jae Geun Kim, Hee Young Choi, Ik Young Kim, Myong Jo Seong, Eun Soo Interdisciplinary Program in Smart Science Kangwon National University Chuncheon 24341 South Korea Research Institute of Biotechnology Hwajin Cosmetics Hongcheon 25142 South Korea Department of Smart Farm Chungnam State University Cheongyang 33303 South Korea Department of Agriculture and Life Industry Kangwon National University Chuncheon 24341 South Korea Department of Applied Plant Sciences Division of Bioresource Sciences Kangwon National University Chuncheon 24341 South Korea

Background: Plant basic transcription factor3 (BTF3) plays an important role in photosynthesis rate and plant growth and development. In addition, it is involved in resistance mechanisms related to abiotic and biotic stress and has a significant impact on plant growth phenotype. This study was conducted to expand our understanding on plant transcriptome changes as there are no reports on plant transcriptome changes in normal environments due to the overexpression of Miscanthus sinensis BTF3 gene. Results: The amino acid sequence length of the BTF3 gene isolated from M. sinensis was 158 aa, and it showed the highest homology (97.47 %) with that of Paniocum virgatum (PvBTF3). Nicotiana benthamiana (Nb) transgenic plant was produced by transforming a binary vector into which the MsBTF3 gene was inserted into Agrobacterium. Up- and down-regulatory factors were classified through transcriptome analysis using transgenic plants overexpressing MsBTF3. Gene ontology (GO) analysis of up-regulated transcripts showed that the most expressed transcripts were involved in biological processes. Analysis of down-regulated differentially expressed genes (DEGs) showed that they were involved in metabolic processes that corresponded to biological processes. Blast analysis revealed that Nb03180T (chloroplast photosystem II 22 kDa component), Nb04871T (basic transcription factor 3-like), Nb13433T (expansin-B15- like), Nb15392T (receptor-like serine/threonine-protein kinase SD1-8 isoform X3), Nb17216T (3-bata-glucan endohydrolase), and Nb20214T (probable rhamnogalacturonate lyase B) were among the DEGs whose transcript expression was up-regulated more than 2-fold compared to the wild type. In particular, the reference gene, that is the NbBTF3 gene, showed the highest expression owing to the overexpression of MsBTF3. Conclusions: Transcriptome changes in tobacco plants through MsBTF3 overexpression revealed that MsBTF3 caused broad-spectrum changes in the biological processes of plants. Ms

关键词： Basic transcription factor3 Differentially expressed genes Gene ontology Miscanthus sinensis NbBTF3 Nicotiana benthamiana transgenic plant Transcriptome analysis

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Zinc Oxide@Tetracycline Spiky Microparticles Design for Persistent Antibacterial Therapy

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Journal of Biomedical Materials Research - Part A 2025年第5期113卷

作者： Seol, Youjin Ganguly, Keya Patil, Tejal V. Dutta, Sayan Deb Park, Hyeonseo Lee, Jieun Randhawa, Aayushi Kim, Hojin Lim, Ki-Taek Department of Biosystems Engineering Kangwon University Gangwon-do Chuncheon Korea Republic of Interdisciplinary Program in Smart Agriculture Kangwon National University Gangwon-do Chuncheon Korea Republic of Department of Mechanical Engineering Virginia Tech BlacksburgVA United States Institute of Forest Science Kangwon National University Gangwon-do Chuncheon Korea Republic of

Antibiotics have revolutionized medical treatment by effectively combating bacterial infections, particularly those associated with chronic wounds and implant complications. Nevertheless, the persistent use of these drugs has resulted in an increase in antibiotic-resistant bacteria and biofilm infections, highlighting the urgent need for alternative therapies. This study presents an approach for combating persistent bacterial and biofilm infections through the integration of biomimetic design and advanced nanotechnology. Inspired by the natural defense mechanisms of pollen grains and lotus leaves, we engineered zinc oxide spiky microparticles combined with tetracycline-loaded beads mimicking the structure of lotus leaf papillae. This biomimetic design exhibits a multifaceted antimicrobial strategy, leveraging hierarchical micro/nanostructures and the inherent antibacterial properties of their natural counterparts. ZnO microparticles, which mimic the morphology of pollen grains, provide topological cues to rupture adhered bacteria, whereas tetracycline beads, inspired by lotus leaf papillae, deliver a controlled release of antibiotics to target persistent bacteria. Using a synergistic multimodal approach, our biomimetic materials demonstrated exceptional efficacy in eradicating persistent methicillin-resistant Staphylococcus aureus and Escherichia coli infections, offering promising prospects for the development of advanced antibacterial therapies. This study not only underscores the importance of biomimicry in material design but also highlights the potential of integrating nature-inspired strategies with nanotechnology for biomedical applications. © 2025 The Author(s). Journal of Biomedical Materials Research Part A published by Wiley Periodicals LLC.

关键词： Medical nanotechnology

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Modeling supports the implementation of urban greening as a response to the challenges of sustainable spatial planning

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Journal of Environmental Management 2025年 386卷 125648页

作者： Kim, Eun Sub Hyun, Jung Hee Kim, Na Yeon Heo, Su Jeong Kim, Da Seul Lee, Dong Kun Low-Carbon and Climate Impact Research Centre School of Energy and Environment City University of Hong Kong Tat Chee Ave Hong Kong Kowloon Tong China Systemic Risk and Resilience Research Group Advancing Systems Analysis International Institute for Applied Systems Analysis Austria Department of Landscape Architecture and Rural System Engineering Seoul National University Seoul08826 Korea Republic of Integrated Major in Smart City Global Convergence Program Seoul National University Seoul08826 Korea Republic of Forest Disaster & Environment Department National Institute of Forest Science Seoul Korea Republic of Interdisciplinary Program in Landscape Architecture Seoul National University Seoul08826 Korea Republic of Specialized Graduate School of Intelligent Eco-Science 4 Dept. of Landscape Architecture Seoul National University Seoul08826 Korea Republic of

Urban greening is critical for sustainable urban development, climate change mitigation, and biodiversity conservation. However, the effectiveness of urban greening varies depending on the specific goals (e.g., enhancing biodiversity, reducing urban heat, or both) and their spatial implementation. To address the spatial variability in the effectiveness of greening, we propose a spatial decision support model based on the non-dominated sorting genetic algorithm-II (NSGA-II). This model aims to optimize urban greening locations to maximize biomass density, mitigate urban heat stress, and improve landscape connectivity. Applied to Suwon City, South Korea, the model's effectiveness was evaluated against a business-as-usual (BAU) scenario across four scenarios: connectivity-based, biomass density-based, heat stress-based, and an integrated-based scenario. The integrated approach, balancing trade-offs between ecological benefits and implementation costs, outperformed the BAU scenario by 8.84 %. Despite highlighting a weaker correlation with heat stress mitigation, this outcome indicates significant improvements in biomass density and landscape connectivity. Our findings underscore the necessity of an integrated planning approach to urban greening, as it can contribute toward attaining urban development goals. Additionally, by proposing an app-based model for policymakers, our outputs should enable the reconciliation of multiple environmental objectives in urban landscapes. © 2025 Elsevier Ltd

关键词： Biotic

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Bioimplant-on-a-Chip for Facile Investigation of Periodontal Ligament Formation on Biogenic Hydroxyapatite/Ti6Al4 V Implants

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ACS applied materials & interfaces 2025年第21期17卷 2025 May 13页

作者： Sangbae Park Jae Eun Kim Juo Lee Woochan Kim Woobin Choi Myung Chul Lee Jae Woon Lim Kyoung-Je Jang Hoon Seonwoo Jangho Kim Jong Hoon Chung Department of Biosystems Engineering Seoul National University Seoul 08826 Korea. Research Institute of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Integrated Major in Global Smart Farm College of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Department of Convergent Biosystems Engineering College of Life Science and Natural Resources Sunchon National University Suncheon 57922 Republic of Korea. Department of Convergence Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Department of Rural and Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Chonnam National University Gwangju 61186 Republic of Korea. Medicinal Materials Research Center Biomedical Research Division Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea. Department of Bio-Systems Engineering Institute of Smart Farm Gyeongsang National University Jinju 52828 Republic of Korea. Institute of Agriculture & Life Science Gyeongsang National University Jinju 52828 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Sunchon National University Suncheon 57922 Republic of Korea. Institute of Nano-Stem Cells Therapeutics NANOBIOSYSTEM Co. Ltd Gwangju 61008 Republic of Korea. ELBIO Inc Seoul 08812 Republic of Korea.

Highly osseointegrative dental implants surrounded by reconstructed periodontal tissues represent a promising strategy for functional tooth replacement, as they mimic the structural and physiological characteristics of natural teeth. However, there is currently a lack of in vitro platforms that can effectively evaluate the integration of engineered periodontal ligament (PDL) tissues with bioimplants. In this study, we developed a bioimplant-on-a-chip (BoC) platform designed to recapitulate the native PDL-cementum interface and assess the early stage biological performance of bioimplants in vitro. The BoC consists of a dental implant, a calcium phosphate cement (CPC) insert, a nanopatterned polydimethylsiloxane (PDMS) substrate, and PDL-like tissue derived from human dental pulp stem cells (DPSCs). To establish viable culture conditions within the platform, surface coatings and cell seeding densities were optimized to support the formation of PDL-like tissue. Nanogrooved substrates were incorporated to guide cellular alignment, which was assessed through orientation analysis. Collagen fiber organization and matrix deposition were further examined as indicators of ligamentous tissue maturation. Cementogenic activity was evaluated by immunofluorescent staining of cementum protein-1 (CEMP-1) in response to varying biogenic hydroxyapatite (bHA) contents in the bioimplants. The results demonstrated successful reproduction of a PDL-like tissue interface and material-dependent differences in CEMP-1 expression. This platform provides a modular and reproducible tool for the comparative evaluation of bioimplants in a physiologically relevant setting and may be useful in advancing regenerative strategies in dental implantology.

关键词： bioimplant-on-a-chip bioimplants in vitro model periodontal ligament tissue engineering

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One-Dimensional Convolutional Neural Network for Automated Kimchi Cabbage Downy Mildew Detection Using Aerial Hyperspectral Images

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Remote Sensing 2025年第9期17卷 1626-1626页

作者： Lyu, Yang Kuswidiyanto, Lukas Wiku Wang, Pingan Noh, Hyun-Ho Jung, Hee-Young Han, Xiongzhe Interdisciplinary Program in Smart Agriculture College of Agricultural and Life Sciences Kangwon National University Chuncheon24341 Korea Republic of Department of Mechanical and Electrical Engineering Shandong Water Conservancy Vocational College Rizhao276826 China Residual Agrochemical Assessment Division Department of Agro-Food Safety and Crop Protection National Institute of Agricultural Science Rural Development Administration Jeonju55365 Korea Republic of Department of Plant Pathology College of Agricultural and Life Science Kyungpook National University Daegu41566 Korea Republic of Department of Biosystems Engineering College of Agricultural and Life Sciences Kangwon National University Chuncheon24341 Korea Republic of

Downy mildew poses a significant threat to kimchi cabbage, a vital agricultural product in Korea, adversely affecting its yield and quality. Traditional disease detection methods based on visual inspection are labor intensive and time consuming. This study proposes a non-destructive, field-scale disease detection approach using unmanned aerial vehicle (UAV)-based hyperspectral imaging. Hyperspectral images of the kimchi cabbage field were preprocessed, segmented at the pixel level, and classified into four categories: background, healthy, early-stage disease, and late-stage disease. Spectral analysis of the late and early stages of downy mildew infection revealed notable differences in the red-edge band, with infected plants exhibiting increased red-edge reflectance. To automate disease detection, various machine learning models, including Random Forest (RF), 1D Convolutional Neural Network (1D-CNN), 1D Residual Network (1D-ResNet), and 1D Inception Network (1D-InceptionNet), were developed. These models were trained based on a 0.2 sampling dataset, achieving overall accuracy scores of 0.907, 0.901, 0.909, and 0.914, along with F1 scores of 0.876, 0.845, 0.897, and 0.899, respectively. Overall, the results of this study revealed that the red-edge band reliably signaled the presence of downy mildew, and the 1D-InceptionNet model demonstrated the most effective performance for automatic disease detection. © 2025 by the authors.

关键词： Drones

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Unraveling the potential of 3D bioprinted immunomodulatory materials for regulating macrophage polarization:State-of-the-art in bone and associated tissue regeneration

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Bioactive Materials 2023年第10期28卷 284-310页

作者： Sayan Deb Dutta Tejal V.Patil Keya Ganguly Aayushi Randhawa Ki-Taek Lim Department of Biosystems Engineering Kangwon National UniversityChuncheon24341Republic of Korea Institute of Forest Science Kangwon National UniversityChuncheon24341Republic of Korea Interdisciplinary Program in Smart Agriculture Kangwon National UniversityChuncheon24341Republic of Korea

Macrophage-assisted immunomodulation is an alternative strategy in tissue engineering, wherein the interplay between pro-inflammatory and anti-inflammatory macrophage cells and body cells determines the fate of healing or inflammation. Although several reports have demonstrated that tissue regeneration depends on spatial and temporal regulation of the biophysical or biochemical microenvironment of the biomaterial, the underlying molecular mechanism behind immunomodulation is still under consideration for developing immunomodulatory scaffolds. Currently, most fabricated immunomodulatory platforms reported in the literature show regenerative capabilities of a particular tissue, for example, endogenous tissue (e.g., bone, muscle, heart, kidney, and lungs) or exogenous tissue (e.g., skin and eye). In this review, we briefly introduced the necessity of the 3D immunomodulatory scaffolds and nanomaterials, focusing on material properties and their interaction with macrophages for general readers. This review also provides a comprehensive summary of macrophage origin and taxonomy, their diverse functions, and various signal transduction pathways during biomaterial-macrophage interaction, which is particularly helpful for material scientists and clinicians for developing next-generation immunomodulatory scaffolds. From a clinical standpoint, we briefly discussed the role of 3D biomaterial scaffolds and/or nanomaterial composites for macrophage-assisted tissue engineering with a special focus on bone and associated tissues. Finally, a summary with expert opinion is presented to address the challenges and future necessity of 3D bioprinted immunomodulatory materials for tissue engineering.

关键词： Macrophage Immunomodulation Biomaterials 3D bioprinting Tissue engineering

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Nanocellulose,a versatile platform:From the delivery of active molecules to tissue engineering applications

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Bioactive Materials 2022年第3期7卷 566-589页

作者： Tejal V.Patil Dinesh K.Patel Sayan Deb Dutta Keya Ganguly Tuhin Subhra Santra Ki-Taek Lim Department of Biosystems Engineering Institute of Forest ScienceKangwon National UniversityChuncheon24341Republic of Korea Interdisciplinary Program in Smart Agriculture Kangwon National UniversityChuncheon24341Republic of Korea Deptarment of Engineering Design Indian Institute of TechnologyMadras600036India

Nanocellulose,a biopolymer,has received wide attention from researchers owing to its superior physicochemical properties,such as high mechanical strength,low density,biodegradability,and *** can be extracted from wide range of sources,including plants,bacteria,and *** on the extraction process and dimensions(diameter and length),they are categorized into three main types:cellulose nanocrystals(CNCs),cellulose nanofibrils(CNFs),and bacterial nanocellulose(BNC).CNCs are a highly crystalline and needle-like structure,whereas CNFs have both amorphous and crystalline regions in their *** is the purest form of *** nanocellulose properties can be tuned by chemical functionalization,which increases its applicability in biomedical *** review highlights the fabrication of different surface-modified nanocellulose to deliver active molecules,such as drugs,proteins,and ***-mediated delivery of active molecules is profoundly affected by its topographical structure and the interaction between the loaded molecules and *** applications of nanocellulose and its composites in tissue engineering have been ***,the review is concluded with further opportunities and challenges in nanocellulose-mediated delivery of active molecules.

关键词： Nanocellulose Chemical functionalization Drug delivery Protein delivery Plasmid delivery Tissue engineering

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Enhancing STEM Knowledge and Skills by Making Electronic Sound Synthesizer based on TPACK Model 27

Enhancing STEM Knowledge and Skills by Making Electronic Sou...

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27th International Conference on Computers in Education, ICCE 2019

作者： Hu, Chih-Chien Yeh, Hui-Chin Chen, Nian-Shing Research Center for Smart Learning National Yunlin University of Science and Technology Taiwan Bachelor Program in Interdisciplinary Studies College of Future National Yunlin University of Science and Technology Taiwan Department of Applied Foreign Languages National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9789869721448

STEM education has received increasing attention in recent years. Thus, this study proposes a knowledge and skill enhancement framework by integrating TPACK for enhancing learners’ STEM knowledge and skills. The main idea of the proposed approach was to conduct a workshop for learners to make an electronic sound synthesizer. Related data were collected along the whole process, the results revealed that the proposed approach significantly helps learners improve their learning performance and fosters their positive attitudes toward STEM. © ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.

关键词： Learning systems

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Designing an IoT-based 3D pop-up book to engage children in English vocabulary learning 27

Designing an IoT-based 3D pop-up book to engage children in ...

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27th International Conference on Computers in Education, ICCE 2019

作者： Huang, Huai-Hsuan Lin, Vivien Yang, Yu-Fen Chen, Nian-Shing Research Center for Smart Learning National Yunlin University of Science and Technology Taiwan Bachelor Program in Interdisciplinary Studies College of Future National Yunlin University of Science and Technology Taiwan Department of Applied Foreign Languages National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9789869721448

The purpose of this study was to use the Internet of Things (IoT) technology to engage elementary school children in English vocabulary learning through a pet-care game. An IoT system consisting of a three-dimensional (3D) pop-up book, a toy character, an educational robot, and a near-field communication wire network was developed. Based on this proposed IoT-based language learning environment, interactions among individual learners, an educational robot (accompanied by a tablet), and the 3D pop-up book augmented by a sensor network were induced. Two fourth graders followed the English robotic prompts, which were simple sentence structures embedded with target vocabulary, to interact with the 3D pop-up book so that each learner carried out daily life tasks under robotic guidance and human facilitation. A video analysis revealed that the IoT-augmented 3D pop-up book game effectively provided a learning environment for behavioral, cognitive, and emotional engagement. It is thus concluded that creating an IoT-based game environment for young learners and engaging them in interactions can enhance their performance in English vocabulary learning. Instructional designers may find the outcomes of this study useful for creating language learning opportunities with the support of IoT-based technology. © ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.

关键词： Computer aided instruction

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Evaluation of Fatigue and Attention Levels in Multi-target Scenario using CNN

Evaluation of Fatigue and Attention Levels in Multi-target S...

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2020 International Computer Symposium, ICS 2020

作者： Sandeep Vara Sankar, D Ko, Li-Wei National Chiao Tung University International Ph.D Program in Interdisciplinary Neuroscience Dept. of Biological Science and Technology Hsinchu Taiwan National Chiao Tung University Center for Intelligent Drug Systems and Smart Bio-Devices Department of Biological Science and Technology Hsinchu Taiwan

ISBN: (纸本)9781728192550

Fatigue is a behavioral phenomenon that occurs when a user conducts focused mental activity for a prolonged duration resulting in performance errors or lapse. This paper presents an electroencephalogram (EEG)-based fatigue and attention level detection using 2-dimensional convolutional neural networks (2D-CNN). The experimental paradigm was designed to identify and detect a target object from a multi- target scenario. The results show that our proposed model provides a classification accuracy of 86.12%, which is ~18%, ~16% and ~10% higher than the Bayesian linear discriminant analysis (BLDA), support vector machine (SVM) and bootstrap aggregating (bagging tree) algorithms. Further, the decreased session-wise accuracy levels observed for each subject after the 4th experimental session postulates cognitive state disparities were caused due to increased fatigue and dropped attention levels. These biomarkers were assessed by comparing the resting theta and alpha band powers with the rapid serial visual presentation (RSVP) performance of the later sessions (sessions 5 to 7). The results show an inverse relationship between the RSVP classification performance and the resting EEG power, validating that the subjects' performance is affected by the physiological state biomarkers like fatigue and attention for prolonged brain-computer interface (BCI) experiments. Our findings demonstrate that the resting theta and alpha band powers can be considered as indicative measures to interpret mental fatigue and attention deficit problems. © 2020 IEEE.

关键词： Brain computer interface

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