• Title/Summary/Keyword: Artificial proliferation

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Studies on Proliferation and Migration of Glioma Cells for Development of an Artificial Nerve Tubing

  • Hyun Song;Chung, Dong-June;Choung, Pill-Hoon;Aree Moon
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 2001.11a
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    • pp.105-105
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    • 2001
  • In an attempt to provide useful information on the development of an artifitial nerve tubing, proliferative and migrative properties of two glioma cell lines, C6 rat glioma cells and Hs683 human glioma cells, were examined. The present study shows that C6 cells proliferated more rapidly than Hs683 cells. The Hs683 cells are more adequate for the development of nerve tubing since unlike C6 cells, they are of human origin and known to be non-tumorigenic. In order to enhance proliferative and migrative abilities of Hs683 cells for the application as an artificial nerve tubing, we studied the effect of glial cell-derived neurotrophic factor (GDNF) on Hs683 cells. Cells were seeded in the scaffolds (polymer constructs), fabricated with type I collegen and alginate modified with cinnamoyl moiety, in the presence or absence of GDNF Stimulatory effect of GDNF on the proliferation and migration of Hs683 cells cultured in the scaffolds is currently under investigation. In addition, possible neuroprotective activities of natural products which inhibit staurosporine-induced apoptosis of glioma cells are also being studied.

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Effective Artificial Neural Network Approach for Non-Binary Incidence Matrix-Based Part-Machine Grouping (비이진 연관행렬 기반의 부품-기계 그룹핑을 위한 효과적인 인공신경망 접근법)

  • Won, You-Kyung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.4
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    • pp.69-87
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    • 2006
  • This paper proposes an effective approach for the part-machine grouping(PMG) based on the non-binary part-machine incidence matrix in which real manufacturing factors such as the operation sequences with multiple visits to the same machine and production volumes of parts are incorporated and each entry represents actual moves due to different operation sequences. The proposed approach adopts Fuzzy ART neural network to quickly create the Initial part families and their machine cells. A new performance measure to evaluate and compare the goodness of non-binary block diagonal solution is suggested. To enhance the poor solution due to category proliferation inherent to most artificial neural networks, a supplementary procedure reassigning parts and machines is added. To show effectiveness of the proposed approach to large-size PMG problems, a psuedo-replicated clustering procedure is designed. Experimental results with intermediate to large-size data sets show effectiveness of the proposed approach.

Worm Virus Modeling and Simu1ation Methodology Using Artificial Life (인공생명 기반의 웜바이러스 모델링 및 시뮬레이선 방법론)

  • You, Yong-Jun;Chae, Soo-Hoan;Chi, Sung-Do;Oh, Ji-Yeon
    • Journal of the Korea Society for Simulation
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    • v.15 no.4
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    • pp.1-10
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    • 2006
  • Computer virus modeling and simulation research has conducted with focus on the network vulnerability analysis. But computer virus shows the biological virus characters such as proliferation, reproduction and evolution. Therefore it is necessary to research the computer virus modeling and simulation using the Artificial life technique. The approach of computer modeling and simulation using Artificial life provides the analysis method about the effects on the network by computer virus and the behavior mechanism of computer virus. Hence this paper proposes the methodology of computer virus modeling and simulation using Artificial life, which is effected to contribute the research on the computer virus vaccine.

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Interactions of Low-Temperature Atmospheric-Pressure Plasmas with Cells, Tissues, and Biomaterials for Orthopaedic Applications

  • Hamaguchi, Satoshi
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.02a
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    • pp.20-20
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    • 2011
  • It has been known that, under certain conditions, application of low-temperature atmospheric-pressure plasmas can enhance proliferation of cells. In this study, conditions for optimal cell proliferation were examined for various cells relevant for orthopaedic applications. Plasmas used in our experiments were generated by dielectric barrier discharge (DBD) with a helium flow (of approximately 3 litter/min) into ambient air at atmospheric pressure by a 10 kV~20 kHz power supply. Such plasmas were directly applied to a medium, in which cells of interest were cultured. The cells examined in this study were human synoviocytes, rat mesenchymal stem cells derived from bone marrow or adipose tissue, a mouse osteoblastic cell line (MC3T3-E1), a mouse embryonic mesenchymal cell line (C3H-10T1/2), human osteosarcoma cells (HOS), a mouse myoblast cell line (C2C12), and rat Schwann cells. Since cell proliferation can be enhanced even if the cells are not directly exposed to plasmas but cultured in a medium that is pre-treated by plasma application, it is surmised that long-life free radicals generated in the medium by plasma application stimulate cell proliferation if their densities are appropriate. The level of free radical generation in the medium was examined by dROMs tests and correlation between cell proliferation and oxidative stress was observed. Other applications of plasma medicine in orthopaedics, such as plasma modification of artificial bones and wound healing effects by direct plasma application for mouse models, will be also discussed. The work has been done in collaboration with Prof. H. Yoshikawa and his group members at the School of Medicine, Osaka University.

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The fibronectin concentration that optimally maintains porcine satellite cells

  • Jae Ho Han;Si Won Jang;Ye Rim Kim;Hoon Jang;Kwan Seob Shim;Hyun Woo Choi
    • Animal Bioscience
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    • v.36 no.12
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    • pp.1889-1897
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    • 2023
  • Objective: 'Cultured meat' has been suggested as means of solving the problems associated with overpopulation and gas emissions. Satellite cells are a major component in the production of cultured meat; however, these cells cannot be maintained in vitro over long periods. Fibronectin is a glycoprotein that affects biological processes such as cell adhesion, differentiation, and migration. Unfortunately, the characteristics of porcine satellite cells grown in a long-term culture when exposed to fibronectin-coated dishes are unknown. The objective of this study was to investigate the appropriate concentration of fibronectin coated dishes for proliferation and maintenance of porcine satellite cells at long-term culture. Methods: In this study, we isolated the satellite cells and fibroblast cells with pre-plating method. We next analyzed the cell doubling time, cell cycle, and rate of expressed paired box 7 (Pax7) and myogenic differentiation 1 (MyoD1) in porcine satellite cells cultured with 20 ㎍/mL of fibronectin-, gelatin-, and non-coated dishes at early and late passage. We then analyzed the proliferation of porcine satellite cells with various concentrations of mixed gelatin/fibronectin. We next determined the optimal concentration of fibronectin that would encourage proliferation and maintenance of porcine satellite cells in a long-term culture. Results: Doubling time was lowest when 20 ㎍/mL of fibronectin was used (as tested during an early and late passage). Levels of expressed Pax7 and MyoD1, assessed using immunocytochemistry, were highest in cells grown using fibronectin-coated dishes. The proliferation of gelatin/fibronectin mixed coatings had no significant effect on porcine satellite cells. The concentration of 5 ㎍/mL fibronectin coated dishes showed the lowest doubling time and maintained expression of Pax7. Conclusion: Fibronectin with 5㎍/mL effectively maintains porcine satellite cells, a discovery that will be of interest to those developing the next generation of artificial meats.

Myocardial tissue engineering using electrospun nanofiber composites

  • Kim, Pyung-Hwan;Cho, Je-Yoel
    • BMB Reports
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    • v.49 no.1
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    • pp.26-36
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    • 2016
  • Emerging trends for cardiac tissue engineering are focused on increasing the biocompatibility and tissue regeneration ability of artificial heart tissue by incorporating various cell sources and bioactive molecules. Although primary cardiomyocytes can be successfully implanted, clinical applications are restricted due to their low survival rates and poor proliferation. To develop successful cardiovascular tissue regeneration systems, new technologies must be introduced to improve myocardial regeneration. Electrospinning is a simple, versatile technique for fabricating nanofibers. Here, we discuss various biodegradable polymers (natural, synthetic, and combinatorial polymers) that can be used for fiber fabrication. We also describe a series of fiber modification methods that can increase cell survival, proliferation, and migration and provide supporting mechanical properties by mimicking micro-environment structures, such as the extracellular matrix (ECM). In addition, the applications and types of nanofiber-based scaffolds for myocardial regeneration are described. Finally, fusion research methods combined with stem cells and scaffolds to improve biocompatibility are discussed. [BMB Reports 2016; 49(1): 26-36]

Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education (의료분야에서 인공지능 현황 및 의학교육의 방향)

  • Jung, Jin Sup
    • Korean Medical Education Review
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    • v.22 no.2
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    • pp.99-114
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    • 2020
  • The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.

Implantation of Small Artery Vessel from Blends PCL/PU with and without Anti-thrombus

  • Hiep, Nguyen Thi;Lee, Seong-Jin;Min, Young-Ki;Yang, Hun-Mo;Song, Ho-Yeon;Lee, Byong-Taek
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2010.05a
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    • pp.45.1-45.1
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    • 2010
  • In this experiment, artificial blood vessel was fabricated from electro-spun PU/PCL. To assist with endothelial growth, PU/PCL surface was coated with the RGD peptide. To prevent a clot of blood, anti-thrombus agent was loaded to the fibrous mat and values were reflected through FT-IR data. In vitro study, SEM and MTT data showed that the component was of excellent biocompatibility and cell proliferation. In in vivo study, the artificial blood vessel was implanted in a dog's artery. The results of the CT scan, ultrasound and H&E staining showed that artificial blood vessel was excellent for artery replacement applications.

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Development of Mass Proliferation Control Algorithm of Phytoplankton Using Artificial Neural Network (인공신경망을 이용한 식물플랑크톤의 대량 증식 제어 알고리즘 개발)

  • Seonghwa Park;Jonggu Kim;Minsun Kwon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.435-444
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    • 2023
  • Suitable environmental conditions in Saemangeum frequently favor phytoplankton growth. There have been occurrences of sudden phytoplankton blooms, surpassing the algae management standards. A model was designed to prevent such blooms using scientific predictive techniques to forecast and regulate the possibility of phytoplankton blooms. We propose effective and efficient algae control measures concerning every phytoplankton species optimized through the policy control of nutrients (DIN, PO4-P) from rivers and controlling lake salinity using gate operations. The probability of phytoplankton blooms was initially forecast using an artificial neural network algorithm based on observations. The model's Kappa number fluctuated from 0.7889 to 1.0000, indicating good to excellent predictive power. The Garson algorithm was then utilized to assess the significance of explanatory variables for every species. Meanwhile, the probability of phytoplankton blooms was anticipated depending on the DIN and salinity value changes. Therefore, the model predicted the precise DIN and salinity concentrations to inhibit phytoplankton blooms for each species. Hence, the green algae model can create effective proactive measures to avoid future phytoplankton blooms in enormous artificial lakes.