• Title/Summary/Keyword: Matrix laboratory

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Flow Lab. : Flow Visualization and Simulation (핵종이동 가시적 현상관찰및 수치모사)

  • Park Chung-Kyun;Cho Won-Jin;Hahn Pi1-Soo
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2005.11a
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    • pp.134-142
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    • 2005
  • The experimental setups for flow visualization and processes identification in laboratory scale (so cal led Flow Lab.) has developed to get ideas and answer fundamental questions of flow and migration in geologic media. The setup was made of a granite block of $50{\times}50cm$ scale and a transparent acrylate plate. The tracers used in this experiments were tritiated water, anions, and sorbing cations as well as an organic dye, eosine, to visualize migration paths. The migration plumes were taken with a digital camera as a function of time and stored as digital images. A migration model was also developed to describe and identify the transport processes. Computer simulation was carried out not only for the hydraulic behavior such as distributions of pressure and flow vectors in the fracture but also for the migration plume and the elution curves.

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Fungal Growth and Manganese Peroxidase Production in a Deep Tray Solid-State Bioreactor, and In Vitro Decolorization of Poly R-478 by MnP

  • Zhao, Xinshan;Huang, Xianjun;Yao, Juntao;Zhou, Yue;Jia, Rong
    • Journal of Microbiology and Biotechnology
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    • v.25 no.6
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    • pp.803-813
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    • 2015
  • The growth of Irpex lacteus F17 and manganese peroxidase (MnP) production in a selfdesigned tray bioreactor, operating in solid-state conditions at a laboratory scale, were studied. The bioreactor was divided into three layers by three perforated trays. Agroindustrial residues were used both as the carrier of bound mycelia and as a nutrient medium for the growth of I. lacteus F17. The maximum biomass production in the bioreactor was detected at 60 h of fermentation, which was consistent with the CO2 releasing rate by the fungus. During the stationary phase of fungal growth, the maximum MnP activity was observed, reaching 950 U/l at 84 h. Scanning electron microscopy images clearly showed the growth situation of mycelia on the support matrix. Furthermore, the MnP produced by I. lacteus F17 in the bioreactor was isolated and purified, and the internal peptide sequences were also identified with mass spectrometry. The optimal activity of the enzyme was detected at pH 7 and 25℃, with a long half-life time of 9 days. In addition, the MnP exhibited significant stability within a broad pH range of 4-7 and at temperature up to 55℃. Besides this, the MnP showed the ability to decolorize the polymeric model dye Poly R-478 in vitro.

Three-dimensional Bio-printing Technique: Trend and Potential for High Volume Implantable Tissue Generation

  • Duong, Van-Thuy;Kim, Jong Pal;Kim, Kwangsoo;Ko, Hyoungho;Hwang, Chang Ho;Koo, Kyo-in
    • Journal of Biomedical Engineering Research
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    • v.39 no.5
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    • pp.188-207
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    • 2018
  • Recently, three-dimensional (3D) printing of biological tissues and organ has become an attractive interdisciplinary research topic that combines a broad range of fields including engineering, biomaterials science, cell biology, physics, and medicine. The 3D bioprinting can be used to produce complex tissue engineering scaffolds based on computer designs obtained from patient-specific anatomical data. It is a powerful tool for building structures by printing cells together with matrix materials and biochemical factors in spatially predefined positions within confined 3D structures. In the field of the 3D bioprinting, three major categories of the 3D bioprinting include the stereolithography-based, inkjet-based, and dispensing-based bioprinting. Some of them have made significant process. Each technique has its own advantages and limitations. Compared with non-biological printing, the 3D bioprinting should consider additional complexities: biocompatibility, degradability of printing materials, cell types, cell growth, cell viability, and cell proliferation factors. Numerous 3D bioprinting technologies have been proposed, and some of them have been making great progress in printing several tissues including multilayered skin, cartilaginous structures, bone, vasculature even heart and liver. This review summarizes basic principles and key aspects of some frequently utilized printing technologies, and introduces current challenges, and prospects in the 3D bioprinting.

In situ Hybricization of White Spot Disease Virus Experimentally Infected Penaeid Shrimp

  • Lee, Won-Woo;Lee, Beom-Jue;Lee, Yeon-Hee;Lee, Yong-Soon;Park, Jae-Hak
    • Journal of Microbiology and Biotechnology
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    • v.10 no.2
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    • pp.215-220
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    • 2000
  • Abstract White spot disease (WSD), resulting in more than 90% mortality of aquacultured penaeid shrimp, has been reported off the southern and western coasts of Korea since 1993. The pafuogen of WSD has been identified as being a virion wifu an envelope around a central nucleocapsid, and with an average size of 167 nm in diameter and 375 nm in length. In the present study, an in situ hybridization technique was developed as a rapid. sensitive, and specific diagnostic assay for the WSD viros infection in shrimp. Furthermore. the pathological changes ofWSD, in shrimp experimentally infected with WSD viroses. were investigated. Using a biotinylated 643 bp probe obtained from a peR using primers specific to the rod-shaped virus of Penaeus japonicus (RV-PJ), positive signals were detected in both naturally and experimentally infected shrimps. The in situ hybridization revealed positive reactions in the nuclei of the stromal matrix cells in the lymphoid organ, epithelia of the gills, foregut. epidermis, and hematopoietic cells of the interstitial tissues, suggesting the presence of WSD virus. Tills result indicates that the in situ hybridization method can be useful for a rapid and sensitive detection of WSD viruses in shrimp.shrimp.

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Effect of Grape Seed Proanthocyanidins on Tumor Vasculogenic Mimicry in Human Triple-negative Breast Cancer Cells

  • Luan, Yun-Yan;Liu, Zi-Min;Zhong, Jin-Yi;Yao, Ru-Yong;Yu, Hong-Sheng
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.2
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    • pp.531-535
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    • 2015
  • Vasculogenic mimicry (VM) refers to the unique ability of highly aggressive tumor cells to mimic the pattern of embryonic vasculogenesis, which was associated with invasion and metastasis. The grape seed proanthocyanidins (GSPs) had attracted much attention as a potential bioactive anti-carcinogenic agent. However, GSPs regulation of VM and its possible mechanisms in a triple-negative breast cancer cells (TNBCs) remain not clear. Therefore, we examined the effect of GSPs on VM information in HCC1937 cell model. In this study, we identified the VM structure via the three-dimensional (3D) matrix in vitro. Cell viability was measured using the CCK8 assay. The effects of GSPs on human triple-negative breast cancer cells (TNBCs) HCC1937 in terms of related proteins of VM information were determined using western blot analysis. In vitro, the tubular networks were found in highly invasive HCC1937 cells but not in the non-invasive MCF-7 cells when plated on matrigel. The number of vascular channels was significantly reduced when cells were exposed in GSPs ($100{\mu}g$/ml) and GSPs ($200{\mu}g/mL$) groups (all p<0.001). Furthermore, we found that treatment with GSPs promoted transition of the mesenchymal state to the epithelial state in HCC1937 cells as well as reducing the expression of Twist1 protein, a master EMT regulator.GSPs has the ability to inhibit VM information by the suppression of Twist1 protein that could be related to the reversal of epithelial-to-mesenchymal (EMT) process. It is firstly concluded that GSPs may be an p otential anti-VM botanical agent for human TNBCs.

Development of Artificial Neural Network Model for Predicting the Optimal Setback Application of the Heating Systems (난방시스템 최적 셋백온도 적용시점 예측을 위한 인공신경망모델 개발)

  • Baik, Yong Kyu;Yoon, younju;Moon, Jin Woo
    • KIEAE Journal
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    • v.16 no.3
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    • pp.89-94
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    • 2016
  • Purpose: This study aimed at developing an artificial neural network (ANN) model to predict the optimal start moment of the setback temperature during the normal occupied period of a building. Method: For achieving this objective, three major steps were conducted: the development of an initial ANN model, optimization of the initial model, and performance tests of the optimized model. The development and performance testing of the ANN model were conducted through numerical simulation methods using transient systems simulation (TRNSYS) and matrix laboratory (MATLAB) software. Result: The results analysis in the development and test processes revealed that the indoor temperature, outdoor temperature, and temperature difference from the setback temperature presented strong relationship with the optimal start moment of the setback temperature; thus, these variables were used as input neurons in the ANN model. The optimal values for the number of hidden layers, number of hidden neurons, learning rate, and moment were found to be 4, 9, 0.6, and 0.9, respectively, and these values were applied to the optimized ANN model. The optimized model proved its prediction accuracy with the very storing statistical correlation between the predicted values from the ANN model and the simulated values in the TRNSYS model. Thus, the optimized model showed its potential to be applied in the control algorithm.

Nonstandard Machine Learning Algorithms for Microarray Data Mining

  • Zhang, Byoung-Tak
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2001.10a
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    • pp.165-196
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    • 2001
  • DNA chip 또는 microarray는 다수의 유전자 또는 유전자 조각을 (보통 수천내지 수만 개)칩상에 고정시켜 놓고 DNA hybridization 반응을 이용하여 유전자들의 발현 양상을 분석할 수 있는 기술이다. 이러한 high-throughput기술은 예전에는 생각하지 못했던 여러가지 분자생물학의 문제에 대한 해답을 제시해 줄 수 있을 뿐 만 아니라, 분자수준에서의 질병 진단, 신약 개발, 환경 오염 문제의 해결 등 그 응용 가능성이 무한하다. 이 기술의 실용적인 적용을 위해서는 DNA chip을 제작하기 위한 하드웨어/웻웨어 기술 외에도 이러한 데이터로부터 최대한 유용하고 새로운 지식을 창출하기 위한 bioinformatics 기술이 핵심이라고 할 수 있다. 유전자 발현 패턴을 데이터마이닝하는 문제는 크게 clustering, classification, dependency analysis로 구분할 수 있으며 이러한 기술은 통계학과인공지능 기계학습에 기반을 두고 있다. 주로 사용된 기법으로는 principal component analysis, hierarchical clustering, k-means, self-organizing maps, decision trees, multilayer perceptron neural networks, association rules 등이다. 본 세미나에서는 이러한 기본적인 기계학습 기술 외에 최근에 연구되고 있는 새로운 학습 기술로서 probabilistic graphical model (PGM)을 소개하고 이를 DNA chip 데이터 분석에 응용하는 연구를 살펴본다. PGM은 인공신경망, 그래프 이론, 확률 이론이 결합되어 형성된 기계학습 모델로서 인간 두뇌의 기억과 학습 기작에 기반을 두고 있으며 다른 기계학습 모델과의 큰 차이점 중의 하나는 generative model이라는 것이다. 즉 일단 모델이 만들어지면 이것으로부터 새로운 데이터를 생성할 수 있는 능력이 있어서, 만들어진 모델을 검증하고 이로부터 새로운 사실을 추론해 낼 수 있어 biological data mining 문제에서와 같이 새로운 지식을 발견하는 exploratory analysis에 적합하다. 또한probabilistic graphical model은 기존의 신경망 모델과는 달리 deterministic한의사결정이 아니라 확률에 기반한 soft inference를 하고 학습된 모델로부터 관련된 요인들간의 인과관계(causal relationship) 또는 상호의존관계(dependency)를 분석하기에 적합한 장점이 있다. 군체적인 PGM 모델의 예로서, Bayesian network, nonnegative matrix factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.

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Heat Shock Protein $90{\beta}$ Inhibits Phospholipase $C{\gamma}-1$ Activity in vitro

  • Cho, Sang-Min;Kim, Sung-Kuk;Chang, Jong-Soo
    • Biomedical Science Letters
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    • v.12 no.4
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    • pp.419-425
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    • 2006
  • Phospholipase $C-{\gamma}1\;(PLC-{\gamma}1)$ is an important signaling molecule for cell proliferation and differentiation. $PLC-{\gamma}1$ contains two pleckstrin homology (PH) domains, which are responsible for protein-protein interaction and protein-lipid interaction. $PLC-{\gamma}1$ also has two Src homology (SH)2 domains and a SH3 domain, which are responsible for protein- protein interaction. To identity proteins that specifically binds to PH domain of $PLC-{\gamma}1$, we prepared and incubated the glutathione S-transferase(GST)-fused PH domains of $PLC-{\gamma}1$ with COS7 cell lysate. We found that 90 kDa protein specifically binds to PH domain of $PLC-{\gamma}1$. By matrix-assisted laser desorption ionization time of flight-mass spectrometry, the 90 kDa protein revealed to be heat shock protein (Hsp) $90{\beta}$. Hsp $90{\beta}$ is a molecular chaperone that stabilizes and facilitates the folding of proteins that are involved in cell signaling, including receptors for steroids hormones and a variety of protein kinases. To know whether Hsp $90{\beta}$ affects on $PLC-{\gamma}1$ activity, we performed $PIP_2$ hydrolyzing activity of $PLC-{\gamma}1$ in the presence of purified Hsp $90{\beta}$ in vitro. Our results show that the Hsp $90{\beta}$ dose-dependently inhibits the enzymatic activity of $PLC-{\gamma}1$ and further suggest that Hsp $90{\beta}$ regulates cell growth and differentiation via regulation of $PLC-{\gamma}1$ activity.

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Novel Anti-Angiogenic Activity in Rubus coreanus Miquel Water Extract Suppresses VEGF-Induced Angiogenesis

  • Kim, Eok-Cheon;Kim, Hye Jin;Kim, Tack-Joong
    • Biomedical Science Letters
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    • v.20 no.4
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    • pp.209-220
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    • 2014
  • Vascular endothelial growth factor (VEGF) is a key factor involved in the induction of angiogenesis and has become an attractive target for anti-angiogenesis therapies. The purpose of this study was to elucidate the anti-angiogenic activity of Rubus coreanus Miquel water extract (RCME). Rubus coreanus Miquel has long been employed as a traditional medicine, and recent studies have demonstrated that it has measureable biological activities. Thus, we investigated for the first time the effect of RCME on angiogenesis and its underlying signaling pathways. The effects of RCME were tested on in vitro models of angiogenesis, namely, proliferation, migration, invasion and tube formation of human umbilical vein endothelial cells as well as an ex vivo model of vessel sprouting from the rat aorta in response to VEGF. We observed that VEGF-induced angiogenesis was strongly suppressed by RCME treatment compared to that of the control group. Moreover, we found that RCME inhibited VEGF-induced activation of matrix metalloproteinases and phosphorylation of extracellular signal-regulated kinase and p38, and also effectively inhibited phosphorylation of VEGF receptor 2. These results indicated that RCME inhibits angiogenesis by suppressing phosphorylation of the VEGF receptor and may be useful for the treatment of angiogenesis-dependent diseases such as cancer and diabetic retinopathy.

Validation of a CFD Analysis Model for the Calculation of CANDU6 Moderator Temperature Distribution (CANDU6 감속재 온도분포 계산을 위한 CFD 해석모델의 타당성 검토)

  • Yoon, Churl;Rhee, Bo-Wook;Min, Byung-Joo
    • Proceedings of the KSME Conference
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    • 2001.11b
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    • pp.499-504
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    • 2001
  • A validation of a 3D CFD model for predicting local subcooling of moderator in the vicinity of calandria tubes in a CANDU reactor is performed. The small scale moderator experiments performed at Sheridan Park Experimental Laboratory(SPEL) in Ontario, Canada[1] is used for the validation. Also a comparison is made between previous CFD analyses based on 2DMOTH and PHOENICS, and the current model analysis for the same SPEL experiment. For the current model, a set of grid structures for the same geometry as the experimental test section is generated and the momentum, heat and continuity equations are solved by CFX-4.3, a CFD code developed by AEA technology. The matrix of calandria tubes is simplified by the porous media approach. The standard $k-\varepsilon$ turbulence model associated with logarithmic wall treatment and SIMPLEC algorithm on the body fitted grid are used and buoyancy effects are accounted for by the Boussinesq approximation. For the test conditions simulated in this study, the flow pattern identified is a buoyancy-dominated flow, which is generated by the interaction between the dominant buoyancy force by heating and inertial momentum forces by the inlet jets. As a result, the current CFD moderator analysis model predicts the moderator temperature reasonably, and the maximum error against the experimental data is kept at less than $2.0^{\circ}C$ over the whole domain. The simulated velocity field matches with the visualization of SPEL experiments quite well.

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