• 제목/요약/키워드: Biological analysis

검색결과 7,521건 처리시간 0.033초

Analysis of the Dimerization of Human CD99 Using Bimolecular Fluorescence Complementation Technique

  • Lee, Mi-Kyung;Kim, Hyun-Soo;Kim, Seung-Seok;Cho, Myung-Hwan;Lee, Im-Soon
    • Journal of Microbiology and Biotechnology
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    • 제18권3호
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    • pp.472-476
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    • 2008

  • Two isoforms of human CD99 have been identified, but only heterotypic interaction between the isomers was recently demonstrated. In this study, we performed bimolecular fluorescence complementation analysis to further characterize the interaction in vivo. Upon transiently transfecting plasmids expressing either of the two isoforms fused with yellow fluorescent protein (YFP) fragments, all the YFP-tagged CD99 molecules were properly localized on cell surfaces, and formed fluorescent dimers. Interestingly, however, unlike the previous report, the homodimers formed as efficiently as the heterodimer via their extracellular domains, implying its distinct regulatory role through modulating the complex profile.

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A Measurement System for Rounded Shoulder Posture using a Wearable Stretch Sensor

  • Nguyen, Manh Thang;Dang, Quoc Khanh;Kim, Younghoon;Chee, Youngjoon
    • 대한의용생체공학회:의공학회지
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    • 제39권1호
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    • pp.10-15
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    • 2018

  • In this paper, we present a wearable measurement system for monitoring rounded shoulders. The system contains a shoulder correction band and a stretch sensor that can correct and measure shoulder posture, respectively. The capacitance of the stretch sensor changes linearly according to changes in the shoulders. To verify measurement, a motion analysis system was used as the reference to compare the change in the rounded angles of the shoulders and the change in the stretch sensor's capacitance. The results indicated that there is a high correlation between the two changes and the system can be used as a monitoring device for rounded shoulders.

  • https://doi.org/10.9718/JBER.2018.39.1.10 인용 PDF KSCI

PathTalk: Interpretation of Microarray Gene-Expression Clusters in Association with Biological Pathways

  • Chung, Tae-Su;Chung, Hee-Joon;Kim, Ju-Han
    • Genomics & Informatics
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    • 제5권3호
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    • pp.124-128
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    • 2007

  • Microarray technology enables us to measure the expression of tens of thousands of genes simultaneously under various experimental conditions. Clustering analysis is one of the most successful methods for analyzing microarray data using the assumption that co-expressed genes may be co-regulated. It is important to extract meaningful clusters from a long unordered list of clusters and to evaluate the functional homogeneity and heterogeneity of clusters. Many quality measures for clustering results have been suggested in different conditions. In the present study, we consider biological pathways as a collection of biological knowledge and used them as a reference for measuring the quality of clustering results and functional homogeneities. PathTalk visualizes and evaluates functional relationships between gene clusters and biological pathways.

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A Novel Hyperspectral Microscopic Imaging System for Evaluating Fresh Degree of Pork

  • Xu, Yi;Chen, Quansheng;Liu, Yan;Sun, Xin;Huang, Qiping;Ouyang, Qin;Zhao, Jiewen
    • 한국축산식품학회지
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    • 제38권2호
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    • pp.362-375
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    • 2018

  • This study proposed a rapid microscopic examination method for pork freshness evaluation by using the self-assembled hyperspectral microscopic imaging (HMI) system with the help of feature extraction algorithm and pattern recognition methods. Pork samples were stored for different days ranging from 0 to 5 days and the freshness of samples was divided into three levels which were determined by total volatile basic nitrogen (TVB-N) content. Meanwhile, hyperspectral microscopic images of samples were acquired by HMI system and processed by the following steps for the further analysis. Firstly, characteristic hyperspectral microscopic images were extracted by using principal component analysis (PCA) and then texture features were selected based on the gray level co-occurrence matrix (GLCM). Next, features data were reduced dimensionality by fisher discriminant analysis (FDA) for further building classification model. Finally, compared with linear discriminant analysis (LDA) model and support vector machine (SVM) model, good back propagation artificial neural network (BP-ANN) model obtained the best freshness classification with a 100 % accuracy rating based on the extracted data. The results confirm that the fabricated HMI system combined with multivariate algorithms has ability to evaluate the fresh degree of pork accurately in the microscopic level, which plays an important role in animal food quality control.

  • https://doi.org/10.5851/kosfa.2018.38.2.362 인용 PDF KSCI