• Title/Summary/Keyword: expression vectors

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Depth Image-Based Human Action Recognition Using Convolution Neural Network and Spatio-Temporal Templates (시공간 템플릿과 컨볼루션 신경망을 사용한 깊이 영상 기반의 사람 행동 인식)

  • Eum, Hyukmin;Yoon, Changyong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.10
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    • pp.1731-1737
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    • 2016
  • In this paper, a method is proposed to recognize human actions as nonverbal expression; the proposed method is composed of two steps which are action representation and action recognition. First, MHI(Motion History Image) is used in the action representation step. This method includes segmentation based on depth information and generates spatio-temporal templates to describe actions. Second, CNN(Convolution Neural Network) which includes feature extraction and classification is employed in the action recognition step. It extracts convolution feature vectors and then uses a classifier to recognize actions. The recognition performance of the proposed method is demonstrated by comparing other action recognition methods in experimental results.

Implications of Exonuclease Activity of Bacteriophage P2 Old Protein for Lambda Exclusion

  • Kim, Kwang-Ho;Park, Chan-Hee;Yeo, Hyeon-Joo;Kee, Young-Hoon;Park, Jung-Chan;Myung, Hee-Joon
    • Journal of Microbiology and Biotechnology
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    • v.10 no.2
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    • pp.272-274
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    • 2000
  • Temperate bacteriophage P2 has a nonessential gene called old(overcoming lysoginization defection). In the presence of old, the growth of the host (Escherichia coli) with recBC- genotype is ingibited, and another bacteriophage, lambda, cannot superinfect. The Old protein has been shown to possess an exonuclease actibity. Three mutant P2s(old 1, old 17, old 49) which did gene was coned into expression vectors to produce hexahistidine-tagged proteins. The proteins were affinity-purified and shown to lose its exonuclease activity on both double-stranded and single-stranded DNA substrates. Thus, it was concluded that the lambda exclusion was related to Old's exonuclease activity.

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A Multimodal Emotion Recognition Using the Facial Image and Speech Signal

  • Go, Hyoun-Joo;Kim, Yong-Tae;Chun, Myung-Geun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.1
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    • pp.1-6
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    • 2005
  • In this paper, we propose an emotion recognition method using the facial images and speech signals. Six basic emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Facia] expression recognition is performed by using the multi-resolution analysis based on the discrete wavelet. Here, we obtain the feature vectors through the ICA(Independent Component Analysis). On the other hand, the emotion recognition from the speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and the final recognition is obtained from the multi-decision making scheme. After merging the facial and speech emotion recognition results, we obtained better performance than previous ones.

Screening of Promoter Sequences from Lactic Acid Bacteria Using a Promoter-Selection Vector (Promoter-Selection Vector를 사용한 유산균 Promoter의 탐색)

  • 우승희;김갑석
    • KSBB Journal
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    • v.11 no.4
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    • pp.504-509
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    • 1996
  • Promoters which are useful for constructing expression vectors for lactic acid bacteria were obtained from the chromosomal DNA of Lactococcus lactis ssp. lactis MG1363. pBV5030, a promoter-selection vector, replicates in L. lactis and Escherichia coli and carries a promoterless chloramphenicol acetyltransferase gene (cat-86). After examining E. coli transformants which grew on LB media containing chloramphenicol (Cm, 20$\mu\textrm{g}$/mL) , many MG1363 derived DNA fragments which encompass promoter sequences were identified. Some recombinant E. coli cells can grow at the Cm concentration of 1,000$\mu\textrm{g}$/mL. When plasmids from those highly resistant E. coli cells were purified and introduced into L. lactis ssp. lactis MG1614 cells by electroporation, lactococcal transformants showing Cm resistance were obtained. So far, five plasmids with different promoter inserts were introduced into L. lactis MGl614 cells. The maximum level of Cm resistance in L. lactis MG1614 transformants was quite low (20$\mu\textrm{g}$/mL) when compared with that observed in recombinant E. coli cells harboring the same plasmids.

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Retroviral integration profiles: their determinants and implications for gene therapy

  • Lim, Kwang-Il
    • BMB Reports
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    • v.45 no.4
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    • pp.207-212
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    • 2012
  • Retroviruses have often been used for gene therapy because of their capacity for the long-term expression of transgenes via stable integration into the host genome. However, retroviral integration can also result in the transformation of normal cells into cancer cells, as demonstrated by the incidence of leukemia in a recent retroviral gene therapy trial in Europe. This unfortunate outcome has led to the rapid initiation of studies examining various biological and pathological aspects of retroviral integration. This review summarizes recent findings from these studies, including the global integration patterns of various types of retroviruses, viral and cellular determinants of integration, implications of integration for gene therapy and retrovirus-mediated infectious diseases, and strategies to shift integration to safe host genomic loci. A more comprehensive and mechanistic understanding of retroviral integration processes will eventually make it possible to generate safer retroviral vector platforms in the near future.

Enhancement of Gene Delivery to Cancer Cells by a Retargeted Adenovirus

  • Oh Kwang Seok;Engler Jeffrey A.;Joung In Sil
    • Journal of Microbiology
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    • v.43 no.2
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    • pp.179-182
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    • 2005
  • The inefficiency of in vivo gene transfer using currently available vectors reflects a major hurdle in cancer gene therapy. Both viral and non-viral approaches that improve gene transfer efficiency have been described, but suffer from a number of limitations. Herein, a fiber-modified adenovirus, carrying the small peptide ligand on the capsid, was tested for the delivery of a transgene to cancer cells. The fiber-modified adenovirus was able to mediate the entry and expression of a $\beta$-galactosidase into cancer cells with increased efficiency compared to the unmodified adenovirus. Particularly, the gene transfer efficiency was improved up to 5 times in OVCAR3 cells, an ovarian cancer cell line. Such transduction systems hold promise for delivering genes to transferrin receptor overexpressing cancer cells, and could be used for future cancer gene therapy.

Extracellular Production of Alpha-Interferon by Recombinant Escherichia coli: Part III. Gene Expression for Product Formation (유전자 재조합 대장균을 사용한 Alpha-Interferon의 생산과 분비: 제3부: Interferon생산을 위한 유전자의 발현)

  • 노갑수;최차용
    • KSBB Journal
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    • v.5 no.3
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    • pp.293-298
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    • 1990
  • Alpha-interferon was produced by using recombinant Escherichia coli strains, which carry cloned alpha-interferon gene in plasmid vectors, pIF-III-B and pIF-III-C. With the aid of signal sequence of E. coli lipoprotein, which is placed right in front of the upstream of the cloned alpha-interferon gene of the plasmids, about 50% of alpha-interferon produced was excreted or secreted. Meanwhile, there was no extracellular production of alpha-interferon from the recombinant strain carrying the plasmid Hif-2h that lacks the signal sequence of lipoprotein.

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Design of Bacterial Vector Systems for the Production of Recombinant Proteins in Escherichia coli

  • Mergulhao;Filipe J.M.;Gabriel A. Monteiro;Joaquim M.S. Cabral;M. Angela Taipa
    • Journal of Microbiology and Biotechnology
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    • v.14 no.1
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    • pp.1-14
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    • 2004
  • More than twenty years have passed since the approval of the first recombinant DNA product for therapeutic use (recombinant human insulin, 1982). However, the biotechnology industry is still facing a shortage of manufacturing capacity due to the increasing demand of therapeutic proteins. This demand has prompted the search for a growing number of biological production systems but, nevertheless, the Gram-negative bacterium Escherichia coli remains one of the most attractive production hosts. This review highlights the most important features and developments of plasmid vector design, emphasizing the different reported strategies for improving the expression and secretion of heterologous proteins using the cellular machinery of E. coli.

SYNERGISTIC EFFECT OF HUMAN CYTOCHROME B5 COEXPRESSION ON THE METABOLIC ACTIVITY OF CYP1A2 IN CHINESE HAMSTER OVARY CELLS

  • Kang, Jin-Sun;Kang, Hyuck-Joon;Dong, Mi-Sook;Park, Chang-Hwan
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2001.10a
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    • pp.188-188
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    • 2001
  • Human cytochrome B5 (CYB5) was coexpressed with cytochrome P450 1A2 (CYP1A2), NADPH-CYP450 reductase (CYPR) and Ν-acetyltransferase 2 (NAT2) in Chinese hamster ovary (CHO) cells. The expression of four proteins was determined by Western blot analyses. The introduction of cDNAs to CHO cells were transduced via retroviral vectors. The cytotoxicity assay of 2-aminoanthracene (2-AA) and aflatoxin B$_1$were approximately 4-fold more sensitive than CYB5 free cells.(omitted)

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An Improved PSO Algorithm for the Classification of Multiple Power Quality Disturbances

  • Zhao, Liquan;Long, Yan
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.116-126
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    • 2019
  • In this paper, an improved one-against-one support vector machine algorithm is used to classify multiple power quality disturbances. To solve the problem of parameter selection, an improved particle swarm optimization algorithm is proposed to optimize the parameters of the support vector machine. By proposing a new inertia weight expression, the particle swarm optimization algorithm can effectively conduct a global search at the outset and effectively search locally later in a study, which improves the overall classification accuracy. The experimental results show that the improved particle swarm optimization method is more accurate than a grid search algorithm optimization and other improved particle swarm optimizations with regard to its classification of multiple power quality disturbances. Furthermore, the number of support vectors is reduced.