• 제목/요약/키워드: Medical college

검색결과 30,787건 처리시간 0.051초

Cloning and Biochemical Characterization of a Hyaluronate Lyase from Bacillus sp. CQMU-D

  • Lu Wang;Qianqian Liu;Xue Gong;Wenwen Jian;Yihong Cui;Qianying Jia;Jibei Zhang;Yi Zhang;Yanan Guo;He Lu;Zeng Tu
    • Journal of Microbiology and Biotechnology
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    • 제33권2호
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    • pp.235-241
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    • 2023
  • Hyaluronidase (HAase) can enhance drug diffusion and dissipate edema by degrading hyaluronic acid (HA) in the extracellular matrix into unsaturated HA oligosaccharides in mammalian tissues. Microorganisms are recognized as valuable sources of HAase. In this study, a new hyaluronate lyase (HAaseD) from Bacillus sp. CQMU-D was expressed in Escherichia coli BL21, purified, and characterized. The results showed that HAaseD belonged to the polysaccharide lyase (PL) 8 family and had a molecular weight of 123 kDa. HAaseD could degrade chondroitin sulfate (CS) -A, CS-B, CS-C, and HA, with the highest activity toward HA. The optimum temperature and pH value of HAaseD were 40℃ and 7.0, respectively. In addition, HAaseD retained stability in an alkaline environment and displayed higher activity with appropriate concentrations of metal ions. Moreover, HAaseD was an endolytic hyaluronate lyase that could degrade HA to produce unsaturated HA oligosaccharides. Together, our findings indicate that HAaseD from Bacillus sp. CQMU-D is a new hyaluronate lyase and with excellent potential for application in industrial production.

연세대학교 의과대학 편입학 학생들의 GPA 분석 (Analysis of Academic Achievement of Transferred Medical Students in Yonsei University College of Medicine)

  • 이승희;양은배;전우택
    • 의학교육논단
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    • 제9권2호
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    • pp.41-48
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    • 2007
  • Yonsei University College of Medicine is about to adopt a new admission system in 2009 for postgraduate medical school. in which 4-year college graduates apply to it, instead of applying of high school graduates to undergraduate medical school. For preparing the new system, now, an admission policy is being intensively investigated. In the present admission system in Yonsei College of Medicine, college or university graduates with diverse majors such as pharmacy, biochemistry, engineering, social science and so on other than a medical major can be transferred into the undergraduate medical course when vacancy for enrollment is available. This study was performed to analyze the academic achievement of the transferred students for establishing a new admission system. In this study, the GPAs of 94 medical students transferred for 1998 to 2006 years were analyzed regarding academic and personal background, and compared with those of untrans- ferred medical students. The results showed some features. Particularly, the GPAs of transferred students with t he majors of art and social sciences were not lower than those with the major of natural sciences while transferred students with majors of pharmacy. veterinary science, nursing science, and biotechnology had their high academic achievements during the undergraduate medical courses.

Pathogenicity of Korean Winter Dysentery (WD) Bovine Coronavirus to Calves

  • Jeong, Jae-Ho;Kim, Gye-Yeop;Yoon, Soon-Seek;Park, Su-Jin;Kim, You-Jung;Sung, Chang-Min;Shin, Sung-Shik;Lee, Bong-Ju;Koh, Hong-Bum;Lee, Chai-Yong;Park, Nam-Yong;Kang, Mun-Il;Cho, Kyoung-Oh
    • 한국수의병리학회:학술대회논문집
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    • 한국수의병리학회 2004년도 추계 학술대회 초록집
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    • pp.42-42
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    • 2004
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An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research

  • Sungchul Kim;Sungman Cho;Kyungjin Cho;Jiyeon Seo;Yujin Nam;Jooyoung Park;Kyuri Kim;Daeun Kim;Jeongeun Hwang;Jihye Yun;Miso Jang;Hyunna Lee;Namkug Kim
    • Korean Journal of Radiology
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    • 제22권12호
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    • pp.2073-2081
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    • 2021
  • Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

Bicluster and Pathway Enrichment Analysis of HCV-induced Cirrhosis and Hepatocellular Carcinoma

  • Cheng, Peng;Cheng, You;Su, Mei X.;Li, Dong;Zhao, Guo Z.;Gao, Hui;Li, Yan;Zhu, Jie Y.;Li, Hua;Zhang, Tao
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권8호
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    • pp.3741-3745
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    • 2012
  • Background: Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide and the most common form of liver cancer. However, while it is associated frequently with hepatitis C virus (HCV) there is only an elementary understanding of its molecular pathogenesis. Methods: To gain insight into the molecular mechanisms of HCV-induced hepatocarcinogenesis, we performed microarray analysis on 75 surgical liver samples from 48 HCV-infected patients. Results: There were 395 differentially expressed geness between cirrhotic samples and HCC samples. Of these, 125 genes were up-regulated and 270 genes were down-regulated. We performed pathway enrichment analysis and screened as described previously. Conclusions: The differentially expressed genes might be involved in hepatocarcinogenesis through upregulating the pathways of ECM-receptor interaction, focal adhesion, cell adhesion molecules and other cancer-related pathways, and downregulating the pathways of "complement and coagulation cascades". We hope our results could aid in seeking of therapeutic targets for HCV-induced hepatocellular carcinoma.