http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
개별검색 DB통합검색이 안되는 DB는 DB아이콘을 클릭하여 이용하실 수 있습니다.
통계정보 및 조사
예술 / 패션
<해외전자자료 이용권한 안내>
- 이용 대상 : RISS의 모든 해외전자자료는 교수, 강사, 대학(원)생, 연구원, 대학직원에 한하여(로그인 필수) 이용 가능
- 구독대학 소속 이용자: RISS 해외전자자료 통합검색 및 등록된 대학IP 대역 내에서 24시간 무료 이용
- 미구독대학 소속 이용자: RISS 해외전자자료 통합검색을 통한 오후 4시~익일 오전 9시 무료 이용
※ 단, EBSCO ASC/BSC(오후 5시~익일 오전 9시 무료 이용)
Background: The grey zone of cervical cytology, and in particular atypical squamous cells, cannot exclude HSIL (ASC-H) causes diagnostic difficulties and increases medical expenses. We analyzed p16INK4a expression in ASC-H liquid-based cytology specimens (LBCS) to develop more effective methods for the management of ASC-H patients. Methods: We carried out p16INK4a immunostaining with 57 LBCS of ASC-H diagnostic categories, all of which were histologically cofirmed and 43 cases of which were compared with the results of a human papillomavirus (HPV) chip test. Results: p16INK4a immunostaining with ASC-H LBCS was positive in 20% (3/15) of cervicitis, 25.0% (3/12) of tissue-low-grade squamous intraepithelial lesion, 75.0% (18/24) of tissue-high grade squamous intraepithelial lesion (HSIL), and 100% (6/6) of invasive cancer cases. The positivity of p16INK4a in LBCS was correlated with higher grade of histologic diagnosis (r=0.578, p=0.000). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of p16INK4a immunostaining for the prediction of tissue-HSIL+ were 80.0%, 77.8%, 80.0%, and 77.8%, respectively. The sensitivity, specificity, PPV, and NPV of p16INK4a immunostaining plus HPV chip test for predicting tissue-HSIL+ were 71.2%, 86.4%, 84.2%, and 79.2%. Conclusions: p16INK4a immunostaining as well as HPV chip testing with remaining LBCS with ASC-H are useful objective markers for the prediction of tissue-HSIL+.
Retroviral integration provides us with a powerful tool to realize prolonged gene expressions that are often critical to gene therapy. However, the perturbation of gene regulations in host cells by viral genome integration can lead to detrimental effects, yielding cancer. The oncogenic potential of retroviruses is linked to the preference of retroviruses to integrate into genomic regions that are enriched in gene regulatory elements. To better navigate the double-edged sword of retroviral integration we need to understand how retroviruses select their favored genomic loci during infections. In this study I showed that in addition to host proteins that tether retroviral pre-integration complexes to specific genomic regions, the epigenetic architecture of host genome might strongly affect retroviral integration patterns. Specifically, retroviruses showed their characteristic integration preference in differentiated somatic cells. In contrast, retroviral infections of hES cells, which are known to display decondensed chromatin, produced random-like integration patterns lacking of strong preference for regulatory-element-rich genomic regions. Better identification of the cellular and viral factors that determine retroviral integration patterns will facilitate the design of retroviral vectors for safer use in gene therapy.
The research for speech quality improvement of the linear predictive vocoding is under way in two points of view: an accurate extraction of vocal tract parameter and a modeling of excitation signal in a speech production model. This paper proposes the new hybrid excitation model for linear predictive vocoding which gives an improved speech quality over that of a conventional excitation model, and an evident data compression effect over that of a typical multi-pulse excitation model. To verify the validity of the proposed model, a computer simulation is carried out. It is observed that the proposed excitation model in vocoding performs an improved speech quality and a higher data compression effect.
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. [BMB reports 2012; 45(4): 207-212]