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- 저자 : Han-Chiang Wu (검색결과 4 건)
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Po-Han Lin,Yun-Wen Tien,Wen-Fang Cheng,Ying-Cheng Chiang,Chien-Huei Wu,Karen Yang,Chiun-Sheng Huang 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.5
Objective: Genetic high-risk assessment combines hereditary breast, ovarian and pancreatic cancer into one syndrome. However, there is a lack of data for comparing the germline mutational spectrum of the cancer predisposing genes between these three cancers. Methods: Patients who met the criteria of the hereditary breast, ovarian and pancreatic cancer were enrolled and received multi-gene sequencing. Results: We enrolled 730 probands: 418 developed breast cancer, 185 had ovarian cancer, and 145 had pancreatic cancer. Out of the 18 patients who had two types of cancer, 16 had breast and ovarian cancer and 2 had breast and pancreatic cancer. A total of 167 (22.9%) patients had 170 mutations. Mutation frequency in breast, ovarian and pancreatic cancer was 22.3%, 33.5% and 17.2%, respectively. The mutation rate was significantly higher in patients with double cancers than those with a single cancer (p<0.001). BRCA1 and BRCA2 were the most dominant genes associated with hereditary breast and ovarian cancer, whereas ATM was the most prevalent gene related to hereditary pancreatic cancer. Genes of hereditary colon cancer such as lynch syndrome were presented in a part of patients with pancreatic or ovarian cancer but seldom in those with breast cancer. Families with a history of both ovarian and breast cancer were associated with a higher mutation rate than those with other histories. Conclusion: The mutation spectrum varies across the three cancer types and family histories. Our analysis provides guidance for physicians, counsellors, and counselees on the offer and uptake of genetic counseling.
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Functional properties of the major outer membrane protein in Stenotrophomonas maltophilia
Yih-Yuan Chen,Han-Chiang Wu,Juey-Wen Lin,Shu-Fen Weng 한국미생물학회 2015 The journal of microbiology Vol.53 No.8
Stenotrophomonas maltophilia is an opportunistic pathogen that is closely associated with high morbidity and mortality in debilitated and immunocompromised individuals. Therefore, to investigate the pathogenesis mechanism is urgently required. However, there are very few studies to evaluate the functional properties of outer membrane protein, which may contribute to the pathogenesis in S. maltophilia. In this study, three abundant proteins in the outer membrane fraction of S. maltophilia were identified by liquid chromatography- tandem mass spectrometry as OmpW1, MopB, and a hypothetical protein. MopB, a member of the OmpA family, was firstly chosen for functional investigation in this study because many OmpA-family proteins are known to be involved in pathogenesis and offer potential as vaccines. Membrane fractionation analyses demonstrated that MopB was indeed the most abundant outer membrane protein (OMP) in S. maltophilia. For functional studies, the mopB mutant of S. maltophilia (SmMopB) was constructed by insertional mutation. MopB deficiency resulted in a change in the protein composition of OMPs and altered the architecture of the outer membrane. The SmMopB strain exhibited reduced cytotoxicity toward L929 fibroblasts and was more sensitive to numerous stresses, including human serum, sodium dodecyl sulfate, and hydrogen peroxide compared with wildtype S. maltophilia. These results suggest that MopB may be a good candidate for the design of vaccines or anti-MopB drugs for controlling serious nosocomial infections of multidrug- resistant S. maltophilia, especially in immunosuppressed patients.
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Human-Oriented Recognition for Intelligent Interactive Office Robot
Chia-Ming Wang,Shin-Huan Tseng,Pei-Wen Wu,Yuan-Han Xu,Chien-Ke Liao,Yu-Chi Lin,Yi-Shiu Chiang,Chung-Dial Lim,Ting-Sheng Chu,Li-Chen Fu 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper presents our new intelligent interactive robot, which is constructed to eagerly provide multi-functional services in an office environment. In order to endow a full interactive capability of our robots for realizing so-called human-robot interaction (HRI), we propose sensor fusion based human detection and tracking system and human pose estimation to deal with a number of situations which may take place in the office environment. Not only by these perceptions, human interact with the robot also by some natural way, such as touching the interface screen and talking with the robot through microphone. Finally, the effectiveness of the proposed work is tested and validated by some of experiments.
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