|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing显示文摘单个房间的定序是为描出的一个强大的工具为个性化的癌症管理的同种细胞的关系和识别关键司机基因。这里,我们执行了结肠癌的一个盒子的单个房间的定序的分析。人口遗传分析在肿瘤房间人口识别了二独立克隆。主要肿瘤克隆作为早 oncogenic 事件怀有 APC 和 TP53 变化,而次要的克隆包含了优势的 CDC27 和 PABPC1 变化。在这二克隆的次要的克隆支持的 APC 和 TP53 变化的缺席从二细胞的起源被导出。体的变化等位基因频率系列的检查另外 21 个整个织物的定序 exome 的盒子在结肠癌揭示了同种细胞的起源的异质。下次,我们识别了在单个房间的水平显示出变化的高频率,但是在人口水平展出了低流行的变异的基因 SLC12A5。变异的 SLC12A5 的功能的描述在结肠癌揭示了它的潜在的 oncogenic 效果。我们的学习在单个房间的水平支持提供第一条 exome 宽的证据那结肠癌能具有 biclonal 起源,并且建议在一个队的低流行的变化可以也在单个水平起重要 protumorigenic 作用。 | Chang Yu Jun Yu Xlaotlan Yao Wllham KK Wu Youyong Lu Senwel Tang Xiangchun Li Li Bao Xiaoxing Li Yong Hou Renhua Wu Min Jian Ruoyan Chen Fan Zhang Lixia Xu Fan Fan Jun He Qiaoyi Liang Hongyi Wang Xueda Hu Minghui He Xiang Zhang Hancheng Zheng Qibin Li Hanjie Wu Yan Chen Xu Yang Shida Zhu Xun Xu Huanming Yang Jian Wang Xiuqing Zhang Joseph JY Sung Yingrui Li Jun Wang | 2014 | Cell Research2014，，6： | 16 |
| 2 | Multiple UAVs cooperative formation forming control based on back-stepping-like approach显示文摘To ensure multiple unmanned aerial vehicles(UAVs)reach stable formation quickly, a cooperative guidance law based on the back-stepping-like approach is designed in this paper.Adopting the guidance mechanism of virtue leader vehicle, the dynamic equation of tracking errors for each UAV is built. The communication interactive relationships are described based on graph theory, and the guidance law for formation reaching is obtained by the back-stepping-like approach. The formation stability is analyzed by constructing an appropriate Lyapunov function. The simulation results have shown that this guidance and control law can make each UAV converge to the trajectory of the virtue leader ultimately, and has the quicker rate of convergence and lower tracking error. | ZHANG Liang LU Yi XU Shida FENG Han | 2018 | Journal of Systems Engineering and Electronics2018，29，4： | 7 |
| 3 | Characterization and validation of somatic mutation spectrum to reveal heterogeneity in gastric cancer by single cell sequencing显示文摘Gastric cancer(GC) is a highly heterogeneous disease with multiple cellular types and poor prognosis.However, the cellular evolution and molecular basis of GC at the individual intra-tumor level has not been well demonstrated. We performed single-cell whole exome sequencing to detect somatic singlenucleotide variants(SNVs) and significantly mutated genes(SMGs) among 34 tumor cells and 9 normal cells from a patient with GC. The Complete Prediction for Protein Conformation(CPPC) approach directly predicting the folding conformation of the protein 3D structure with Protein Folding Shape Code, combined with functional experiments were used to confirm the characterization of mutated SMGs in GC cells. We identified 201 somatic SNVs, including 117 non-synonymous mutations in GC cells. Further analysis identified 24 significant mutated genes(SMGs) in single cells, for which a single amino acid change might affect protein conformation. Among them, two genes(CDC27 and FLG) that were mutated only in single cells but not in the corresponding tumor tissue, were recurrently present in another GC tissue cohort, and may play a potential role to promote carcinogenesis, as confirmed by functional characterization. Our findings showed a mutational landscape of GC at intra-tumor level for the first time and provided opportunities for understanding the heterogeneity and individualized target therapy for this disease. | Lihua Peng Rui Xing Dongbing Liu Li Bao Wenxiang Cheng Hongyi Wang Yuan Yu Xiaofeng Liu Lu Jiang Yan Wu Zhongxue An Qiaoyi Liang Ryong Nam Kim Young Kee Shin Huanming Yang Jian Wang Jun Yu Xiuqing Zhang Xun Xu Jiaan Yang Kui Wu Shida Zhu Youyong Lu | 2019 | Science Bulletin2019，64，4： | 3 |
| 4 | Optical Perfect Shuffle Interconnection Using Computer-Generated Blazed Grating Array显示文摘 | Ping Xu Xiang Zhou Xiaochun Zhang Yongkang Guo Lurong Guo Hong Tang Shida Wu Lixing Yang Ying Chen | 1995 | Optical Review1995，，5： | 1 |
| 5 | Physical layer authentication in UAV-enabled relay networks based on manifold learning显示文摘An unmanned aerial vehicle(UAV)relay network is a promising solution in the next-generation wireless networks due to its high capacity and unlimited geography.However,because of the openness of wireless channels and UAV mobility,it is remarkably challenging to guarantee the secure access of UAV relay.In this paper,we investigate the physical layer authentication(PLA)to verify the identity of the UAV relay for preventing unauthorized access to users’information or network service.Unlike most existing PLA methods for UAV,the proposed PLA scheme fully considers the time-varying of physical layer attributes caused by UAV mobility,and transforms the authentication problem into recognizing nonlinearly separable physical layer data.Particularly,we propose a manifold learning-based PLA scheme that can authenticate the mobile UAV relay in real time by establishing the local correlation of physical layer attributes.The Markov chain of physical layer data in the time domain is established to evaluate UAV state transition probability through the proposed diffusion map algorithm.The legitimate UAV and spoofing attackers can always be authenticated by the different motion states.Performance analysis offered a comprehensive understanding of the proposed scheme.Extensive simulations confirm that the performance of the proposed scheme improves over 18%in resisting the intelligent spoofing UAV compared with the traditional methods. | Shida XIA Xiaofeng TAO Na LI Shiji WANG Jin XU | 2022 | Science China(Information Sciences)2022，65，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员