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| 1 | A draft sequence of the rice (Oryza sativa ssp. indica) genome显示文摘The sequence of the rice genome holds fundamental information for its biology, including physiology, genetics, development, and evolution, as well as information on many beneficial phenotypes of economic significance. Using a 'whole genome shotgun' approach, we have pro-duced a draft rice genome sequence of Oryza sativa ssp. in-dica, the major crop rice subspecies in China and many other regions of Asia. The draft genome sequence is constructed from over 4.3 million successful sequencing traces with an accumulative total length of 2214.9 Mb. The initial assembly of the non-redundant sequences reached 409.76 Mb in length, based on 3.30 million successful sequencing traces with a total length of 1797.4 Mb from an indica variant cultivar 93-11, giving an estimated coverage of 95.29% of the rice genome with an average base accuracy of higher than 99%. The coverage of the draft sequence, the randomness of the sequence distribution, and the consistency of BIG-ASSEM-BLER, a custom-designed software package | YU Jun, HU Songnian, WANG Jun,LI Songgang WONG Ka-Shu Gane, LIU Bin,DENG Yajun, DAI Li, ZHOU Yan,ZHANG Xiuqing, CAO Mengliang, LIU Jing,SUN Jiandong , TANG Jiabin, CHEN Yanjiong,HUANG Xiaobing, LIN Wei, YE Chen, TONG Wei,CONG Lijuan, GENG Jianing, HAN Yujun, LI Lin,LI Wei, HU Guangqiang, HUANG Xiangang,LI Wenjie, LI Jian, LIU Zhanwei, LI Long,LIU Jianping, Ql Qiuhui, LIU Jinsong, LI Li,WANG Xuegang, LU Hong, WU Tingling,ZHU Miao, Nl Peixiang, HAN Hua, DONG Wei,REN Xiaoyu, FENG Xiaoli, GUI Peng,LI Xianran, WANG Hao, XU Xin, ZHAI Wenxue,XU Zhao, ZHANG Jinsong, HE Sijie,ZHANG Jianguo, XU Jichen, ZHANG Kunlin,ZHENG Xianwu, DONG Jianhai, ZENG Wanyong,TAO Lin, CHEN Xuewei, HE Jun, LIU Daofeng,TIAN Wei, TIAN Chaoguang, XIA Hongai,LI Gang, GAO Hui, LI Ping, CHEN Wei ,WANG Xudong, ZHANG Yong, HU Jianfei,WANG Jing, LIU Song, YANG Jian,ZHANG Guangyu, XIONG Yuqing, LI Zhijie,MAO Long, ZHOU Chengshu, ZHU Zhen,CHEN Runsheng, HAO Bailin,ZHENG Weimou, CHEN Shouyi, QUO Wei,LI Guojie, LIU Siqi, HUANG Guyang,TAO Ming, WANG Jian, ZHU Lihuang,YUAN Longping& YANG HuanmingBeijing Genomics Institute/Center of Genomics & Bioinformatics, Chinese Academy of Sciences, Beijing 101300, China Hangzhou Genomics Institute/Institute of Bioinformatics of Zhejiang University/Key Laboratory of Bioinformatics of Zhejiang Province, Hangzhou 310007, China Institute of Genetics, Chinese Academy of Sciences, Beijing 100101, China National Hybrid Rice R & D Center, Changsha 410125, China Laboratory of Bioinformatics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China College of Life Sciences, Peking University, Beijing 100871, China Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 1Q0080, China Digital China Ltd., Beijing 100080, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China Medical College, Xi’an Jiaotong University, Xi’an 710061, ChinaThese authors contributed equally to this work.Corresponding author.Corresponden | 2001 | Chinese Science Bulletin2001，46，23： | 6 |
| 2 | ReSSIM:a mixed-level simulator for dynamic coarse-grained reconfigurable processor显示文摘This paper proposes a mixed-level simulator for dynamic coarse-grained reconfigurable processor(CGRP),called ReSSIM(reconfigurable system simulation implementation mechanism),and the corresponding simulation tool-chain,including task compiler,profiler and debugger.A generic modeling methodology supporting convenient extension of on-chip modules is also proposed.In order to explore the details of the interested modules while maintaining reasonable simulation speed,RCA(reconfigurable computing array),the key reconfigurable device in ReSSIM,is modeled on cycle-accurate level,while the other modules are modeled on transaction level.The typical parameters of RCA are scalable and adjustable,which helps the architects to explore the massive details of the reconfigurable device.Experiment shows that simulation speedup achieved ranges from 9.26× to 18.39× compared with VCS(Synopsys verilog compiler simulator) when running three computingintensive kernel tasks of H.264 decoding algorithm-IDCT(inverse discrete cosine transform),deblocking and MC-chroma(motion compensation).Simulation speed for a set of real applications,such as MPEG4,G.729 and EFR,is 35× slower than the corresponding native executions(i.e.measured from the real chip).And the relative simulation errors are 11% less than the measured IPC(instructions per cycle) of the real chip. | LIU LeiBo JIA Wen YIN ShouYi WANG Dong SUN GuanYi TANG Eugene WEI ShaoJun | 2013 | Science China(Information Sciences)2013，56，6： | 2 |
| 3 | Liquid Crystal Materials for Liquid Crystal Display with Negative Dielectric Anisotropy 显示文摘 | HOU Guangming XU Shouyi TANG Hong | 2004 | Chinese J Appl Chem2004，21，8： | 1 |
| 4 | Targeting the“undruggable”cancer driver genes:Ras,myc,and tp53显示文摘The term“undruggable”is to describe molecules that are not targetable or at least hard to target pharmacologically.Unfortunately,some targets with potent oncogenic activity fall into this category,and currently little is known about how to solve this problem,which largely hampered drug research on human cancers.Ras,as one of the most common oncogenes,was previously considered“undruggable”,but in recent years,a few small molecules like Sotorasib(AMG-510)have emerged and proved their targeted anti-cancer effects.Further,myc,as one of the most studied oncogenes,and tp53,being the most common tumor suppressor genes,are both considered“undruggable”.Many attempts have been made to target these“undruggable”targets,but little progress has been made yet.This article summarizes the current progress of direct and indirect targeting approaches for ras,myc,two oncogenes,and tp53,a tumor suppressor gene.These are potential therapeutic targets but are considered“undruggable”.We conclude with some emerging research approaches like proteolysis targeting chimeras(PROTACs),cancer vaccines,and artificial intelligence(AI)-based drug discovery,which might provide new cues for cancer intervention.Therefore,this review sets out to clarify the current status of targeted anti-cancer drug research,and the insights gained from this review may be of assistance to learn from experience and find new ideas in developing new chemicals that directly target such“undruggable”molecules. | XINGBO WU DAN PAN SHOUYI TANG YINGQIANG SHEN | 2023 | BIOCELL2023，47，7： | 0 |
| 5 | Emerging roles of circular RNAs in the invasion and metastasis of head and neck cancer:Possible functions and mechanisms显示文摘Head and neck cancer(HNC)is the seventh most prevalent malignancy worldwide in 2020.Cancer metastasis is the main cause of poor prognosis in HNC patients.Recently,circular RNAs(circRNAs),initially thought to have no biological function,are attracting increasing attention,and their crucial roles in mediating HNC metastasis are being extensively investigated.Existing studies have shown that circRNAs primarily function through miRNA sponges,transcriptional regulation,interacting with RNA-binding proteins(RBPs)and as translation templates.Among these functions,the function of miRNA sponge is the most prominent.In this review,we summarized the reported circRNAs involved in HNC metastasis,aiming to elucidate the regulatory relationship between circRNAs and HNC metastasis.Furthermore,we summarized the latest advances in the epidemiological information of HNC metastasis and the tumor metastasis theories,the biogenesis,characterization and functional mechanisms of circRNAs,and their potential clinical applications.Although the research on circRNAs is still in its infancy,circRNAs are expected to serve as prognostic markers and effective therapeutic targets to inhibit HNC metastasis and significantly improve the prognosis of HNC patients. | Shouyi Tang Luyao Cai Zhen Wang Dan Pan Qing Wang Yingqiang Shen Yu Zhou Qianming Chen | 2023 | Cancer Innovation2023，2，6： | 0 |
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