|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Chromosome-Scale Genome Assembly of Paper Mulberry(Bmussonetia papyrifera)Provides New Insights into Its Forage and Papermaking Usage显示文摘Paper mulberry(Broussonetia papyrifera)is a well-known woody tree historically used for Cai Lun papermaking,one of the four great inventions of ancient China.More recently,Paper mulberry has also been used as forage to address the shortage of feedstuff because of its digestible crude fiber and high protein contents.In this study,we obtained a chromosome-scale genome assembly for Paper mulberry using integrated approaches,including Illumina and PacBio sequencing platform as well as Hi-C,optical,and genetic maps.The assembled Paper mulberry genome consists of 386.83 Mb,which is close to the estimated size,and 99.25%(383.93 Mb)of the assembly was assigned to 13 pseudochromosomes.Comparative genomic analysis revealed the expansion and contraction in the flavonoid and lignin biosynthetic gene families,respectively,accounting for the enhanced flavonoid and decreased lignin biosynthesis in Paper mulberry.Moreover,the increased ratio of syringyl-lignin to guaiacyl-lignin in Paper mulberry underscores its suitability for use in medicine,forage,papermaking,and barkcloth making.We also identified the rootassociated microbiota of Paper mulberry and found that Pseudomonas and Rhizobia were enriched in its roots and may provide the source of nitrogen for its stems and leaves via symbiotic nitrogen fixation.Collectively,these results suggest that Paper mulberry might have undergone adaptive evolution and recruited nitrogen-fixing microbes to promote growth by enhancing flavonoid production and altering lignin monomer composition.Our study provides significant insights into genetic basis of the usefulness of Paper mulberry in papermaking and barkcloth making,and as forage.These insights will facilitate further domestication and selection as well as industrial utilization of Paper mulberry worldwide. | Xianjun Peng Hui Liu Peilin Chen Feng Tang Yanmin Hu Fenfen Wang Zhi Pi Meiling Zhao Naizhi Chen Hui Chen Xiaokang Zhang Xueqing Yan Min Liu Xiaojun Fu Guofeng Zhao Pu Yao Lili Wang He Dai Xuming Li Wei Xiong Wencai Xu Hongkun Zheng Haiyan Yu Shihua Shen | 2019 | Molecular Plant2019，12，5： | 18 |
| 2 | PandaX: a liquid xenon dark matter experiment at CJPL显示文摘PandaX is a large liquid-xenon detector experiment usable for direct dark-matter detection and 136Xe double-beta decay search.The central vessel was designed to accommodate a staged target volume increase from initially 120 kg(stage I)to 0.5 t(stage II)and eventually to a multi-ton scale.The experiment is located in the Jinping Deep-Underground Laboratory in Sichuan,China.The detector operates in dual-phase mode,allowing detection of both prompt scintillation,and ionization charge through proportional scintillation.In this paper a detailed description of the stage I detector design and performance as well as results established during the commissioning phase are presented. | CAO XiGuang CHEN Xun CHEN YunHua CUI XiangYi FANG DeQing FU ChangBo GIBONI Karl L. GONG HaoWei GUO GuoDong HE Ming HU Jie HUANG XingTao JI XiangDong JU YongLin LI ShaoLi LIN Qing LIU HuaXuan LIU JiangLai LIU Xiang LORENZON Wolfgang MA YuGang MAO YaJun NI KaiXuan PUSHKIN Kirill REN XiangXiang SCHUBNELL Michael SHEN ManBing SHI YuJie STEPHENSON Scott TAN AnDi TARLé Greg WANG HongWei WANG JiMing WANG Meng WANG XuMing WANG Zhou WEI YueHuan WU ShiYong XIAO MengJiao XIAO Xiang XIE PengWei YE Tao YOU YingHui ZEN XiongHui ZHANG Hua ZHANG Tao ZHAO HaiYing ZHAO Li ZHOU XiaoPeng ZHU ZhongHua | 2014 | Science China(Physics,Mechanics & Astronomy)2014，57，8： | 9 |
| 3 | Modeling and prediction of children’s growth data via functional principal component analysis显示文摘We use the functional principal component analysis(FPCA) to model and predict the weight growth in children.In particular,we examine how the approach can help discern growth patterns of underweight children relative to their normal counterparts,and whether a commonly used transformation to normality plays any constructive roles in a predictive model based on the FPCA.Our work supplements the conditional growth charts developed by Wei and He(2006) by constructing a predictive growth model based on a small number of principal components scores on individual's past. | HU Yu HE XuMing TAO Jian SHI NingZhong | 2009 | Science China Mathematics2009，52，6： | 8 |
| 4 | Dark matter direct search sensitivity of the PandaX-4T experiment显示文摘The Panda X-4T experiment, a 4-ton scale dark matter direct detection experiment, is being planned at the China Jinping Underground Laboratory. In this paper we present a simulation study of the expected background in this experiment. In a 2.8-ton fiducial mass and the signal region between 1-10 keV electron equivalent energy, the total electron recoil background is found to be 4.9 × 10^(-5) kg^(-1) d^(-1) keV^(-1). The nuclear recoil background in the same region is 2.8 × 10^(-7) kg^(-1) d^(-1) keV^(-1). With an exposure of 5.6 ton-years, the sensitivity of Panda X-4 T could reach a minimum spin-independent dark matter-nucleon cross section of 6 × 10^(-48) cm^2 at a dark matter mass of 40 Ge V/c^2. | HongGuang Zhang Abdusalam Abdukerim Wei Chen Xun Chen YunHua Chen XiangYi Cui BinBin Dong DeQing Fang ChangBo Fu Karl Giboni Franco Giuliani LinHui Gu XuYuan Guo ZhiFan Guo Ke Han ChangDa He ShengMing He Di Huang XingTao Huang Zhou Huang Peng Ji XiangDong Ji YongLin Ju ShaoLi Li Yao Li Heng Lin HuaXuan Liu JiangLai Liu YuGang Ma YaJun Mao KaiXiang Ni JinHua Ning XiangXiang Ren Fang Shi AnDi Tan AnQing Wang Cheng Wang HongWei Wang Meng Wang QiuHong Wang SiGuang Wang XiuLi Wang XuMing Wang Zhou Wang MengMeng Wu ShiYong Wu JingKai Xia MengJiao Xiao PengWei Xie BinBin Yan JiJun Yang Yong Yang ChunXu Yu JuMin Yuan JianFeng Yue Dan Zhang Tao Zhang Li Zhao QiBin Zheng JiFang Zhou Ning Zhou XiaoPeng Zhou | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，3： | 6 |
| 5 | β-catenin activation in hair follicle dermal stem cells in duces ectopic hair outgrowth and skin fibrosis显示文摘Hair follicle dermal sheath(DS)harbors hair follicle dermal stem cells(hfDSCs),which can be recruited to replenish DS and dermal papilla(DP).Cultured DS cells can differentiate into various cell lineages in vitro.However,it is unclear how its plasticity is modulated in vivo.Wnt/β-catenin signaling plays an important role in maintaining stem cells of various lineages and is required for HF development and regeneration.Here we report that activation ofβ-catenin in DS generates ectopic HF outgrowth(EF)by reprogramming HF epidermal cells and DS cells themselves,and endows DS cells with hair inducing ability.Epidermal homeostasis of pre-existing HFs is disrupted.Additionally,cell-autonomous progressive skin fibrosis is prominent in dermis,where the excessive fibroblasts largely originate from DS.Gene expression analysis of purified DS cells with activatedβ-catenin revealed significantly increased expression of Bmp,Fgf,and Notch ligands and administration of Bmp,Fgf,or Notch signaling inhibitor attenuates EF formation.In summary,our findings advance the current knowledge of high plasticity of DS cells and provide an insight into understanding how Wnt/β-catenin signaling controls DS cell behaviors. | Yixin Tao Qingchun Yang Lei Wang Jie Zhang Xuming Zhu Qianqian Sun Yunbin Han Qian Luo Yushu Wang Xizhi Guo Ji Wu Baojie Li Xiao Yang Lin He Gang Ma | 2019 | Journal of Molecular Cell Biology2019，11，1： | 4 |
| 6 | Data mining-based study on sub-mentally healthy state among residents in eight provinces and cities in China显示文摘OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and analysis of data on 3970 sub-mentally healthy individuals selected from 13385 relevant question naires.METHODS: The strategic tree algorithm was used to identify the main mani festations of the state of sub-mental health. The backpropogation artificial neural network was used to analyze the main mani festations of sub-healthy mental states of three different degrees. A sub-mental health evaluation model was then established to achieve predictive evaluationresults.RESULTS: Using classifications from the Scale of Chinese Sub-healthy State, the main manifestations of sub-mental health selected using the strate gictree were F1101(Do you lack peace of mind?),F1102(Are you easily nervous when something comes up?), and F1002(Do you often sigh?). The relative intensity of manifestations of sub-mental health was highest for F1101, followed by F1102,and then F1002. Through study of the neural network, better differentiation could be made between moderate and severe and between mild and severe states of sub-mental health. The differentiation between mild and moderate sub-mental health states was less apparent. Additionally, the sub-mental health state evaluation model, which could be used to predict states of sub-mental health of different individuals, was established using F1101, F1102, F1002, and the mental self-assessment totals core.CONCLUSION: The main manifestations of the state of sub-mental health can be discovered using data mining methods to research and analyze the latent laws and knowledge hidden in research evidence on the state of sub-mental health. The state of sub-mental health of different individuals can be rapidly predicted using the model established here.This can provide a basis for assessment and intervention for sub-mental health. It can also replace the relatively outdated approaches to research on sub-health in the technical era of information and digitization by combining the study of states of sub-mental health with information techniques and by further quantifying the relevant information. | Hongmei Ni Xuming Yang Chengquan Fang Yingying Guo Mingyue Xu Yumin He | 2014 | Journal of Traditional Chinese Medicine2014，34，4： | 3 |
| 7 | Efficient randomized-adaptive designs 显示文摘 | Feifang HU Zhang LX Xuming HE | 2009 | The Annals of Statistics2009，37，5： | 1 |
| 8 | Estimation in a Semiparametric Model for Longitudinal Data with Unspecified Dependence tructure,显示文摘 | Xuming He Zhongyi Zhu and Wing-Kam Fung | 2002 | Biometrika2002，89，： | 1 |
| 9 | Estimation in a Semiparametric Model for Longitudinal Data with Unspecified Dependence tructure显示文摘 | Xuming He Zhongyi Zhu and Wing- Kam Fung | 2002 | Biometrika2002，89，3： | 1 |
| 10 | Markov Chain Marginal Bootstrap 显示文摘 | Xuming HE Feifang Hu | 2002 | American Statistical Association2002，97，459： | 1 |
| 11 | Robust estimates in generalized partially linear models显示文摘 | GRACIELA B HE Xuming ZHOU Jianhui | 2006 | The Annals of Statistics2006，34，6： | 1 |
| 12 | Robust low-rank data matrix approximations显示文摘We review some recent approaches to robust approximations of low-rank data matrices.We consider the problem of estimating a low-rank mean matrix when the data matrix is subject to measurement errors as well as gross outliers in some of its entries.The purpose of the paper is to make various algorithms accessible with an understanding of their abilities and limitations to perform robust low-rank matrix approximations in both low and high dimensional problems. | FENG XingDong HE XuMing | 2017 | Science China Mathematics2017，60，2： | 1 |
| 13 | On the Stahel-Do- noho Estimator and Depth-weighted Means of Multivariate Data 显示文摘 | Yijun Zuo Hengjian Cui Xuming He | 2004 | The Annals of Statistics2004，32，1： | 1 |
| 14 | On regression estimators with de -nosied variables显示文摘 | Cui Hengjian He Xuming Zhu Lixing | 2002 | Statistica Sinica2002，12，： | 1 |
| 15 | Estimation in a semiparametric model for longitudinal data with unspecified dependence tructure显示文摘 | He Xuming Zhu Zhongyi Fung Wing-Kam | 2002 | Biometrika2002，89，： | 1 |
| 16 | MDM 2 is a useful prognostic biomarker for resectable gastric cancer显示文摘 | Yang Ye Xuan Li Jingjing Yang Shuhan Miao Shouyu Wang Yansu Chen Xiaowei Xia Xuming Wu Jianbing Zhang Yan Zhou Song He Yongfei Tan Fulin Qiang Gang Li Oluf Dimitri R?e Jianwei Zhou | 2013 | Cancer Sci2013，，5： | 1 |
| 17 | On the StahelDonoho estimator and depth-weighted means of multivariate data显示文摘 | ZUO Yijun CUI Hengjian HE Xuming | | 0，，01： | 1 |
| 18 | Adjustment of measuring devices with linear models显示文摘 | LIN Nan Bailey B A HE Xuming Buttlar W G | | 0，，2： | 1 |
| 19 | Dimension reduction based on canonical correlation 显示文摘 | FUNG W K HE Xuming LIU Li | 2002 | Statistica Sinica2002，12，4： | 1 |
| 20 | Markov Chain Marginal Bootstrap显示文摘 | Xuming He Feifang Hu | 2002 | Journal of the American Statistical Association2002，，97： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员