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| 1 | Honeysuckle-encoded atypical microRNA2911 directly Largets influenza A viruses显示文摘 | Zhen Zhou Xihan Li Jinxiong Liu Lei Dong Qun Chen Jialing Liu Huihui Kongt Qianyi Zhang Xian Qi Dongxia Hou Lin Zhang Guoquan Zhang Yuchen Liu Yujing Zhang Jing Li Jin Wang Xi Chen Hua Wang Junfeng Zhang Hualan Chen Ke Zen Chen-Yu Zhang | 2015 | Cell Research2015，25，1： | 104 |
| 2 | QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations显示文摘QTL Ici Mapping is freely available public software capable of building high-density linkage maps and mapping quantitative trait loci(QTL) in biparental populations. Eight functionalities are integrated in this software package:(1) BIN: binning of redundant markers;(2) MAP: construction of linkage maps in biparental populations;(3) CMP: consensus map construction from multiple linkage maps sharing common markers;(4) SDL: mapping of segregation distortion loci;(5) BIP: mapping of additive, dominant, and digenic epistasis genes;(6) MET: QTL-by-environment interaction analysis;(7) CSL: mapping of additive and digenic epistasis genes with chromosome segment substitution lines; and(8) NAM: QTL mapping in NAM populations. Input files can be arranged in plain text, MS Excel 2003, or MS Excel 2007 formats. Output files have the same prefix name as the input but with different extensions. As examples, there are two output files in BIN, one for summarizing the identified bin groups and deleted markers in each bin, and the other for using the MAP functionality. Eight output files are generated by MAP, including summary of the completed linkage maps, Mendelian ratio test of individual markers, estimates of recombination frequencies, LOD scores, and genetic distances, and the input files for using the BIP, SDL,and MET functionalities. More than 30 output files are generated by BIP, including results at all scanning positions, identified QTL, permutation tests, and detection powers for up to six mapping methods. Three supplementary tools have also been developed to display completed genetic linkage maps, to estimate recombination frequency between two loci,and to perform analysis of variance for multi-environmental trials. | Lei Meng Huihui Li Luyan Zhang Jiankang Wang | 2015 | The Crop Journal2015，3，3： | 174 |
| 3 | Future Physics Programme of BESⅢ显示文摘There has recently been a dramatic renewal of interest in hadron spectroscopy and charm physics. This renaissance has been driven in part by the discovery of a plethora of charmonium-like XYZ states at BESⅢ and B factories, and the observation of an intriguing proton-antiproton threshold enhancement and the possibly related X(1835) meson state at BESⅢ, as well as the threshold measurements of charm mesons and charm baryons. We present a detailed survey of the important topics in tau-charm physics and hadron physics that can be further explored at BESⅢ during the remaining operation period of BEPCⅡ. This survey will help in the optimization of the data-taking plan over the coming years, and provides physics motivation for the possible upgrade of BEPCⅡ to higher luminosity. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht M.Alekseev A.Amoroso F.F.An Q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begzsuren J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi J Biernat J.Bloms I.Boyko R.A.Briere L.Calibbi H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.Chai J.F.Chang W.L.Chang J.Charles G.Chelkov Chen G.Chen H.S.Chen J.C.Chen M.L.Chen S.J.Chen Y.B.Chen H.Y.Cheng W.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai J.P.Dai X.C.Dai A.Dbeyssi D.Dedovich Z.Y.Deng A.Denig Denysenko M.Destefanis S.Descotes-Genon F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong Z.L.Dou S.X.Du S.I.Eidelman J.Z.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng M.Fritsch C.D.Fu Y.Fu Q.Gao X.L.Gao Y.Gao Y.Gao Y.G.Gao Z.Gao B.Garillon I.Garzia E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu Y.T.Gu A.Q.Guo F.K.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov S.Han X.Q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang J.S.Huang X.T.Huang X.Z.Huang Z.L.Huang N.Huesken T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.L.Jiang X.S.Jiang X.Y.Jiang J.B.Jiao Z.Jiao D.P.Jin S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.Kurth M.G.Kurth W.Kuhn J.S.Lange P.Larin L.Lavezzi H.Leithoff T.Lenz C.Li Cheng Li D.M.Li F.Li F.Y.Li G.Li H.B.Li H.J.Li J.C.Li J.W.Li Ke Li L.K.Li Lei Li P.L.Li P.R.Li Q.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li X.N.Li X.Q.Li Z.B.Li H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby C.X.Lin D.X.Lin Y.J.Lin B.Liu B.J.Liu C.X.Liu D.Liu D.Y.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.Y.Liu K.Y.Liu Ke Liu Q.Liu S.B.Liu T.Liu X.Liu X.Y.Liu Y.B.Liu Z.A.Liu Zhiqing Liu Y.F.Long X.C.Lou H.J.Lu J.D.Lu J.G.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma X.N.Ma X.X.Ma X.Y.Ma Y.M.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri J.Min T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo C.Morales Morales N.Yu.Muchnoi H.Muramatsu A.Mustafa S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Niu S.L.Olsen Q.Ouyang S.Pacetti Y.Pan M.Papenbrock P.Patteri M.Pelizaeus H.P.Peng K.Peters A.A.Petrov J.Pettersson J.L.Ping R.G.Ping A.Pitka R.Poling V.Prasad M.Qi T.Y.Qi S.Qian C.F.Qiao N.Qin X.P.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid C.F.Redmer M.Richter M.Ripka A.Rivetti V.Rodin M.Rolo G.Rong J.L.Rosner Ch.Rosner M.Rump A.Sarantsev M.Savrie K.Schoenning W.Shan X.Y.Shan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.Y.Sheng X.Shi X.D Shi J.J.Song Q.Q.Song X.Y.Song S.Sosio C.Sowa S.Spataro F.F.Sui G.X.Sun J.F.Sun L.Sun S.S.Sun X.H.Sun Y.J.Sun Y.K Sun Y.Z.Sun Z.J.Sun Z.T.Sun Y.T Tan C.J.Tang G.Y.Tang X.Tang V.Thoren B.Tsednee I.Uman B.Wang B.L.Wang C.W.Wang D.Y.Wang H.H.Wang K.Wang L.L.Wang L.S.Wang M.Wang M.Z.Wang Wang Meng P.L.Wang R.M.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.F.Wang Z.Wang Z.G.Wang Z.Y.Wang Zongyuan Wang T.Weber D.H.Wei P.Weidenkaff H.W.Wen S.P.Wen U.Wiedner G.Wilkinson M.Wolke L.H.Wu L.J.Wu Z.Wu L.Xia Y.Xia S.Y.Xiao Y.J.Xiao Z.J.Xiao Y.G.Xie Y.H.Xie T.Y.Xing X.A.Xiong Q.L.Xiu G.F.Xu L.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Y.H.Yan H.J.Yang H.X.Yang L.Yang R.X.Yang S.L.Yang Y.H.Yang Y.X.Yang Yifan Yang Z.Q.Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu J.S.Yu C.Z.Yuan X.Q.Yuan Y.Yuan A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang B.Y.Zhang C.C.Zhang D.H.Zhang H.H.Zhang H.Y.Zhang J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang K.Zhang L.Zhang S.F.Zhang T.J.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yang Zhang Yao Zhang Yi Zhang Yu Zhang Z.H.Zhang Z.P.Zhang Z.Q.Zhang Z.Y.Zhang G.Zhao J.W.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao T.C.Zhao Y.B.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong L.Zhou L.P.Zhou Q.Zhou X.Zhou X.K.Zhou Xingyu Zhou Xiaoyu Zhou Xu Zhou A.N.Zhu J.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu W.J.Zhu X.L.Zhu Y.C.Zhu Y.S.Zhu Z.A.Zhu J.Zhuang B.S.Zou J.H.Zou 无 | 2020 | Chinese Physics C2020，44，4： | 517 |
| 4 | H7N9 virulent mutants detected in chickens in China pose an increased threat to humans显示文摘 | Jianzhong Shi Guohua Deng Huihui Kong Chunyang Gu Shujie Ma Xin Yin Xianying Zeng Pengfei Cui Yan Chen Huanliang Yang Xiaopeng Wan Xiurong Wang Liling Liu Pucheng Chen Yongping Jiang Jinxiong Liu Yuntao Guan Yasuo Suzuki Mei Li Zhiyuan Qu Lizheng Guan Jinkai Zang Wenli Gu Shuyu Han Yangming Song Yuzhen Hu Zeng Wang Linlin Gu Wenyu Yang Libin Liang Hongmei Bao Guobin Tian Yanbing Li Chuanling Qiao Li Jiang Chengjun Li Zhigao Bu Hualan Chen | 2017 | Cell Research2017，27，12： | 70 |
| 5 | A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding显示文摘一个高密度的单个核苷酸多型性(SNP ) 数组为遗传学者和分子的 breeders.With 是极其重要的 genomic 的巨大的数量的累积重新定序为精确 SNP 察觉的数据和可得到的技术,设计高密度、高质量的米饭 SNP 数组是可能的。这里,我们报导一个高密度的 riceSNP 数组和它的实用程序的开发。SNP 探针被屏蔽超过 10 设计从变化和一个数组说出 RiceSNP50 的 801 米饭的 re-sequencingdata 提取的 000 000 SNP loci 在 Illumina Infinium 站台上被生产。数组 contained51 478 个均匀地分布式的标记,其 68% 个在遗传因子的区域以内。有 parent/F1 relationshipswere 的几百米饭植物过去常为精确 SNP 打电话产生一个高质量的簇文件。应用程序测试证明这穿有的 highgenotyping 精确性,并且能被用于不同目的。例如,有好分辨率的精英米饭变化 wasclustered 的一个核心集合。染色体宽的协会研究(GWAS ) 分析正确地识别了描绘的 QTL.Further,这个数组成功地为变化确认和特点基因渗入被使用。作为一个精确 high-throughputgenotyping 工具, RiceSNP50 将在两功能的 genomics 学习和分子的 breeding.Key 词起一个重要作用: | Haodong Chen Weibo Xie Hang He Huihui Yu Wei Chen Jing Li Renbo Yu Yue Yao Wenhui Zhang Yuqing He Xiaoyan Tang Fasong Zhou Xing Wang Deng Qifa Zhang | 2014 | Molecular Plant2014，7，3： | 38 |
| 6 | Strategic Interaction in Spending on Environmental Protection:Spatial Evidence from Chinese Cities显示文摘In China,the responsibility of protecting the environment lies largely with local governments. Within the framework of spatial econometrics,we investigate empirically the consequence of such an institutional setting.Using city-level data for China,the present study finds that city governments behave strategically in making spending decisions regarding environmental protection.This paper finds that a city government appears to cut its own spending as a response to the rise in environmental protection spending by its neighbors.Hence, environmental protection tends to be underprovided.As a result,we suggest that centralizing the environmental protection responsibility to a higher level of government would be beneficial in terms of controlling pollution in China. | Huihui Deng Xinye Zheng Nan Huang Fanghua Li | 2012 | China & World Economy2012，20，5： | 33 |
| 7 | Study of BESIII trigger efficiencies with the 2018 J/ψ data显示文摘Using a dedicated data sample taken in 2018 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII detector.The efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged particles.The combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang L.Z.Liao J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu Ke Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi T.Y.Qi S.Qian W.-B.Qian Z.Qian C.F.Qiao L.Q.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang Z.Y.Wang Ziyi Wang Zongyuan Wang D.H.Wei P.Weidenkaff F.Weidner S.P.Wen D.J.White U.Wiedner G.Wilkinson M.Wolke L.Wollenberg J.F.Wu L.H.Wu L.J.Wu X.Wu Z.Wu L.Xia H.Xiao S.Y.Xiao Z.J.Xiao X.H.Xie Y.G.Xie Y.H.Xie T.Y.Xing G.F.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Xu Yan H.J.Yang H.X.Yang L.Yang S.L.Yang Y.X.Yang Yifan Yang Zhi Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu G.Yu J.S.Yu T.Yu C.Z.Yuan L.Yuan X.Q.Yuan Y.Yuan Z.Y.Yuan C.X.Yue A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang Guangyi Zhang H.Zhang H.H.Zhang H.Y.Zhang J.J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang Jianyu Zhang Jiawei Zhang L.Q.Zhang Lei Zhang S.Zhang S.F.Zhang Shulei Zhang X.D.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yan Zhang Yao Zhang Yi Zhang Z.H.Zhang Z.Y.Zhang G.Zhao J.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao Y.B.Zhao Y.X.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong C.Zhong L.P.Zhou Q.Zhou X.Zhou X.K.Zhou X.R.Zhou A.N.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou | 2021 | Chinese Physics C2021，45，2： | 33 |
| 8 | The p53/miR-34 axis in development and disease显示文摘肿瘤 suppressor p53 是在人的癌症的最经常变异的基因之一。MicroRNAs (miRNAs ) 是在 post-transcriptional 水平上调整基因表示的小 non-proteincoding RNA。最近, p53 调整几 miRNAs 的 theexpression,这被显示出,从而代表 p53 发信号的重要机制。几个独立人士作为最流行的导致 p53 的 miRNAs 学习 miR-34 家庭的 identifiedthe 成员。miR-34s 经常是在 tumorentities 的变化的 silenced,建议他们是重要肿瘤 suppressors。确实, miR-34s 的宫外的表示禁止增长,对各种各样的癌症房间实体的间充质的转变,移植,侵略,和转移上皮。而且, miR-34 的 deliveryor 重新表示在癌症老鼠模型导致肿瘤生长和转移的著名压抑,并且可以 thereforerepresent 为未来癌症治疗学的有效策略。除他们在癌症的关键函数以外, themiR-34 家庭的成员也在精子发生,干细胞区别, neuronal 开发,老化,和 cardiovascularfunctions 起重要作用。因而, miR-34 也在各种各样的非癌的疾病被含有,例如大脑混乱,骨质疏松症,和心血管的复杂并发症。 | Matjaz Rokavec Huihui Li Longchang Jiang and Heiko Hermeking | 2014 | Journal of Molecular Cell Biology2014，8，3： | 27 |
| 9 | Flavonoid profiling of a traditional Chinese medicine formula of Huangqin Tang using high performance liquid chromatography显示文摘The quality control processes for herbal medicines have been problematic. Flavonoids are the major active components of Huangqin Tang(HQT, a traditional Chinese medicine formula). In this study, we used a combinative method approach consisting of chromatographic fingerprinting(high performance liquid chromatography; HPLC), quantitative methods and a pharmacodynamic evaluation model to analyze the flavonoids of HQT obtained from different sources. Ten batches of HQT were analyzed by the HPLC fingerprinting method and 26 common peaks were detected, of which 23 peaks corresponded with the chemical profile of HQT. In addition, 11 major compounds were identified by LC–MS analysis(liquid chromatography–tandem mass spectrometer; LC–MS^n) and quantified by the HPLC quantitative method approach. The studied10 batches of HQT were found to be homogeneous in their composition with a similarity between 0.990 and1.000. The distribution of the 11 identified compounds was found to be very similar among the batches. Only slight pharmacodynamic differences were detected between the different batches, confirming the homogeneity of HQT. The results of this study prove that the combination of chromatographic fingerprinting and quantitative analysis can be readily used for comprehensive quality control of herbal medicines. | Tao Li Shuaixing Zhuang Yiwei Wang Yanli Wang Weihao Wang Huihui Zhang Li Chen Dunfang Wang Zhongming Zhou Weipeng Yang | 2016 | Acta Pharmaceutica Sinica B2016，6，2： | 19 |
| 10 | Early Serum HBsAg Kinetics as Predictor of HBsAg Loss in Patients with HBeAg-Negative Chronic Hepatitis B after Treatment with Pegylated Interferonα-2a显示文摘Hepatitis B surface antigen(HBsAg)loss is an ideal treatment endpoint for patients with chronic hepatitis B(CHB).We investigated the predictive value of on-treatment HBsAg levels for HBsAg loss in hepatitis B e antigen(HBe Ag)-negative CHB patients who received 120-week PEG-IFNα-2a treatment.Serum HBV DNA,HBsAg,and anti-HBs levels were assayed at baseline and every 3 months during the treatment.Of 81 patients,12 achieved HBsAg loss,20 achieved HBsAg\100 IU/mL,and 49 maintained HBs Ag C 100 IU/mL.HBsAg loss rate was only 3.7%at 48 weeks,while it reached to 11.1%and 14.8%after treatment of 96 weeks and 120 weeks.The cutoff HBs Ag levels at 12 weeks predicting HBsAg loss at 96 weeks and 120 weeks of treatment were 400 IU/mL and 750 IU/mL,with AUC 0.725 and 0.722,positive predictive value(PPV)29.41%and 30.56%,and negative predictive value(NPV)93.75%and 97.78%,respectively.The cutoff HBsAg levels at 24 weeks predicting HBsAg loss at 96 weeks and 120 weeks of treatment were 174 IU/m L and 236 IU/mL respectively,with AUC 0.925 and 0.922,PPV 40.0%and 46.15%,and both NPV 100%.The predictive ability of the cutoff HBsAg levels at 24 weeks was better than that at 12 weeks for HBs Ag loss at either 96 or 120 weeks(χ~2=3.880,P=0.049 andχ~2=4.412,P=0.036).These results indicate that extended therapy is critical to HBsAg loss in HBe Ag-negative CHB patients during PEG-IFN treatment,and the HBsAg level at 24 weeks can be used to predict HBsAg loss during tailoring PEG-IFN therapy. | Minghui Li Lu Zhang Yao Lu Qiqi Chen Huihui Lu Fangfang Sun Zhan Zeng Gang Wan Linqing Zhao Yao Xie | 2021 | Virologica Sinica2021，36，2： | 15 |
| 11 | Microstructure characteristics and solidification behavior of wrought aluminum alloy 2024 rheo-diecast with self-inoculation method显示文摘One important problem in casting wrought aluminum alloys is the high tendency to the formation of hot tears in the solidification process.By using semi-solid metal(SSM) processing,the hot tearing tendency of alloys can be minimized during casting.In the present research,the semi-solid slurry of wrought aluminum alloy 2024 was firstly prepared with a novel self-inoculation method(SIM),and then the microstructure characteristics of the semi-solid slurry and the rheo-diecastings cast with the semi-solid slurry were investigated.The results indicate that finer and more uniform globular primary α-Al particles can be obtained when the semi-solid slurry are isothermally held for a short period within the semi-solid temperature range,and the primary α-Al particles without entrapped liquid are uniformly fine,globular grains in the rheo-diecastings.The holding temperature and time affect the solid fraction,particle size,and shape factor.After the semi-solid slurry is held at 625 ℃ for 3 min and 5 min,the optimal values for the average equivalent diameter are 70.80 μm and 74.15 μm,and for the shape factor are 1.32 and 1.42,respectively.The solidification process of the rheo-diecastings is composed of the following two distinct stages:primary solidification process and secondary solidification process.The secondary solidification process consists further of the following three stages:(1) direct growth of secondary primary(α 2) phase from the surface of the primary α-Al phase particles without re-nucleation,(2) independent nucleation and growth of α 3 phase from the residual liquid,and(3) eutectic reaction at the end. | Li Yanlei Li Yuandong Li Chun Wu Huihui | 2012 | China Foundry2012，9，4： | 15 |
| 12 | miR-223 and miR-142 attenuate hematopoietic cell proliferation, and miR-223 positively regulates miR-142 through LMO2 isoforms and CEBP-β显示文摘miR-142 和 miR-223 作为造血的特定的 microRNAs 被识别了。miR-223 在 myeloid 系开发有关键功能。然而, miR-142 的功能仍然保持不清楚。在这研究,我们发现那 miR-142, miR-223 稀释了造血的房间,和那 miR-223 的增长通过 LMO2-L/-S isoforms 和 CEBP- 尾的起来调整的 miR-142 表示。miR-223 否定地 post-transcriptionally 调整了 LMO2-L/-S isoforms 和 CEBP- 尾,当 CEBP- 尾断然调整了 LMO2-L/-S isoforms 并且否定地两个都 LMO2-L/-S isoforms 调整了 miR-142 时。这些结果揭示一条新奇 miR-223 鈥擟E BP-尾鈥擫M O2 鈥攎i R-142 规章的小径,它在造血作用有枢轴的功能。 | Wei Sun Wenwen Shen Shuang Yang Fen Hu Huihui Li Tian-Hui Zhu | 2010 | Cell Research2010，20，10： | 12 |
| 13 | A Nosocomial COVID-19 Outbreak Initiated by an Infected Dockworker at Qingdao City Port-Shandong Province, China, October, 2020显示文摘On October 10,2020,3 cases of coronavirus disease 2019(COVID-19)were detected via routine preadmission nucleic acid screening of inpatients and their visitors at Qingdao Central Hospital.The 3 cases were all related to the Qingdao Chest Hospital.An additional 9 cases were discovered and confirmed through tracing and testing contacts of the 3 initial cases.Viral isolates from all 12 cases were found to have high degrees of genetic homology with the viral isolate from a dockworker at Qingdao Port,referred to as Patient A in this report.A joint investigation team was formed to determine the source of infection and the scale of the outbreak,and to prevent further spread of the virus. | Qun Yuan Zengqiang Kou Fachun Jiang Zhongjie Li Lijie Zhang Huihui Liu Xiang Zhao Dianmin Kang Ruqin Gao Jie Lei | 2020 | China CDC weekly2020，2，43： | 12 |
| 14 | Sensitivity-enhanced surface plasmon resonance sensor utilizing a tungsten disulfide (WS_2) nanosheets overlayer显示文摘Tungsten disulfide(WS_2), as a representative layered transition metal dichalcogenide(TMDC) material, possesses important potential for applications in highly sensitive sensors. Here, a sensitivity-enhanced surface plasmon resonance(SPR) sensor with a metal film modified by an overlayer of WS_2 nanosheets is proposed and demonstrated. The SPR sensitivity is related to the thickness of the WS_2 overlayer, which can be tailored by coating a WS_2 ethanol suspension with different concentrations or by the number of times of repeated post-coating.Benefitting from its large surface area, high refractive index, and unique optoelectronic properties, the WS_2 nanosheet overlayer coated on the gold film significantly improves the sensing sensitivity. The highest sensitivity(up to 2459.3 nm∕RIU) in the experiment is achieved by coating the WS_2 suspension once. Compared to the case without a WS_2 overlayer, this result shows a sensitivity enhancement of 26.6%. The influence of the WS_2 nanosheet overlayer on the sensing performance improvement is analyzed and discussed. Moreover, the proposed WS_2 SPR sensor has a linear correlation coefficient of 99.76% in refractive index range of 1.333 to 1.360. Besides sensitivity enhancement, the WS_2 nanosheet overlayer is able to show additional advantages, such as protection of metal film from oxidation, tunability of the resonance wavelength region, biocompatibility, capability of vapor,and gas sensing. | HAO WANG HUI ZHANG JIANGLI DONG SHIQI HU WENGUO ZHU WENTAO QIU HUIHUI LU JIANHUI YU HEYUAN GUAN SHECHENG GAO ZHAOHUI LI WEIPING LIU MIAO HE JUN ZHANG ZHE CHEN YUNHAN LUO | 2018 | Photonics Research2018，6，6： | 8 |
| 15 | Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction显示文摘The first paradigm of plant breeding involves direct selection-based phenotypic observation,followed by predictive breeding using statistical models for quantitative traits constructed based on genetic experimental design and,more recently,by incorporation of molecular marker genotypes.However,plant performance or phenotype(P)is determined by the combined effects of genotype(G),envirotype(E),and genotype by environment interaction(GEI).Phenotypes can be predicted more precisely by training a model using data collected from multiple sources,including spatiotemporal omics(genomics,phenomics,and enviromics across time and space).Integration of 3D information profiles(G-P-E),each with multidimensionality,provides predictive breeding with both tremendous opportunities and great challenges.Here,we first review innovative technologies for predictive breeding.We then evaluate multidimensional information profiles that can be integrated with a predictive breeding strategy,particularly envirotypic data,which have largely been neglected in data collection and are nearly untouched in model construction.We propose a smart breeding scheme,integrated genomic-enviromic prediction(iGEP),as an extension of genomic prediction,using integrated multiomics information,big data technology,and artificial intelligence(mainly focused on machine and deep learning).We discuss how to implement iGEP,including spatiotemporal models,environmental indices,factorial and spatiotemporal structure of plant breeding data,and cross-species prediction.A strategy is then proposed for prediction-based crop redesign at both the macro(individual,population,and species)and micro(gene,metabolism,and network)scales.Finally,we provide perspectives on translating smart breeding into genetic gain through integrative breeding platforms and open-source breeding initiatives.We call for coordinated efforts in smart breeding through iGEP,institutional partnerships,and innovative technological support. | Yunbi Xu Xingping Zhang Huihui Li Hongjian Zheng Jianan Zhang Michael S.Olsen Rajeev K.Varshney Boddupalli M.Prasanna Qian Qian | 2022 | Molecular Plant2022，15，11： | 7 |
| 16 | Effects of flooding stress on the photosynthetic apparatus of leaves of two Physocarpus cultivars显示文摘We applied under pot-culture conditions and the double-casing pot method to study the characteristics of photosynthetic gas exchange and chlorophyll fluorescence in the leaves of Physocarpus amurensis Maxim(PA) and Physocarpus opulifolius under flooding stress.Our results indicate a significantly higher flooding tolerance of P.opulifolius compared to P.amurensis.Especially in P.amurensis, the limitation of non-stomatal factors played a major role in the advanced stages of flooding stress,observed as a rapid increase of the intercellular CO_2 concentration(C_i) and a decrease of the stomatal limitation value(L_s).The maximal PSII photochemical efficiencies(F_v/F_m) and actual photochemical efficiency(?_(PSII)) in the leaves of P.opulifolius were significantly higher, and the extent of decrease during the flooding process was smaller than in P.amurensis.In addition, the non-chemical quenching(NPQ) in the leaves of P.opulifolius significantly increased from the 10 th day under flooding stress,while the variation of NPQ in the leaves of P.amurensis was much smaller.This indicates that the leaves of P.opulifolius had not only higher PSII photochemical activity, but also improved tolerance to flooding stress, which may be caused by its ability to dissipate excess excitation energy by starting NPQ.At the 16 th day under flooding stress, the PIABSsignificantly decreased with greater extent of decrease than F_v/F_m in the leaves of both Physocarpus,but the decreasing extent of PIABSin P.opulifolius was significantly smaller than in P.amurensis.In the 16 th day under flooding stress, the fluorescence at J and I point(V_J and V_I) in P.amurensis were significantly higher, and the extent of increase in V_J was greater than V_I.However, the variations of V_Jand V_I in the leaves of P.opulifolius were smaller, suggesting that the damage sites of flooding stress to PSII in the leaves of P.amurensis were mainly located in the electron transport process from Q_A at the PSII receptor side to Q_B.Flooding stress reduced the proportion(φ Eo) of luminous energy absorbed by the PSII reaction center for the electron transport following Q_A^-, while the maximum quantum yield(φ Do) of non-photochemical quenching increased.However, the TR_o/RC and ETo/RC in the leaves of P.amurensis decreased accompanied by a dramatic increase of energy(DI_o/RC) from the dissipation in the reaction center.This further indicated that the function of the PSII reaction center in the leaves of P.amurensis was significantly lower than in P.opulifolius. | Huihui Zhang Peng Feng Wei Yang Xin Sui Xin Li Wei Li Rongtao Zhang Siyu Gu Nan Xu | 2018 | Journal of Forestry Research2018，29，4： | 6 |
| 17 | The Statistical Power of Inclusive Composite Interval Mapping in Detecting Digenic Epistasis Showing Common F_2 Segregation Ratios显示文摘Epistasis is a commonly observed genetic phenomenon and an important source of variation of complex traits,which could maintain additive variance and therefore assure the long-term genetic gain in breeding.Inclusive composite interval mapping(ICIM) is able to identify epistatic quantitative trait loci(QTLs) no matter whether the two interacting QTLs have any additive effects.In this article,we conducted a simulation study to evaluate detection power and false discovery rate(FDR) of ICIM epistatic mapping,by considering F_2 and doubled haploid(DH) populations,different F_2 segregation ratios and population sizes.Results indicated that estimations of QTL locations and effects were unbiased,and the detection power of epistatic mapping was largely affected by population size,heritability of epistasis,and the amount and distribution of genetic effects.When the same likelihood of odd(LOD) threshold was used,detection power of QTL was higher in F_2 population than power in DH population;meanwhile FDR in F_2 was also higher than that in DH.The increase of marker density from 10 cM to 5 cM led to similar detection power but higher FDR.In simulated populations,ICIM achieved better mapping results than multiple interval mapping(MIM) in estimation of QTL positions and effect.At the end,we gave epistatic mapping results of ICIM in one actual population in rice(Oryza sativa L.). | Luyan Zhang Huihui Li Jiankang Wang | 2012 | Journal of Integrative Plant Biology2012，54，4： | 6 |
| 18 | Ordering of high-density markers by the k-Optimal algorithm for the traveling-salesman problem显示文摘Construction of accurate and high-density linkage maps is a key research area of genetics.We investigated the efficiency of genetic map construction(MAP)using modifications of the k-Optimal(k-Opt)algorithm for solving the traveling-salesman problem(TSP).For TSP,different initial routes resulted in different optimal solutions.The most optimal solution could be found only by use of as many initial routes as possible.But for MAP,a large number of initial routes resulted in one optimal order.k-Opt using open route length gave a slightly higher proportion of correct orders than the method of adding one virtual marker and using closed route length.Recombination frequency(REC)and logarithm of odds(LOD)score gave similar proportions of correct order,higher than that given by genetic distance.Both missing markers and genotyping error reduced ordering accuracy,but the best order was still achieved with high probability by comparison of the optimal orders from multiple initial routes.Computation time increased rapidly with marker number,and 2-Opt took much less time than 3-Opt.The 2-Opt algorithm was compared with ordering methods used in two other software packages.The best method was 2-Opt using open route length as the criterion to identify the optimal order and using REC or LOD as the measure of distance between markers.We describe a unified software interface for using k-Opt in high-density linkage map construction for a wide range of genetic populations. | Luyan Zhang Huihui Li Lei Meng Jiankang Wang | 2020 | The Crop Journal2020，8，5： | 6 |
| 19 | Artificial Selection in Domestication and Breeding Prevents Speciation in Rice显示文摘Speciation has long been regarded as an irreversible process once the reproductive barriers had been established.However,unlike in natural populations,artificial selection might either accelerate or prevent speciation processes in domesticated species.Asian cultivated rice is a target crop for both domestication and artificial breeding;it contains two subspecies of indica and japonica,which usually produce sterile inter-subspecific hybrids due to reproductive barriers.In this study,we constructed the evolutionary trajectory of a reproductive isolation system S5,which regulates fertility in indica-japonica hybrids via three adjacent genes,based on the data of 606 accessions including two cultivated and 11 wild rice species.Although hybrid sterility haplotypes at S5 lead to establishment of a killer-protector reproductive barrier,origin of wide-compatibility haplotypes by complex hybridization and recombination provides an opposing force to reproductive isolation and thus prevents speciation during domestication.Analysis in a diallel set of 209 crosses involving 21 parents showed that the wide-compatibility genotypes largely rescued fertility of indica-japonica hybrids,indicating that the wide-compatibility gene would enable gene flow to maintain species coherence.This counteracting system indicates that combined effects of natural evolution and artificial selection may result in reversible processes of speciation in rice,which may also have implications for genetic improvement of rice. | Jiaming Mi Guangwei Li Conghao Xu Jiangyi Yang Huihui Yu Gongwei Wang Xianghua Li Jinghua Xiao Huazhi Song Qifa Zhang Yidan Ouyang | 2020 | Molecular Plant2020，13，4： | 6 |
| 20 | Doxorubicin-conjugated pH-responsive gold nanorods for combined photothermal therapy and chemotherapy of cancer显示文摘Cancer chemotherapy can be hindered by drug resistance which leads to lower drug efficiency.Here,we have developed a drug delivery system that tethers doxorubicin to the surface of gold nanorods via a pHsensitive linkage(AuNRs@DOX),for a combined photothermal and chemical therapy for cancer.First,AuNRs@DOX is ingested by HepG2 liver cancer cells.After endocytosis,the acidic pH triggers the release of doxorubicin,which leads to chemotherapeutic effects.The gold nanorods are not only carriers of DOX,but also photothermal conversion agents.In the presence of an 808 nm near-infrared laser,AuNRs@DOX significantly enhance the cytotoxicity of doxorubicin via the photothermal effect,which induces elevated apoptosis of hepG2 cancer cells,leading to better therapeutic effects in vitro and in vivo. | Jin Chen Xiao Li Xinlian Zhao QianQian Wu Huihui Zhu Zhengwei Mao Changyou Gao | 2018 | Bioactive Materials2018，3，3： | 5 |
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