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| 1 | Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring显示文摘Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km^2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone. | Suwei Zhang Qijie Zhang Armand Albergel Didier Buty Liangmin Yu Haiting Wang Wuxia Bi Peng Cheng Fu Chen Jun Fang Ruirui Hou Xudong Luan Changgan Shu Jingjing Su | 2018 | Journal of Environmental Sciences2018，30，9： | 3 |
| 2 | Import of Rift Valley fever to China:a potential new threat?显示文摘Several recent studies in Virologica Sinica and other journals have highlighted the enormous international challenge of emerging arboviral diseases,such as Zika virus disease,dengue,and chikungunya(Islam et al.,2015;Maurice et al.,2015;Dai et al.,2016;Deng et al.,2016;Song et al.,2016;Wang et al.,2016;Xu et al.,2016;Zhang et al.,2016;Zhou | Xinliang FU Lifang Wang Bo Fang Ruirui Ma Yun Zheng San Huang Pei Zhou Zongxi Cao Jin Tian Shoujun Li Guihong Zhang | 2016 | Virologica Sinica2016，31，5： | 2 |
| 3 | Boron and nitrogen dual-doped carbon as a novel cathode for high performance hybrid ion capacitors显示文摘Hybrid ion capacitors have been considered as a very attractive energy source with high energy density and power density since it combines both merits of lithium ion batteries and supercapacitors. However,their commercial application has been limited by the mismatch of charge-storage capacity and electrode kinetics between the capacitor-type cathode and battery-type anode. Herein, B and N dual-doped 3D superstructure carbon cathode is prepared through a facile template method. It delivers a high specific capacity, excellent rate capability and good cycling stability due to the B, N dual-doping, which has a profound effect in control the porosity, functional groups, and electronic conductivity for the carbon cathode. The hybrid ion capacitors using B, N dual-doping carbon cathode and prelithiated graphite anode show a high energy density of 115.5 Wh/kg at 250 W/kg and remain about 53.6 Wh/kg even at a high power density of 10 kW/kg. Additionally, the novel hybrid device achieves 76.3% capacity retention after 2000 cycles tested at 1250 W/kg power density. Significantly, the simultaneous manipulation of heteroatoms in carbon materials provides new opportunities to boost the energy and power density for hybrid ion capacitors. | Jiangmin Jiang Ping Nie Shan Fang Yadi Zhang Yufeng An Ruirui Fu Hui Dou Xiaogang Zhang | 2018 | Chinese Chemical Letters2018，29，4： | 1 |
| 4 | Drug target inference by mining transcriptional data using a novel graph convolutional network framework显示文摘A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or offtarget effects.Recently,the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology.Here,we propose a novel Siamese spectral-based graph convolutional network(SSGCN)model for inferring the protein targets of chemical compounds from gene transcriptional profiles.Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets,and the biological networks under different experiment conditions further complicate the situation,the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles.On a benchmark set and a large time-split validation dataset,the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map.Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound,or reversely,in finding novel inhibitors of a given target of interest. | Feisheng Zhong Xiaolong Wu Ruirui Yang Xutong Li Dingyan Wang Zunyun Fu Xiaohong Liu XiaoZhe Wan Tianbiao Yang Zisheng Fan Yinghui Zhang Xiaomin Luo Kaixian Chen Sulin Zhang Hualiang Jiang Mingyue Zheng | 2022 | Protein & Cell2022，13，4： | 1 |
| 5 | CsBZIP40 confers resistance against citrus bacterial canker by repressing CsWRKY43-CsPrx53/CsSOD13 cascade mediated ROS scavenging显示文摘As the bacterial etiologic agent causing citrus bacterial canker(CBC),Xanthomonas citri subsp.citri(Xcc)seriously impacts citrus plantation and fruit production globally.In an earlier study,we demonstrated that CsBZIP40 can positively impact CBC resistance in the sweet orange(Citrus sinensis).However,the mechanistic basis for the protective benefits conferred by CsBZIP40 is yet to be delineated.Here,we show that CsBZIP40 positively regulates CBC resistance and reactive oxygen species(ROS)homeostasis in transgenic sweet orange overexpressing CsBZIP40.CsBZIP40 directly binds to the TGA-box of the CsWRKY43 promoter to repress its transcriptional activity.CsWRKY43 overexpression induces CBC susceptibility in transgenic sweet oranges.In contrast,its inhibition produces strong resistance to CBC.CsWRKY43 directly binds to the W-boxes of the CsPrx53 and CsSOD13 promoters to positively regulate the activities of these antioxidant enzymes,resulting in the negative regulation of ROS homeostasis and CBC resistance in sweet orange plants.CsPrx53/CsSOD13 knockdown enhances ROS accumulation and CBC resistance.Overall,our results outline a regulatory pathway through which CsBZIP40 transcriptionally represses CsWRKY43-CsPrx53/CsSOD13 cascade-mediated ROS scavenging in a manner conducive to CBC resistance.These mechanisms underscore the potential importance of CsBZIP40,CsWRKY43,CsPrx53,and CsSOD13,providing promising strategies for the prevention of CBC. | Qiang Li Xiujuan Qin Miao Zhang Qiyuan Yu Ruirui Jia Jie Fan Xin Huang Jia Fu Chenxi Zhang Baohang Xian Wen Yang Qin Long Aihong Peng Lixiao Yao Shanchun Chen Yongrui He | 2023 | Horticulture Research2023，10，8： | 0 |
| 6 | Small protein Cgl2215 enhances phenolic tolerance by promoting MytA activity in Corynebacterium glutamicum显示文摘Corynebacterium glutamicum is a promising chassis microorganism for the bioconversion of lignocellulosic biomass owing to its good tolerance and degradation of the inhibitors generated in lignocellulosic pretreatments.Among the identified proteins encoded by genes within the C.glutamicum genome,nearly 400 are still functionally unknown.Based on previous transcriptome analysis,we found that the hypothetical protein gene cgl2215 was highly upregu-lated in response to phenol,ferulic acid,and vanillin stress.The cgl2215 deletion mutant was shown to be more sensitive than the parental strain to phenolic compounds as well as other environmental factors such as heat,ethanol,and oxidative stresses.Cgl2215 interacts with C.glutamicum mycoloyltransferase A(MytA)and enhances its in vitro esterase activity.Sensitivity assays of theΔmytA andΔcgl2215ΔmytA mutants in response to phenolic stress estab-lished that the role of Cgl2215 in phenolic tolerance was mediated by MytA.Furthermore,transmission electron microscopy(TEM)results showed that cgl2215 and mytA deletion both led to defects in the cell envelope structure of C.glutamicum,especially in the outer layer(OL)and electron-transparent layer(ETL).Collectively,these results indicate that Cgl2215 can enhance MytA activity and affect the cell envelope structure by directly interacting with MytA,thus playing an important role in resisting phenolic and other environmental stresses. | Huawei Gu Xinwei Hao Ruirui Liu Zhenkun Shi Zehua Zhao Fu Chen Wenqiang Wang Yao Wang Xihui Shen | 2022 | Stress Biology2022，2，1： | 0 |
| 7 | Measurements of Reaction Cross Section and Fragment Momentum Distribution for Proton-rich Nucleus ^31Cl显示文摘 | Fang Deqing Ma Chunwang Fu Yaoa Ma Yugang Cai Xiangzhou Guo Wei Liu Guihua Shi Yu Tian Wendong Wang Hongwei Fan Ruirui Fu Fen Gao Hui Gao Qi Guo Wentao Han Jianlong Hu Zhengguo Huang Tianhen Jia Fei Lei Xiangguo Li Bo Sun Zhiyu Wang Meng Wang Jiansong Xiao Zhigang Xu Zhiguo Yao Xiangwu Zhang Hongbin Zhang Xueheng Zheng Chuan Xu Hushan Xiao Guoqing Zhan Wenlong | 2007 | 近代物理研究所和兰州重离子加速器实验室年报:英文版2007，，1： | 0 |
| 8 | Transcriptome and carotenoid profiling of different varieties of Coffea arabica provides insights into fruit color formation显示文摘The processability and ultimate quality of coffee(Coffea arabica)are determined by the composition of the matured fruits.The basis of genetic variation in coffee fruit quality could be explained by studying color formation during fruit maturation.Transcriptome profiling was conducted on matured fruits of four C.arabica varieties(orange colored fruits(ORF);purple colored fruits(PF);red colored fruits(RF)and yellow colored fruits(YF))to identify key color-regulating genes,biosynthesis pathways and transcription factors implicated in fruit color formation.A total of 39,938 genes were identified in the transcriptomes of the four C.arabica varieties.In all,2745,781 and 1224 differentially expressed genes(DEGs)were detected in YF_vs_PF,YF_vs_RF and YF_vs_ORF,respectively,with 1732 DEGs conserved among the three pairwise groups.Functional annotation of the DEGs led to the detection of 28 and 82 key genes involved in the biosynthesis of carotenoids and anthocyanins,respectively.Key transcription factors bHLH,MYB,NAC,MADS,and WRKY implicated in fruit color regulation were detected.The high expression levels of gene-LOC113688784(PSY),gene-LOC113730013(b-CHY),gene-LOC113728842(CCD7),gene-LOC113689681(NCED)and gene-LOC113729473(ABA2)in YF may have accounted for the yellow coloration.The differential expression of several anthocyanin and carotenoid-specific genes in the fruits substantially account for the purple(PF),red(RF),and orange(ORF)colorations.This study provides important insights into fruit color formation and variations in C.arabica and will help to develop coffee varieties with specific color and quality traits. | Faguang Hu Xiaofei Bi Hongming Liu Xingfei Fu Yanan Li Yang Yang Xiaofang Zhang Ruirui Wu Guiping Li Yulan Lv Jiaxiong Huang Xinping Luo Rui Shi | 2022 | Plant Diversity2022，44，3： | 0 |
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