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| 1 | RNF2 is recruited by WASH to ubiquitinate AMBRA1 leading to downregulation of autophagy显示文摘洗(Wiskott-Aldrich 症候群蛋白质(黄蜂) 和疤相当或相同的事物) 被识别在经由 Arp2/3 激活排序的 endosomal 工作。我们以前表明了那洗在有 AMBRA1 的 BECN1-PIK3C3 建筑群是 BECN1 和现在的新 interactor。AMBRA1-DDB1-CUL4A 建筑群是为 BECN1 的连接 K63 的 ubiquitination 的 E3 ligase,它为导致饥饿的 autophagy 被要求。洗由 BECN1 ubiquitination 的抑制压制 autophagy。然而, AMBRA1 怎么在 autophagy 期间被调整,留下逃犯。这里,我们发现 RNF2 与 AMBRA1 联系经由 K48 连接充当 E3 ligase 到 ubiquitinate AMBRA1。RNF2 调停在离氨酸 45 点的 AMBRA1 的 ubiquitination。尤其是, RNF2 缺乏提高 autophagy 正式就职。在 autophagy 正式就职之上, RNF2 加强 AMBRA1 降级在的帮助下洗。洗缺乏与 AMBRA1 损害 RNF2 的协会阻碍 AMBRA1 降级。我们的调查结果揭示 autophagy 的规定的另一新奇的层通过为导致 autophagy 的 downregulation 的 AMBRA1 降级洗 RNF2 的招募。 | Pengyan Xia Shuo Wang Guanling Huang Ying Du Pingping Zhu Man Li Zusen Fan | 2014 | Cell Research2014，24，8： | 7 |
| 2 | Association of serum lipids and severity of epithelial ovarian cancer:an observational cohort study of 349 Chinese patients显示文摘While obesity and fat intake have been associated with the risk and prognosis of epithelial ovarian cancer, the association between the lipid levels and epithelial ovarian cancer phenotype remains controversial. We conducted a retrospective study of 349 epithelial ovarian cancer patients who received treatment at Jiangsu Cancer Hospital, China between 2011 and 2017. We analyzed age at diagnosis, blood pressure, plasma glucose content, body mass index(BMI), lipid levels and clinical parameters. Severity of epithelial ovarian cancer was classified according to the International Federation of Gynecology and Obstetrics(FIGO) grading system. Univariate analysis of the clinical factors according to the severity of epithelial ovarian cancer was followed by logistic regression analysis to identify clinical factors significantly associated with epithelial ovarian cancer severity. Univariate analysis indicated that age,BMI, triglyceride(TG), and high density lipoproteins(HDL) differed significantly among different stages of epithelial ovarian cancer(P<0.05). In the logistic regression model, elevated TG(OR: 1.883; 95% CI= 1.207-2.937), and low HDL(OR: 0.497; 95% CI = 0.298-0.829) levels were significantly associated with the high severity epithelial ovarian cancer. Our data indicate that high TG and low HDL levels correlate with a high severity of epithelial ovarian cancer. These data provide important insight into the potential relationship between the lipid pathway and epithelial ovarian cancer phenotype and development. | Yi Zhang Jing Wu Junya Liang Xing Huang Lei Xia Dawei Ma Xinyu Xu Pingping Wu | 2018 | The Journal of Biomedical Research2018，32，5： | 3 |
| 3 | Analysis and Prediction of Regional Electricity Consumption Based on BP Neural Network显示文摘Electricity consumption forecasting is one of the most important tasks for power system workers,and plays an important role in regional power systems.Due to the difference in the trend of power load and the past in the new normal,the influencing factors are more diversified,which makes it more difficult to predict the current electricity consumption.In this paper,the grey system theory and BP neural network are combined to predict the annual electricity consumption in Jiangsu.According to the historical data of annual electricity consumption and the six factors affecting electricity consumption,the gray correlation analysis method is used to screen the important factors,and three factors with large correlation degree are selected as the input parameters of BP neural network.The power forecasting model uses nearly 18 years of data to train and validate the model.The results show that the gray correlation analysis and BP neural network method have higher accuracy in power consumption prediction,and the calculation is more convenient than traditional methods. | Pingping Xia Aihua Xu Tong Lian | 2020 | Journal of Quantum Computing2020，2，1： | 1 |
| 4 | Novel Ti and Mn Mesoporous Molecular Sieves: Synthesis, Characterization and Catalytic Activity in the Epoxidation of Vegetable Oil 显示文摘 | Ye Xia Jiang Pingping Zhang Pingbo | 2010 | Catalysis Letters2010，137，： | 1 |
| 5 | NLRC5 Negatively Regulates the NF-κB and Type I Interferon Signaling Pathways显示文摘 | Jun Cui Liang Zhu Xiaojun Xia Helen Y. Wang Xavier Legras Jun Hong Jiabing Ji Pingping Shen Shu Zheng Zhijian J. Chen Rong-Fu Wang | 2010 | Cell2010，，3： | 1 |
| 6 | Novel Ti and Mnmesoporous molecular sieves:Synthesis,characterization andcatalytic activity in the epoxidation of vegetable oil显示文摘 | Ye Xia Jiang Pingping Zhang Pingbo | 2010 | CatalysisLetters2010，137，： | 1 |
| 7 | Parecoxib Suppresses CHOP and Foxo1 Nuclear Translocation, but Increases GRP78 Levels in a Rat Model of Focal Ischemia显示文摘 | Zhi Ye Na Wang Pingping Xia E. Wang Juan Liao Qulian Guo | 2013 | Neurochemical Research2013，，4： | 1 |
| 8 | Sevoflurane postconditioning involves an up-regulation of HIF-1α and HO-1 expression via PI3K/Akt pathway in a rat model of focal cerebral ischemia显示文摘 | Zhi Ye Qulian Guo Pingping Xia Na Wang E. Wang Yajing Yuan | 2012 | Brain Research2012，，： | 1 |
| 9 | Delayed Administration of Parecoxib, a Specific COX-2 Inhibitor, Attenuated Postischemic Neuronal Apoptosis by Phosphorylation Akt and GSK-3β显示文摘 | Zhi Ye Na Wang Pingping Xia E. Wang Yajing Yuan Qulian Guo | 2012 | Neurochemical Research2012，，2： | 1 |
| 10 | Parecoxib suppresses CHOP and Foxol nuclear translocation,but Increases GRP78 levels in a rat model of focal Ischemia 显示文摘 | Zhi Ye Na Wang Pingping Xia | 2013 | Neurochem Res2013，38，4： | 1 |
| 11 | Remolding Software Engineering Course Based on Engineering Education Concepts显示文摘The core of the engineering education concepts is student-centered teaching,result-oriented teaching,and continuous improvement.It is necessary to carry out course remolding of software engineering course guided by engineering education concepts.This paper first analyzes the pain points of teaching the course of software engineering,and then introduces how to remold the course based on engineering education concepts,including reformulating the teaching objectives,teaching modes,and assessment methods.Through teaching practice,we find that the improved course has achieved a better teaching result,which reflects the advantages of the engineering education concepts. | Jing Jiang Xianyang Wang Yangcheng Xia Huoyuan Wang Pingping Tong Juanjuan Hong | 2023 | Journal of Contemporary Educational Research2023，7，11： | 0 |
| 12 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 13 | Status of an MWth integrated gasification fuel cell powergeneration system in China显示文摘Abstract Here,we provide a status update of an integrated gasification fuel cell(IGFC)power-generation system being developed at the National Institute of Clean-and-Low-Carbon in China at the megawatt thermal(MWth)scale.This system is designed to use coal as fuel to produce syngas as a first step,similar to that employed for the integrated gasification combined cycle.Subsequently,the solid-oxide fuel-cell(SOFC)system is used to convert chemical energy to electricity directly through an electrochemical reaction without combustion.This system leads to higher efficiency as compared with that from a traditional coal-fired power plant.The unreacted fuel in the SOFC system is transported to an oxygencombustor to be converted to steam and carbon dioxide(CO_(2)).Through a heat-recovery system,the steam is condensed and removed,and CO_(2) is enriched and captured for sequestration or utilization.Comprehensive economic analyses for a typical IGFC system was performed and the results were compared with those for a supercritical pulverized coal-fired power plant.The SOFC stacks selected for IGFC development were tested and qualified under hydrogen and simulated coal syngas fuel.Experimental results using SOFC stacks and thermodynamic analyses indicated that the control of hydrogen/CO ratio of syngas and steam/CO ratio is important to avoid carbon deposition with the fuel pipe.A 20-kW SOFC unit is under development with design power output of 20 kW and DC efficiency of 50.41%.A 100 kW-level subsystem will consist of 6920-kW power-generation units,and the MWth IGFC system will consist of 59100 kWlevel subsystems. | Chang Wei Zhien Liu Chufu Li Surinder Singh Haoren Lu Yudong Gong Pingping Li Hanlin Wang Xia Yang Ming Xu Shujun Mu | 2021 | International Journal of Coal Science & Technology2021，8，3： | 0 |
| 14 | Photoconductive study and carrier dynamics of vertically aligned GaAs nanowires显示文摘Single wire devices are generally fabricated to study the electrical and photoelectric behaviors of semiconductor nanowires(NWs);however detriment or contamination can hardly be avoided during manipulation of NWs under focused ion and electron beams.This could not be a trivial factor for III-V NWs which are candidates for high efficiency solar energy harvesting and sensitive photodetection.In this study an alternative way to probe the photoconductive property of individual epitaxial GaAs NWs is presented.For the sample preparation,a uniform spin-coated layer of polymer was selected to be the supporting medium for the vertically aligned NWs structure;then the adequate thinning and polishing of the sample exposed the NW tip and also achieved the required height of NW.An external power adjustable laser was introduced as the excitation source,and the dark and photoconductive currentvoltage properties of individual NW were measured by the conductive atomic force microscopy.The typical Schottky style photoconductive behavior was observed in the vertically aligned GaAs NW,and its photoresponsivity has been found to be much higher than that of the reported for single NW photodetector.Finally,a numerical model based on the experimental setup was established to simulate the photoelectric behavior of individual NW.The minority hole lifetime has been found to dominate the photoconductive current-voltage properties of NW under the positive sample bias,and can be derived from the quantitative fitting of experimental photo-IV curves. | Hui Xia Bimu Yao Zhenyu Lu Pingping Chen Tianxin Li | 2013 | Progress in Natural Science:Materials International2013，23，1： | 0 |
| 15 | An OsPRMT5-OsAGO2/miR1875-OsHXK1 module regulates rice immunity to blast disease显示文摘Rice ARGONAUTE2(OsAGO2)is a core component of the rice RNA-induced silencing complex(RISC),which is repressed by Magnaporthe oryzae(M.oryzae)infection.Whether and how OsAGO2-mediated gene silencing plays a role in rice blast resistance and which sRNAs participate in this process are unknown.Our results indicate that OsAGO2 is a key immune player that manipulates rice defense responses against blast disease.OsAGO2 associates with the 24-nt miR1875 and binds to the promoter region of HEXOKINASE1(OsHXK1),which causes DNA methylation and leads to gene silencing.Our multiple genetic evidence showed that,without M.oryzae infection,OsAGO2/miR1875 RISC promoted OsHXK1 promoter DNA methylation and OsHXK1 silencing;after M.oryzae infection,the reduced OsAGO2/miR1875 led to a relatively activated OsHXK1 expression.OsHXK1 acts as a positive regulator of blast disease resistance that OsHXK1-OE rice exhibited enhanced resistance,whereas Cas9-Oshxk1 rice showed reduced resistance against M.oryzae infection.OsHXK1 may function through its sugar sensor activity as glucose induced defense-related gene expression and reactive oxygen species(ROS)accumulation in Nipponbare and OsHXK1-OE but not in Cas9-Oshxk1 rice.OsAGO2 itself is delicately regulated by OsPRMT5,which senses M.oryzae infection and attenuates OsAGO2-mediated gene silencing through OsAGO2 arginine methylation.Our study reveals an OsPRMT5-OsAGO2/miR1875-OsHXK1 regulatory module that fine tunes the rice defense response to blast disease. | Cong Sheng Xuan Li Shengge Xia Yimai Zhang Ze Yu Cheng Tang Le Xu Zhaoyun Wang Xin Zhang Tong Zhou Pingping Nie Ayesha Baig Dongdong Niu Hongwei Zhao | 2023 | Journal of Integrative Plant Biology2023，65，4： | 0 |
| 16 | Strigolactones positively regulate abscisic acid-dependent heat and cold tolerance in tomato显示文摘Strigolactones are carotenoid-derived phytohormones that impact plant growth and development in diverse ways.However,the roles of strigolactones in the responses to temperature stresses are largely unknown.Here,we demonstrated that strigolactone biosynthesis is induced in tomato(Solanum lycopersicum)by heat and cold stresses.Compromised strigolactone biosynthesis or signaling negatively affected heat and cold tolerance,while application of the synthetic strigolactone analog GR245DS enhanced heat and cold tolerance.Strigolactone-mediated heat and cold tolerance was associated with the induction of abscisic acid(ABA),heat shock protein 70(HSP70)accumulation,C-REPEAT BINDING FACTOR 1(CBF1)transcription,and antioxidant enzyme activity.Importantly,a deficiency in ABA biosynthesis compromised the GR245DS effects on heat and cold stresses and abolished the GR245DS-induced transcription of HSP70,CBF1,and antioxidant-related genes.These results support that strigolactones positively regulate tomato heat and cold tolerance and that they do so at least partially by the induction of CBFs and HSPs and the antioxidant response in an ABA-dependent manner. | Cheng Chi Xuechen Xu Mengqi Wang Hui Zhang Pingping Fang Jie Zhou Xiaojian Xia Kai Shi Yanhong Zhou Jingquan Yu | 2021 | Horticulture Research2021，8，1： | 0 |
| 17 | Solution-combustion Synthesized Nano-pellet α-Al_(2)O_(3) and Catalytic Oxidation of Cyclohexane by Its Supported Cobalt Acetate显示文摘Nano-pelletα-Al_(2)O_(3) was prepared using aluminum nitrate as precursor and urea as fuel by a fast method of solution combustion synthesis.The formation of the nano material was dependent on the molar ratio of fuel/oxidant,calcination temperature,and foreign metallic ions.The prerequisite conditions of the formation were a suitable fuel/oxidant molar ratio larger than two and calcination temperature higher than 673 K.Foreign ions,Ce^(4+) or Co^(2+),hindered this formation via promoting the generation of stable penta-coordinated Al^(3+) ions due to strong interaction with alumina,were revealed by ^(27)Al NMR spectra.Such Al^(3+) ions were recognized as a critical intermediate state for the phase transformation of alumina and their presence deterred the transformation.The nano-pellet morphology of the product demonstrated a specific surface area of 69 m^(2)/g,of which the external surface area occupied 59 m^(2)/g.It was found that the supported cobalt acetate on such nano-pellets existed as nanoparticles attached to the external surface,evidenced by the TEM characterization.The prepared catalyst could efficiently catalyze the selective oxidation of cyclohexane under the reaction condition of pressure under 0.8 MPa,temperature at 373 K,and time for 4 hours.The conversion of the reaction achieved up to 7.9%;while the cyclohexanone selectivity was 42.7%and the cyclohexanone and cyclohexanol selectivity was 91.6%.This catalytic performance recommends the supported cobalt acetate on the inert nano-pellet a-Al_(2)O_(3) as a promising catalyst for the selective oxidation of cyclohexane. | 孔祥友 LIU Wenqiang 刘旭光 ZHANG Pingping LI Xia 王志义 | 2021 | Journal of Wuhan University of Technology(Materials Science)2021，36，6： | 0 |
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