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5篇 您的检索式:作者名="Lingchen Yang"
    题名 作者 年代 出处 被引量
1Current Status and Challenge of Pseudorabies Virus Infection in China显示文摘Pseudorabies(PR),also called Aujeszky's disease,is a highly infectious disease caused by pseudorabies virus(PRV).Without specific host tropism,PRV can infect a wide variety of mammals,including pig,sheep,cattle,etc.,thereby causing severe clinical symptoms and acute death.PRV was firstly reported in China in 1950s,while outbreaks of emerging PRV variants have been documented in partial regions since 2011,leading to significant economic losses in swine industry.Although scientists have been devoting to the design of diagnostic approaches and the development of vaccines during the past years,PR remains a vital infectious disease widely prevalent in Chinese pig industry.Especially,its potential threat to human health has also attracted the worldwide attention.In this review,we will provide a summary of current understanding of PRV in China,mainly focusing on PRV history,the existing diagnosis methods,PRV prevalence in pig population and other susceptible mammals,molecular characteristics,and the available vaccines against its infection.Additionally,promising agents including traditional Chinese herbal medicines and novel inhibitors that may be employed to treat this viral infection,are also discussed.Lei Tan Jun Yao Yadi Yang Wei Luo Xiaomin Yuan Lingchen Yang Aibing Wang 2021Virologica Sinica2021,36,4:34
22,5-Furandicarboxylic acid production via catalytic oxidation of 5-hydroxymethylfurfural:Catalysts,processes and reaction mechanism显示文摘Biomass conversion to value-added chemicals has received tremendous attention for solving global warming issues and fossil fuel depletion.5-Hydroxymethylfurfural(HMF)is a key bio-based platform molecule to produce many useful organic chemicals by oxidation,hydrogenation,polymerization,and ring-opening reactions.Among all derivatives,the oxidation product 2,5-furandicarboxylic acid(FDCA)is a promising alternative to petroleum-based terephthalic acid for the synthesis of biodegradable plastics.This review analytically discusses the recent progress in the thermocatalytic,electrocatalytic,and photocatalytic oxidation of HMF into FDCA,including catalyst screening,synthesis processes,and reaction mechanism.Rapid fundamental advances may be possible in non-precious metal and metal-free catalysts that are highly efficient under the base-free conditions,and external field-assisted processes like electrochemical or photoelectrochemical cells.Chunlin Chen Lingchen Wang Bin Zhu Zhenqiang Zhou Soliman I.El-Hout Jie Yang Jian Zhang 2021Journal of Energy Chemistry2021,30,3:9
3The desumoylating enzyme sentrin-specific protease 3 contributes to myocardial ischemia reperfusion injury显示文摘Sentrin-specific protease 3(SENP3), a member of the desumoylating enzyme family, is known as a redox sensor and could regulate multiple cellular signaling pathways. However, its implication in myocardial ischemia reperfusion(MIR) injury is unclear. Here, we observed that SENP3 was expressed and upregulated in the mouse heart depending on reactive oxygen species(ROS) production in response to MIR injury. By utilizing si RNA-mediated cardiac specific gene silencing, SENP3 knockdown was demonstrated to significantly reduce MIR-induced infarct size and improve cardiac function. Mechanistic studies indicated that SENP3 silencing ameliorated myocardial apoptosis mainly via suppression of endoplasmic reticulum(ER) stress and mitochondrial-mediated apoptosis pathways. By contrast, adenovirusmediated cardiac SENP3 overexpression significantly exaggerated MIR injury. Further molecular analysis revealed that SENP3 promoted mitochondrial translocation of dynamin-related protein 1(Drp1) in reperfused myocardium. In addition, mitochondrial division inhibitor-1(Mdivi-1), a pharmacological inhibitor of Drp1, significantly attenuated the exaggerated mitochondrial abnormality and cardiac injury by SENP3 overexpression after MIR injury. Taken together, we provide the first direct evidence that SENP3 upregulation pivotally contributes to MIR injury in a Drp1-dependent manner, and suggest that SENP3 suppression may hold therapeutic promise for constraining MIR injury.Lingchen Gao Yichao Zhao Jie He Yang Yan Longwei Xu Nan Lin Qingqi Ji Renyang Tong Yanan Fu Yu Gao Yuanyuan Su Ancai Yuan Ben He Jun Pu 2018Journal of Genetics and Genomics2018,45,3:5
4Determination of trichothecenes A (T-2 toxin, HT-2 toxin, and diacetoxyscirpenol) in the tissues of broilers using liquid chromatography coupled to tandem mass spectrometry显示文摘Lingchen Yang Zhiyong Zhao Aibo Wu Yifeng Deng Zhenlei Zhou Jianpeng Zhang Jiafa Hou 2013Journal of Chromatography B2013,,:1
5iHair Recolorer: deep image-to-video hair color transfer显示文摘In this paper, we present i Hair Recolorer, the first deep-learning based approach for examplebased hair color transfer in videos. Given an input video and a reference image, our method automatically transfers the hair color in the reference image to the hair in the video while keeping other hair attributes(e.g.,shape, structure, and illumination) untouched, producing vivid color-transferred dynamic hair in the video.Our method performs the color transfer purely in the image space, without any form of intermediate 3 D hair reconstruction. The key enabler of our method is a carefully designed conditional generative model that explicitly disentangles various hair attributes into their corresponding sub-spaces, which are implemented as conditional modules integrated into a generator. We introduce a novel spatially and temporally normalized luminance map to represent the structure and illumination of the hair. Such a representation can largely ease the burden of the generator to synthesize temporally coherent vivid dynamic hairs in the video. We further introduce a cycle consistency loss to enforce the faithfulness of the generated results with respect to the reference. We demonstrate our system’s superiority in video hair color transfer by extensive experiments and comparisons to alternative methods.Keyu WU Lingchen YANG Hongbo FU Youyi ZHENG 2021Science China(Information Sciences)2021,64,11:0
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