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| 1 | Green fluorescent protein (GFP) transgenic pig produced by somatic cell nuclear transfer显示文摘Transgenic somatic cell nuclear transfer is a very promising route for producing transgenic farm ani-mals. Research on GFP transgenic pigs can provide useful information for breeding transgenic pigs, human disease models and human organ xenotransplantation. In this study, a liposomal transfection system was screened and transgenic embryos were reconstructed by nuclear transfer of GFP positive cells into enucleated in vitro matured oocytes. The development of reconstructed embryos both in vitro and in vivo was observed, and GFP expression was determined. The results showed that porcine fe-tal-derived fibroblast cells cultured with 4.0 μL/mL liposome and 1.6 μg/mL plasmid DNA for 6 h re-sulted in the highest transfection rate (3.6%). The percentage of GFP reconstructed embryos that de-veloped in vitro to the blastocyst stage was 10%. Of those the GFP positive percentage was 48%. Re-constructed transgenic embryos were transferred to 10 recipients. 5 of them were pregnant, and 3 de-livered 6 cloned piglets in which 4 piglets were transgenic for the GFP as verified by both GFP protein expression and GFP DNA sequence analysis. The percentage of reconstructed embryos that resulted in cloned piglets was 1.0%; while the percentage of piglets that were transgenic was 0.7%. This is the first group of transgenic cloned pigs born in China, marking a great progress in Chinese transgenic cloned pig research. | LIU ZhongHua SONG Jun WANG ZhenKun TIAN JiangTian KONG QingRan ZHENG Zhong YIN Zhi GAO Li MA HaiKun SUN Shuang LI YuTian WANG HongBin R S PRATHER | 2008 | Chinese Science Bulletin2008，53，7： | 8 |
| 2 | Machine Learning-Based Multi-Modal Information Perception for Soft Robotic Hands显示文摘This paper focuses on multi-modal Information Perception(IP)for Soft Robotic Hands(SRHs)using Machine Learning(ML)algorithms.A flexible Optical Fiber-based Curvature Sensor(OFCS)is fabricated,consisting of a Light-Emitting Diode(LED),photosensitive detector,and optical fiber.Bending the roughened optical fiber generates lower light intensity,which reflecting the curvature of the soft finger.Together with the curvature and pressure information,multi-modal IP is performed to improve the recognition accuracy.Recognitions of gesture,object shape,size,and weight are implemented with multiple ML approaches,including the Supervised Learning Algorithms(SLAs)of K-Nearest Neighbor(KNN),Support Vector Machine(SVM),Logistic Regression(LR),and the unSupervised Learning Algorithm(un-SLA)of K-Means Clustering(KMC).Moreover,Optical Sensor Information(OSI),Pressure Sensor Information(PSI),and Double-Sensor Information(DSI)are adopted to compare the recognition accuracies.The experiment results demonstrate that the proposed sensors and recognition approaches are feasible and effective.The recognition accuracies obtained using the above ML algorithms and three modes of sensor information are higer than 85 percent for almost all combinations.Moreover,DSI is more accurate when compared to single modal sensor information and the KNN algorithm with a DSI outperforms the other combinations in recognition accuracy. | Haiming Huang Junhao Lin Linyuan Wu Bin Fang Zhenkun Wen Fuchun Sun | 2020 | Tsinghua Science and Technology2020，25，2： | 4 |
| 3 | SARS-CoV-2 non-structural protein 13 (nspl3) hijacks host deubiquitinase USP13 and counteracts host antiviral immune response显示文摘Dear Editor,COVID-19(Coronavirus Disease-2019),a respiratory disease caused by the novel virus strain,SARS-CoV-2(severe acute respiratory syndrome coronavirus 2),an enveloped,positive-sense,single-stranded RNA betacoronavirus of the family Corona-viridae,has spread worldwide.1 Notably,SARS-CoV-2 infection led to poor induction of typeⅠ interferon response,and the impaired type Ⅰ IFN responses have been shown to be associated with severe COVID-19 disease.2 However,molecular mechanisms by which SARS-CoV-2 suppresses type Ⅰ IFN production,and how host cells respond to the inhibition of type Ⅰ IFN response during SARS-CoV-2 infection,remain largely unknown. | Guijie Guo Ming Gao Xiaochen Gao Bibo Zhu Jinzhou Huang Kuntian Luo Yong Zhang Jie Sun Min Deng Zhenkun Lou | 2021 | Signal Transduction and Targeted Therapy2021，6，4： | 2 |
| 4 | Synthesis ofdual-mesoporous silica using non-ionic diblock copolymerand cationic surfactant as Co-templates显示文摘 | Wei Jingwei Yue Qin Sun Zhenkun | 2012 | AngewandteChemie International Edition2012，51，： | 1 |
| 5 | A General Chelate-Assisted Co-Assembly to Metallic Nanoparticles-Incorporated Ordered Mesoporous Carbon Catalysts for Fischer-Tropsch Synthesis显示文摘 | Sun Zhenkun Sun Bo Qiao Minghua | 2012 | Journal of the American Chemical Society2012，134，17： | 1 |
| 6 | A general chelate-assisted co assembly to metallic nanoparticles-incorporated ordered mesoporous car- bon catalysts for fischer-tropsch synthesis显示文摘 | Sun Zhenkun Sun Bo Qiao Minghua Wei Jing Yue Q Wang Chun | 2012 | Journal of the American Chemical Society2012，134，17： | 1 |
| 7 | Complication following gastric pull-up reconstruction for advanced hypopharyngeal or cervical esophageal carcinoma: a 20-year review in a Chinese institute显示文摘 | He Shuangba Sun Jingwu Wang Yinfeng Hu Yanming Lv Qiuping Li Xianguang Xu Weiqing Wang Shengjun Yu Zhenkun | 2011 | American Journal of Otolaryngology--Head and Neck Medicine and Surgery2011，，4： | 1 |
| 8 | Magnetic 3-D ordered macroporous silica templated from binary colloidal crystals and its application for effective removal of microcystin显示文摘 | Jia Liu Yue Cai Yonghui Deng Zhenkun Sun Dong Gu Bo Tu Dongyuan Zhao | 2009 | Microporous and Mesoporous Materials2009，，1： | 1 |
| 9 | Synthesis of dual - mesoporous silica using non - ionic dibloek copolymer and cat- ionic surfactant as co -templates 显示文摘 | Wei Jingwei Yue Qin Sun Zhenkun | 2012 | Angewandte Chemie Inter- national Edition2012，2，51： | 1 |
| 10 | Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing显示文摘Revolutionary breakthroughs in artificial intelligence (AI) and machine learning (ML) have had a profound impact on a widerange of scientific disciplines, including the development of artificial cell factories for biomanufacturing. In this paper, wereview the latest studies on the application of data-driven methods for the design of new proteins, pathways, and strains. Wefirst briefly introduce the various types of data and databases relevant to industrial biomanufacturing, which are the basis fordata-driven research. Different types of algorithms, including traditional ML and more recent deep learning methods, are alsopresented. We then demonstrate how these data-based approaches can be applied to address various issues in cell factorydevelopment using examples from recent studies, including the prediction of protein function, improvement of metabolicmodels, and estimation of missing kinetic parameters, design of non-natural biosynthesis pathways, and pathway optimization.In the last section, we discuss the current limitations of these data-driven approaches and propose that data-driven methodsshould be integrated with mechanistic models to complement each other and facilitate the development of synthetic strains forindustrial biomanufacturing. | Zhenkun Shi Pi Liu Xiaoping Liao Zhitao Mao Jianqi Zhang Qinhong Wang Jibin Sun Hongwu Ma Yanhe Ma | 2022 | BioDesign Research2022，，1： | 0 |
| 11 | Induction heating enables efficient heterogeneous catalytic reactions over superparamagnetic nanocatalysts显示文摘Most catalytic processes are achieved by heating the whole reaction systems including the entire reactor,substrate and solvent,which leads to energy loss and obvious heat transfer limits.In this study,induction heating was employed to boost the catalytic Suzuki-Miyaura cross-coupling reactions by using conductive superparamagnetic microspheres with loaded Pd nanoparticles as heterogeneous catalysts.It was found that,at the same apparent reaction temperatures,the reactions by adopting the induction heating all exhibit better catalytic performance with higher conversion and yield,as compared to the reactions using conventional joule heating.The improvement is mainly attributed to the localized heating effect endowed by high efficiency of the heat transfer from the heat source to catalytic sites,which dissipates the electromagnetic energy through Néel relaxation mechanism.Moreover,it has be found that the reactions have been largely accelerated,resulting in much shorter reaction time required to approach a given value of reactant conversion.These results indicate that the unique heating method based on the superparamagnetic nanomaterials as both the inductive component and catalyst support holds a promising application for fast and efficient heterogeneous catalytic process,and exhibits potential for improving energy transfer efficiency and reducing the side reactions attributed to the uneven temperature profile. | Chao Huang Yu Wang Rui Zhong Zhenkun Sun Yonghui Deng Lunbo Duan | 2023 | Chinese Chemical Letters2023，34，9： | 0 |
| 12 | Peak-Shaving of the Oxy-Fuel Power Plant Coupled with Liquid O_(2)Storage显示文摘Integrating a high proportion of intermittent renewable energy provides a solution for the higher peak-shaving capacity of coal-fired power plants.Oxy-fuel combustion is one of the most promising carbon reduction technologies for coal-fired power plants.This study has proposed a novel oxy-fuel power plant that is coupled with both liquid O_(2)storage and cold energy recovery systems in order to adapt to the peak-shaving requirements.The liquid O_(2)storage system uses cheap valley electricity to produce liquid O_(2)for a later use in the peak period to enhance the peak-shaving capacity.Meanwhile,the cold energy recovery system has been introduced to recover the physical latent energy during the phase change of liquid O_(2)to increase the power generation in the peak period.Technical economies of three power plants,i.e.a 330 MW(e)oxy-fuel power plant as reference(Case 1),the same power plant coupled with only liquid O_(2)storage system(Case 2),and the same power plant coupled with both liquid O_(2)storage and cold energy recovery systems(Case 3),have been analyzed and compared.Thermodynamic performance analysis indicates that the peaking capacity of Case 3 can reach the range of 106.03 to 294.22 MW(e),and the maximum peak-shaving coefficient can be as high as 2.77.Exergy analysis demonstrates that the gross exergy efficiency of Cases 2 and 3 reaches 32.18%and 33.57%,respectively,in the peak period,which are significantly higher than that of 26.70%in Case 1.Economic analysis shows that through selling the liquid O_(2)and liquid CO_(2),combined with carbon trading,the levelized cost of electricity(LCOE)of the three cases have been greatly reduced,with the lowest one of 30.90 USD/MWh shown in Case 3.For a comprehensive consideration,Case 3 can be considered a future reference of oxy-fuel power plant with the best thermodynamic and economic performance. | FU Xuchen WU Jianwen SUN Zhenkun DUAN Yuanqiang GAO Zhengping DUAN Lunbo | 2023 | Journal of Thermal Science2023，32，5： | 0 |
| 13 | Technical Points of Green Prevention and Control Technology of Major Diseases and Pests in Lixian Rhubarb(Rheum palmatum L.)显示文摘Based on different types of diseases,pests and weeds in the whole growth period of rhubarb(sowing period-harvesting period),the corresponding green prevention and control technology is proposed,aiming to further reduce the application amount of pesticides and fertilizers in the production of medicinal sources of Lixian rhubarb during the'14 th Five-Year Plan'period.The results will provide a theoretical basis for increasing the promotion and application of agricultural prevention and control(including disease-resistant varieties,ecological regulation),physical prevention and control,biological prevention and control measures,thus ensuring effective protection of the ecological environment,green,healthy and sustainable development of traditional Chinese medicine agriculture in Longnan,and source quality of authentic medicinal materials. | Shuizhan PAN Lianhu SUN Minyan LIU Zhenkun WANG Yicun WANG | 2024 | Plant Diseases and Pests2024，15，1： | 0 |
| 14 | Functional characterization of two flavone synthase Ⅱ members in citrus显示文摘Polymethoxylated flavones(PMFs),the main form of flavones in citrus,are derived from the flavone branch of the flavonoid biosynthesis pathway.Flavone synthases(FNSs)are enzymes that catalyze the synthesis of flavones from flavanones.However,the FNS in citrus has not been characterized yet.Here,we identified two type II FNSs,designated CitFNSII-1 and CitFNSII-2,based on phylogenetics and transcriptome analysis.Both recombinant CitFNSII-1 and CitFNSII-2 proteins directly converted naringenin,pinocembrin,and liquiritigenin to the corresponding flavones in yeast.In addition,transient overexpression of CitFNSII-1 and CitFNSII-2,respectively,in citrus peel significantly enhanced the accumulation of total PMFs,while virus-induced CitFNSII-1 and CitFNSII-2 genes silencing simultaneously significantly reduced the expression levels of both genes and total PMF content in citrus seedlings.CitFNSII-1 and CitFNSII-2 presented distinct expression patterns in different cultivars as well as different developmental stages.Methyl salicylate(MeSA)treatment reduced the CitFNSII-2 expression as well as the PMFs content in the peel of Citrus sinensis fruit but did not affect the CitFNSII-1 expression.These results indicated that both CitFNSII-1 and CitFNSII-2 participated in the flavone biosynthesis in citrus while the regulatory mechanism governing their expression might be specific.Our findings improved the understanding of the PMFs biosynthesis pathway in citrus and laid the foundation for further investigation on flavone synthesis regulation. | Juan Zheng Chenning Zhao Zhenkun Liao Xiaojuan Liu Qin Gong Chenwen Zhou Yilong Liu Yue Wang Jinping Cao Lili Liu Dengliang Wang Chongde Sun | 2023 | Horticulture Research2023，10，7： | 0 |
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