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15篇 您的检索式:作者名="HE Chengwei"
    题名 作者 年代 出处 被引量
1Versatile Nucleotides Substitution in Plant Using an Improved Prime Editing System显示文摘Dear Editor,Base editors(BEs)based on the CRISPR/Cas9 system,including cytosine base editors and adenine base editors,which can efficiently perform four transition mutations(C·G-to-T·A and A·T-to-G·C),have been well studied and widely used to produce base mutations in a variety of organisms,including in plants such as rice.Wen Xu Chengwei Zhang Yongxing Yang Si Zhao Guiting Kang Xiaoqing He Jinling Song Jinxiao Yang 2020Molecular Plant2020,13,5:20
2Additive manufacturing of hydroxyapatite bioceramic scaffolds: Dispersion, digital light processing, sintering, mechanical properties, and biocompatibility显示文摘Hydroxyapatite(HA)bioceramic scaffolds were fabricated by using digital light processing(DLP)based additive manufacturing.Key issues on the HA bioceramic scaffolds,including dispersion,DLP fabrication,sintering,mechanical properties,and biocompatibility were discussed in detail.Firstly,the ffects of dispersant dosage,solid loading,and sintering temperature were studied.The optimal dispersant dosage,solid loading,and sintering temperature were 2wt%,50vol%,and 1250℃,respectively.Then,the mechanical properties and biocompatibility of the HA bioceramic scaffolds were investigated.The DLP-prepared porous HA bioceramic scaffold was found to exhibit excellent mechanical properties and degradation behavior.From this study,DLP technique shows good potential for manufacturing HA bioceramic scaffolds.Chengwei FENG Keqiang ZHANG Rujie HE Guojiao DING Min XIA Xinxin JIN Chen XIE 2020Journal of Advanced Ceramics2020,9,3:12
3Discriminated sgRNAs-Based SurroGate System Greatly Enhances the Screening Efficiency of Plant Base-Edited Cells显示文摘The development of CRISPR/Cas9-mediated base editing has made genomic modification more efficient. However, selection of genetically modified cells from millions of treated cells, especially plant cells, is still challenging. In this study, an efficient surrogate reporter system based on a defective hygromycin resistance gene was established in rice to enrich base-edited cells. After step-by-step optimization, the Discriminated sgRNAs-based SurroGate system (DisSUGs) was established by artificially differentiating the editing abilities of a wild-type single guide RNA (sgRNA) targeting the surrogate reporter gene and an enhanced sgRNA targeting endogenous sites. The DisSUGs enhanced the efficiency of screening base-edited cells by 3- to 5-fold for a PmCDA1-based cytosine-to-tyrosine base editor (PCBE), and 2.5- to 6.5-fold for an adenine base editor (ABE) at endogenous targets. These targets showed editing efficiencies of <25% in the conventional systems. The DisSUGs greatly enhanced the frequency of homozygous substitutions and expanded the activity window slightly for both a PCBE and an ABE. Analyses of the total number of single-nucleotide variants from whole-genome sequencing revealed that, compared with the no-enrichment PCBE strategy, the DisSUGs did not alter the frequency of genome-wide sgRNA-independent off-target mutations, but slightly increased the frequency of target-dependent off-target mutations. Collectively, the DisSUGs developed in this study greatly enhances the efficiency of screening plant base-edited cells and will be a useful system in future applications.Wen Xu Yongxing Yang Ya Liu Guiting Kang Feipeng Wang Lu Li Xinxin Lv Si Zhao Shuang Yuan Jinling Song Ying Wu Feng Feng Xiaoqing He Chengwei Zhang Wei Song Jiuran Zhao Jinxiao Yang 2020Molecular Plant2020,13,1:8
4LncRNA DPP10-AS1 promotes malignant processes through epigenetically activating its cognate gene DPP10 and predicts poor prognosis in lung cancer patients显示文摘Objective:The purpose of this study was to explore the function and gene expression regulation of the newly identified lnc RNA DPP10-AS1 in lung cancer,and its potential value as a prognostic biomarker.Methods:q RT-PCR and Western blot were conducted to detect the expression of DDP10-AS1 and DPP10 in lung cancer cell lines and tissues.The effects of DDP10-AS1 on DPP10 expression,cell growth,invasion,apoptosis,and in vivo tumor growth were investigated in lung cancer cells by Western blot,rescue experiments,colony formation,flow cytometry,and xenograft animal experiments.Results:The novel antisense lnc RNA DPP10-AS1 was found to be highly expressed in cancer tissues(P<0.0001),and its upregulation predicted poor prognosis in patients with lung cancer(P=0.0025).Notably,DPP10-AS1 promoted lung cancer cell growth,colony formation,and cell cycle progression,and repressed apoptosis in lung cancer cells by upregulating DPP10 expression.Additionally,DPP10-AS1 facilitated lung tumor growth via upregulation of DPP10 protein in a xenograft mouse model.Importantly,DPP10-AS1 positively regulated DPP10 gene expression,and both were coordinately upregulated in lung cancer tissues.Mechanically,DPP10-AS1 was found to associate with DPP10 m RNA but did not enhance DPP10 m RNA stability.Hypomethylation of DPP10-AS1 and DPP10 contributed to their coordinate upregulation in lung cancer.Conclusions:These findings indicated that the upregulation of the antisense lnc RNA DPP10-AS1 promotes lung cancer malignant processes and facilitates tumorigenesis by epigenetically regulating its cognate sense gene DPP10.DPP10-AS1 may serve as a candidate prognostic biomarker and a potential therapeutic target in lung cancer.Haihua Tian Jinchang Pan Shuai Fang Chengwei Zhou Hui Tian Jinxian He Weiyu Shen Xiaodan Meng Xiaofeng Jin Zhaohui Gong 2021Cancer Biology & Medicine2021,18,3:5
5Development of nanoscale drug delivery systems of dihydroartemisinin for cancer therapy: A review显示文摘Dihydroartemisinin(DHA),a first-line antimalarial drug,has demonstrated great anticancer effects in many types of tumors,including liver cancer,glioblastoma,and pancreatic cancer.Due to its abilities to induce programmed cell death(PCD;apoptosis,autophagy and ferroptosis),inhibit tumor metastasis and angiogenesis,and modulate the tumor microenvironment,DHA could become an antineoplastic agent in the foreseeable future.However,the therapeutic efficacy of DHA is compromised owing to its inherent disadvantages,including poor stability,low aqueous solubility,and short plasma halflife.To overcome these drawbacks,nanoscale drug delivery systems(NDDSs),such as polymeric nanoparticles(NPs),liposomes,and metal-organic frameworks(MOFs),have been introduced to maximize the therapeutic efficacy of DHA in either single-drug or multidrug therapy.Based on the beneficial properties of NDDSs,including enhanced stability and solubility of the drug,prolonged circulation time and selective accumulation in tumors,the outcomes of DHA-loaded NDDSs for cancer therapy are significantly improved compared to those of free DHA.This reviewfirst summarizes the current understanding of the anticancer mechanisms of DHA and then provides an overview of DHA-including nanomedicines,aiming to provide inspiration for further application of DHA as an anticancer drug.Ka Hong Wong Donglin Yang Shanshan Chen Chengwei He Meiwan Chen 2022Asian Journal of Pharmaceutical Sciences2022,17,4:3
6Protein-protein interaction analysis in crude bacterial lysates using combinational method of ^19F site-specific incorporation and ^19F NMR显示文摘Dong Li Yanan Zhang Yao He Chengwei Zhang Jiefei Wang Ying Xiong Longhua Zhang Yangzhong Liu Pan Shi Changlin Tian 2017Protein & Cell2017,8,2:2
7Improved spa- tial learning performance of fat - 1 mice is associated with enhanced neurogenesis and neuritogenesis by docosahexae- noic acid 显示文摘HE Chengwei QU Xiying CUI Libin 2009PNAS2009,106,11:1
8Non-apoptotic cell death-based cancer therapy:Molecular mechanism,pharmacological modulators,and nanomedicine显示文摘As an emerging cancer therapeutic target,non-apoptotic cell death such as ferroptosis,necroptosis and pyroptosis,etc.,has revealed significant potential in cancer treatment for bypassing apoptosis to enhance the undermined therapeutic efficacy triggered by apoptosis resistance.A variety of anticancer drugs,synthesized compounds and natural products have been proven recently to induce non-apoptotic cell death and exhibit excellent anti-tumor effects.Moreover,the convergence of nanotechnology with functional materials and biomedicine science has provided tremendous opportunities to construct non-apoptotic cell death-based nanomedicine for innovative cancer therapy.Nanocarriers are not only employed in targeted delivery of non-apoptotic inducers,but also used as therapeutic components to induce non-apoptotic cell death to achieve efficient tumor treatment.This review first introduces the main characteristics,the mechanism and various pharmacological modulators of different non-apoptotic cell death forms,including ferroptosis,necroptosis,pyroptosis,autophagy,paraptosis,lysosomal-dependent cell death,and oncosis.Second,we comprehensively review the latest progresses of nanomedicine that induces various forms of non-apoptotic cell death and focus on the nanomedicine targeting different pathways and components.Furthermore,the combination therapies of non-apoptotic cell death with photothermal therapy,photodynamic therapy,immunotherapy and other modalities are summarized.Finally,the challenges and future perspectives in this regard are also discussed.Xuan Wang Peng Hua Chengwei He Meiwan Chen 2022Acta Pharmaceutica Sinica B2022,12,9:1
9Improved spatial learn- ing performance of fat-1 mice is associated with enhanced neuro- genesis and neuritogenesis by docosahexaenoic acids 显示文摘Chengwei HE Xiying QU Libin CUI 2009PNAS2009,106,11:1
10Enabling high-efficiency ethanol oxidation on NiFe-LDH via deprotonation promotion and absorption inhibition显示文摘Nucleophile oxidation reaction(NOR), represented by ethanol oxidation reaction(EOR), is a promising pathway to replace oxygen evolution reaction(OER). EOR can effectively reduce the driving voltage of hydrogen production in direct water splitting. In this work, large current and high efficiency of EOR on a Ni, Fe layered double hydroxide(NiFe-LDH) catalyst were simultaneously achieved by a facile fluorination strategy. F in NiFe-LDH can reduce the activation energy of the dehydrogenation reaction, thus promoting the deprotonation process of NiFe-LDH to achieve a lower EOR onset potential. It also weakens the absorption of OH-and nucleophile electrooxidation products on the surface of NiFe-LDH at a higher potential, achieving a high current density and EOR selectivity, according to density functional theory calculations. Based on our experiment results, the optimized fluorinated NiFe-LDH catalyst achieves a low potential of 1.386 V to deliver a 10 mA cm^(-2)EOR. Moreover, the Faraday efficiency is greater than 95%, with a current density ranging from 10 to 250 mA cm^(-2). This work provides a promising pathway for an efficient and cost-effective NOR catalyst design for economic hydrogen production.Jiawei Shi Huawei He Yinghua Guo Feng Ji Jing Li Yi Zhang Chengwei Deng Liyuan Fan Weiwei Cai 2023Journal of Energy Chemistry2023,,10:0
11Li^(+)-ion bound crown ether functionalization enables dual promotion of dynamics and thermodynamics for ambient ammonia synthesis显示文摘Electrosynthesis of ammonia from the reduction of nitrogen is still confronted with the limited supply of gas reactant in dynamics as well as high activation barrier in thermodynamics.Unfortunately,despite tremendous efforts devoted to electrocatalysts themselves,they still fail to tackle the above two challenges simultaneously.Herein,we employ a heterogeneous catalyst adlayer-composed of crown ethers associated with Li^(+)ions-to achieve the dual promotion of dynamics and thermodynamics for ambient ammonia synthesis.Dynamically,the bound Li^(+)ions interact with the strong quadrupole moment of nitrogen,and trigger considerable reactant flux toward the catalyst.Thermodynamically,Li^(+)associated with the oxygen of crown ether achieves a higher density of states at the Fermi level for the catalyst,enabling effortless electron transfer from the catalysts to nitrogen and thus greatly reducing the activation barrier.As expected,the proof-of-concept system achieves an ammonia yield rate of 168.5μg h^(-1)mg^(-1)and a Faradaic efficiency of 75.3%at-0.3 V vs.RHE.This system-level approach opens up pathways for tackling the two key challenges that have limited the field of ammonia synthesis.Qiyang Cheng Sisi Liu Mengfan Wang Lifang Zhang Yanzheng He Jiajie Ni Jingru Zhang Chengwei Deng Yi Sun Tao Qian Chenglin Yan 2023Journal of Energy Chemistry2023,,10:0
12Erratum to: Protein-protein interaction analysis in crude bacterial lysates using combinational method of ^19F site-specific incorporation and ^19F NMR显示文摘Dong Li Yanan Zhang Yao He Chengwei Zhang Jiefei Wang Ying Xiong Longhua Zhang Yangzhong Liu Pan Shi Changlin Tian 2018Protein & Cell2018,9,6:0
13Spray Effect on the Thermal Performances of a Dry Cooling Tower显示文摘Pre-cooling the inlet air of a dry cooling tower by means of a spray can improve the tower performance during periods of high temperature.To study the spray effect on the thermal performance of natural draft dry cooling towers(NDDCTs),in this study 3-D numerical simulations of such a process have been conducted using Fluent 16.2(a two-way coupled Eulerian-Lagrangian approach).The considered NDDCT is 120 m high and only half system is simulated due to its structural symmetry.Three different spray strategies have been investigated at a typical crosswind speed of 4 m/s,which is the most frequent wind speed.The results have shown that:(1)The three implemented spray strategies can improve the thermal performance of the studied NDDCT with a vary-ing degree of success.In one case,the heat rejection rate can be increased by 35.2%,and the tower outlet water temperature can be decreased by 2.1℃ when compared with the no spray case;(2)To improve the thermal per-formance of the NDDCT using a small amount of water,the design of the spray pre-cooling system must include more nozzles on the windward and fewer or even no nozzles on the leeward sides of the NDDCT.Zhe Geng Feng Feng Shuzhen Zhang Jie Li Chengwei Liu Yang Li Tiantian Liu Suoying He 2023Fluid Dynamics & Materials Processing2023,19,9:0
14Advances in Deep Learning-Based Medical Image Analysis显示文摘Importance.With the booming growth of artificial intelligence(AI),especially the recent advancements of deep learning,utilizing advanced deep learning-based methods for medical image analysis has become an active research area both in medical industry and academia.This paper reviewed the recent progress of deep learning research in medical image analysis and clinical applications.It also discussed the existing problems in the field and provided possible solutions and future directions.Highlights.This paper reviewed the advancement of convolutional neural network-based techniques in clinical applications.More specifically,state-ofthe-art clinical applications include four major human body systems:the nervous system,the cardiovascular system,the digestive system,and the skeletal system.Overall,according to the best available evidence,deep learning models performed well in medical image analysis,but what cannot be ignored are the algorithms derived from small-scale medical datasets impeding the clinical applicability.Future direction could include federated learning,benchmark dataset collection,and utilizing domain subject knowledge as priors.Conclusion.Recent advanced deep learning technologies have achieved great success in medical image analysis with high accuracy,efficiency,stability,and scalability.Technological advancements that can alleviate the high demands on high-quality large-scale datasets could be one of the future developments in this area.Xiaoqing Liu Kunlun Gao Bo Liu Chengwei Pan Kongming Liang Lifeng Yan Jiechao Ma Fujin He Shu Zhang Siyuan Pan Yizhou Yu 2021Health Data Science2021,,1:0
15Review of advanced road materials, structures, equipment, and detection technologies显示文摘As a vital and integral component of transportation infrastructure,pavement has a direct and tangible impact on socio-economic sustainability.In recent years,an influx of groundbreaking and state-of-the-art materials,structures,equipment,and detection technologies related to road engineering have continually and progressively emerged,reshaping the landscape of pavement systems.There is a pressing and growing need for a timely summarization of the current research status and a clear identification of future research directions in these advanced and evolving technologies.Therefore,Journal of Road Engineering has undertaken the significant initiative of introducing a comprehensive review paper with the overarching theme of“advanced road materials,structures,equipment,and detection technologies”.This extensive and insightful review meticulously gathers and synthesizes research findings from 39 distinguished scholars,all of whom are affiliated with 19 renowned universities or research institutions specializing in the diverse and multidimensional field of highway engineering.It covers the current state and anticipates future development directions in the four major and interconnected domains of road engineering:advanced road materials,advanced road structures and performance evaluation,advanced road construction equipment and technology,and advanced road detection and assessment technologies.JRE Editorial Office Maria Chiara Cavalli De Chen Qian Chen Yu Chen Augusto Cannone Falchetto Mingjing Fang Hairong Gu Zhenqiang Han Zijian He Jing Hu Yue Huang Wei Jiang Xuan Li Chaochao Liu Pengfei Liu Quantao Liu Guoyang Lu Yuan Ma Lily Poulikakos Jinsong Qian Aimin Sha Liyan Shan Zheng Tong B.Shane Underwood Chao Wang Chaohui Wang Di Wang Haopeng Wang Xuebin Wang Chengwei Xing Xinxin Xu Min Ye Huanan Yu Huayang Yu Zhe Zeng You Zhan Fan Zhang Henglong Zhang Wenfeng Zhu 2023Journal of Road Engineering2023,3,4:0
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