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17篇 您的检索式:作者名="LI Feiran"
    题名 作者 年代 出处 被引量
1Safety Research in Traditional Chinese Medicine: Methods, Applications, and Outlook显示文摘Traditional Chinese medicine (TCM) is a medical system that has collected and summarized abundant clinical experience over its long history of more than 2000 years. However, the frequent occurrence of TCM-induced adverse reactions has hindered the modernization and internationalization of TCM, while attracting increasing attention from around the world. Unlike chemical drugs and biological agents, the difficulties involved in research on the toxicity and safety of TCM mainly include the complexity of its components and the unpredictability of drug–body interactions. Much of TCM, which has overall therapeutic effects, has the typical mechanisms of multiple components, multiple pathways, and multiple targets. While considering the gradualness and unpredictability of TCM toxicity, the ambiguity of toxicants and safe dosage, and individual differences during long-term TCM administration, we have systematically established key techniques for the toxicity assessment of TCM. These techniques mainly include TCM toxicity discovery in an early phase, based on a combination of drug toxicology genomics and metabolomics;methods to identify dose–toxicity relationships in TCM;and integrated techniques for the exploration of TCM interactions, such as fast-screening tests based on drug-metabolizing enzymes and receptor pathways. In particular, we have developed a new technical system for TCM safety evaluation using molecular toxicology, which has been validated well in research on TCM compatibility contraindication, quality control, and allergen discovery. The application of this key technical platform is introduced here in detail. This application includes model organisms, toxicant biomarkers, a magnetic suspension technique, and the application of network toxicology and computational toxicology in research on the toxicity of Fructus toosendan, Semen cassiae, Polygonum multiflorum, and Fructus psoraleae.Yue Gao Aihua Liang Xiaohui Fan Limin Hu Feiran Hao Yubo Li 2019Engineering2019,5,1:19
2Visualization of perforin/gasdermin/complement-formed pores in real cell membranes using atomic force microscopy显示文摘Different types of pores ubiquitously form in cell membranes,leading to various types of cell death that profoundly influence the fate of inflammation and the disease status.However,these pores have never truly been visualized to date.Atomic force microscopy(AFM),which is emerging as a powerful tool to analyze the mechanical properties of biomolecules and cells,is actually an excellent imaging platform that allows biological samples to be visualized by probing surface roughness at the level of atomic resolution.Here,membrane pore structures were clearly visualized using AFM.This visualization not only describes the aperture and depth of the pore complexes but also highlights differences among the pores formed by perforin and gasdermins in tumor cell membranes and by complement in immune cell membranes.Additionally,this type of visualization also reveals the dynamic process of pore formation,fusion,and repair.Yuying Liu Tianzhen Zhang Yabo Zhou Jiping Li Xiaoyu Liang Nannan Zhou Jiadi Lv Jing Xie Feiran Cheng Yiliang Fang Yunfeng Gao Ning Wang Bo Huang 2019Cellular & Molecular Immunology2019,16,6:6
3Cancer classification with data augmentation based on generative adversarial networks显示文摘Accurate diagnosis is a significant step in cancer treatment.Machine learning can support doctors in prognosis decision-making,and its performance is always weakened by the high dimension and small quantity of genetic data.Fortunately,deep learning can effectively process the high dimensional data with growing.However,the problem of inadequate data remains unsolved and has lowered the performance of deep learning.To end it,we propose a generative adversarial model that uses non target cancer data to help target generator training.We use the reconstruction loss to further stabilize model training and improve the quality of generated samples.We also present a cancer classification model to optimize classification performance.Experimental results prove that mean absolute error of cancer gene made by our model is 19.3%lower than DC-GAN,and the classification accuracy rate of our produced data is higher than the data created by GAN.As for the classification model,the classification accuracy of our model reaches 92.6%,which is 7.6%higher than the model without any generated data.Kaimin WEI Tianqi LI Feiran HUANG Jinpeng CHEN Zefan HE 2022Frontiers of Computer Science2022,16,2:2
4Efficient Preparation and Characterization of Functional Graphene with Versatile Applicability显示文摘Graphene,as star versatile materials having extraordinarily high electric conductivity,electron mobility,thermal conductivity,thermal stability,optical transparency,and mechanical strength,has attracted much attention from scientists and engineers in the field of materials,chemistry,physics,energy,and environment in the last decade and achieved fruitful accomplishment.This review discusses preparation strategies,functionality,characterization,and applications for two dimensional nanosheet and quasi-onedimensional nanoribbon of graphene through direct exfoliation of graphite,chemical vapor deposition of hydrocarbon,laser-induced direct synthesis of graphene,laser etched graphene oxide in the dry state without the use of toxic reducing agent hydrazine,unzipping carbon nanotube,and polycondensation of polycyclic aromatics on the basis of 178 representative references mostly in 2015.The stabilization of graphene oxide prepared in chemical preparation in ' top-down' is emphasized.Several vital classic methods of characterizing molecular structure,C/O ratio,defect,morphology,single-or few-layered( 2 to 10 layers) structure,porous and hollow structures,including Raman spectroscopy,AFM,SEM,TEM,STM,electron diffraction,X-ray diffraction,and X-ray photoelectron spectroscopy are systematically introduced.Because graphene possesses novel incomparable multifunctionalities,its versatile applications as novel conducting additives,reinforcing filler,separation membrane,sensor,anticorrosive coating,catalyst,electromagnetic shield,lubricant,and flexible electrode materials in electrochemical and electronic devices,including photovoltaic cells,supercapacitors,rechargeable batteries,sensors,field effect transistors,light emitting diodes,separation membranes,adsorbents and absorbents,catalysts,electro-optic modulator,terahertz emitter and detector,and semiconductors,have been mentioned.Especially in the aspect of both high performance and cost-effectiveness,graphene is expected to be even superior to the expensive carbon nanotubes.Xingui Li Yang Tao Feiran Li Meirong Huang 2016Journal of Harbin Institute of Technology(New Series)2016,23,3:2
5A networked swellable dextrin nanogels loading Bcl2 siRNA for melanoma tumor therapy显示文摘在这研究,联网的可胀大的糊精 nanogel (DNG ) 被开发完成刺激应答的小介入为黑瘤肿瘤的 RNA (siRNA ) 版本治疗。siRNA 被费用冷凝作用装进多维的糊精 nanogels,积极精氨酸残余在糊精脊梁修改了。而且,联网的 nanogel 被破坏并且基于它的 bioreducible 松开了应答的性质在 bioreducible 控制加速的 siRNA 版本细胞内部的环境,当它在正常生理的条件下面仍然保持稳定时。我们由传播电子显微镜学评估在减少的缓冲区状况下面表明了可胀大的有的那 DNG 和拆卸性质。DNG 完成了被触发谷胱甘肽的拆卸货物的选择版本根据共焦的显微镜学观察跟随进 cytosol 的 endosomal 逃跑。因此,这聪明的 nanogel 完成了突出的酶基因 silencing 效率并且减少在 vitro 并且在 vivo 的 Bcl2 蛋白质表示基于西方的污点分析。而且,这 nanogel 在 C57BL/6 老鼠为 B16F10 异种皮移植肿瘤展出了优异反肿瘤活动。这些结果证明联网的 DNG 为基因冷凝作用是有效的并且为肿瘤治疗控制细胞内部的版本。总的来说,这些调查结果建议这多维的可胀大的刺激应答的糊精 nanogel 是有为基因和药交货的大诺言的创新策略。Huipeng Li Zhanwei Zhou Feiran Zhang Yuxin Guo Xue Yang Hulin Jiang Fei Tan David Oupicky Minjie Sun 2018Nano Research2018,11,9:1
6Changes in cyanogen and nutri- ents of para - rubber (Hevea brasiliensis ) seeds during storage and drying 显示文摘LI Feiran LIU Shisbeng 2012Adv Mater Res2012,361,:1
7Bufalin suppresses ovarian cancer cell proliferation via EGFR pathway显示文摘Background:Previous studies have shown that bufalin exerts antitumor effects through various mechanisms.This study aimed to determine the antineoplastic mechanism of bufalin,an extract of traditional Chinese medicine toad venom,in ovarian cancer.Methods:The 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl tetrazolium bromide(MTT),5-ethynyl-2′-deoxyuridine(EdU),and colony formation assays were used to investigate the antiproliferative effect of bufalin on the ovarian cancer cell line SK-OV-3.Molecular docking was used to investigate the combination of bufalin and epidermal growth factor receptor(EGFR)protein.Western blotting was performed to detect the expression of EGFR protein and its downstream targets.Results:Bufalin inhibited the proliferation of SK-OV-3 cells in a dose-and time-dependent manner.Bufalin was confirmed to combine with EGFR protein using molecular docking and downregulate expression of EGFR.Bufalin inhibited phosphorylation of EGFR,protein kinase B(AKT),and extracellular signal-regulated kinase(ERK).Conclusion:Bufalin suppresses the proliferation of ovarian cancer cells through the EGFR/AKT/ERK signaling pathway.Lei Dou Dan Zou Feiran Song Yuxin Jin Yin Li Yi Zhang 2022Chinese Medical Journal2022,,4:1
8Genome-scale metabolic models applied for human health and biopharmaceutical engineering显示文摘Over the last 15 years,genome-scale metabolic models(GEMs)have been reconstructed for human and model animals,such as mouse and rat,to systematically understand metabolism,simulate multicellular or multi-tissue interplay,understand human diseases,and guide cell factory design for biopharmaceutical protein production.Here,we describe how metabolic networks can be represented using stoichiometric matrices and well-defined constraints for flux simulation.Then,we review the history of GEM development for quantitative understanding of Homo sapiens and other relevant animals,together with their applications.We describe how model develops from H.sapiens to other animals and from generic purpose to precise context-specific simulation.The progress of GEMs for animals greatly expand our systematic understanding of metabolism in human and related animals.We discuss the difficulties and present perspectives on the GEM development and the quest to integrate more biological processes and omics data for future research and translation.We truly hope that this review can inspire new models developed for other mammalian organisms and generate new algorithms for integrating big data to conduct more in-depth analysis to further make progress on human health and biopharmaceutical engineering.Feiran Li Yu Chen Johan Gustafsson Hao Wang YiWang Chong Zhang Xinhui Xing 2023Quantitative Biology2023,11,4:0
9Mesoporous MnO_(2)nanosheets for efficient electrocatalytic nitrogen reduction via high spin polarization induced by oxygen vacancy显示文摘The electrochemical N_(2)reduction reaction(NRR)represents a green and sustainable route for NH_(3)synthesis under ambient conditions.However,the mechanism of N_(2)activation in the electrocatalytic NRR remains unclear.Herein,we found that the high spin state Mn^(3+)-Mn^(3+)pairs induced by oxygen vacancy in MnO_(2)nanosheets greatly enhance the catalytic activities.The strong electron transfer between d orbital of Mn and orbital of N2 forces the N_(2)to be of radical nature,which activates the hydrogenation process and weakens the N≡N bond.Based on the density functional theory(DFT)calculation results,we precisely designed mesoporous MnO_(2)nanosheets with rich oxygen vacancies via using methyltriphenylphosphonium bromide(MPB)to induce more Mn^(3+)-Mn^(3+)pairs(Mn^(3-3)-MnO_(2)),which can achieve a fairly high ammonia yield of up to 147.2μg·h^(−1)·mgcat−1.at−0.75 V vs.reversible hydrogen electrode(RHE)and a high Faradaic efficiency(FE)of 11%.Furthermore,these mesoporous MnO_(2)nanosheets exhibit the superior durability with negligible changes in both NH3 yield and FE after a consecutive 6-recycle test and the current density electrolyzed over a 24-hour period.Our findings offer an approach to designing highly active transition metal catalysts for electrocatalytic nitrogen reduction.Yangyang Wen Jiahao Liu Feiran Zhang Zhenxing Li Ping Wang Zhao Fang Miao He Jingshuai Chen Weiyu Song Rui Si Lianzhou Wang 2023Nano Research2023,16,4:0
10Data-Driven Control of Linear Systems via Quantized Feedback显示文摘Quantized feedback control is fundamental to system synthesis with limited communication capacity.In sharp contrast to the existing literature on quantized control which requires an explicit dynamical model,the authors study the quadratic stabilization and performance control problems with logarithmically quantized feedback in a direct data-driven framework,where the system state matrix is not exactly known and instead,belongs to an ambiguity set that is directly constructed from a finite number of noisy system data.To this end,the authors firstly establish sufficient and necessary conditions via linear matrix inequalities for the existence of a common quantized controller that achieves our control objectives over the ambiguity set.Then,the authors provide necessary conditions on the data for the solvability of the LMIs,and determine the coarsest quantization density via semi-definite programming.The theoretical results are validated through numerical examples.LI Xingchen ZHAO Feiran YOU Keyou 2024Journal of Systems Science & Complexity2024,37,1:0
11Construction of hollow mesoporous ZnMn2O4/C microspheres with carbon nanotubes embedded in shells for high-performance aqueous zinc ions batteries显示文摘Recently,rechargeable zinc-ion batteries have been considered as the future development direction of large-scale energy storage due to their low price,safety,environmental friendliness,and excellent electrochemical performance.However,highcapacity,long-cycle stable cathode materials that can meet the demand are still to be developed.Herein,the hollow mesoporous ZnMn2O4/C microsphere cathode material with carbon nanotubes embedded in the shell was prepared by spray pyrolysis for the first time.Its capacity remained at 209.71 mAh·g−1 after 150 cycles at a rate of 0.5 A·g−1,and still maintained a specific capacity of 100.06 mAh·g−1 at a rate of 1 A·g−1 after 1,000 cycles.The outstanding performance is attributed to the hollow structure that can effectively buffer large volume changes caused by ion intercalation and deintercalation,excellent porosity,cationic defects,and high electrical conductivity of carbon nanotubes and its strong adsorption to ZnMn2O4 nanoparticles.Feiran Chen Qinru Wang Xiaofeng Yang Chao Wang Hu Zang Yingwen Tang Tao Li Baoyou Geng 2023Nano Research2023,16,1:0
12A novel method for identification and relative quantification of N-terminal peptides using metal-element-chelated tags coupled with mass spectrometry显示文摘By means of the reaction between a DOTA-NHS-ester bifunctional reagent and N-terminal peptides of proteins,and then chelation of lanthanide metal ions as tags,we established a novel method for the identification of N-terminal peptides of proteins and their relative quantification using metal-element-chelated tags coupled with mass spectrometry.The experimental results indicate that metal elements are able to completely label N-terminal peptides at the protein level.The N-terminal peptides are enriched as the peptides digested with trypsin are selectively eliminated by isothiocyanate-coupled silica beads.We successfully identified the N-terminal peptides of 158 proteins of Thermoanaerobacter tengcongensis incubated at 55 and 75°C,among which N-terminal peptides of 24 proteins are partially acetylated.Moreover,metal-element tags with high molecule weights make it convenient for N-terminal peptides consisting of less than 6 amino acids to be identified;these make up 55percent of the identified proteins.Finally,we developed a general approach for the relative quantification of proteins based on N-terminal peptides.We adopted lysozyme and ribonuclease B as model proteins;the correlation coefficients(R2)of the standard curves for the quantitative method were 0.9994 and 0.9997,respectively,with each concentration ratio ranging from0.1 to 10 and both relative standard derivations(RSD)measured at less than 5%.In T.tengcongensis at two incubation temperatures,80 proteins possess quantitative information.In addition,compared with the proteins of T.tengcongensis incubated at 55°C,in T.tengcongensis incubated at 75°C,7 proteins upregulate whereas 16 proteins downregulate,and most differential proteins are related to protein synthesis.YAN Hui HAO FeiRan CAO QiChen LI JiaBin LI NanNan TIAN Fang BAI HaiHong REN XiaoJun LI XianYu ZHANG YangJun QIAN XiaoHong 2014Science China Chemistry2014,57,5:0
13肿瘤再生细胞通过犬尿氨酸转移以及芳香烃受体激活诱导CD8^+T细胞表达PD-1显示文摘文章简介肿瘤免疫治疗是当前肿瘤研究的热点领域之一,通过利用免疫细胞、免疫分子直接或间接杀伤肿瘤细胞,以控制或清除肿瘤,被认为是人类战胜癌症的希望所在。肿瘤免疫治疗主要依赖活化的T细胞杀伤肿瘤细胞.刘玉英 梁晓雨 董文茜 Yi Fang Jiadi Lv Tianzhen Zhang Roland Fiskesund Jing Xie Jinyan Liu Xiaonan Yin Xun Jin Degao Chen Ke Tang Jingwei Ma Huafeng Zhang Jing Yu Jun Yan Huaping Liang Siqi Mo Feiran Cheng Yabo Zhou Haizeng Zhang Jing Wang Jingnan Li Yang Chen Bing Cui Zhuo-Wei Hu Xuetao Cao F. Xiao-Feng Qin 黄波 2019科学新闻2019,0,2:0
14Influence of soy protein isolate on the gel properties of walnut protein isolate-κ-carrageenan treated with NaCl显示文摘The demand for plant protein is increasing significantly due to the shortage of protein resources.Walnut protein,the main by-product of preparing walnut oil,has limited application in the food industry due to its poor solubility.It was found that the soy protein isolate(SPI)concentration had significant effects on the gel properties of the walnut protein isolate(WNPI)-κ-Carrageenan(KC)composite system treated with 15 mmol/L NaCl.The results showed that the gel strength of the composite system increased first and then decreased with the increased concentration of SPI from 0 to 2.5%.The best rheological properties,texture properties,water holding capacity((92.03±1.05)%),swelling ratio((2.04±0.19)%),freeze-thaw stability and thermal stability(85.53°C)of the composite gel were found at an SPI concentration of 1%.In the meantime,the secondary structure of protein had the least α-helix content of 10.17% and the highest β-sheet content of 39.64%,the fluorescence intensity and free sulfhydryl content reached the highest value.1% SPI could also act as a filler for WNPI to enhance the intermolecular forces such as hydrophobic interaction between the two substances,thus forming a stable gel network structure.This study can provide technical support for improving the gel properties of walnut protein and producing new plant protein gel products.Yuqing Lei Lulu Ma Hui Ouyang Wu Peng Feiran Xu Ping Wang Long Jin Shugang Li 2023Journal of Future Foods2023,3,4:0
15Reconstruction and metabolic profiling of the genome-scale metabolic network model of Pseudomonas stutzeri A1501显示文摘Pseudomonas stutzeri A1501 is a non-fluorescent denitrifying bacteria that belongs to the gram-negative bacterial group.As a prominent strain in the fields of agriculture and bioengineering,there is still a lack of comprehensive understanding regarding its metabolic capabilities,specifically in terms of central metabolism and substrate utilization.Therefore,further exploration and extensive studies are required to gain a detailed insight into these aspects.This study reconstructed a genome-scale metabolic network model for P.stutzeri A1501 and conducted extensive curations,including correcting energy generation cycles,respiratory chains,and biomass composition.The final model,iQY1018,was successfully developed,covering more genes and reactions and having higher prediction accuracy compared with the previously published model iPB890.The substrate utilization ability of 71 carbon sources was investigated by BIOLOG experiment and was utilized to validate the model quality.The model prediction accuracy of substrate utilization for P.stutzeri A1501 reached 90%.The model analysis revealed its new ability in central metabolism and predicted that the strain is a suitable chassis for the production of Acetyl CoA-derived products.This work provides an updated,high-quality model of P.stutzeri A1501for further research and will further enhance our understanding of the metabolic capabilities.Qianqian Yuan Fan Wei Xiaogui Deng Aonan Li Zhenkun Shi Zhitao Mao Feiran Li Hongwu Ma 2023Synthetic and Systems Biotechnology2023,8,4:0
16Repeated inoculation with rumen fluid accelerates the rumen bacterial transition with no benefit on production performance in postpartum Holstein dairy cows显示文摘Background The dairy cow’s postpartum period is characterized by dramatic physiological changes,therefore imposing severe challenges on the animal for maintaining health and milk output.The dynamics of the ruminal microbiota are also tremendous and may play a crucial role in lactation launch.We aim to investigate the potential benefits of early microbial intervention by fresh rumen microbiota transplantation(RMT)and sterile RMT in postpartum dairy cows.Twelve fistulated peak-lactation dairy cows were selected to be the donors for rumen fluid collection.Thirty postpartum cows were divided into 3 groups as the transplantation receptors respectively receiving 10 L fresh rumen fluid(FR),10 L sterile rumen fluid(SR),or 10 L saline(CON)during 3 d after calving.Results Production performance,plasma indices,plasma lipidome,ruminal microbiome,and liver transcriptome were recorded.After fresh and sterile RMT,we found that the molar proportion of propionic acid was increased on d 7 in the FR and SR groups and the bacterial composition was also significantly changed when compared with the CON group.A similarity analysis showed that the similarities between the CON group and FR or SR group on d 7 were 48.40%or 47.85%,whereas the similarities between microbiota on d 7 and 21 in the FR and SR groups were 68.34%or 66.85%.Dry matter intake and feed efficiency were not affected by treatments.Plasmaβ-hydroxybutyrate concentration in the FR group was decreased and significantly different lipids mainly included phosphatidylcholine and lysophosphatidylcholine containing polyunsaturated fatty acids.Hepatic transcriptomics analysis indicated acutephase response pathways were upregulated in the SR group.Conclusions Our study suggests that RMT can shorten the transition process of the ruminal microbiota of postpartum dairy cows with no benefit on dry matter intake or feed efficiency.Inoculation with rumen fluid may not be a useful approach to promote the recovery of postpartum dairy cows.Fanlin Kong Feiran Wang Yijia Zhang Shuo Wang Wei Wang Shengli Li 2024Journal of Animal Science and Biotechnology2024,15,2:0
17Exploit latent Dirichlet allocation for collaborative filtering显示文摘Zhoujun LI Haijun ZHANG Senzhang WANG Feiran HUANG Zhenping LI Jianshe ZHOU 2018Frontiers of Computer Science2018,12,3:0
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