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4篇 您的检索式:作者名="Yanyi Fu"
    题名 作者 年代 出处 被引量
1H3K4me3 epigenomic landscape derived from ChIP-Seq of 1000 mouse early embryonic cells显示文摘Jie Shen Dongqing Jiang Yusi Fu Xinglong Wu Hongshan Guo Binxiao Feng Yuhong Pang Aaron M Streets Fuchou Tang Yanyi Huang 2015Cell Research2015,25,1:4
2Electrochemical Sensor Based on AgNPs-NNH Nanocomposites for Hydrogen Peroxide Detection by Zero Current Potentiometry显示文摘The layered nickel nitrate hydroxide (NNH)nickel base material was prepared by using hydrothermal method,and the AgNPs were synthe- sized on the surface of NNH.The layered AgNPs-NNH nanocomposites were dsed to construct electrochemical sensor for hydrogen peroxide detection. The morphology,composition and structure of the sensing interface materials were characterized and the relationship between zero current potential signals towards hydrogen peroxide and the response performance was explored.The results of field emission electron microscope (FESEM)and transmission electron microscope (TEM)showed that the NNH was layered material with a uniform thickness of 60nm,and AgNPs evenly dispersed on the surface of NNH layer,with the size of 15nm and 23rim,respectively.Based on zero current potentiometry,the electrochemical results indicated that the linear range was from 1.0nmol/L to 1.0mmol/L,with a detection limit of 0.3nmol/L and a sensitivity of 33.7μV-mM^-1.cm^-2.Compared to the chronoam- perometry,the detection limit was reduced four orders of magnitude.Yanyi Fu Huan Hao Xiaoli Liu Jianbin Zhen 2018Chinese Journal of Chemistry2018,36,12:1
3Clinical value of serum Epstein-Barr virus DNA assay in the diagnosis of nasopharyngeal carcinoma显示文摘Dezhong Sun Zhaoke Yang Yugui Fu Yanlin Chen Shoufeng Wang Yun Zhang Yanyi Ma Xiaoyan Zhang 2014Tumor Biology2014,,9:1
4Indoor metabolites and chemicals outperform microbiome in classifying childhood asthma and allergic rhinitis显示文摘Indoor microorganisms impact asthma and allergic rhinitis(AR),but the associated microbial taxa often vary extensively due to climate and geographical variations.To provide more consistent environmental assessments,new perspectives on microbial exposure for asthma and AR are needed.Home dust from 97 cases(32 asthma alone,37 AR alone,28 comorbidity)and 52 age-and gender-matched controls in Shanghai,China,were analyzed using high-throughput shotgun metagenomic sequencing and liquid chromatography-mass spectrometry.Homes of healthy children were enriched with environmental microbes,including Paracoccus,Pseudomonas,and Psychrobacter,and metabolites like keto acids,indoles,pyridines,and flavonoids(astragalin,hesperidin)(False Discovery Rate<0.05).A neural network co-occurrence probability analysis revealed that environmental microorganisms were involved in producing these keto acids,indoles,and pyridines.Conversely,homes of diseased children were enriched with mycotoxins and synthetic chemicals,including herbicides,insecticides,and food/cosmetic additives.Using a random forest model,characteristic metabolites and microorganisms in Shanghai homes were used to classify high and low prevalence of asthma/AR in an independent dataset in Malaysian schools(N=1290).Indoor metabolites achieved an average accuracy of 74.9%and 77.1%in differentiating schools with high and low prevalence of asthma and AR,respectively,whereas indoor microorganisms only achieved 51.0%and 59.5%,respectively.These results suggest that indoor metabolites and chemicals rather than indoor microbiome are potentially superior environmental indicators for childhood asthma and AR.This study extends the traditional risk assessment focusing on allergens or air pollutants in childhood asthma and AR,thereby revealing potential novel intervention strategies for these diseases.Yu Sun Hao Tang Shuang Du Yang Chen Zheyuan Ou Mei Zhang Zhuoru Chen Zhiwei Tang Dongjun Zhang Tianyi Chen Yanyi Xu Jiufeng Li Dan Norback Jamal Hisham Hashim Zailina Hashim Jie Shao Xi Fu Zhuohui Zhao 2023Eco-Environment & Health2023,2,4:0
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