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3篇 您的检索式:作者名="Fu Dachao"
    题名 作者 年代 出处 被引量
1The ontology-based methods of similarity and correlation and their application in urology intelligent retrieval显示文摘Li Xueming Li Binfei Fu Dachao 2013International Journal of Advancements in Computing Technology2013,5,9:1
2Transparent conducting properties of c-axis-oriented NaxCoO2 epitaxial thin films显示文摘Transparent conducting oxides(TCOs)have attracted intensive attention because of their broad application in photoelectric devices such as solar cells,light-emitting diodes,and flat-panel displays.Current TCOs used in industry,including tin(IV)oxide(SnO_2),indium oxide(In_2O_3),indium tin oxide(ITO),and zinc oxide(ZnO),are primarily n-type semiconductors[1-3].Suitable p-type TCOs are stillDaChao Yuan JiangLong Wang Nian FU XiaoLin Wu YueJin Ma ShuFang Wang 2018Science China(Physics,Mechanics & Astronomy)2018,61,10:0
3Stat5^(−/−)CD4^(+)T cells elicit anti-melanoma effect by CD4^(+)T cell remolding and Notch1 activation显示文摘Signal transducers and activators of transcription 5(Stat5)is known to engage in regulating the differentiation and effector function of various subsets of T helper cells.However,how Stat5 regulates the antitumor activity of tumor-infiltrating CD4^(+)T cells is largely unknown.Here,we showed that mice with specific deletion of Stat5 in CD4^(+)T cells were less susceptible to developing subcutaneous and lung metastatic B16 melanoma with CD4^(+)tumor-infiltrating lymphocytes(TILs)remolding.Especially,we confirmed that Stat5-deficient CD4^(+)naïve T cells were prone to polarization of two subtypes of Th17 cells:IFN-γ^(+)and IFN-γ^(-)Th17 cells,which exhibited increased anti-melanoma activity through enhanced activation of Notch1 pathway compared with wild type Th17 cells.Our study therefore revealed a novel function of Stat5 in regulating tumor-specific Th17 cell differentiation and function in melanoma.This study also provided a new possibility for targeting Stat5 and other Th17-associated pathways to develop novel immunotherapies for melanoma patients.Ke Jin Tong Li Zhiyong Miao Jingjing Ran Luyu Chen Dachao Mou Chuang Wang Shasha Wu Hanshuo Yang Xin-Yuan Fu 2022Science China(Life Sciences)2022,65,9:0
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