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| 1 | EGFR signaling augments TLR4 cell surface expression and function in macrophages via regulation of Rab5a activation显示文摘Dear Editor,oll-like receptor 4(TLR4)is a key receptor sensing bacterial lipopolysaccharide(LPS),and is the most investigated member of the Tol-like receptor family(Kawai and Akira,2007;Kayagaki et al,2013;Klein et al.,2015).Cell surface TLR4 expression is determined by the balance between receptor trafficking from the Golgi apparatus to the cell membrane,and internalization of the cell surface receptor into endosomal compartments(Saltoh,2009).In bone mar-row-derived macrophages(BMDM),we observed LPS-in-duced EGFR phosphorylation on the surface of BMDM,and this was inhibited by pretreatment with PD168393 or TAPI-1(Fig.S1).Next,we measured dynamic changes in cell sur-face TLR4 expression after LPS treatment.At6,12,and 24 h after LPS treatment,TLR4 expression on the surface of BMDM was increased^2-,~6-,and^9-fold,respectively,as compared with controls. | Jing Tang Bowei Zhou Melanie JScott Linsong Chen Dengming Lai Erica KFan Yuehua Li Qiang Wu Timothy RBilliar Mark AWilson Ping Wang Jie Fan | 2020 | Protein & Cell2020，11，2： | 2 |
| 2 | Research on full-period acquisition method for diesel engine based on self-adaptive correlation analysis显示文摘Full-period signal acquisition of vibration signal plays a vital role in the health monitoring and fault diagnosis of modern industrial equipment group. The traditional full-period signal acquisition methods usually need not only a reference signal generated from special key phase device but also a reserved position, which is only suitable for a small number of particular equipment. A novel full-period signal acquisition method without key phase is proposed to construct the time-frequency method with strong energy concentration called the synchrosqueezing generalized S-Transform(SGST), combining together the Teager energy operator(TEO) and self-adaptive correlation analysis(SACA) based on the vibration signals of both gear and cylinder head. Actual vibration signals of diesel engine are employed to verify the feasibility and effectiveness of the proposed method by comparing with traditional method with special key phase device. By comparisons, the results show that full-period signal acquisition method without key phase has approximate accuracy for diesel engine under different working conditions. | 赵海朋 Mao Zhiwei Zhang Jinjie Lai Yuehua Wang Zijia Jiang Zhinong | 2020 | High Technology Letters2020，26，3： | 0 |
| 3 | Fiber-specific increase of carotenoid content promotes cotton fiber elongation by increasing abscisic acid and ethylene biosynthesis显示文摘Cotton fiber is a raw material for the global textile industry and fiber quality is essential to its industrial application.Carotenoids are plant secondary metabolites that may serve as dietary components,regulate light harvesting,and scavenge reactive oxygen species.Although carotenoids accumulate predominantly in rapidly elongating cotton fibers,their roles in cotton fiber development remain poorly understood.In this study,a fiber-specific promoter proSCFP was applied to drive the expression of GhOR1Del,a positive regulator of carotenoid accumulation,to upregulate the carotenoid level in cotton fiber in planta.Fiber length,strength,and fineness were increased in proSCFP:GhOR1Del transgenic cotton and abscisic acid(ABA)and ethylene contents were increased in elongating fibers.The ABA downstream regulator GhbZIP27a stimulated the expression of the ethylene synthase gene GhACO3 by binding to its promoter,suggesting that ABA promoted fiber elongation by increasing ethylene production.These findings suggest the involvement of carotenoids and ABA signaling in promoting cotton fiber elongation and provide a strategy for improving cotton fiber quality. | Jianyan Zeng Dan Yao Ming Luo Lingli Ding Yi Wang Xingying Yan Shu’e Ye Chuannan Wang Yiping Wu Jingyi Zhang Yaohua Li Lingfang Ran Yonglu Dai Yang Chen Fanlong Wang Hanyan Lai Nian Liu Nianjuan Fang Yan Pei Yuehua Xiao | 2023 | The Crop Journal2023，11，3： | 0 |
| 4 | Correction to:EGFR signaling augments TLR4 cell surface expression and function in macrophages via regulation of Rab5a activation显示文摘Figure 1.EGFR activation promotes TLR4 phosphorylation and cell surface expression of TLR4 in response to LPS.(A and B)BMDM were treated with LPS(1μg/mL)for 6,12,or 24 h in the presence or absence of pretreatment of PD or TAPI-1.(A)Flow cytometry analysis of cell surface TLR4 intensity in BMDM.(B)Flow cytometry analysis of cell surface TLR4 intensity in BMDM.(C and D)WT(C57BL76)mice were treated with LPS(10 mg/kg,i.p.).In some groups,mice were pretreated with erlotinib(100 mg/kg,gavage administration)at 30 min prior to LPS i.p. | Jing Tang Bowei Zhou Melanie J.Scott Linsong Chen Dengming Lai Erica K.Fan Yuehua Li Qiang Wu Timothy R.Billiar Mark A.Wilson Ping Wang Jie Fan | 2020 | Protein & Cell2020，11，8： | 0 |
| 5 | Fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval SVM显示文摘The fault detection and diagnosis of diesel engine valve clearance can effectively improve the availability and safety of diesel engine and have extremely important value and significance.Diesel engines generally operate in various stable operating conditions,which have important influence on the fault diagnosis.However,many fault diagnosis methods have been put forward under specific stable operating condition based on vibration signal.As the result of great impact caused by operating conditions,corresponding diagnosis models cannot deal with the fault diagnosis under different operating conditions with required accuracy.In this paper,a fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval support vector machine(SVM)is proposed.Firstly,the fault features with weak condition sensitivity have been extracted according to the influence analysis of fault on vibration signal.Moreover,soft interval constraint has been applied to SVM algorithm to reduce the random influence of vibration signal on fault features.In addition,different machine learning algorithms based on different feature sets are adopted to conduct the fault diagnosis under different operating conditions for comparison.Experimental results show that the proposed method is applicable for fault diagnosis under variable operating condition with good accuracy. | 江志农 Lai Yuehua Mao Zhiwei Zhang Jinjie Lai Zehua | 2021 | High Technology Letters2021，27，2： | 0 |
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