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| 1 | mTOR regulates TLR-induced c-fos and Th1 responses to HBV and HCV vaccines显示文摘Although IL-12 plays a critical role in priming Th1 and cytotoxic T lymphocyte(CTL) responses, Toll-like receptor(TLR) signaling only induces low amounts of IL-12 in dendritic cells and macrophages, implying the existence of stringent regulatory mechanisms. In this study, we sought to uncover the mechanisms underlying TLR-induced IL-12 expression and the Th1 response. By systemic screening, we identified a number of protein kinases involved in the regulation of TLRinduced IL-12 expression. In particular, PI3 K, ERK, and m TOR play critical roles in the TLR-induced Th1 response by regulating IL-12 and IL-10 production in innate immune cells. Moreover, we identified c-fos as a key molecule that mediates m TOR-regulated IL-12 and IL-10 expression in TLR signaling. Mechanistically, m TOR plays a crucial role in c-fos expression, thereby modulating NFκB binding to promoters of IL-12 and IL-10. By controlling the expression of a special innate gene program, m TOR can specifically regulate the TLR-induced T cell response in vivo. Furthermore, blockade of m TOR by rapamycin efficiently boosted TLR-induced antigen-specific T and B cell responses to HBV and HCV vaccines. Taken together, these results reveal a novel mechanism through which m TOR regulates TLR-induced IL-12 and IL-10 production, contributing new insights for strategies to improve vaccine efficacy. | Li He Aiping Zang Min Du Dapeng Ma Chuanping Yuan Chun Zhou Jing Mu Huanjing Shi Dapeng Li Xulin Huang Qiang Deng Jianhua Xiao Huimin Yan Lijian Hui Ke Lan Sidong Xiong Xiaoxia Li Zhong Huang Hui Xiao | 2015 | Virologica Sinica2015，30，3： | 2 |
| 2 | Waveguidetype optical passive ring resonator gyro using phase modulation spectroscopy technique 显示文摘 | Ma Huflian Zhang Xulin Jin Zhonghe | 2006 | Optical Engineering2006，45，8： | 1 |
| 3 | Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Evaluation of Assimilation Experiments显示文摘The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows us to effectively eliminate or absorb these outliers to produce better analysis fields.In particular,variational quality control(VarQC) can process gray zone outliers and is thus broadly used in variational data assimilation systems.In this study,governing equations are derived for two VarQC algorithms that utilize different contaminated Gaussian distributions(CGDs): Gaussian plus flat distribution and Huber norm distribution.As such,these VarQC algorithms can handle outliers that have non-Gaussian innovations.Then,these VarQC algorithms are implemented in the Global/Regional Assimilation and PrEdiction System(GRAPES) model-level three-dimensional variational data assimilation(m3 DVAR) system.Tests using artificial observations indicate that the VarQC method using the Huber distribution has stronger robustness for including outliers to improve posterior analysis than the VarQC method using the Gaussian plus flat distribution.Furthermore,real observation experiments show that the distribution of observation analysis weights conform well with theory,indicating that the application of VarQC is effective in the GRAPES m3 DVAR system.Subsequent case study and longperiod data assimilation experiments show that the spatial distribution and amplitude of the observation analysis weights are related to the analysis increments of the mass field(geopotential height and temperature).Compared to the control experiment,VarQC experiments have noticeably better posterior mass fields.Finally,the VarQC method using the Huber distribution is superior to the VarQC method using the Gaussian plus flat distribution,especially at the middle and lower levels. | Jie HE Xulin MA Xuyang GE Juanjuan LIU Wei CHENG Man-Yau CHAN Ziniu XIAO | 2021 | Advances in Atmospheric Sciences2021，38，9： | 1 |
| 4 | Waveguide-type optical passive ring resonator gyro using phase modulation spectroscopy technique 显示文摘 | Ma Huilian Zhang Xulin Jin Zhonghe | 2006 | Optical Engineering2006，45，8： | 1 |
| 5 | Expression of EphA1 in gastric carcinomas is associated with metastasisand survival显示文摘 | Jiandong Wang Yingchun Dong Xulin Wang Henghui Ma Zhen Sheng Guli Li Guangming Lu Haruhiko Sugimura Xiaojun Zhou | 2010 | Oncology Reports2010，，6： | 1 |
| 6 | Differential expression of EphA7 receptor tyrosine kinase in gastric carcinoma显示文摘 | Jiandong Wang Guoli Li Henghui Ma Yang Bao Xulin Wang Hangbo Zhou Zhen Sheng Haruhiko Sugimura Jie Jin Xiaojun Zhou | 2007 | Human Pathology2007，，11： | 1 |
| 7 | Simulated Sensitivity of the Tropical Cyclone Eyewall Replacement Cycle to the Ambient Temperature Profile显示文摘In this study, the impacts of the environmental temperature profile on the tropical cyclone eyewall replacement cycle are examined using idealized numerical simulations. It is found that the environmental thermal condition can greatly affect the formation and structure of a secondary eyewall and the intensity change during the eyewall replacement cycle. Simulation with a warmer thermal profile produces a larger moat and a prolonged eyewall replacement cycle. It is revealed that the enhanced static stability greatly suppresses convection, and thus causes slow secondary eyewall formation. The possible processes influencing the decay of inner eyewall convection are investigated. It is revealed that the demise of the inner eyewall is related to a choking effect associated with outer eyewall convection, the radial distribution of moist entropy fluxes within the moat region, the enhanced static stability in the inner-core region, and the interaction between the inner and outer eyewalls due to the barotropic instability. This study motivates further research into how environmental conditions influence tropical cyclone dynamics and thermodynamics. | Xulin MA Jie HE Xuyang GE | 2017 | Advances in Atmospheric Sciences2017，34，9： | 0 |
| 8 | Variational quality control of non-Gaussian innovations and its parametric optimizations for the GRAPES m3DVAR system显示文摘The magnitude and distribution of observation innovations,which have an important impact on the analyzed accuracy,are critical variables in data assimilation.Variational quality control(VarQC)based on the contaminated Gaussian distribution(CGD)of observation innovations is now widely used in data assimilation,owing to the more reasonable representation of the probability density function of innovations that can sufficiently absorb observations by assigning different weights iteratively.However,the inaccurate parameters prevent VarQC from showing the advantages it should have in the GRAPES(Global/Regional Assimilation and PrEdiction System)m3DVAR system.Consequently,the parameter optimization methods are considerable critical studies to improve VarQC.In this paper,we describe two probable CGDs to include the non-Gaussian distribution of actual observation errors,Gaussian plus flat distribution and Huber norm distribution.The potential optimization methods of the parameters are introduced in detail for different VarQCs.With different parameter configurations,the optimization analysis shows that the Gaussian plus flat distribution and the Huber norm distribution are more consistent with the long-tail distribution of actual innovations compared to the Gaussian distribution.The VarQC’s cost and gradient functions with Huber norm distribution are more reasonable,while the VarQC’s cost function with Gaussian plus flat distribution may converge on different minimums due to its nonconcave properties.The weight functions of two VarQCs gradually decrease with the increase of innovation but show different shapes,and the VarQC with Huber norm distribution shows more elasticity to assimilate the observations with a high contamination rate.Moreover,we reveal a general derivation relationship between the CGDs and VarQCs.A novel schematic interpretation that classifies the assimilated data into three categories in VarQC is presented.They are conducive to the development of a new VarQC method in the future. | Jie HE Yang SHI Boyang ZHOU Qiuping WANG Xulin MA | 2023 | Frontiers of Earth Science2023，17，2： | 0 |
| 9 | Inhibition of aryl hydrocarbon receptor signaling promotes the terminal differentiation of human erythroblasts显示文摘The aryl hydrocarbon receptor(AHR)plays an important role during mammalian embryo development.Inhibition of AHR signaling promotes the development of hematopoietic stem/progenitor cells.AHR also regulates the functional maturation of blood cells,such as T cells and megakaryocytes.However,little is known about the role of AHR modulation during the development of erythroid cells.In this study,we used the AHR antagonist StemRegenin 1(SR1)and the AHR agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin during different stages of human erythropoiesis to elucidate the function of AHR.We found that antagonizing AHR signaling improved the production of human embryonic stem cell derived erythrocytes and enhanced erythroid terminal differentiation.RNA sequencing showed that SR1 treatment of proerythroblasts upregulated the expression of erythrocyte differentiation-related genes and downregulated actin organization-associated genes.We found that SR1 accelerated F-actin remodeling in terminally differentiated erythrocytes,favoring their maturation of the cytoskeleton and enucleation.We demonstrated that the effects of AHR inhibition on erythroid maturation were associated with F-actin remodeling.Our findings help uncover the mechanism for AHRmediated human erythroid cell differentiation.We also provide a new approach toward the large-scale production of functionally mature human pluripotent stem cell-derived erythrocytes for use in translational applications. | Yijin Chen Yong Dong Xulin Lu Wanjing Li Yimeng Zhang Bin Mao Xu Pan Xiaohong Li Ya Zhou Quanming An Fangxin Xie Shihui Wang Yuan Xue Xinping Cai Mowen Lai Qiongxiu Zhou Yan Yan Ruohan Fu Hong Wang Tatsutoshi Nakahata Xiuli An Lihong Shi Yonggang Zhang Feng Ma | 2022 | Journal of Molecular Cell Biology2022，14，2： | 0 |
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