9 research outputs found

    MLKL limits inflammatory responses through negatively regulating Toll-like receptor signaling pathway

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    炎症是机体清除有害刺激时做出的保护性反应,同时也是修复受损组织的一个过程。先天性免疫对微生物感染、组织损伤等造成的炎症起到了重要作用。但是,先天性免疫信号必须经过严格的调控,才能避免过于强烈的炎症反应对机体造成的不必要的伤害。Toll样受体在宿主识别病原体的入侵、激活炎症反应的过程中发挥了关键作用,因此,关于Toll样受体信号通路的负调控的研究显得尤为重要。本论文的研究发现,混合系蛋白激酶样结构域蛋白(mixedlineagekinasedomain-likeprotein,MLKL)通过负调控Toll样受体信号通路抑制细胞内炎症反应。MLKL是肿瘤坏死因子诱导的细胞坏死过程中的关键蛋白。在研...Inflammation is a protective response by the body to ensure removal of detrimental stimuli, as well as a healing process for repairing damaged tissue. The innate immune system is the major contributor to the acute inflammation induced by microbial infection or tissue damage. However, the innate immune responses must be tightly controlled to avoid excessive inflammation and prevent unwanted damage ...学位:理学硕士院系专业:生命科学学院_生物化学与分子生物学学号:2162012115236

    Functions and Mechanisms of the p38 MAP Kinase Pathway

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    通讯作者。Tel: 0592-2189390, E-mail: [email protected][中文文摘]丝裂原活化蛋白激酶家族可以在一系列细胞外刺激下调控细胞的行为。作为该家族的四个亚家族之一,p38亚族在许多生理过程中扮演着重要角色。p38信号通路可以在紫外照射、热击、高渗透压、炎症因子、生长因子等细胞外刺激时被激活,调控细胞分化、细胞周期、炎症反应等多种生理过程。文章重点讨论了p38亚族各个成员的特性、该信号通路的组成部分、调控机制以及生物学功能。另外,还分析了p38与其他信号通路的联系以及对一些生理过程的影响。[英文文摘]The members of the mitogen-activated protein kinase family participate in cellular responses to a wide range of extracellular stimuli. One of the four sub-families, the p38 group MAP kinases, plays a vital role in numerous biological processes. The p38 signaling pathway can be activated in response to many physical, chemical,and biological stresses, including UV light, heat shock, osmotic shock, inflammatory cytokines, and growth factors.The p38 pathway also regulates various physiological processes such as cell differentiation, the cell cycle, and inflammation. This review focuses on the characteristics of each p38 member, the components of the p38 pathway, and the mechanisms and consequences of p38 activation. We also discuss the interplay between the p38 pathway and other signaling pathways

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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