9 resultados para Experimental murine model

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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表现型是基因型和环境相互作用的结果,不同环境条件下给定基因型能表达为不同的表型,这是我们所熟知的植物表型可塑性。可塑性一方面帮助植物更好地适应不利环境,但我们也不得不承认可塑性,使得人们难以从表型直接理解基因功能。如今,基因组学快速发展允许解密基因更迅速便捷,甚至发现大量基因。因此,进一步理解可塑性过程的基因背景、理解基因和环境对表型的作用非常必要。由于从基因到表型非线性过程,从而引起基因型和表型差异,期望有效方法或工具能跨越这个横沟。植物生长模型已被开发用来模拟植物响应环境动态关系,并且将参数和环境整合到模型方法中。因此,普遍认为植物生长模型将在探讨复杂可塑性基因功能扮演重要作用。水稻是普遍应用在基因组学和功能基因组学典型的模式植物。水稻分蘖是重要的基因依赖环境敏感的过程,这是农学上非常关注的现象。本文将应用模型方法理解水稻分蘖逆制的可塑性。本研究设计了一个相对优化环境条件下,野生型水稻分蘖逆制试验,该试验有两个处理(1)手工剪切分蘖;(2)一个TDNA突变体,并分别设置对照。本试验在法国国际农业研究发展中心(CIRAD)温室开展,每个试验利用水培方法,培育植株50天左右(营养生长阶段)。在营养生长阶段,定期破坏性测量单个器官的鲜重、干重和单个器官的大小。本文尝试应用两个植物生长模型模拟和解释水稻响应分蘖逆制表型发育。GreenLab是一个植物结构数学模型,已被开发用来模拟植物结构动态和结构功能反馈。植物3D结构决定光捕获和生物产量,然后,生物量分配到新的器官,因此,器官形态结构将发生变化,新阶段的生物量生产将会更新。通过基于最小二乘法的CornerFit软件实现了模型参数优化。另一个模型EcoMeristem,基于作物模型和形态发生概念,用来模拟水稻分生组织活动、器官发生和形态过程等可塑性过程,内部竞争指数Ic主要与环境相关,参数主要描述基因功能。通过植物生长过程模拟与测量的优化,手工提取了模型参数。这两个植物生长模型演示了缩减基因型与表型之间的差距,并实现了水稻响应分蘖完全逆制的可塑性过程。GreenLab模型有一个极好的器官发生基础,但本研究限于单茎拓扑结构。另外,该模型有更长的时间步长,这对描述植物可塑性没有提供足够的分辨能力,这在EcoMeristem模型中得到了解决。很明显,EcoMeristem模型有更弱的结构基础,这可能蕴含了一些可塑性信息的缺失。总体而言,EcoMeristem模型有更专业的可塑性过程、基因环境理解和表达能力。

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Both the rhino mouse and hairless mouse resulted from hairless gene mutation, but they show different phenotypes of skin physiology. The rhino mouse has more similar histological characters to human papular alopecia. Therefore rhino mouse is a good experimental animal model for human papular alopecia. This study reports a hairless mouse named rhino KIZ, arose from KM colony in Kunming Institue of Zoology, by systematic studies on morphology, skin histopathology, gene sequence, pedigree and protein domain analysis. The results demonstrate that a C-to-T transition in exon 11 of hr gene (The mutant gene has been applied for a Chinese patent (patent No. 03135280)) results in the rhino KIZ. The rhino KIZ with clear genetic mechanism will be a useful animal model.

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目的:三价铬作为葡萄糖耐量因子的有效活性成分,具有改善糖尿病人的糖代谢和脂代谢的作用,因此补充三价铬是糖尿病治疗中的有效的营养措施,富铬酵母是目前向人体提供三价铬的有效途径,并且葡萄糖耐量因子可以提高靶组织对胰岛素的敏感性而不促进胰腺的胰岛素分泌,为治疗糖尿病提供了一种新方法。 方法:(1)取昆明种小鼠,分对照与实验组,适应性喂养后实验组小鼠按40mg/kg体重注射STZ,对照组注射相应体积柠檬酸缓冲液,连续注射5天,3天后测血糖值,取血糖值≥11.1mmol/L为成功模型。成模小鼠分为两组,一组灌胃富铬酵母悬液4周,另一组灌胃蒸馏水4周,测血糖值。(2)取昆明种小鼠,分对照与实验组,适应性喂养后实验组小鼠按200mg/kg体重注射STZ,对照组注射相应体积柠檬酸缓冲液,3d后测血糖,取血糖值≥11.1mmol/L为成功模型。成模小鼠分为两组,一组灌胃富铬酵母悬液4周,另一组灌胃蒸馏水4周,测血糖值。(3)取C57BL/6J断乳小鼠,随机分为正常饲料组和高脂饲料组,分别用相应饲料喂养3 周。高脂饲料组又分为高脂饲料对照组和高脂饲料实验组。第3 周末, 高脂饲料实验组腹腔内按100mg/kg体重一次性腹腔注射STZ;正常饲料组和高脂饲料对照组腹腔注射相应体积的无菌柠檬酸缓冲液。继续喂养4 周。小鼠以第7周末血糖为准,≥11.1mmol/L为成功模型。成模小鼠分为2组,1组每日灌胃富铬酵母悬液,另一组灌服相应体积的去离子水,4周后,测血糖值。 结果:对Ⅰ型糖尿病小鼠,富铬酵母治疗2周后,治疗组血糖明显低于对照组血糖(p<0.05),4周后显著低于(p<0.01);对Ⅱ型糖尿病小鼠,富铬酵母治疗2周后,治疗组血糖明显低于对照组血糖(p<0.05),3周后显著低于(p<0.01);对肥胖引起的Ⅱ型糖尿病小鼠,富铬酵母治疗2周后,治疗组血糖显 著低于对照组血糖(p<0.01),且血清胰岛素浓度之间没有明显差异。 结论:富铬酵母具有明显的降血糖作用,且不刺激胰岛素分泌

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Investigation of kerosene combustion in a Mach 2.5 flow was carried out using a model supersonic combustor with cross-section area of 51 mm × 70 mm and different integrated fuel injector/flameholder cavity modules. Experiments with pure liquid atomization and with effervescent atomization were characterized and compared. Direct photography, Schlieren imaging, and planar laser induced fluorescence (PLIF) imaging of OH radical were utilized to examine the cavity characteristics and spray structure. Schlieren images illustrate the effectiveness of gas barbotage in facilitating atomization and the importance of secondary atomization when kerosene sprays interacting with a supersonic crossflow. OH PLIF images further substantiate our previous finding that there exists a local high-temperature radical pool within the cavity flameholder, and this radical pool plays a crucial role in promoting kerosene combustion in a supersonic combustor. Under the same operation conditions, comparison of the measured static pressure distributions along the combustor also shows that effervescent atomization generally leads to better combustion performance than the use of pure liquid atomization. Furthermore, the present results demonstrate that the cavity characteristics can be different in non-reacting and reacting supersonic flows. As such, the conventional definition of cavity characteristics based on non-reacting flows needs to be revised.

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专门设计了可用于研究箭基组合循环发动机(RBCC)在起动阶段(Ma=0)所使用的引射火箭性能的实验装置.作为初步试验,研究了不同工况的引射热喷流(一次流)和被引射空气(二次流)之间混合的演变、发展过程,找出不同来流条件下影响引射性能的主要参数,为最终探明引射火箭的最佳工作条件打下基础,同时根据试验结果提出了促进一、二次流混合的可行方案,便于下一步深入研究.

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The present work focused on improving the engine performance with different fuel equivalence ratios and fuel injections. A scramjet model with strut/cavity integrated configurations was tested under Mach 5.8 flows. The results showed that the strut may sreve as an effective tool in a kerosene-fueled scramjet. The integration of strut/cavities also had great effect on stablizing the combustion in a wide range of fuel equivalence ratio. The one-sdimensional analysis method was used to analyze the main characteristics of the model. The two-stage fuel injection should have better performance in increasing the chemical reaction rate in the first cavity region.

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A side-wall compression scramjet model with different combustor geometries has been tested in a propulsion tunnel that typically provides the testing flow with Mach number of 5.8, total temperature of 1800K, total pressure of 4.5MPa and mass flow rate of 4kg/s. This kerosene-fueled scramjet model consists of a side-wall compression inlet, a combustor and a thrust nozzle. A strut was used to increase the contraction ratio and to inject fuels, as well as a mixing enhancement device. Several wall cavities were also employed for flame-holding. In order to shorten the ignition delay time of the kerosene fuel, a little amount of hydrogen was used as a pilot flame. The pressure along the combustor has an evident raise after ignition occurred. Consequently thrust was observed during the fuel-on period. However, the thrust was still less than the drag of the scramjet model. For this reason, the drag variation produced by different strut and cavities was tested. Typical results showed that the cavities do not influence the drag so much, but the length of the strut does.

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Investigation of kerosene combustion in a Mach 2.5 flow was carried out using a model supersonic combustor with cross-section area of 51 mm?70 mm, with special emphases on the characterization of effervescent atomization and the flameholdering mechanism using different integrated fuel injector/flameholder cavity modules. Direct photography, Schlieren imaging, and Planar Laser Induced Fluorescence (PLIF) imaging of OH were utilized to examine the cavity characteristics and spray structure, with and without gas barbotage. Schlieren images illustrate the effectiveness of gas barbotage in facilitating atomization and the importance of secondary atomization when kerosene sprays interacting with a supersonic crossflow. OH-PLIF images further substantiate our previous finding that there exists a local high temperature radical pool within the cavity flameholder and this radical pool plays a crucial role in promoting kerosene combustion in a supersonic combustor. The present results also demonstrate that the cavity characteristics can be different in non-reacting and reacting supersonic flows. As such, the conventional definition of cavity characteristics based on non-reacting flows needs to be revised.

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An analytical model for the spin filtering transport in a ferromagnetic-metal - Al2O3 - n-type semiconductor tunneling structure has been developed, and demonstrated that the ratio of the helicity-modulated photo-response to the chopped one is proportional to the sum of the relative asymmetry in conductance of two opposite spin-polarized tunneling channels and the MCD effect of the ferromagnetic metal film. The performed measurement in an iron-metal/Al2O3/n-type GaAs tunneling structure under the optical spin orientation has verified that all the aspects of the experimental results are very well in accordance with our model in the regime of the spin filtering. After the MCD effect of the iron film is calibrated by an independent measurement, the physical quantity of Delta G(t)/G(t) (Delta G(t) = G(t)(up arrow) - G(t)(down arrow) is the difference of the conductance between two opposite spin tunneling channels, G(t) =( G(t)(up arrow) + G(t)(down arrow))/2 the averaged tunneling conductance), which concerns us most, can be determined quantitatively with a high sensitivity in the framework of our analytical model. Copyright (c) EPLA, 2008.