黑质升压和弓状核降压效应及二者间的机能联系

本工作用神经元胞体兴奋剂L-谷氨酸钠(Glu)注入箭毒化、人工呼吸大鼠的下丘脑弓状核(AR),引起血压下降,心率减慢;多巴胺(DA)受体激动剂去水吗啡注入AR和Glu注入黑质(SN)均产生升压和加速心率的效应,Glu(i.SN)效应可被DA受体阻断剂氟哌啶醇注入双侧AR阻断;从而证明:(1)AR具有降压、降心率功能;(2)黑质可通过AR内的DA受体对AR降压、降心率效应起抑制作用,而实现其加压、加速心率效应。     

人子宫内膜纤蛋白溶酶元激活因子及其抑制因子的分布与调控

人子宫内膜中存在组织型(tPA)及尿激酶型(uPA)两类纤蛋白溶酶元激活因子,其含量在增殖期高于分泌期。本文应用免疫组织化学定位证实uPA及tPA两类抗原存在于子宫内膜的腺体细胞和间质细胞中。应用SDS-PAGE分高蛋白质,继而应用纤蛋白-琼脂糖铺盖技术测得离体培养下间质细胞仅释放tPA,腺体细胞仅释放uPA,但两种细胞均分泌PA的抑制因子(PAI)。培液中加入孕酮,明显抑制PA和刺激PAI生成。雌二醇作用与孕酮相反。某些肽类激素hCG、PRL、GnRH及cAMP作用基本与雌二醇相同。但福司克林(FK)则刺激间质、腺体两种细胞产生tPA及少量uPA,抑制PAI生成。本工作表明人子宫内膜中存在PA及PAI作用相反的酶,受激素调控,其生理意义尚待进一步探讨。     

脑室注射6-羟多巴胺对黄鼠冬眠入眠的影响

采用脑室内注射化学去交感药物6-羟多巴胺(6-OHDA)的方法,观察了人为地降低脑内去甲肾上腺素(NE)系统活动对达乌尔黄鼠入眠的影响。结果表明:脑室注射100-200μg6-OHDA使脑内NE含量减少50％以上,明显促进黄鼠入眠,平均入眠诱导期比自然冬眠动物明显缩短,整个冬眠季内冬眠时间延长,冬眠黄鼠仍具有正常的入眠觉醒周期。这些结果提示脑内NE系统活动水平降低是触发动物入眠的重要因素之一。     

DOCA—Salt高血压大鼠模型的一种简易制备方法：DOCA硅胶管皮下埋入法

用外径４ｍｍ,内径２．５０ｍｍ的硅胶管制成长２５ｍｍ,管内填入ＤＯＣＡ１００ｍｇ,管壁钻有１０一１４个直径约３００μｍ微孔的药管,埋入雄性ＳＤ大鼠（１４０±９ｇ）右下腹皮下,摘除一侧肾脏,术后喂１％盐水。埋管后３周即可形成高血压,埋管后８周大鼠的收缩压达２３．３±０．３７ｋＰａ。而ＤＯＣＡ皮下注射组大鼠（１０ｍｇ／周）术后５周形成高血压,术后１３周大鼠的收缩压达２３．３±０．６６ｋＰａ。两组升压曲线回归系数（１．２９５和０．６９２）之间的差异有极显著性意义（Ｐ＜０．００１）。对照鼠的收缩压一直保持在正常水平（１６±０．１６ｋＰａ）。与ＤＯＣＡ皮下注射法相比,皮下埋管法具有两个显著优点：（１）升压速率较快,升压幅度较大;（２）方法简便可靠,重复性好。     

信号分子在生物脱氮中的作用及检测方法

生物脱氮是由微生物主导的地球氮循环中的重要环节之一,主要包括硝化、反硝化和厌氧氨氧化(anaerobic ammonium oxidation,anammox)等过程。在微生物联合作用下,污水中的有机氮及氨氮经一系列作用转化为氮气,这种经济高效、环境友好的处理工艺在世界范围内得到广泛应用。群体感应(quorum sensing,QS)以信号分子为媒介通过改变菌群密度和周围环境变化来调节微生物的各种行为。大量的研究已证实调控QS信号分子在生物脱氮中具有应用潜力。本文介绍了各种信号分子类型,从基因组学、实际应用等方面综述了各类信号分子以及检测方法,同时针对酰基高丝氨酸内酯(acyl homoserine lactones,AHLs)类信号分子在生物脱氮中的作用进行详细介绍。然而不足之处在于信号分子研究只是停留在实验室阶段,仅仅研究了单一信号分子对生物脱氮的影响。未来可将信号分子应用于实际污水,研究多种信号分子共同作用以及多种微生物之间的QS现象。     

中缝核提取液对体外培养的中脑黑质神经元存活和生长的影响

中脑黑质是中缝核５－ＨＴ神经元最早期的靶组织之一。为了分析神经元对其靶细胞的作用是受某种特异性蛋白或神经营养因子的影响,本文用中缝核提取液作用于体外培养的中脑黑质神经元,证明了该提取液能促进中脑黑质神经元的存活和生长,其活性部分是分子量大于３０ｋＤ的组份,经ＳＤＳ－聚丙烯酰胺梯度凝胶电泳,呈现一条主带,分子量在４３ｋＤ左右。     

用细胞融合的方法选育耐高酒精度的酿酒酵母

选择耐高渗透压、耐高酒精度和发酵终了产酒精量较高的黄酒酵母H—1和目前酒精工业生产用菌K号酒精酵母K—1,运用细胞融合技术选育发酵速度快、产酒精量高的工业用酒精酵母.双倍体黄酒酵母H—1和双倍酒精酵母K—1经过产孢前预培养和产孢培养后,蜗牛酶水解子囊孢子壁,离心收集单倍体子囊孢子,培养后得到单倍体黄酒酵母H—2和单倍体酒精酵母K—2.用硫酸二乙醇诱变处理单倍体细胞,得到单倍体黄酒酵母的维生素缺陷型H—3和单倍体酒精酵母的氨塞骏营养缺陷型K—3通过正交试验找出了H—3和K—3原生质体形成及再生的较优条件是:对数生长后期的细胞33℃、0.2%的β—巯基乙醇预处理15分钟,然后4%蜗牛酶作用2小时.用35%聚乙二醇和10mMCaC1_2诱导融合40分钟,于再生基本夹层培养基上培养获得营养互补融合子,并且考查了融合子的遗传稳定性.通过耐酒精度、一发酵速度和最终产酒精量的测定,筛选出融合子HK—6.HK—6与生产用K号酒精酵母相比,发酵速度相接近,而最终产酒精量提高了11%.可耐受16%的酒精度.     

CFSE标记技术及其在细胞研究中的应用进展

近年来活体染料CFSE已被广泛应用,其作用机制也逐渐阐明。它不仅应用于细胞增殖的体外实验,也可用于追踪细胞在体内的分裂增殖过程,为细胞免疫和细胞生物学研究开辟了一条新的有效途径。本文综述了活体染料CFSE的性质、工作原理及应用。     

Analysis of mouse skin reveals proteins that are altered in a diet-induced diabetic state: a new method for detection of type 2 diabetes

In this study, proteomic analysis was performed on the skin of C57BL/6J mice with type 2 diabetes and compared to nondiabetic controls. To induce obesity and subsequent diabetes, mice were placed on a high-fat diet for 16 wk. After 16 wk, both diabetic and nondiabetic control mice were sacrificed and their skin removed for analysis. Following 2-DE, proteomic profiles from the skin samples were quantified using PDQuest software. Out of more than 1000 distinct protein spots, 28 were shown to be significantly altered with 6 being decreased and 22 increased in the diabetic state compared to controls. The 28 protein spots were removed from the gels and analyzed by MALDI-TOF and MS/MS analyses. Protein identifications revealed that 17 of the 28 proteins were involved in energy metabolism (60.7% of changes observed). Collectively, none of the significantly altered proteins had been shown previously to be altered in diabetic skin. This study not only helps to identify proteins found in skin samples of obese mice with type 2 diabetes, but also shows that skin biopsies coupled with proteomic analysis may be useful as a noninvasive method for the diagnosis of hyperinsulinemia and diabetes.     

Systems Mapping for Hematopoietic Progenitor Cell Heterogeneity

Cells with the same genotype growing under the same conditions can show different phenotypes, which is known as “population heterogeneity”. The heterogeneity of hematopoietic progenitor cells has an effect on their differentiation potential and lineage choices. However, the genetic mechanisms governing population heterogeneity remain unclear. Here, we present a statistical model for mapping the quantitative trait locus (QTL) that affects hematopoietic cell heterogeneity. This strategy, termed systems mapping, integrates a system of differential equations into the framework for systems mapping, allowing hypotheses regarding the interplay between genetic actions and cell heterogeneity to be tested. A simulation approach based on cell heterogeneity dynamics has been designed to test the statistical properties of the model. This model not only considers the traditional QTLs, but also indicates the methylated QTLs that can illustrate non-genetic individual differences. It has significant implications for probing the molecular, genetic and epigenetic mechanisms of hematopoietic progenitor cell heterogeneity.