rhBMP-6的表达和纯化

骨形态发生蛋白(bone　morphogenetic protein，BMP)—6属于转化生长因子(transforming growth fac-tor)—β超基因家族，在骨的形成中具有重要作用，并受雌激素选择性上调．本研究利用RT—PCR从人胎盘组织中扩增BMP—6成熟肽的DNA片段，克隆到pGEx—5x—1中，构建GST—BMP6融合蛋白表达载体pGEx—BMP—6，转化E.coli DH5a．克隆质粒转化的工程菌，经IPTG诱导4h后，高效表达GST—BMP6融合蛋白，在SDS—PAGE上出现一新蛋白带，分子量约为42kD，约占总蛋白的25％，表达产物以包涵体形式存在．菌体超声破碎，经0．3％N—十二烷基肌氨酸钠(SKL)溶解包涵体，离心后的上清液加入0．6％　Triton　x—100整合SKL，然后利用谷胱甘肽Sepharose—4B亲和层析纯化．结合GST—BMP6的介质经洗涤、xa因子酶切得到纯度达95％的rhBMP—6蛋白。     

乙醇三维内微肋热管的传热性能

采用实验研究的方法对三维内微肋热管的强化传热特性进行研究，首次报道了以乙醇为工质的三维内微肋热管的传热性能。在实验范围内，与光管相比，竖直放置时，沸腾换热系数可以提高98％—190％，凝结换热系数可以提高76％—178％。三维内微肋结构能够同时明显地强化热管的沸腾换热与凝结换热，可以有效地减小热管的内热阻。     

两种不同示踪剂用于蛋白质与抗原分子微阵列信号检测的对比研究

以氧化型琼脂糖凝胶膜为基片，制作蛋白质与抗原分子微阵列，建立了检测固相人IgG,游离IgG和自身抗体分子的免疫学测定模式，分别以辣根过氧化物酶－二氨基联苯胺一双氧水（HRPDAB－H2O2）和胶体金－硝酸银－对苯二酚2种示踪系统作为蛋白质与抗原分子微阵列信号显示剂，并对其作用的原理与特点进行讨论，检测结果发现基于胶体金的免疫金银染色法（IGSS）比固相酶免疫测定法（EIA）敏感，2种示踪系统对固相人IgG的最低检出量分别为0．05ng和0．5ng；而对血清游离IgG的最低检出量IGSS法比EIA法至少高出10倍，两法用于自身抗体的测定亦表现出较好的重复性，在14例HCV感染者中，自身抗体的总体检出率分别为38．6％和31．4％，结果具有显著的同步性，故同时辅以2种示踪剂并用于阵列芯片的联合测试，有助于提高自身抗体的总体检出水平。     

一种改进的三电平逆变器空间电压矢量PWM控制技术

根据三电平逆变器空间电压矢量PWM控制原理,针对过调制问题,提出了一种改进的空间电压矢量PWM控制技术,并推导了三电平逆变器空间电压矢量在各个过调制区域内的等效作用时间算法.仿真实验结果表明该方法在过调制时能够保证线性调制关系,有效抑制谐波,提高电压利用率.     

论马克思主义中国化

马克思主义中国化是马克思主义自身发展的本质要求，是中国社会经济、政治和文化发展的必然选择。马克思主义中国化迄今为止经历了三个历史阶段，形成了三大理论成果。马克思主义中国化具有鲜明的时代特征，具有伟大的历史意义。     

统筹城乡经济社会发展:解决“三农”问题的重大战略

统筹城乡经济社会发展是解决“三农”问题、实现城乡经济良性循环的必然选择;是解决“三农”问题的重大创新;是全面建设小康社会内在要求的深刻体现。我们要通过深化改革,改变城乡二元结构,建立平等和谐的城乡关系,推进城乡经济社会统筹发展。     

Inhibitory effect of the adenovirus type 5 E1A protein expressed in the yeast system

The human adenovirus type 5 E1A, a tumor- suppressor gene[1], codes for two major related proteins of 243 amino acids (12S) and 289 amino acids (13S) by al-ternative splicing in two exons[2]. Studies have been shown that E1A can regulate expression of many genes and cell cycle[3]. Both in vitro and in vivo experiments indicated that E1A could induce tumor cells differentia-tion, convert tumor cells into an epithelial phenotype, in-hibit tumor cell growth and metastasis and strongly en-ha…     

Roles of protein kinase C in oocyte meiotic maturation and fertilization

Protein kinase C (PKC) is a superfamily of Ser/Thr protein kinases that is distributed widely in eukaryotes. It plays key regulatory roles at multiple steps of oocyte meiotic maturation and fertilization. During the process of meiotic maturation, the activation of PKC in cumulus cells stimulates meiotic maturation, whereas the activation of PKC in oocytes results in the inhibition of germinal vesicle breakdown. PKC activity increases following the meiotic maturation, and decreases at the transition of metaphase/anaphase in meiosis I, so as to facilitate the release of the first polar body and the entry of meiosis II. In fertilization of mammalian oocytes, PKC may act as one of the downstream targets of Ca2+ to stimulate the cortical granule exocytosis, release the oocytes from MII arrest and to induce pronucleus formation. PKC is also involved in the regulation of maturation promoting factor (MPF) and mitogen-activated protein kinase (MAPK). Several PKC isoforms have been identified in mammalian oocytes, and there is evidence showing that classical PKCs may be the principal mediator of oocyte cortical reaction.     

边界单元法三维应力分析计算程序

以三维弹性力学问题的基本解 (Kelvin解 )为基础开发了边界单元法三维弹性应力分析计算程序 ,并对其进行了验证。结果表明 ,该程序可用来求解三维弹性应力问题 ,尤其适用于三维应力集中问题。程序中采用动态分配内存 ,自动选点积分 ,并利用分块解法求解方程组 ,有效地节省了计算机资源 ,扩大了求解问题的规模。     

Dependence of mutual information of big protein sequence

The mutual information function is used to describe the auto-correlation of amino acids in protein. We find two interesting phenomenon: (1) for any given big protein, the mutual information function l(k) is almost a const, where k is the length of gap. (2) for any two sequence similar proteins, the mutual information are nearly the same. As a consequent, we may use mutual information of protein as a character for sequences comparison. Foundation item: Supported by the National Natural Science Foundation of China (30170214) Biography: Shi Feng ( 1966-), male, Ph. D, Associate professor, research direction: bioinformatics.