利用表达谱基因芯片筛选溃疡性结肠炎差异表达基因

目的:利用人类全基因组表达谱芯片技术,分析溃疡性结肠炎患者和健康者基因表达谱差异,筛选出溃疡性结肠炎相关基因。方法:采用Trizol法提取8例溃疡性结肠炎患者和8例健康对照者结肠粘膜组织总RNA并纯化,逆转录合成c DNA,利用荧光染料Cy3标记aa UTP,转录合成标记的c RNA,并与Agilent人类全基因组表达谱芯片杂交,扫描荧光信号图像,对芯片原始数据进行归一化处理,利用倍数差异和t检验计算筛选出相关差异表达基因,采用DAVID在线分析系统进行基因的功能注释和关联分析,明确差异基因的生物学功能,并对部分差异表达基因进行实时荧光定量PCR验证。结果:筛查出溃疡性结肠炎结肠粘膜组织差异表达基因4132个,其中上调基因2004个,下调基因2128个。选取6条差异表达基因进行PCR验证,结果有3条基因表达上调,3条基因表达下调,表达趋势与芯片结果一致。结论:溃疡性结肠炎患者与健康对照者基因表达存在明显差异,分析这些差异表达基因有助于我们探索溃疡性结肠炎的发病机制,为疾病的治疗提供理论依据。     

应用基因芯片筛选慢性乙型肝炎相关差异性基因

目的：应用基因芯片技术筛选不同病毒载量的慢乙肝病人及健康人差异性表达的基因。方法：选用含有48000位点的人类表达谱cDNA基因芯片,筛选4例慢乙肝病人与2例健康人外周血差异性表达的基因。结果：与健康人相比,慢乙肝患者有838个差异表达的基因,其中高表达的基因有150个,低表达的基因有688个。结论：用表达谱基因芯片可有效地研究高、低病毒载量的慢乙肝患者间,以及它们与健康人之间基因表达的差异,通过进一步分析有望筛选出与慢性乙型肝炎相关的新基因靶点。     

糖尿病小鼠胚胎早期发育的差异表达基因

目的利用小鼠糖尿病模型,探讨母体糖尿病环境对早期胚胎基因表达的影响。方法ICR雌性小鼠腹腔注射150mg／kg剂量STZ诱发糖尿病,与正常雄鼠交配受孕,取14d胎龄的胚胎,提取胚胎的总RNA。将Cy3和Cy52种荧光分别标记到实验组和对照组的RNA上,制成RNA探针,并与包含24859个基因的表达谱芯片进行杂交及扫描,重复3次实验,采用Agilent扫描仪进行扫描软件读取数据。结果筛选出差异表达基因397个,其中有328个基因在实验组表达量比对照组大2倍,69个基因在实验组表达量比对照组小2倍。结论母体糖尿病环境能影响早期胎儿的基因表达,通过上调代谢相关基因和下调发育相关基因影响小鼠胚胎的早期发育。为深入探讨糖尿病胚胎病理和代谢疾病的分子机理提供了基本数据和研究的方向。     

基于流形学习的基因表达谱数据可视化

基因表达谱的可视化本质上是高维数据的降维问题。采用流形学习算法来解决基因表达谱的降维数据可视化,讨论了典型的流形学习算法（Isomap和LLE）在表达谱降维中的适用性。通过类内／类间距离定量评价数据降维的效果,对两个典型基因芯片数据集（结肠癌基因表达谱数据集和急性白血病基因表达谱数据集）进行降维分析,发现两个数据集的本征维数都低于3,因而可以用流形学习方法在低维投影空间中进行可视化。与传统的降维方法（如PCA和MDS）的投影结果作比较,显示Isomap流形学习方法有更好的可视化效果。     

基于Fiedler向量的基因表达谱数据分类方法

尝试将一种基于图的Fiedler向量的聚类算法引入到基因表达谱数据的肿瘤分类中来。该方法将分属不同类的所有样本通过高斯权构造Laplace完全图,经SVD分解后获得Fiedler向量,利用各样本所对应的Fiedler向量分量的符号差异来进行基因表达谱数据的分类。通过模拟数据仿真实验和对白血病两个亚型(ALL与AML)及结肠癌真实数据实验,证明了这一方法的有效性。     

干旱胁迫条件下发菜Ferritin差异表达与基因克隆

发菜(Nostoc flagelliforme)是一种陆生固氮蓝藻,具有强烈的旱生生态适应性.运用双向电泳技术、凝胶图像分析、MALDI-TOF-TOF/MS质谱鉴定和数据库检索,发现发菜Ferritin在干旱胁迫条件下表达量逐渐降低.根据鉴定的Ferritin已知氨基酸序列设计简并性引物克隆该基因,获得了长度为540 bp的DNA,GenBank登陆号为HM854287.序列比较显示该基因具有较高的保守性,蛋白质二级结构主要由α螺旋和随机卷曲构成.RT-PCR分析表明,Ferritin mRNA在干旱胁迫条件下表达量逐渐降低,与Ferritin的表达趋势一致.将Ferritin基因在大肠杆菌中表达,获得符合预期的外源重组蛋白(22.4 kD).实验结果可为进一步研究发菜耐旱的分子机理及探讨发菜对极端干旱环境的适应和保护机制奠定基础.     

植物磷脂酶D基因表达与衰老的关系

磷脂酶D (PLD)是一种重要的磷脂水解酶,在植物细胞中普遍存在。磷脂酶D能激活许多重要的细胞生理功能,包括调控细胞膜的重建、跨膜信号传导及细胞内调控、细胞骨架组装、防御反应以及种子萌发和植物的衰老等。对磷脂酶D的基本特性、磷脂酶D基因特异性表达模式及其活性抑制与植物衰老的关系进行了综述,并探讨和展望了今后植物磷脂酶D基因的研究方向。     

多倍体植物中基因表达模式的变化

植物杂交和多倍化能导致基因组结构发生变化,并显著影响了基因表达,因此认为杂交和多倍化是促进植物进化的一个重要力量。近些年大量的研究表明植物多倍化后基因表达模式发生了复杂的改变,包括基因沉默、基因表达的基因组偏向性及组织特异性、基因激活等现象,本文对这些现象及其特点和机制进行了综述。     

用重组痘苗病毒表达pGHcDNA的研究

构建了含有ｐＧＨｃＤＮＡ的重组痘苗病毒,用ＥＬＩＳＡ证明该重组病毒在被感染的ｈ１４３细胞中,可表达出猪生长激素并将之分泌到培养基中,表达量约为１．０５μｇ／１０￣６细胞（２４ｈ）。用定位免疫化学法进一步证明该病毒可感染小鼠并在小鼠体内表达ｐＧＨｃＤＮＡ。同时还构建了含双拷贝ｐＧＨｃＤＮＡ的重组痘苗病毒,并证明其ｐＧＨ表达量比单拷贝重组病毒有明显提高,约为１．５０μｇ／１０￣６细胞（２４ｈ）。     

应用RNA干扰技术调节大鼠c-jun基因的表达

目的:应用RNA干扰(RNAi)技术调节大鼠c-jun基因在Cos-7细胞中的表达.方法:分别构建大鼠c-jun基因的RNA干扰载体和真核表达GFP(绿色荧光蛋白)载体,将两者共转染Cos-7细胞,镜下观察大鼠C-Jun-GFP融合蛋白的表达,应用Western blot方法检测抑制效率.结果:酶切和测序结果表明,大鼠c-jun基因的RNA干扰载体和真核表达GFP载体构建成功,镜下及Western blot共转染结果均显示随着RNA干扰载体浓度的增加C-Jun-GFP融合蛋白表达量逐渐减少.结论:在Cos-7细胞中应用RNAi技术成功调节大鼠c-jun基因的表达.     

仅基于RNA元件构建可诱导哺乳动物细胞基因表达的调控系统

大量的临床前和临床研究结果已表明基因治疗是理想的疾病治疗手段,然而如何实现治疗基因表达的精确调控仍然是研究人员面临的主要挑战。目前临床前研究常用的基因调控系统多基于控制转录,对反式转录激活因子和专门启动子元件的依赖限制了该系统的临床应用。最近,仅采用RNA元件构建的几种基因表达调控系统得到开发,其作用机制为核酶介导的RNA自我切割、RNA干扰、mRNA翻译启动或终止控制等。该类系统的调控活性由小分子配体反式控制,诱导基因表达的变化幅度可观,反应快速,在哺乳动物体内外均可实现。该系统结构模块化,调控活性可调节,可以克服现有转录调节系统的一些应用局限,对将来基因治疗的临床应用具有重要意义。     

Gene Cloning of Dihydroxyacetone Reductase from a Methylotrophic Yeast,Hansenula ofunaensis,and its Expression in Escherichia coli HB101 for Production of Optically Active 2‐Pentanol

Optically active alcohols are important building blocks as versatile chiral synthons for asymmetric syntheses of pharmaceuticals and agrochemicals. The aim of this paper is to efficiently prepare chiral 2‐pentanol by means of microorganisms. The gene of dihydroxyacetone reductase (EC 1.1.1.6) from a methylotrophic yeast, Hansenula ofunaensis, was cloned and chiral 2‐pentanol was produced by the recombinant Escherichia coli harboring the gene. The gene encoding the enzyme was cloned from an H. ofunaensis genomic library. In the deduced amino acid sequence of 364 residues, the NAD(H) binding motif and the cysteine residues that correspond to the cysteine ligands in the zinc atom were conserved, as they are in alcohol dehydrogenases from other origins. Dihydroxyacetone reductase was similar to alcohol dehydrogenases of prokaryotes. For the production of chiral compounds, an E. coli HB101 strain was transformed. The H. ofunaensis gene product, dihydroxyacetone reductase, catalyzed the NAD⁺‐dependent oxidation of 2‐pentanol to 2‐pentanone as well as the corresponding reverse reactions, showing specificity towards the secondary alcohol in (R)‐configuration. From 100 mM 2‐pentanone, (R)‐2‐pentanol (98 mM, > 99.9 % enantiometric excess, e.e.) was obtained in a 30‐min reaction with resting cells of the E. coli HB101 strain harboring the expression plasmid, pSG‐HOD1, which possesses the genes of both dihydroxyacetone reductase and glucose dehydrogenase as an NADH reproducing system. The stereospecificity changed during the reduction, depending on the pH. E. coli HB101 was also transformed by the expression plasmid, pSE‐HOD4, in which the gene of glucose dehydrogenase was removed from pSG‐HOD1, and designated as E. coli HB101 (pSE‐HOD4). E. coli HB101 (pSE‐HOD4) oxidized only (R)‐2‐pentanol in 100 mM of the racemate (R:S = 52:48), and the reaction medium was enriched with (S)‐2‐pentanol (48 mM, 98 % e.e.) after 30 min of incubation. The reaction was sufficiently promoted without the other additives. E. coli transformants expressing the gene of this enzyme could be particularly advantageous to the production of optically active 2‐pentanol.     

基于遗传算法的基因表达数据的K-均值聚类分析

聚类算法在基因表达数据的分析处理过程中得到日益广泛的应用。本文通过把K-均值聚类算法引入到遗传算法中,结合基因微阵列的特点,来讨论一种基于遗传算法的K-均值聚类模型,目的是利用遗传算法的全局性来提高聚类算法找到全局最优的可能性,实验结果证明,该算法可以很好地解决某些基因表达数据的聚类分析问题。     

动物营养与基因表达关系研究进展

营养在动物的基因表达中起着重要的作用。在介绍基因表达过程及营养调控途径的基础 上,综述了营养水平与蛋白质、氨基酸、碳水化合物、脂肪与脂肪酸、矿物元素及维生素等营养因 子对相关基因表达的调控作用及主要机制,并对营养基因的调控、环境因子的调控和风味调控的 研究进行了展望。     

A Novel Core‐Attachment–Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks

Cellular functions are always performed by protein complexes. At present, many approaches have been proposed to identify protein complexes from protein–protein interaction (PPI) networks. Some approaches focus on detecting local dense subgraphs in PPI networks which are regarded as protein‐complex cores, then identify protein complexes by including local neighbors. However, from gene expression profiles at different time points or tissues it is known that proteins are dynamic. Therefore, identifying dynamic protein complexes should become very important and meaningful. In this study, a novel core‐attachment–based method named CO‐DPC to detect dynamic protein complexes is presented. First, CO‐DPC selects active proteins according to gene expression profiles and the 3‐sigma principle, and constructs dynamic PPI networks based on the co‐expression principle and PPI networks. Second, CO‐DPC detects local dense subgraphs as the cores of protein complexes and then attach close neighbors of these cores to form protein complexes. In order to evaluate the method, the method and the existing algorithms are applied to yeast PPI networks. The experimental results show that CO‐DPC performs much better than the existing methods. In addition, the identified dynamic protein complexes can match very well and thus become more meaningful for future biological study.     

Multiple Tests for Different Sets of Variables Using a Data‐Driven Ordering of Hypotheses,with an Application to Gene Expression Data

A multiple parametric test procedure is proposed, which considers tests of means of several variables. The single variables or subsets of variables are ordered according to a data‐dependent criterion and tested in this succession without alpha‐adjustment until the first non‐significant test. The test procedure needs the assumption of a multivariate normal distribution and utilizes the theory of spherical distributions. The basic version is particularly suited for variables with approximately equal variances. As a typical example, the procedure is applied to gene expression data from a commercial array.     

鼠源原蛋白转化酶2基因的构建及其表达

目的:蛋白转化酶PC2在神经内分泌肽的成熟过程中起到了非常重要的作用,为了研究鼠肿瘤膜型中pc2基因对乳腺癌生长转移的影响,重组并构建了鼠源pc2基因.方法:提取大鼠脑垂体总RNA,通过RT-PCR方法克隆并扩增了鼠源pc2的cDNA.将pc2基因的cDNA插入pCDNA3.1/Zeo载体构建成pCDNA3.1-pc2重组载体.通过pCDNA3.1-pc2或和它的分子伴侣基因7b2的共表达,pc2基因成功地在乳腺癌4T1细胞株中表达和活化.结论:通过测序、转染、Western blot分析和活性测定等证实pc2被插入载体并在哺乳动物细胞中成功表达.     

乙内酰脲水解酶基因在大肠杆菌中的克隆表达

节杆菌BT801的乙内酰脲酶系能够水解5-苄基乙内酰脲生成L-苯丙氨酸,其中乙内酰脲水解酶负责乙内酰脲的水解开环。乙内酰脲水解酶的表达对于乙内酰脲酶的催化机制研究及氨基酸的生物不对称合成都具有重要意义。通过PCR技术扩增得到乙内酰脲水解酶基因(hyuH),置于表达载体pT221的,17启动子下游,将构建的重组质粒引入大肠杆菌BL21(DE3)。SDS-PAGE分析在相对分子量50kD处有一较强的表达带,经薄层扫描分析目的蛋白占全菌蛋白的40％,主要以可溶性形式存在,活性分析表明表达产物具有天然的酶活性。