机械点样DNA微点阵技术及其在基因表达分析上的应用(I)

从芯片制作、芯片杂交、芯片扫读与图像分析、基因表达数据分析等方面,详细介绍了机械点样DNA微点阵技术及其应用于多基因表达分析的基本步骤与原理。     

机械点样DNA微点阵技术及其在基因表达分析上的应用(Ⅱ)

从芯片制作、芯片杂交、芯片扫读与图像分析,基因表达数据分析等方面,详细介绍了机械点样DNA微点阵技术及其应用于多基因表达分析的基本步骤与原理。     

机械点样DNA微点阵技术及其在基因表达分析上的应用(Ⅰ)

从芯片制作、芯片杂交、芯片扫读与图像分析,基因表达数据分析等方面,详细介绍了机械点样DNA微点阵技术及其应用于多基因表达分析的基本步骤与原理。     

烟碱对脑钾、钠和钙通道表达的调节作用

目的:利用基因表达芯片检测反复摄取烟碱对大鼠脑内钾、钠和钙通道基因表达的调节作用.方法:大鼠每天两次皮下注射烟碱(1.2 mg/kg),连续用药两周后取全脑,提取RNA,逆转录合成cDNA,转录合成生物素化RNA,并将其片断化后与芯片杂交,对荧光信号扫描分析.结合RT-PCR方法对芯片分析结果进行验证.结果:反复摄入烟碱,大鼠脑内钾、钠和钙通道的基因表达均发生变化:电压依赖性K 通道中外向整流K 通道和Ca2 激活的K 通道表达下调,而Kv2.3r等电压依赖性K 通道表达上调;电压依赖性Na 通道中β2亚基表达增加,而α和β1亚基基因表达减少;电压依赖性Ca2 通道的β3亚基基因表达增加.结论:反复摄取烟碱诱导脑N受体失敏时,可引起相关钾、钠和钙通道基因表达发生改变.     

cDNA芯片阳性对照的制备及在芯片敏感性分析中的应用

cDNA芯片是一种高通量基因表达谱分析技术,在生理病理条件下细胞基因表达谱分析,新基因发现和功能研究等方面具有广阔应用前景。CDNA芯片阳性对照的选取以及CDNA芯片检测敏感性是芯片成功应用的关键问题之一。以在系统发育上与人类基因同源性小的荧火虫荧光素酶基因材料,制备了用于人类和其他动物基因表达谱CDNA芯片的通用型阳性对照探针和相应的mRNA参照物,经反转录对mRNA参照物进行Cy3荧光标记并与DNA芯片杂交后发现,mRNA参照物能特异性地与荧光酶基因cDNA片断杂交,而与人β-肌动蛋白基因,人G3PDH基因以及λDNA/HINDⅢ无杂交反应。把mRNA参照物以不同比例加入HepG2总RNA中,以反转录荧光标记后与CDNA芯片杂交,结果发现当总RNA中的MRNA含量为1/10^4稀释（即mRNA分子个数约为10^8个）时,CDNA芯片基本检测不出mRNA标记产物的杂交信号。而且,cDNA芯片检测的信号强度与芯片上固定的探针浓度密切相关,当探针浓度为2g/L时,杂交信号最强,随着探针浓度下降芯片的杂交信号趋于减弱。CDNA芯片通用型阳性参照物的制备以及应用于CDNA芯片检测敏感性研究为CDNA芯片应用于人和其他动物基因表达谱高通量分析和新基因功能研究提供了技术基础和理论依据。     

转录因子XBP1S基因表达谱差异分析

目的 应用基因表达谱芯片技术了解XBP1S在肝细胞中可能上调或下调的基因,了解其可能的调节功能线索.方法 构建pcDNA3.1（-）-XBP1S真核表达载体,转染HepG2细胞,同时以空载体pcDNA3.1（-）处理相同细胞系作为对照.48 h后制备细胞裂解液,提取mRNA,应用基因表达谱芯片技术对差异表达mRNA进行检测和分析.结果 构建的表达载体经过限制性内切酶分析和DNA序列测定,证实准确无误,提取高质量的总mRNA并进行逆转录成为cDNA,进行基因表达谱芯片技术分析.经过差异基因表达谱的筛选,发现HepG2细胞转染XBP1S以后,有38个基因表达水平显著上调,30个基因表达水平显著下调.结论 成功构建XBP1S的真核表达载体pcDNA3.1（-）-XBP1S,运用基因表达谱芯片技术成功筛选了XBP1S转染细胞后的差异表达基因,这些差异表达基因包括细胞周期、蛋白质的翻译合成及运输、能量代谢、体内免疫调节、细胞凋亡及细胞内的信号转导等方面起重要作用及肿瘤发生相关的基因,为进一步阐明XBP1S可能存在的调控机制及XBP1S蛋白可能的生物学功能提供理论依据.     

氦氧饱和高气压暴露对铜绿假单胞菌PAO1基因表达的诱导调节

研究氦氧饱和高气压暴露对铜绿假单胞菌基因表达谱的系统影响,对急性毒力基因表达的调节。用全基因组DNA芯片分析技术比较菌株暴露前后基因表达谱差异;RT-PCR方法验证部分差异表达基因;用分光光度法在细胞水平验证弹性蛋白酶含量;小鼠染毒法观察暴露组细菌毒力在整体动物水平的变化。基因表达谱分析结果表明,铜绿假单胞菌暴露12 h差异表达基因达243个、72 h差异表达基因为1 168个。72 h差异表达基因中与细菌应激响应、蛋白折叠、转录调节、菌毛和鞭毛合成、毒力因子调节与合成、细菌外膜蛋白和抗原合成的基因大量上调;部分基因的RT-PCR验证结果与芯片结果一致;细胞水平验证结果显示暴露72 h细菌毒力表型增强。因此,氦氧饱和高气压暴露对铜绿假单胞菌基因表达谱有明显影响,对急性侵袭性感染毒力因子基因表达水平有正向诱导调节作用。     

猪链球菌2型强毒株05ZYH33转录调控因子Rgg基因敲除突变体与野生株的基因表达差异分析

目的:为了解猪链球菌2型强毒株05Z33转录调控因子Rgg的调控作用,用基因芯片方法分析野生株与rgg基因敲除突变体之间的差异表达基因。方法:用猪链球菌2型全基因组序列点样制备芯片,将芯片运用于rgg敲除株与野生株的基因表达差异研究,采用定量real-time PCR(qRT-PCR)验证表达谱结果。结果:在突变体中共发现45个基因表达量变化在2倍以上,其中19个基因表达上调,26个基因表达下调。这些基因在细菌毒力、免疫抗原、DNA合成和修复、基础代谢和ABC转运系统等方面起着重要作用。结论:转录调控因子Rgg是一个全局调控因子,但rgg敲除后并不影响猪链球菌的毒力。     

Tropic1808基因作用于PC12细胞的表达谱芯片分析

为探讨tropic1808基因作用的分子机制,采用高密度寡核苷酸芯片(Affymetrix芯片)对表达tropic1808基因和空载体的PC12细胞株进行转录水平分析.基于获得的基因表达信息,对UCSC、TRANSFAC、NCBI等公共数据库进行检索,观察表达tropic1808基因导致PC12细胞株的基因表达谱变化.在检测的15866个目标基因中,855个基因表达上调,80个有显著比较意义,涉及包括粘附因子、离子通道、信号转导、细胞代谢等基因成员.其中包括多个细胞粘附因子及与细胞分化、神经发生和突触发生的有关基因.推测Tropic1808基因过表达可诱导PC12细胞株中粘附因子基因水平上调及与细胞分化、神经发生和突触发生相关的基因表达上调.     

DNA芯片的制作原理及其应用

综述了DNA芯片制作原理和杂交信号检测方法及发展趋势,对DNA芯片在研究基因结构和基因表达等方面的应用进行了分析。     

基因芯片与植物基因差异表达分析

基因芯片为研究植物不同个体或物种之间以及同一个体在不同生长发育阶段、正常和疾病状态下基因表达的差异、某一性状多基因的协同作用,寻找和定位新的目的基因等方面带来了革命性的变革。与传统研究基因差异表达的方法相比,它具有微型化、用材少、快速、准确、灵敏度能高基、在因同等一研究方面已取得了显著的成绩,如拟南芥、酵母、水稻等。     

Estimation of relative allele frequencies of single-nucleotide polymorphisms in different populations by microarray hybridization of pooled DNA

Single-nucleotide polymorphisms (SNPs) are considered useful polymorphic markers for genetic studies of polygenic traits. A new practical approach to high-throughput genotyping of SNPs in a large number of individuals is needed in association study and other studies on relationships between genes and diseases. We have developed an accurate and high-throughput method for determining the allele frequencies by pooling the DNA samples and applying a DNA microarray hybridization analysis. In this method, the combination of the microarray, DNA pooling, probe pair hybridization, and fluorescent ratio analysis solves the dual problems of parallel multiple sample analysis, and parallel multiplex SNP genotyping for association study. Multiple DNA samples are immobilized on a slide and a single hybridization is performed with a pool of allele-specific oligonucleotide probes. The results of this study show that hybridization of microarray from pooled DNA samples can accurately obtain estimates of absolute allele frequencies in a sample pool. This method can also be used to identify differences in allele frequencies in distinct populations. It is amenable to automation and is suitable for immediate utilization for high-throughput genotyping of SNP.     

乳酸菌基因芯片应用研究进展

基因芯片技术是上世纪90年代兴起的一种对成百上千甚至上万个基因同时进行检测的新技术,具有高通量、并行化的特点,广泛应用于基因表达谱测定、基因功能预测、基因突变检测和多态性分析等方面。多种乳酸菌基因组全序列以及其大量EST、16S rDNA、16S-23S基因间区和功能基因序列测定的完成,有力地推动了基因芯片技术在乳酸菌研究中的应用。介绍了基因芯片的基本原理及乳酸菌基因芯片在基因表达、种属鉴定等研究中的应用进展,以期更好地利用和开发乳酸菌基因芯片。     

表达谱基因芯片

表达谱基因芯片具有高通量、缩微、多参数、平行化等优点.在功能基因组学研究中正发挥越来越重要的作用.就其原理、应用、存在问题及解决策略等进行了综述.     

Detection of bacterial pathogens in municipal wastewater using an oligonucleotide microarray and real-time quantitative PCR

As a first step toward building a comprehensive microarray, two low density DNA microarrays were constructed and evaluated for the accurate detection of wastewater pathogens. The first one involved the direct hybridization of wastewater microbial genomic DNA to the functional gene probes while the second involved PCR amplification of 23S ribosomal DNA. The genomic DNA microarray employed 10 functional genes as detection targets. Sensitivity of the microarray was determined to be approximately 1.0 microg of Esherichia coli genomic DNA, or 2 x 10(8) copies of the target gene, and only E. coli DNA was detected with the microarray assay using municipal raw sewage. Sensitivity of the microarray was enhanced approximately by 6 orders of magnitude when the target 23S rRNA gene sequences were PCR amplified with a novel universal primer set and allowed hybridization to 24 species-specific oligonucleotide probes. The minimum detection limit was estimated to be about 100 fg of E. coli genomic DNA or 1.4 x 10(2) copies of the 23S rRNA gene. The PCR amplified DNA microarray successfully detected multiple bacterial pathogens in wastewater. As a parallel study to verify efficiency of the DNA microarray, a real-time quantitative PCR assay was also developed based on the fluorescent TaqMan probes (Applied Biosystems).     

Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

Background  

The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes with similar functions usually co-express under certain conditions only [1]. Thus, biclustering which clusters genes and conditions simultaneously is preferred over the traditional clustering technique in discovering these coherent genes. Various biclustering algorithms have been developed using different bicluster formulations. Unfortunately, many useful formulations result in NP-complete problems. In this article, we investigate an efficient method for identifying a popular type of biclusters called additive model. Furthermore, parallel coordinate (PC) plots are used for bicluster visualization and analysis.     

Applications of DNA and protein microarrays in comparative physiology

DNA microarrays have revolutionized gene expression studies and made large-scale parallel measurement of whole genome expression a feasible technique in model species where genomes are well characterized. Such studies are perfectly suited to unraveling the complex regulation and/or interaction of both genes and proteins likely involved in most physiological processes. Gene expression profiles are currently being used to identify genes underlying a range of physiological responses. Characterization of these genes will help to elucidate the pathways and processes regulating physiological processes. Expanding the use of DNA microarrays to non-model species that have been critical in elucidating certain physiological pathways will be valuable in determining the genes associated with these processes. Approaches that do not require complete genome information have recently been applied to "non-model" organisms. As whole genomes are sequenced for non-model organisms, the application of DNA microarrays to comparative physiology will expand even further. The recent development of protein microarrays will be critical in understanding the regulation of physiological processes not accounted for at the genomic level. Together, DNA and protein microarrays provide the most thorough and efficient method of understanding the molecular basis of physiological processes to date. In turn, classical physiological approaches will be vital in characterizing and verifying the function of the novel genes identified by microarray experiments. Ultimately, DNA and protein microarray expression profiles may be used to predict physiological responses.