PCR 芯片及其应用研究进展

PCR芯片实质上就是固定有与研究对象有关的许多已知基因的引物阵列并可用于PCR检测的固相载体,其制作时最关键的是目的基因的引物设计。与基于杂交的芯片技术不同,PCR芯片技术是一种高通量的,准确、灵敏的定量检测基因表达的技术,它将待测基因的引物固定于固相载体上,通过简单的、经过优化的定量PCR体系和荧光定量PCR仪,实现待检样品中已知基因的扩增,用于定量检测待检样品中已知基因的表达情况。PCR芯片由于其操作简单、结果准确、数据产出快而多等特点,已应用于疾病发病机制、药物作用机理和细菌分型等研究领域,并将在生命科学研究领域得到更为广泛的应用。     

SuperSAGE array: the direct use of 26-base-pair transcript tags in oligonucleotide arrays

We developed a new platform for genome-wide gene expression analysis in any eukaryotic organism, which we called SuperSAGE array. The SuperSAGE array is a microarray onto which 26-bp oligonucleotides corresponding to SuperSAGE tag sequences are directly synthesized. A SuperSAGE array combines the advantages of the highly quantitative SuperSAGE expression analysis with the high-throughput microarray technology. We demonstrated highly reproducible gene expression profiling by the SuperSAGE array for 1,000 genes (tags) in rice. We also applied this technology to the detailed study of expressed genes identified by SuperSAGE in Nicotiana benthamiana, an organism for which sufficient genome sequence information is not available. We propose that the SuperSAGE array system represents a new paradigm for microarray construction, as no genomic or cDNA sequence data are required for its preparation.     

基因芯片技术检测细菌耐药性的研究进展

基因芯片技术是将无数预先设计好的寡核苷酸、cDNA、基因组 (Genomic)DNA在芯片上做成点阵 ,与样品中同源核酸分子杂交 ,对样品的序列信息进行高效的解读和分析 ,大规模获取相关生物信息。该技术应用领域主要有表达谱分析、基因突变及多态性分析、疾病诊断和预测、DNA测序、药物筛选、检测筛选耐药基因、微生物菌种鉴定及致病机制研究等。着重介绍了基因芯片技术检测细菌耐药性方面的国外研究进展。基因芯片可以大量、快捷地检测出细菌耐药性菌株以及引起细菌耐药性的基因的突变 ,由于其在检测中的高效率 ,因此要优越于传统的细菌学检测技术。基因芯片技术在细菌耐药性检测中有着巨大的应用价值 ,具有广阔的应用前景。     

Expression profiling by oligonucleotide microarrays spotted on coated polymer slides

We have developed a ready-to-spot polymer microarray slide, which is coated with a uniform layer of reactive electrophilic groups using anthraquinone-mediated photo-coupling chemistry. The slide coating reduces the hydrophobicity of the native polymer significantly, thereby enabling robust and efficient one-step coupling of spotted 5' amino-linked oligonucleotides onto the polymer slide. The utility of the coated polymer slide in gene expression profiling was assessed by fabrication of spotted oligonucleotide microarrays using a collection of 5' amino-linked 70-mer oligonucleotide probes representing 96 yeast genes from Operon. Two-colour hybridizations with labelled cDNA target pools derived from standard grown and heat-shocked wild type yeast cells could reproducibly measure heat shock induced expression of seven different heat shock protein (HSP) genes. Moreover, the observed fold changes were comparable to those reported previously using spotted cDNA arrays and high-density 25-mer oligonucleotide arrays from Affymetrix. The low hybridization signals obtained from the DeltaSSA4 mutant cDNA target, together with the high signal detected in two-colour hybridizations with heat-shocked wild type yeast relative to the DeltaSSA4 mutant strain implies that unspecific binding of cDNA target to the SSA4-specific 70-mer oligonucleotide probes is negligible. Combined, our results indicate that the coated polymer microarray slide represents a robust and cost-effective array platform for pre-spotted oligonucleotide arrays.     

cDNA array technology in melanoma: an overview

Genetic aberrations, mostly resulting in changes in gene expression, are critical events in cancer onset and progression. The advent of the cDNA array technology allows the screening and the efficient measurement of expression of thousands genes simultaneously in a wide spectrum of experimental and clinical models. This genomic scale approach is being currently used to obtain global views of human cancer gene expression and to identify genetic markers that might be important for diagnosis, prognosis, and therapy. This review discusses some recent findings obtained by means of cDNA arrays investigating the human melanoma.     

M<Superscript>3</Superscript>G: Maximum Margin Microarray Gridding

Background  

Complementary DNA (cDNA) microarrays are a well established technology for studying gene expression. A microarray image is obtained by laser scanning a hybridized cDNA microarray, which consists of thousands of spots representing chains of cDNA sequences, arranged in a two-dimensional array. The separation of the spots into distinct cells is widely known as microarray image gridding.     

大鼠成长期左心室基因表达谱的变化

为观察大鼠发育成熟过程中心脏生长与其基因表达谱变化的关系 ,应用超声心动术检测 8、10、12周龄Wistar大鼠的心脏结构和功能指标 ,应用cDNA基因芯片技术观察心脏基因表达水平的变化。大鼠从 8周龄生长至12周龄 ,体重增加约 45 7% ( 2 87± 13 gvs 197± 10g) ,前 2周和后 2周增加幅度相近。心脏左心室重量和室壁厚度分别增加约 2 7 7% ( 0 60± 0 0 3 gvs 0 47± 0 0 2 g)和 2 3 6% ( 2 0 4± 0 0 4mmvs 1 65± 0 13mm) ,前 2周增加幅度明显大于后 2周。基因表达谱的改变涉及细胞结构、代谢、氧化应激及信号转导等多方面的基因。 10周龄和 8周龄大鼠比较 ,变化的基因多数上调 ;12周龄和 10周龄大鼠比较 ,基因表达谱基本又返转至 8周龄水平。结果表明 ,大鼠在成长期的 4周内 ( 8- 12周龄 ) ,左心室基因表达谱发生的变化适应生理性心肌生长需要     

Toward a molecular classification of the gliomas: histopathology, molecular genetics, and gene expression profiling

As many as 100,000 new cases of brain tumor are diagnosed each year in the United States. About half of these are primary gliomas and the remaining half are metastatic tumors and non-glial primary tumors. Currently, gliomas are classified based on phenotypic characteristics. Recent progress in the elucidation of genetic alterations found in gliomas have raised the exciting possibility of using genetic and molecular analyses to resolve some of the problematic issues currently associated with the histological approach to glioma classification. Recently, immunohistochemical studies using novel proliferation markers have significantly advanced the assessment of tumor growth potential and the grading criteria of some tumor subtypes. Preliminary studies using cDNA array technologies suggest that the profiling of gene expression patterns may provide a novel and meaningful approach to glioma classification and subclassification. Furthermore, cDNA array technologies may also be used to identify candidate genes involved in glioma tumor development, invasion, and progression. This review summarizes current glioma classification schemes that are based on histopathological characteristics and discusses the potential for using cDNA array technology in the molecular classification of gliomas.     

Functional analysis and comparative genomics of expressed sequence tags from the lycophyte Selaginella moellendorffii

Background

DNA microarrays are widely used in gene expression analyses. To increase throughput and minimize costs without reducing gene expression data obtained, we investigated whether four mRNA samples can be analyzed simultaneously by applying four different fluorescent dyes.

Results

Following tests for cross-talk of fluorescence signals, Alexa 488, Alexa 594, Cyanine 3 and Cyanine 5 were selected for hybridizations. For self-hybridizations, a single RNA sample was labelled with all dyes and hybridized on commercial cDNA arrays or on in-house spotted oligonucleotide arrays. Correlation coefficients for all combinations of dyes were above 0.9 on the cDNA array. On the oligonucleotide array they were above 0.8, except combinations with Alexa 488, which were approximately 0.5. Standard deviation of expression differences for replicate spots were similar on the cDNA array for all dye combinations, but on the oligonucleotide array combinations with Alexa 488 showed a higher variation.

Conclusion

In conclusion, the four dyes can be used simultaneously for gene expression experiments on the tested cDNA array, but only three dyes can be used on the tested oligonucleotide array. This was confirmed by hybridizations of control with test samples, as all combinations returned similar numbers of differentially expressed genes with comparable effects on gene expression.     

Using DNA microarrays to study gene expression in closely related species

MOTIVATION: Comparisons of gene expression levels within and between species have become a central tool in the study of the genetic basis for phenotypic variation, as well as in the study of the evolution of gene regulation. DNA microarrays are a key technology that enables these studies. Currently, however, microarrays are only available for a small number of species. Thus, in order to study gene expression levels in species for which microarrays are not available, researchers face three sets of choices: (i) use a microarray designed for another species, but only compare gene expression levels within species, (ii) construct a new microarray for every species whose gene expression profiles will be compared or (iii) build a multi-species microarray with probes from each species of interest. Here, we use data collected using a multi-primate cDNA array to evaluate the reliability of each approach. RESULTS: We find that, for inter-species comparisons, estimates of expression differences based on multi-species microarrays are more accurate than those based on multiple species-specific arrays. We also demonstrate that within-species expression differences can be estimated using a microarray for a closely related species, without discernible loss of information. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

ADGO: analysis of differentially expressed gene sets using composite GO annotation

MOTIVATION: Genes are typically expressed in modular manners in biological processes. Recent studies reflect such features in analyzing gene expression patterns by directly scoring gene sets. Gene annotations have been used to define the gene sets, which have served to reveal specific biological themes from expression data. However, current annotations have limited analytical power, because they are classified by single categories providing only unary information for the gene sets. RESULTS: Here we propose a method for discovering composite biological themes from expression data. We intersected two annotated gene sets from different categories of Gene Ontology (GO). We then scored the expression changes of all the single and intersected sets. In this way, we were able to uncover, for example, a gene set with the molecular function F and the cellular component C that showed significant expression change, while the changes in individual gene sets were not significant. We provided an exemplary analysis for HIV-1 immune response. In addition, we tested the method on 20 public datasets where we found many 'filtered' composite terms the number of which reached approximately 34% (a strong criterion, 5% significance) of the number of significant unary terms on average. By using composite annotation, we can derive new and improved information about disease and biological processes from expression data. AVAILABILITY: We provide a web application (ADGO: http://array.kobic.re.kr/ADGO) for the analysis of differentially expressed gene sets with composite GO annotations. The user can analyze Affymetrix and dual channel array (spotted cDNA and spotted oligo microarray) data for four species: human, mouse, rat and yeast. CONTACT: chu@kribb.re.kr SUPPLEMENTARY INFORMATION: http://array.kobic.re.kr/ADGO.     

Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis

BACKGROUND: Cystic fibrosis (CF) is the most common lethal recessive disease affecting children in the U.S. and Europe. For this reason, a number of ongoing attempts are being made to treat the disease either by gene therapy or pharmacotherapy. Several phase 1 gene therapy trials have been completed, and a phase 2 clinical trial with the xanthine drug CPX is in progress. The protein coded by the principal CFTR mutation, DeltaF508-CFTR, fails to traffic efficiently from the endoplasmic reticulum to the plasma membrane, and is the pathogenic basis for the missing cAMP-activated plasma membrane chloride channel. CPX acts by binding to the mutant DeltaF508-CFTR and correcting the trafficking deficit. CPX also activates mutant CFTR channels. The comparative genomics of wild-type and mutant CFTR has not previously been studied. However, we have hypothesized that the gene expression patterns of human cells expressing mutant or wild-type CFTR might differ, and that a drug such as CPX might convert the mutant gene expression pattern into one more characteristic of wild-type CFTR. To the extent that this is true, a pharmacogenomic profile for such corrective drugs might be deduced that could simplify the process of drug discovery for CF. MATERIALS AND METHODS: To test this hypothesis we used cDNA microarrays to study global gene expression in human cells permanently transfected with either wild-type or mutant CFTR. We also tested the effects of CPX on global gene expression when incubated with cells expressing either mutant or wild-type CFTR. RESULTS: Wild-type and mutant DeltaF508-CFTR induce distinct and differential changes in cDNA microarrays, significantly affecting up to 5% of the total genes in the array. CPX also induces substantial mutation-dependent and -independent changes in gene expression. Some of these changes involve movement of gene expression in mutant cells in a direction resembling expression in wild-type cells. CONCLUSIONS: These data clearly demonstrate that cDNA array analysis of cystic fibrosis cells can yield useful pharmacogenomic information with significant relevance to both gene and pharmacological therapy. We suggest that this approach may provide a paradigm for genome-based surrogate endpoint testing of CF therapeutics prior to human administration.