GeneCruiser: a web service for the annotation of microarray data

SUMMARY: GeneCruiser is a web service allowing users to annotate their genomic data by mapping microarray feature identifiers to gene identifiers from databases, such as UniGene, while providing links to web resources, such as the UCSC Genome Browser. It relies on a regularly updated database that retrieves and indexes the mappings between microarray probes and genomic databases. Genes are identified using the Life Sciences Identifier standard. AVAILABILITY: GeneCruiser is freely available in the following forms: Web service and Web application, http://www.genecruiser.org; GenePattern, GeneCruiser access has been integrated into our microarray analysis platform, GenePattern. http://www.genepattern.org.     

禽流感病毒分型基因芯片的研制

[目的]禽流感病毒是一种全球重要的人和动物呼吸道病病原,快速确定其不同亚型对于全球流感监测具有重要的意义.本研究意在研制一种可同时鉴定禽流感病毒所有亚型的方法.[方法]根据GenBank上已发表的禽流感病毒不同亚型(16个HA亚型和9个NA亚型)的基因序列,设计合成了25对特异性引物和1对通用引物,然后以各亚型病毒的参考株RNA作为模板,建立扩增不同亚型的多重RT-PCR方法.参考各亚型病毒靶cDNAs区域的保守序列设计了52条亚型特异的探针,进而利用扩增的各亚型病毒的靶cDNAs对其特异性进行评价.在此基础上,将设计好的探针点制到处理好的玻片上,制备了禽流感病毒分型鉴定基因芯片,结合所建立的扩增不同亚型的多重RT-PCR方法,开发了禽流感病毒亚型鉴定基因芯片试剂.利用收集自49个地区的2653份标本对其特异性和敏感性进行了初步评价.[结果]用于评价的各亚型参考毒株均出现良好的特异性杂交信号,检测的敏感度可达2.47 PFU/mL或2.5 ng靶DNA片段,而且与禽类常见的IBV、NDV等6种病毒均无交叉反应.[结论]证明该病毒分型基因芯片具有良好的特异性、敏感性.     

烟草细胞色素P450的基因组学分析

细胞色素P450是一类含血红素的单加氧酶超基因家族, 在植物多种代谢途径中起着重要作用。为了解烟草中的P450的种类和数量, 文章将植物代表性P450蛋白质序列与烟草基因组序列比对, 在烟草基因组中鉴定了44个P450家族共263个成员。将这些烟草P450基因与烟草表达序列标签(EST)比对, 发现173个成员有EST证据。通过与拟南芥中已知的P450蛋白序列比较, 分析了部分烟草P450蛋白序列的特征和二级结构。根据烟草基因芯片数据和部分基因的RT-PCR结果, 发现73个烟草P450基因能够在不同的生长发育时期表达, 其中部分基因具有组织特异性。这些研究结果为烟草P450基因功能的深入分析奠定了基础。     

An XML message broker framework for exchange and integration of microarray data

MOTIVATION: Microarrays are an important research tool for the advancement of basic biological sciences. However this technology has yet to be integrated with clinical decision making. We have implemented an information framework based on the Microarray Gene Expression Markup Language (MAGE-ML) specification. We are using this framework to develop a test-bed integrated database application to identify genomic and imaging markers for diagnosis of breast cancer. RESULTS: We developed extensible software architecture for retrieving data from different microarray databases using MAGE-ML and for combining microarray data with breast cancer image analysis and clinical data for correlation studies. The framework we developed will provide the necessary data integration to move microarray research from basic biological sciences to clinical applications. AVAILABILITY: Open source software will be available from SourceForge (http://sourceforge.net/projects/microsoap/).     

Simultaneous detection of major enteric viruses using a combimatrix microarray

Various enteric viruses including norovirus, rotavirus, adenovirus, and astrovirus are the major etiological agents of food-borne and water-borne disease outbreaks and frequently cause non-bacterial gastroenteritis worldwide. Sensitive and high-throughput detection methods for these viral pathogens are compulsory for diagnosing viral pathogens and subsequently improving public health. Hence, we developed a sensitive, specific, and high-throughput analytical assay to detect most major enteric viral pathogens using “Combimatrix” platform oligonucleotide probes. In order to detect four different enteric viral pathogens in a sensitive and simultaneous manner, we first developed a multiplex RT-PCR assay targeting partial gene sequences of these viruses with fluorescent labeling for the subsequent microarray. Then, five olignonucleotides specific to each of the four major enteric viruses were selected for the microarray from the oligonulceotide pools targeting the specific genes obtained by multiplex PCR of these viruses. The oligonucleotide microarray was evaluated against stool specimens containing single or mixed viral species. As a result, we demonstrated that the multiplex RT-PCR assay specifically amplified partial sequences of four enteric viruses and the subsequent microarray assay was capable of sensitive and simultaneous detection of those viruses. The developed method could be useful for diagnosing enteric viruses in both clinical and environmental specimens.     

Microarray detection of food-borne pathogens using specific probes prepared by comparative genomics

In order to design a method for the accurate detection and identification of food-borne pathogens, we used comparative genomics to select 70-mer oligonucleotide probes specific for 11 major food-borne pathogens (10 overlapping probes per pathogen) for use in microarray analysis. We analyzed the hybridization pattern of this constructed microarray with the Cy3-labeled genomic DNA of various food-borne pathogens and other bacteria. Our microarray showed a highly specific hybridization pattern with the genomic DNA of each food-borne pathogen; little unexpected cross-hybridization was observed. Microarray data were analyzed and clustered using the GenePix Pro 6.0 and GeneSpring GX 7.3.1 programs. The analyzed dendrogram revealed the discriminating power of constructed microarray. Each food-borne pathogen clustered according to its hybridization specificity and non-pathogenic species were discriminated from pathogenic species. Our method can be applied to the rapid and accurate detection and identification of food-borne pathogens in the food industry. In addition, this study demonstrates that genome sequence comparison and DNA microarray analysis have a powerful application in epidemiologic and taxonomic studies, as well as in the food safety and biodefense fields.     

Efficient selection of unique and popular oligos for large EST databases

MOTIVATION: Expressed sequence tag (EST) databases have grown exponentially in recent years and now represent the largest collection of genetic sequences. An important application of these databases is that they contain information useful for the design of gene-specific oligonucleotides (or simply, oligos) that can be used in PCR primer design, microarray experiments and genomic library screening. RESULTS: In this paper, we study two complementary problems concerning the selection of short oligos, e.g. 20-50 bases, from a large database of tens of thousands of ESTs: (i) selection of oligos each of which appears (exactly) in one unigene but does not appear (exactly or approximately) in any other unigene and (ii) selection of oligos that appear (exactly or approximately) in many unigenes. The first problem is called the unique oligo problem and has applications in PCR primer and microarray probe designs, and library screening for gene-rich clones. The second is called the popular oligo problem and is also useful in screening genomic libraries. We present an efficient algorithm to identify all unique oligos in the unigenes and an efficient heuristic algorithm to enumerate the most popular oligos. By taking into account the distribution of the frequencies of the words in the unigene database, the algorithms have been engineered carefully to achieve remarkable running times on regular PCs. Each of the algorithms takes only a couple of hours (on a 1.2 GHz CPU, 1 GB RAM machine) to run on a dataset 28 Mb of barley unigenes from the HarvEST database. We present simulation results on the synthetic data and a preliminary analysis of the barley unigene database. AVAILABILITY: Available on request from the authors.     

BmuG@Sbase--a microarray database and analysis tool

The manufacture and use of a whole-genome microarray is a complex process and it is essential that all data surrounding the process is stored, is accessible and can be easily associated with the data generated following hybridization and scanning. As part of a program funded by the Wellcome Trust, the Bacterial Microarray Group at St. George's Hospital Medical School (BmuG@S) will generate whole-genome microarrays for 12 bacterial pathogens for use in collaboration with specialist research groups. BmuG@S will collaborate with these groups at all levels, including the experimental design, methodology and analysis. In addition, we will provide informatic support in the form of a database system (BmuG@Sbase). BmuG@Sbase will provide access through a web interface to the microarray design data and will allow individual users to store their data in a searchable, secure manner. Tools developed by BmuG@S in collaboration with specific research groups investigating analysis methodology will also be made available to those groups using the arrays and submitting data to BmuG@Sbase.     

WAMIDEX: A web atlas of murine genomic imprinting and differential expression

The mouse is an established model organism for the study of genomic imprinting. Mice with genetic material originating from only one parent (e.g., mice with uniparental chromosomal duplications) or gene mutations leading to epigenetic deficiencies have proven to be particularly useful tools. In the process of our studies we have accumulated a large set of expression microarray measurements in samples derived from these types of mice. Here, we present the collation of these and third-party microarray data that are relevant to genomic imprinting into a Web Atlas of Murine genomic Imprinting and Differential EXpression (WAMIDEX: https://atlas.genetics.kcl.ac.uk). WAMIDEX integrates the most comprehensive literature-derived catalog of murine imprinted genes to date with a genome browser that makes the microarray data immediately accessible in annotation-rich genomic context. In addition, WAMIDEX exemplifies the use of the self-organizing map method for the discovery of novel imprinted genes from microarray data. The parent-of-origin-specific expression of imprinted genes is frequently limited to specific tissues or developmental stages, a fact that the atlas reflects in its design and data content.     

A comprehensive approach for establishment of the platform to analyze functions of KIAA proteins II: public release of inaugural version of InGaP database containing gene/protein expression profiles for 127 mouse KIAA genes/proteins.

The inaugural version of the InGaP database (Integrative Gene and Protein expression database; http://www.kazusa.or.jp/ingap/index.html) is a comprehensive database of gene/protein expression profiles of 127 mKIAA genes/proteins related to hypothetical ones obtained in our ongoing cDNA project. Information about each gene/protein consists of cDNA microarray analysis, subcellular localization of the ectopically expressed gene, and experimental data using anti-mKIAA antibody such as Western blotting and immunohistochemical analyses. KIAA cDNAs and their mouse counterparts, mKIAA cDNAs, were mainly isolated from cDNA libraries derived from brain tissues, thus we expect our database to contribute to the field of neuroscience. In fact, cDNA microarray analysis revealed that nearly half of our gene collection is predominantly expressed in brain tissues. Immunohistochemical analysis of the mouse brain provides functional insight into the specific area and/or cell type of the brain. This database will be a resource for the neuroscience community by seamlessly integrating the genomic and proteomic information about the mouse KIAA genes/proteins.     

Molecular Genetics Information System (MOLGENIS): alternatives in developing local experimental genomics databases

MOTIVATION: Genomic research laboratories need adequate infrastructure to support management of their data production and research workflow. But what makes infrastructure adequate? A lack of appropriate criteria makes any decision on buying or developing a system difficult. Here, we report on the decision process for the case of a molecular genetics group establishing a microarray laboratory. RESULTS: Five typical requirements for experimental genomics database systems were identified: (i) evolution ability to keep up with the fast developing genomics field; (ii) a suitable data model to deal with local diversity; (iii) suitable storage of data files in the system; (iv) easy exchange with other software; and (v) low maintenance costs. The computer scientists and the researchers of the local microarray laboratory considered alternative solutions for these five requirements and chose the following options: (i) use of automatic code generation; (ii) a customized data model based on standards; (iii) storage of datasets as black boxes instead of decomposing them in database tables; (iv) loosely linking to other programs for improved flexibility; and (v) a low-maintenance web-based user interface. Our team evaluated existing microarray databases and then decided to build a new system, Molecular Genetics Information System (MOLGENIS), implemented using code generation in a period of three months. This case can provide valuable insights and lessons to both software developers and a user community embarking on large-scale genomic projects. AVAILABILITY: http://www.molgenis.nl     

Multipathogen oligonucleotide microarray for environmental and biodefense applications

Food-borne pathogens are a major health problem. The large and diverse number of microbial pathogens and their virulence factors has fueled interest in technologies capable of detecting multiple pathogens and multiple virulence factors simultaneously. Some of these pathogens and their toxins have potential use as bioweapons. DNA microarray technology allows the simultaneous analysis of thousands of sequences of DNA in a relatively short time, making it appropriate for biodefense and for public health uses. This paper describes methods for using DNA microarrays to detect and analyze microbial pathogens. The FDA-1 microarray was developed for the simultaneous detection of several food-borne pathogens and their virulence factors including Listeria spp., Campylobacter spp., Staphylococcus aureus enterotoxin genes and Clostridium perfringens toxin genes. Three elements were incorporated to increase confidence in the microarray detection system: redundancy of genes, redundancy of oligonucleotide probes (oligoprobes) for a specific gene, and quality control oligoprobes to monitor array spotting and target DNA hybridization. These elements enhance the reliability of detection and reduce the chance of erroneous results due to the genetic variability of microbes or technical problems with the microarray. The results presented demonstrate the potential of oligonucleotide microarrays for detection of environmental and biodefense relevant microbial pathogens.     

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).