Resequencing Microarray Technology for Genotyping Human Papillomavirus in Cervical Smears

There are more than 40 human papillomaviruses (HPVs) belonging to the alpha genus that cause sexually transmitted infections; these infections are among the most frequent and can lead to condylomas and anogenital intra-epithelial neoplasia. At least 18 of these viruses are causative agents of anogenital carcinomas. We evaluated the performance of a resequencing microarray for the detection and genotyping of alpha HPV of clinical significance using cloned HPV DNA. To reduce the number of HPV genotypes tiled on microarray, we used reconstructed ancestral sequences (RASs) as they are more closely related to the various genotypes than the current genotypes are among themselves. The performance of this approach was tested by genotyping with a set of 40 cervical smears already genotyped using the commercial PapilloCheck kit. The results of the two tests were concordant for 70% (28/40) of the samples and compatible for 30% (12/40). Our findings indicate that RASs were able to detect and identify one or several HPV in clinical samples. Associating RASs with homonym sequences improved the genotyping of HPV present in cases of multiple infection. In conclusion, we demonstrate the diagnostic potential of resequencing technology for genotyping of HPV, and illustrate its value both for epidemiological studies and for monitoring the distribution of HPV in the post-vaccination era.     

Development of multiplex DNA electronic microarrays using a universal adaptor system for detection of single nucleotide polymorphisms

The NanoChip electronic microarray is designed for the rapid detection of genetic variation in research and clinical diagnosis. We have developed a multiplex electronic microarray assay, specific for single nucleotide polymorphism (SNP) genotyping and mutation detection, using universal adaptor sequences tailed to the 5' end of PCR primers specific to each target. PCR products, amplified by primers directed to the universal adaptor sequence, are immobilized on the microarray either directly or via capture oligonucleotides complementary to the universal adaptor sequence. This simple modification results in a significant increase in fidelity with improved specificity and accuracy. In addition, the multiplexing of genetic variant detection allows increased throughput and significantly reduced cost per assay. This general schema can also be applied to other microarray and macroarray formats.     

Quality assessment of the Affymetrix U133A&B probesets by target sequence mapping and expression data analysis

Careful analysis of microarray probe design should be an obligatory component of MicroArray Quality Control (MACQ) project [Patterson et al., 2006; Shi et al., 2006] initiated by the FDA (USA) in order to provide quality control tools to researchers of gene expression profiles and to translate the microarray technology from bench to bedside. The identification and filtering of unreliable probesets are important preprocessing steps before analysis of microarray data. These steps may result in an essential improvement in the selection of differentially expressed genes, gene clustering and construction of co-regulatory expression networks. We revised genome localization of the Affymetrix U133A&B GeneChip initial (target) probe sequences, and evaluated the impact of erroneous and poorly annotated target sequences on the quality of gene expression data. We found about 25% of Affymetrix target sequences overlapping with interspersed repeats that could cause cross-hybridization effects. In total, discrepancies in target sequence annotation account for up to approximately 30% of 44692 Affymetrix probesets. We introduce a novel quality control algorithm based on target sequence mapping onto genome and GeneChip expression data analysis. To validate the quality of probesets we used expression data from large, clinically and genetically distinct groups of breast cancers (249 samples). For the first time, we quantitatively evaluated the effect of repeats and other sources of inadequate probe design on the specificity, reliability and discrimination ability of Affymetrix probesets. We propose that only functionally reliable Affymetrix probesets that passed our quality control algorithm (approximately 86%) for gene expression analysis should be utilized. The target sequence annotation and filtering is available upon request.     

应用RT-PCR制备登革病毒诊断基因芯片探针

根据GenBank数据库中的生物信息,利用BLAST免费分析软件找出4种型别登革病毒的保守序列及各型特异性序列,针对上述序列设计引物经RT-PCR扩增登革病毒的特异片段,利用此RT-PCR法收集探针是一种快速、简便制备基因芯片探针的实用方法。     

细小病毒B19 Oligo探针设计

利用BLAST软件对细小病毒B19的序列进行序列比对,获得特异序列;利用生物学软件Oligo6.40设计特异性高、Tm值接近、长度均一的Oligo探针。结果获得了13条70bp的Oligo探针,用于芯片打印及细小病毒B19的检测。表明利用BLAST系统和生物学软件Oligo6.40设计细小病毒B19诊断芯片的探针是一种简便而有效的方法。     

Development of a 37 k high-density oligonucleotide microarray: a new tool for functional genome research in rainbow trout

A rainbow trout high-density oligonucleotide microarray was constructed using all tentative consensus (TC) sequences that are publicly available from all international rainbow trout Oncorhynchus mykiss genomic research projects through the Rainbow Trout Gene Index database. The new array contains 60-mer oligonucleotide probes representing 37 394 unique TC sequences and 1417 control spots. The array (4 × 44 format) was manufactured according to the design by Agilent Technologies using the inkjet-based SurePrint technology (design number 016320). The performance of the new microarray platform was evaluated by analysing gene expression associated with rainbow trout, vitellogenesis-induced muscle atrophy. This microarray will open new avenues of research that will aid in the development of novel strategies for genetic improvement for economically important traits benefiting the salmonid aquaculture industries.     

High-Density Universal 16S rRNA Microarray Analysis Reveals Broader Diversity than Typical Clone Library When Sampling the Environment

Molecular approaches aimed at detection of a broad-range of prokaryotes in the environment routinely rely on classifying heterogeneous 16S rRNA genes amplified by polymerase chain reaction (PCR) using primers with broad specificity. The general method of sampling and categorizing DNA has been to clone then sequence the PCR products. However, the number of clones required to adequately catalog the majority of taxa in a sample is unwieldy. Alternatively, hybridizing target sequences to a universal 16S rRNA gene microarray may provide a more rapid and comprehensive view of prokaryotic community composition. This study investigated the breadth and accuracy of a microarray in detecting diverse 16S rRNA gene sequence types compared to clone-and-sequencing using three environmental samples: urban aerosol, subsurface soil, and subsurface water. PCR products generated from universal 16S rRNA gene-targeted primers were classified by using either the clone-and-sequence method or by hybridization to a novel high-density microarray of 297,851 probes complementary to 842 prokaryotic subfamilies. The three clone libraries comprised 1391 high-quality sequences. Approximately 8% of the clones could not be placed into a known subfamily and were considered novel. The microarray results confirmed the majority of clone-detected subfamilies and additionally demonstrated greater amplicon diversity extending into phyla not observed by the cloning method. Sequences matching operational taxonomic units within the phyla Nitrospira, Planctomycetes, and TM7, which were uniquely detected by the array, were verified with specific primers and subsequent amplicon sequencing. Subfamily richness detected by the array corresponded well with nonparametric richness predictions extrapolated from clone libraries except in the water community where clone-based richness predictions were greatly exceeded. It was concluded that although the microarray is unreliable in identifying novel prokaryotic taxa, it reveals greater diversity in environmental samples than sequencing a typically sized clone library. Furthermore, the microarray allowed samples to be rapidly evaluated with replication, a significant advantage in studies of microbial ecology.     

PRIMEGENS: robust and efficient design of gene-specific probes for microarray analysis

MOTIVATION: DNA microarray is a powerful high-throughput tool for studying gene function and regulatory networks. Due to the problem of potential cross hybridization, using full-length genes for microarray construction is not appropriate in some situations. A bioinformatic tool, PRIMEGENS, has recently been developed for the automatic design of PCR primers using DNA fragments that are specific to individual open reading frames (ORFs). RESULTS: PRIMEGENS first carries out a BLAST search for each target ORF against all other ORFs of the genome to quickly identify possible homologous sequences. Then it performs optimal sequence alignment between the target ORF and each of its homologous ORFs using dynamic programming. PRIMEGENS uses the sequence alignments to select gene- specific fragments, and then feeds the fragments to the Primer3 program to design primer pairs for PCR amplification. PRIMEGENS can be run from the command line on Unix/Linux platforms as a stand-alone package or it can be used from a Web interface. The program runs efficiently, and it takes a few seconds per sequence on a typical workstation. PCR primers specific to individual ORFs from Shewanella oneidensis MR-1 and Deinococcus radiodurans R1 have been designed. The PCR amplification results indicate that this method is very efficient and reliable for designing specific probes for microarray analysis.     

Microarray-based method to evaluate the accuracy of restriction endonucleases HpaII and MspI

A double-strand DNA (ds DNA) microarray was fabricated to analyze the structural perturbations caused by methylation and the different base mismatches in the interaction of the restriction endonucleases HpaII and MspI with DNA. First, a series of synthesized oligonucleotides were arrayed on the aldehyde-coated glass slides. Second, these oligonucleotides were hybridized with target sequences to obtain ds DNA microarray, which includes several types of double strands with the fully methylated, semi-methylated, and unmethylated canonical recognition sequences, semi-methylated and unmethylated base mismatches within the recognition sequences. The cleavage experiments were carried out under normal buffer conditions. The results indicated that MspI could partially cleave methylated and semi-methylated canonical recognition sequences. In contrast, HpaII could not cleave methylated and semi-methylated canonical recognition sequences. HpaII and MspI could both cleave the unmethylated canonical recognition sequence. However, HpaII could partially cleave the sequence containing one GG mismatch and not cleave other base mismatches in the corresponding recognition site. In contrast, MspI could not recognize the base mismatches within the recognition sequence. A good reproducibility was observed in several parallel experiments. The experiment indicates that the microarray technology has great potentials in high-throughput identifying important interactions between protein and DNA.     

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.     

Consensus PCR and microarray for diagnosis of the genus Staphylococcus, species, and methicillin resistance.

We propose the use of DNA microarray for the discrimination of homologous products after a single PCR amplification with consensus primers. The method was applied to Staphylococcus identification. The femA nucleotide sequences, which are phylogenetically conserved among the staphylococci, were first amplified using a consensus primer pair together with the mecA sequence, a molecular marker for methicillin resistance. Products were then identified on a glass array. The microarray contained five selective DNA capture probes for the simultaneous and differential identification of the five most clinically relevant staphylococcal species (S. aureus, S. epidermidis, S. haemolyticus, S. hominis, and S. saprophyticus), while a consensus capture probe could detect all femA sequences, allowing the identification of the genus Staphylococcus. The mecA sequence hybridized to a specific capture probe. The identification was univocal because only a single capture probe had to be present for each sequence to be identified. The hybridization and identification processes were completed in less than 2 h. Current results demonstrate that low-density microarrays are powerful multigenotypic post-PCR analyzers and could compete with conventional bacteria identification.