Bisulfite-modified target DNA array for aberrant methylation analysis

Aberrant DNA methylation of CpG islands is among the earliest and most frequent alterations in cancer. It is of great importance to develop simple and high-throughput methods of methylation analysis for earlier cancer diagnosis or the detection of recurrence. In this study, bisulfite-modified target DNA arrays were prepared on positively charged nylon membrane with two different procedures: fixing PCR products and fixing genomic DNA. First, a bisulfite PCR product array was prepared through fixing PCR products amplified in bisulfite sequencing primers from the bisulfite-modified genomic DNA of different clinical samples on membrane. Furthermore, bisulfite-modified genomic DNA of the different samples was directly fixed on membrane to fabricate bisulfite genomic DNA arrays. The two kinds of arrays were hybridized by probes labeled with digoxigenin, and the hybridization signals were obtained through chemiluminescent detection. The methylation statuses of the IGFBP7 gene for breast tumor and normal tissue samples and for normal human blood cell samples were detected successfully by the two procedures. It was shown that the methods are reliable and sensitive and that they have high potential in screening molecular methylation markers from a large number of clinical samples.     

Quantitative analysis of DNA array autoradiographs

DNA arrays and chips are powerful new tools for gene expression profiling. Current arrays contain hundreds or thousands of probes and large scale sequencing and screening projects will likely lead to the creation of global genomic arrays. DNA arrays and chips will be key in understanding how genes respond to specific changes of environment and will also greatly assist in drug discovery and molecular diagnostics. To facilitate widespread realization of the quantitative potential of this approach, we have designed procedures and software which facilitate analysis of autoradiography films with accuracy comparable to phosphorimaging devices. Algorithms designed for analysis of DNA array autoradiographs incorporate 3-D peak fitting of features on films and estimation of local backgrounds. This software has a flexible grid geometry and can be applied to different types of DNA arrays, including custom arrays.     

Dendrimeric coating of glass slides for sensitive DNA microarrays analysis

Successful use and reliability of microarray technology is highly dependent on several factors, including surface chemistry parameters and accessibility of cDNA targets to the DNA probes fixed onto the surface. Here, we show that functionalisation of glass slides with homemade dendrimers allow production of more sensitive and reliable DNA microarrays. The dendrimers are nanometric structures of size-controlled diameter with aldehyde function at their periphery. Covalent attachment of these spherical reactive chemical structures on amino-silanised glass slides generates a reactive ~100 Å layer onto which amino-modified DNA probes are covalently bound. This new grafting chemistry leads to the formation of uniform and homogenous spots. More over, probe concentration before spotting could be reduced from 0.2 to 0.02 mg/ml with PCR products and from 20 to 5 µM with 70mer oligonucleotides without affecting signal intensities after hybridisation with Cy3- and Cy5-labelled targets. More interestingly, while the binding capacity of captured probes on dendrimer-activated glass surface (named dendrislides) is roughly similar to other functionalised glass slides from commercial sources, detection sensitivity was 2-fold higher than with other available DNA microarrays. This detection limit was estimated to 0.1 pM of cDNA targets. Altogether, these features make dendrimer-activated slides ideal for manufacturing cost-effective DNA arrays applicable for gene expression and detection of mutations.     

A highly sensitive DNA bead-based suspension array for the detection and species identification of bovine piroplasms

Piroplasms are among the most harmful tick-borne pathogens for livestock and sensitive and specific diagnostic methods for rapid detection and identification of the different species are needed for effective control. Reverse Line Blot has been the molecular technique of choice but it is laborious, time-consuming and highly susceptible to subjective variation in the interpretation of the hybridisation signal. Here, an oligonucleotide multiplex suspension microarray (Luminex® microsphere system) was developed for bovine piroplasms. Probes previously used in Reverse Line Blot for Babesia divergens, Babesia bovis, Babesia occultans, Babesia bigemina and Theileria buffeli, and a catch-all Theileria and Babesia control probe, were included in the Luminex assay together with newly designed probes for Theileria annulata and Babesia major. An internal amplification control that was detected with a Luminex probe was included to monitor for inhibition. Serially diluted linearised recombinant plasmids of the different species were used to assess the analytical sensitivity and specificity, and the detection limit of the Luminex assay was determined using serial dilutions of infected blood from an animal with a known level of T. annulata parasitaemia. The assay was then validated on 214 bovine blood samples analysed in parallel by Reverse Line Blot and Luminex. The Luminex assay proved to be highly specific and more sensitive than Reverse Line Blot, detecting 0.05 parasites/μl of blood. Technically, the Luminex procedure was rapid, provided high throughput screening, transformed the subjective interpretation of Reverse Line Blot results into numerical objective values, and allowed more flexibility in array preparation than Reverse Line Blot. The method described herein can substantially improve the detection of piroplasm carriers and thus better protect livestock trade and facilitate preventive control programs.     

DNA array analysis in a Microsoft Windows environment.

Microsoft Windows-based computers have evolved to the point that they provide sufficient computational and visualization power for robust analysis of DNA array data. In fact, smaller laboratories might prefer to carry out some or all of their analyses and visualization in a Windows environment, rather than alternative platforms such as UNIX. We have developed a series of manually executed macros written in Visual Basic for Microsoft Excel spreadsheets, that allows for rapid and comprehensive gene expression data analysis. The first macro assigns gene names to spots on the DNA array and normalizes individual hybridizations by expressing the signal intensity for each gene as a percentage of the sum of all gene intensities. The second macro streamlines statistical consideration of the confidence in individual gene measurements for sets of experimental replicates by calculating probability values with the Student's t test. The third macro introduces a threshold value, calculates expression ratios between experimental conditions, and calculates the standard deviation of the mean of the log ratio values. Selected columns of data are copied by a fourth macro to create a processed data set suitable for entry into a Microsoft Access database. An Access database structure is described that allows simple queries across multiple experiments and export of data into third-party data visualization software packages. These analysis tools can be used in their present form by others working with commercial E. coli membrane arrays, or they may be adapted for use with other systems. The Excel spreadsheets with embedded Visual Basic macros and detailed instructions for their use are available at http://www.ou.edu/microarray.     

Clustering binary fingerprint vectors with missing values for DNA array data analysis.

Oligonucleotide fingerprinting is a powerful DNA array-based method to characterize cDNA and ribosomal RNA gene (rDNA) libraries and has many applications including gene expression profiling and DNA clone classification. We are especially interested in the latter application. A key step in the method is the cluster analysis of fingerprint data obtained from DNA array hybridization experiments. Most of the existing approaches to clustering use (normalized) real intensity values and thus do not treat positive and negative hybridization signals equally (positive signals are much more emphasized). In this paper, we consider a discrete approach. Fingerprint data are first normalized and binarized using control DNA clones. Because there may exist unresolved (or missing) values in this binarization process, we formulate the clustering of (binary) oligonucleotide fingerprints as a combinatorial optimization problem that attempts to identify clusters and resolve the missing values in the fingerprints simultaneously. We study the computational complexity of this clustering problem and a natural parameterized version and present an efficient greedy algorithm based on MINIMUM CLIQUE PARTITION on graphs. The algorithm takes advantage of some unique properties of the graphs considered here, which allow us to efficiently find the maximum cliques as well as some special maximal cliques. Our preliminary experimental results on simulated and real data demonstrate that the algorithm runs faster and performs better than some popular hierarchical and graph-based clustering methods. The results on real data from DNA clone classification also suggest that this discrete approach is more accurate than clustering methods based on real intensity values in terms of separating clones that have different characteristics with respect to the given oligonucleotide probes.     

Normalization of single-channel DNA array data by principal component analysis

MOTIVATION: Detailed comparison and analysis of the output of DNA gene expression arrays from multiple samples require global normalization of the measured individual gene intensities from the different hybridizations. This is needed for accounting for variations in array preparation and sample hybridization conditions. RESULTS: Here, we present a simple, robust and accurate procedure for the global normalization of datasets generated with single-channel DNA arrays based on principal component analysis. The procedure makes minimal assumptions about the data and performs well in cases where other standard procedures produced biased estimates. It is also insensitive to data transformation, filtering (thresholding) and pre-screening.     

Ligase-based multiple DNA analysis by using an electrochemical sensor array

We herein report an electrochemical biosensor for the sequence-specific detection of DNA with high discrimination ability for single-nucleotide polymorphisms (SNPs). This DNA sensor was constructed by a pair of flanking probes that "sandwiched" the target. A 16-electrode electrochemical sensor array was employed, each having one individual DNA capture probe immobilized at gold electrodes via gold-thiol chemistry. By coupling with a biotin-tagged detection probe, we were able to detect multiple DNA targets with a single array. In order to realize SNP detection, a ligase-based approach was employed. In this method, both the capture probe and the detection probe were in tandem upon being hybridized with the target. Importantly, we employed a ligase that specifically could ligate tandem sequences only in the absence of mismatches. As a result, when both probes were complementary to the target, they were ligated in the presence of the ligase, thus being retained at the surface during the subsequent stringent washing steps. In contrast, if there existed 1-base mismatch, which could be efficiently recognized by the ligase, the detection probe was not ligated and subsequently washed away. A conjugate of avidin-horseradish peroxidase was then attached to the biotin label at the end of the detection probe via the biotin-avidin bridge. We then electrochemically interrogated the electrical current for the peroxidase-catalyzed reduction of hydrogen peroxide. We demonstrated that the electrochemical signal for the wild-type DNA was significantly larger than that for the sequence harboring the SNP.     

Nanoparticle assembly for sensitive DNA detection using SERRS

SERRS (surface-enhanced resonance Raman scattering) is a vibrational technique, whereby a relatively weak Raman scattering effect is enhanced through the use of a visible chromophore and a roughened metal surface. The direct analysis of DNA by SERRS requires the modification of a nucleic acid sequence to incorporate a chromophore, and adsorption of the modified sequence on to a roughened metal surface. Aggregated metallic nanoparticles are commonly used in the analysis of dye-labelled DNA by SERRS, allowing for detection levels that rival those gained from standard fluorescence-based techniques. In the present paper, we report on how SERRS can be exploited for the analysis of clinically relevant DNA samples. We also report on the ability of nanoparticles to aggregate as the result of a biologically significant event, as opposed to the use of an external charge-modifying agent. The self-assembly of metallic nanoparticles is shown to be a promising new technique in the move towards extremely sensitive methods of DNA analysis by SERRS.     

High-density array analysis of DNA methylation in Tamoxifen-resistant breast cancer cell lines

Roughly two-thirds of all breast cancers are ERα-positive and can be treated with the antiestrogen, Tamoxifen, however resistance occurs in 33% of women who take the drug for more than 5 y. Aberrant DNA methylation, an epigenetic mechanism that alters gene expression in cancer, is thought to play a role in this resistance. To develop an understanding of Tamoxifen-resistance and identify novel pathways and targets of aberrant methylation, DNA from MCF-7 breast cancer cells and Tamoxifen-resistant derivatives, TMX2–11 and TMX2–28, were analyzed using the Illumina HumanMethylation450 BeadChip. Normalizing against MCF-7 values, ERα-positive TMX2–11 had 4000 hypermethylated sites and ERα-negative TMX2–28 had over 33?000. Analysis of CpG sites altered in both TMX2–11 and TMX2–28 revealed that the Tamoxifen-resistant cell lines share 3000 hypermethylated and 200 hypomethylated CpGs. ZNF350 and MAGED1, two genes hypermethylated in both cell lines, were examined in greater detail. Treatment with 5-aza-2′deoxycitidine caused a significant reduction in promoter methylation of both ZNF350 and MAGED1 and a corresponding increase in expression in TMX2–28. A similar relationship between methylation and expression was not detected in TMX2–11. Our findings are indicative of the variable responses to methylation-targeted breast cancer therapy and highlight the need for biomarkers that accurately predict treatment outcome.     

High-density array analysis of DNA methylation in Tamoxifen-resistant breast cancer cell lines

Roughly two-thirds of all breast cancers are ERα-positive and can be treated with the antiestrogen, Tamoxifen, however resistance occurs in 33% of women who take the drug for more than 5 y. Aberrant DNA methylation, an epigenetic mechanism that alters gene expression in cancer, is thought to play a role in this resistance. To develop an understanding of Tamoxifen-resistance and identify novel pathways and targets of aberrant methylation, DNA from MCF-7 breast cancer cells and Tamoxifen-resistant derivatives, TMX2–11 and TMX2–28, were analyzed using the Illumina HumanMethylation450 BeadChip. Normalizing against MCF-7 values, ERα-positive TMX2–11 had 4000 hypermethylated sites and ERα-negative TMX2–28 had over 33 000. Analysis of CpG sites altered in both TMX2–11 and TMX2–28 revealed that the Tamoxifen-resistant cell lines share 3000 hypermethylated and 200 hypomethylated CpGs. ZNF350 and MAGED1, two genes hypermethylated in both cell lines, were examined in greater detail. Treatment with 5-aza-2′deoxycitidine caused a significant reduction in promoter methylation of both ZNF350 and MAGED1 and a corresponding increase in expression in TMX2–28. A similar relationship between methylation and expression was not detected in TMX2–11. Our findings are indicative of the variable responses to methylation-targeted breast cancer therapy and highlight the need for biomarkers that accurately predict treatment outcome.     

Potentials and pitfalls of DNA array analysis of the endothelial stress response

Endothelial cells respond to inflammatory stimuli with complex genetic alterations that determine the immune response and the outcome of the inflammatory process. An additional layer of complexity is added by the different phenotypes and functional heterogeneity of endothelial cells in the various tissues. To understand these complex gene response patterns and the regulatory pathways involved, many investigators increasingly use DNA microarray analysis. There are, however, many potential pitfalls in the use of microarrays that can result in false data and erroneous conclusions. This review surveys the principles of DNA microarray technology and its applications in endothelial cell research. We also attempt to outline some of the caveats and standard criteria that have to be considered in order to realize the full potential of microarrays in inflammation research.     

Evaluating the specificity of antisense oligonucleotide conjugates. A DNA array analysis

Antisense oligonucleotides are potentially powerful tools for selective control of cellular and viral gene expression. Crucial to successful application of this approach is the specificity of the oligonucleotide for the chosen RNA target. Here we apply DNA array technology to examine the specificity of antisense oligonucleotide treatments. The molecules used in these studies consisted of phosphorothioate oligomers linked to the Antennapedia (Ant) delivery peptide. The antisense oligonucleotide component was complementary to a site flanking the AUG of the MDR1 message, which codes for P-glycoprotein, a membrane ATPase associated with multidrug resistance in tumor cells. Using a DNA array of 2059 genes, we analyzed cellular responses to molecules comprised of Ant peptide-oligonucleotide conjugates, as well as to the Ant peptide alone. Besides the expected reduction in MDR1 message level, 37 other genes (approximately 2% of those tested) showed changes of comparable magnitude. The validity of the array results was confirmed for selected genes using Northern blots to assess messenger RNA levels. These results suggest that studies using antisense oligonucleotide technology to modulate gene expression need to be interpreted with caution.     

Receiver operating characteristic analysis: a general tool for DNA array data filtration and performance estimation

A critical step for DNA array analysis is data filtration, which can reduce thousands of detected signals to limited sets of genes. Commonly accepted rules for such filtration are still absent. We present a rational approach, based on thresholding of intensities with cutoff levels that are estimated by receiver operating characteristic (ROC) analysis. The technique compares test results with known distributions of positive and negative signals. We apply the method to Atlas cDNA arrays, GeneFilters, and Affymetrix GeneChip. ROC analysis demonstrates similarities in the distribution of false and true positive data for these different systems. We illustrate the estimation of an optimal cutoff level for intensity-based filtration, providing the highest ratio of true to false signals. For GeneChip arrays, we derived filtration thresholds consistent with the reported data based on replicate hybridizations. Intensity-based filtration optimized with ROC combined with other types of filtration (for example, based on significances of differences and/or ratios), should improve DNA array analysis. ROC methodology is also demonstrated for comparison of the performance of different types of arrays, imagers, and analysis software.     

A sensitive nonisotopic hybridization assay for HIV-1 DNA

We have developed a microtiter-based sandwich hybridization assay for the detection of low copy number HIV-1 sequences. The assay employs a capture DNA sequence covalently coupled to microtiter wells through linker arms. The detection probe is a biotin-labeled DNA fragment derived from sequences adjacent to the capture sequence. After hybridization in the presence of sample nucleic acid, the detection probe remains bound only if the sample contained complementary sequences spanning the junction between capture and detection probes. The amount of detection probe bound is quantified by incubation with a peroxidase-streptavidin conjugate and a colorimetric peroxidase substrate. This assay has been combined with enzymatic target amplification to achieve sensitive detection of HIV-1 in patient samples. Following amplification of HIV-1 DNA using the polymerase chain reaction technique, a 190-bp product is produced. This product is easily and specifically quantified using the sandwich hybridization assay. The resulting test can detect one HIV-1-infected cell in 10(5) cells or about 30 molecules of HIV-1 DNA.     

A sensitive fluorometric assay for the determination of DNA

A sensitive fluorometric assay for DNA determination using m-diaminobenzoic acid dihydrochloride for the reaction with deoxyribose liberated by perchloric acid is described. Fluorescence is proportional to the amount of DNA over the range 0.05–5 μg of DNA when the reaction is conducted in a volume of 400 μl and over the range 0.01–0.5 μg when the reaction is conducted in a volume of 40 μl. The assay is suitable for estimating DNA both in perchloric acid extracts and in complex mixtures with protein and RNA. The determination of DNA in cells grown as a monolayer by the described method is simple and rapid.     

TaqMan probe array for quantitative detection of DNA targets

To date real-time quantitative PCR and gene expression microarrays are the methods of choice for quantification of nucleic acids. Herein, we described a unique fluorescence resonance energy transfer-based microarray platform for real-time quantification of nucleic acid targets that combines advantages of both and reduces their limitations. A set of 3′ amino-modified TaqMan probes were designed and immobilized on a glass slide composing a regular microarray pattern, and used as probes in the consecutive PCR carried out on the surface. During the extension step of the PCR, 5′ nuclease activity of DNA polymerase will cleave quencher dyes of the immobilized probe in the presence of nucleic acids targets. The increase of fluorescence intensities generated by the change in physical distance between reporter fluorophore and quencher moiety of the probes were collected by a confocal scanner. Using this new approach we successfully monitored five different pathogenic genomic DNAs and analyzed the dynamic characteristics of fluorescence intensity changes on the TaqMan probe array. The results indicate that the TaqMan probe array on a planar glass slide monitors DNA targets with excellent specificity as well as high sensitivity. This set-up offers the great advantage of real-time quantitative detection of DNA targets in a parallel array format.     

A simple and sensitive DNA assay for plant extracts

A sensitive fluorimetric method was developed for the quantitative determination of DNA in plant (Zea mays L. and Medicago sativa L.) extracts. This method takes advantage of the specific increase in fluorescence intensity of the complex of DNA and the dye 4′,6′-diamidino-2-phenylindole (DAPI). Recovery of DNA and dissociation of histones from DNA were maximized by the addition of 2.0 molar NaCl to the homogenates. Treatment of the homogenate with chloroform to remove pigments and proteins decreased the quenching of fluorescence of the DAPI-DNA complex. The fluorescence intensity of RNA with DAPI was less than 2% of that produced by an equivalent weight of DNA. Comparisons were made between this fluorimetric DNA method and the commonly used diphenylamine assay for DNA. The diphenylamine DNA assay was more timeconsuming, less sensitive, and consistently resulted in lower estimates of DNA concentrations than did the fluorimetric DNA assay.