Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Oligonucleotide Array Sequence Analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 631 records · Page 35Linked to original sources
PubMed2005

A post-processing method for optimizing synthesis strategy for oligonucleotide microarrays.

The broad applicability of gene expression profiling to genomic analyses has generated huge demand for mass production of microarrays and hence for improving the cost effectiveness of microarray fabrication. We developed a post-processing method for deriving a good synthesis strategy. In this paper, we assessed all the known efficient methods and our post-processing method for reducing the number of synthesis cycles for manufacturing a DNA-chip of a given set of oligos. Our experimental results on both simulated and 52 real datasets show that no single method consistently gives the best synthesis strategy, and post-processing an existing strategy is necessary as it often reduces the number of synthesis cycles further.

Algorithms↗
PubMed2005

Position of the fluorescent label is a crucial factor determining signal intensity in microarray hybridizations.

A key issue in applications of short oligonucleotide-based microarrays is how to design specific probes with high sensitivity. Some details of the factors affecting microarray hybridization remain unclear, hampering a reliable quantification of target nucleic acids. We have evaluated the effect of the position of the fluorescent label [position of label (POL)] relative to the probe-target duplex on the signal output of oligonucleotide microarrays. End-labelled single-stranded DNA targets of different lengths were used for hybridization with perfect-match oligonucleotide probe sets targeting different positions of the same molecule. Hybridization results illustrated that probes targeting the labelled terminus of the target showed significantly higher signals than probes targeting other regions. This effect was independent of the target gene, the fluorophore and the slide surface chemistry. Comparison of microarray signal patterns of fluorescently end-labelled, fluorescently internally random-labelled and radioactively end-labelled target-DNAs with the same set of oligonucleotide probes identified POL as a critical factor affecting signal intensity rather than binding efficiency. Our observations define a novel determinant for large differences of signal intensities. Application of the POL effect may contribute to better probe design and data interpretation in microarray applications.

DNA, Single-Stranded↗
PubMed2005

Use of a mixed tissue RNA design for performance assessments on multiple microarray formats.

The comparability and reliability of data generated using microarray technology would be enhanced by use of a common set of standards that allow accuracy, reproducibility and dynamic range assessments on multiple formats. We designed and tested a complex biological reagent for performance measurements on three commercial oligonucleotide array formats that differ in probe design and signal measurement methodology. The reagent is a set of two mixtures with different proportions of RNA for each of four rat tissues (brain, liver, kidney and testes). The design provides four known ratio measurements of >200 reference probes, which were chosen for their tissue-selectivity, dynamic range coverage and alignment to the same exemplar transcript sequence across all three platforms. The data generated from testing three biological replicates of the reagent at eight laboratories on three array formats provides a benchmark set for both laboratory and data processing performance assessments. Close agreement with target ratios adjusted for sample complexity was achieved on all platforms and low variance was observed among platforms, replicates and sites. The mixed tissue design produces a reagent with known gene expression changes within a complex sample and can serve as a paradigm for performance standards for microarrays that target other species.

Animals↗
PubMed2004

Synthesis and application of new amino modification analogues for functional oligonucleotide.

We synthesized new analogues to functionalize oligonucleotides. These analogues included a primary amino group tethering to an aromatic ring, and we introduced them into the 5'-end of each oligonucleotide. The oligonucleotides with the aromatic amino group (OAA) were easily purified from impurities by using their hydrophobic property of the aromatic residue. These OAA probes reacted with activated ester groups more efficiently than the conventional probe, which was modified with 6-aminohexyl group. Furthermore, we applied these OAAs to oligonucleotide array probes. The OAA probes were efficiently immobilized on the array surface, and the hybridization intensity on these probes increased as compared with the conventional probes. These new probes can be a new nucleic acid tool for biological assay systems.

Amines↗
PubMed2005

High throughput purification of amino-modified oligonucleotides and its application to novel detection system of gene expression.

We report here a new amino-modifier reagent, which enable high-throughput purification of amino-modified oligonucleotides. Either monomethoxytrityl (MMT) or trifluoroacetyl (TFA) group has been used as the protecting group for the primary amine when amino-terminal oligonucleotides are prepared. Generally, the removal of MMT requires the stringent acidic treatment after the oligonucleotide synthesis. We chemically synthesized a novel amino-modifier with the MMT protection. It was found that the new amino-modifier released MMT group under mild acidic condition, and then rapid purification of diverse amino-modified oligonucleotides could be achieved with cartridge column of reverse phase. Furthermore, we tried to construct the new detection system to study gene expression using the amino-modified oligonucleotides. The new amino-modifier will be useful for molecular biology by facilitating the construction of oligonucleotide library and improving the chemical reactivity.

Amines↗
PubMed2005

Application of L-DNA as a molecular tag.

Enantiomeric DNA termed as L-DNA has unique properties. One is the ability of hybridizing to the complementary DNA as natural D-DNA. Another property is that the L-DNA could be recognized much more weakly by enzymes than D-DNA. We have focused our attention on these properties and applied L-DNA as a molecular tag. Here, we report that L-D chimera DNA is useful for PCR primers and subsequent separation and hybridization. Precise investigation revealed that in the process of PCR, L-DNA region could not be the PCR template and the polymerase extension reaction stopped at the boundary between L- and D-DNA region. As a result, L-DNA region formed like a "sticky end" and played a role of molecular tag. According to the L-DNA tag sequence, the produced L-DNA-tagged PCR products were easily separated or hybridized on the solid surface where the complementary L-DNA was pre-immobilized.

DNA↗
PubMed2002

Differential gene expression patterns revealed by oligonucleotide versus long cDNA arrays.

DNA microarrays can be classified into oligonucleotides (Affymetrix) or long cDNAs (IncyteGenomics) based on the arrayed probes. Unfortunately, data are lacking on the comparison of these two popular global screening array systems. The present study was designed to assess the reliability of datasets generated by the two platforms from the same samples. We have already established a model for upregulation of a cluster of antioxidant responsive element (ARE)-driven genes in a human neuroblastoma cell line by treatment with tert-butylhydroquinone (tBHQ) for 8 and 24 h. HuGene FL (Affymetrix), U95 Av2 (Affymetrix), and UniGem V 2.0 (IncyteGenomics) were chosen to do the comparative study on 8- and 24-h samples. The Affymetrix data generated from U95Av2 chips demonstrated that the mRNA of 218 (2.3% of total clones) genes was increased after 8 h of tBHQ treatment. This list included most of the known ARE-driven genes, and nine selected genes showed a high consistency with RT-PCR results. IncyteGenomics called four genes increased and no genes were decreased. These same four genes were also called by the Affymetrix microarray. The sensitivity (fluorescence intensity) and specificity (fold) were very different for selected genes when comparing the two platforms. Cross-hybridization was shown to partially contribute to the discrepancies of the data generated by the two platforms. According to our results, the data generated from oligonucleotide microarrays is more reliable for interrogating changes in gene expression than data from long cDNA microarrays.

Antioxidants↗
PubMed2004

Bromobenzene-induced hepatotoxicity at the transcriptome level.

Rats were exposed to three levels of bromobenzene, sampled at 6, 24, and 48 h, and liver gene expression profiles were determined to identify dose and time-related changes. Expression of many genes changed transiently, and dependent on the dose. Few changes were identified after 6 h, but many genes were differentially expressed after 24 h, while after 48 h, only the high dose elicited large effects. Differentially expressed genes were involved in drug metabolism (upregulated GSTs, mEH, NQO1, Mrps, downregulated CYPs, sulfotransferases), oxidative stress (induced HO-1, peroxiredoxin, ferritin), GSH depletion (induced GCS-l, GSTA, GSTM) the acute phase response, and in processes like cholesterol, fatty acid and protein metabolism, and intracellular signaling. Trancriptional regulation via the electrophile and sterol response elements seemed to mediate part of the response to bromobenzene. Recovery of the liver was suggested in response to BB by the altered expression of genes involved in protein synthesis and cytoskeleton rearrangement. Furthermore, after 48 h, rats in the mid dose group showed no toxicity, and gene expression patterns resembled the normal situation. For certain genes (e.g., CYP4A, metallothioneins), intraday variation in expression levels was found, regardless of the treatment. Selected cDNA microarray measurements were confirmed using the specific and sensitive branched DNA signal amplification assay.

Animals↗
PubMed2004

Single nucleotide polymorphisms predict the change in left ventricular mass in response to antihypertensive treatment.

BACKGROUND: Our aim was to determine whether the change in left ventricular (LV) mass in response to antihypertensive treatment could be predicted by multivariate analysis of single nucleotide polymorphisms (SNPs) in candidate genes reflecting pathways likely to be involved in blood pressure control. METHODS: Patients with mild to moderate primary hypertension and LV hypertrophy were randomized in a double-blind fashion to treatment with either the angiotensin II type 1 receptor antagonist irbesartan (n = 48) or the beta1 adrenoreceptor blocker atenolol (n = 49). A microarray-based minisequencing system was used for genotyping 74 SNPs in 25 genes. These genotypes were related to the change in LV mass index by echocardiography, after 12 weeks treatment as monotherapy, using stepwise multiple regression analysis. RESULTS: The blood pressure reductions were similar and significant in both treatment groups. Two SNPs in two separate genes (the angiotensinogen T1198C polymorphism, corresponding to the M235T variant and the apolipoprotein B G10108A polymorphism) for those treated with irbesartan, and the adrenoreceptor alpha2A A1817G for those treated with atenolol, significantly predicted the change in LV mass. The predictive power of these SNPs was independent of the degree of blood pressure reduction. CONCLUSION: SNPs in the angiotensinogen, apolipoprotein B, and the alpha2 adrenoreceptor gene predicted the change in LV mass during antihypertensive therapy. These results illustrate the potential of using microarray-based technology for SNP genotyping in predicting individual drug responses.

Adrenergic beta-Antagonists↗
PubMed2006

Multivariate analysis of microarray data by principal component discriminant analysis: prioritizing relevant transcripts linked to the degradation of different carbohydrates in Pseudomonas putida S12.

The value of the multivariate data analysis tools principal component analysis (PCA) and principal component discriminant analysis (PCDA) for prioritizing leads generated by microarrays was evaluated. To this end, Pseudomonas putida S12 was grown in independent triplicate fermentations on four different carbon sources, i.e. fructose, glucose, gluconate and succinate. RNA isolated from these samples was analysed in duplicate on an anonymous clone-based array to avoid bias during data analysis. The relevant transcripts were identified by analysing the loadings of the principal components (PC) and discriminants (D) in PCA and PCDA, respectively. Even more specifically, the relevant transcripts for a specific phenotype could also be ranked from the loadings under an angle (biplot) obtained after PCDA analysis. The leads identified in this way were compared with those identified using the commonly applied fold-difference and hierarchical clustering approaches. The different data analysis methods gave different results. The methods used were complementary and together resulted in a comprehensive picture of the processes important for the different carbon sources studied. For the more subtle, regulatory processes in a cell, the PCDA approach seemed to be the most effective. Except for glucose and gluconate dehydrogenase, all genes involved in the degradation of glucose, gluconate and fructose were identified. Moreover, the transcriptomics approach resulted in potential new insights into the physiology of the degradation of these carbon sources. Indications of iron limitation were observed with cells grown on glucose, gluconate or succinate but not with fructose-grown cells. Moreover, several cytochrome- or quinone-associated genes seemed to be specifically up- or downregulated, indicating that the composition of the electron-transport chain in P. putida S12 might change significantly in fructose-grown cells compared to glucose-, gluconate- or succinate-grown cells.

Carbohydrate Metabolism↗
PubMed2001

Flexible use of high-density oligonucleotide arrays for single-nucleotide polymorphism discovery and validation.

A method for identifying and validating single nucleotide polymorphisms (SNPs) with high-density oligonucleotide arrays without the need for locus-specific polymerase chain reactions (PCR) is described in this report. Genomic DNAs were divided into subsets with complexity of ~10 Mb by restriction enzyme digestion and gel-based fragment size resolution, ligated to a common adaptor, and amplified with one primer in a single PCR reaction. As a demonstration of this approach, a total of 124 SNPs were located in 190 kb of genomic sequences distributed across the entire human genome by hybridizing to high-density variant detection arrays (VDA). A set of independent validation experiments was conducted for these SNPs employing bead-based affinity selection followed by hybridization of the affinity-selected SNP-containing fragments to the same VDA that was used to identify the SNPs. A total of 98.7% (74/75) of these SNPs were confirmed using both DNA dideoxynucleotide sequencing and the VDA methodologies. With flexible sample preparation, high-density oligonucleotide arrays can be tailored for even larger scale genome-wide SNP discovery as well as validation.

Cell Line↗
PubMed2001

Ceramic capillaries for use in microarray fabrication.

We have used ceramic capillary tips generally used in the microelectronics industry for the production of DNA microarrays. The ceramic tips improve the morphology of microarray elements, allow higher element density, and increase printing tip life over the customary slotted stainless-steel pins. Ceramic tips are less expensive than steel pins and allow printing from 1536-well sample source plates. In this work, we describe experiments that establish printing performance of the ceramic tips and hybridization experiments that show that DNA hybridization is unaffected by the choice of tip material.

Animals↗
PubMed2001

High-throughput variation detection and genotyping using microarrays.

The genetic dissection of complex traits may ultimately require a large number of SNPs to be genotyped in multiple individuals who exhibit phenotypic variation in a trait of interest. Microarray technology can enable rapid genotyping of variation specific to study samples. To facilitate their use, we have developed an automated statistical method (ABACUS) to analyze microarray hybridization data and applied this method to Affymetrix Variation Detection Arrays (VDAs). ABACUS provides a quality score to individual genotypes, allowing investigators to focus their attention on sites that give accurate information. We have applied ABACUS to an experiment encompassing 32 autosomal and eight X-linked genomic regions, each consisting of approximately 50 kb of unique sequence spanning a 100-kb region, in 40 humans. At sufficiently high-quality scores, we are able to read approximately 80% of all sites. To assess the accuracy of SNP detection, 108 of 108 SNPs have been experimentally confirmed; an additional 371 SNPs have been confirmed electronically. To access the accuracy of diploid genotypes at segregating autosomal sites, we confirmed 1515 of 1515 homozygous calls, and 420 of 423 (99.29%) heterozygotes. In replicate experiments, consisting of independent amplification of identical samples followed by hybridization to distinct microarrays of the same design, genotyping is highly repeatable. In an autosomal replicate experiment, 813,295 of 813,295 genotypes are called identically (including 351 heterozygotes); at an X-linked locus in males (haploid), 841,236 of 841,236 sites are called identically.

Algorithms↗
PubMed2003

Genotyping on a thermal gradient DNA chip.

Silicon-based chips with discrete, independently temperature-controlled islands have been developed for use in DNA microarray hybridization studies. Each island, containing a heater made of a diffusion layer and a temperature sensor based on a p-n junction, is created on a silicon dioxide/nitride surface by anisotropic etching. Different reactive groups are subsequently added to the surface of the islands, and allele-specific oligonucleotide probes are attached to discrete spots on the chip. Hybridization is performed with Cy5-tagged single-stranded targets derived by PCR from genomic DNA. Results are assessed by measuring fluorescence of bound dye-tagged targets after hybridization and washing. Temperatures at each island can be set at different values to obtain optimal distinction between perfect matches and mismatches. This approach facilitates definition of optimal temperatures for probe/target annealing and for distinction between perfectly matched versus mismatched solution-phase targets. The thermal gradient DNA chips were then tested for genotyping, and the results for four different loci in two genes are presented. Unambiguous typing was achieved for clinically relevant loci within the factor VII and hemochromatosis genes.

Factor VII↗
PubMed2003

In situ-synthesized novel microarray optimized for mouse stem cell and early developmental expression profiling.

Applications of microarray technologies to mouse embryology/genetics have been limited, due to the nonavailability of microarrays containing large numbers of embryonic genes and the gap between microgram quantities of RNA required by typical microarray methods and the miniscule amounts of tissue available to researchers. To overcome these problems, we have developed a microarray platform containing in situ-synthesized 60-mer oligonucleotide probes representing approximately 22,000 unique mouse transcripts, assembled primarily from sequences of stem cell and embryo cDNA libraries. We have optimized RNA labeling protocols and experimental designs to use as little as 2 ng total RNA reliably and reproducibly. At least 98% of the probes contained in the microarray correspond to clones in our publicly available collections, making cDNAs readily available for further experimentation on genes of interest. These characteristics, combined with the ability to profile very small samples, make this system a resource for stem cell and embryogenomics research.

Animals↗
PubMed2004

Spatially resolved electronic detection of biopolymers.

An integrated array of field-effect transistor structures is used to detect two oppositely charged biopolymers: poly(L-lysine) and DNA. Local deposition of polymer solutions on part of the array induces sizeable variations in the dc current-voltage characteristics of the transistors exposed to the molecular charge. The whole transistor array is measured in the presence of a common electrolyte. Differential signals are studied as a function of electrolyte salt and polymer concentrations. The measurements provide information on the interface electrostatic potentials of the (semiconductor/biopolymer/electrolyte) system and the experimental data are compared to an analytical model which accounts for screening of the adsorbed charge by mobile ions.

Biopolymers↗
PubMed2004

A self-tuning method for one-chip SNP identification.

Current methods for interpreting oligonucleotide-based SNP-detection microarrays, SNP chips, are based on statistics and require extensive parameter tuning as well as extremely high-resolution images of the chip being processed. We present a method, based on a simple data-classification technique called nearest-neighbors that, on haploid organisms, produces results comparable to the published results of the leading statistical methods and requires very little in the way of parameter tuning. Furthermore, it can interpret SNP chips using lower-resolution scanners of the type more typically used in current microarray experiments. Along with our algorithm, we present the results of a SNP-detection experiment where, when independently applying this algorithm to six identical SARS SNP chips, we correctly identify all 24 SNPs in a particular strain of the SARS virus, with between 6 and 13 false positives across the six experiments.

Algorithms↗