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At least 397 records · Page 22Linked to original sources
PubMed2005

Nanoscale-controlled spacing provides DNA microarrays with the SNP discrimination efficiency in solution phase.

We have prepared solid substrates modified with a cone-shaped dendron that generates mesospacing (3.2 nm on average) on the surface. This nanoscale-controlled surface provided an ideal DNA microarray in which each probe DNA strand was given ample space for the incoming target DNA, resulting in selectivity as high as that in solution (100: < 1). In addition, high hybridization yield confirms that DNA probes on the mesospaced surface are sterically unhindered for the hybridization.

Base Sequence↗
PubMed2006

New mosaic subgenotype of varicella-zoster virus in the USA: VZV detection and genotyping by oligonucleotide-microarray.

A rapid and sensitive microarray-based method was used to distinguish the three major circulating genotypes of varicella-zoster virus (VZV). The method analyzes five variable positions located in a 447-nucleotide variable region 1 of open reading frame 22 (ORF 22r1); these single nucleotide polymorphisms (SNP) display in stably occurring patterns specific to each of the VZV genotypes established in previously published studies. Pairs of short oligonucleotide probes (oligoprobes) with sequences corresponding to all of the observed SNP were used to detect specific sequences. Fluorescently labeled ssRNA samples for hybridization with a chip were prepared by in vitro T7 polymerase driven transcription of the amplicons of ORF 22r1, followed by chemical labeling with Cy5 into RNA sample. Ratios between fluorescent hybridization signals from each pair of oligoprobes were used to assess the sequence at each SNP. We evaluated six reference VZV strains and 130 VZV clinical specimens to validate the method. The microarray method accurately identified strains isolated in the US in 2001-2002, representing all major genotypes as determined using more extensive sequence analysis, correctly assigning strains to genotypes E (81.5%), J (3%) and M (15.5%). In addition, a new M variant (M3) was identified.

Carbocyanines↗
PubMed2004

EICO (Expression-based Imprint Candidate Organizer): finding disease-related imprinted genes.

We have developed an integrated database that is specialized for the study of imprinted disease genes. The database contains novel candidate imprinted genes identified by the RIKEN full-length mouse cDNA microarray study, information on validated single nucleotide polymorphisms (SNPs) to confirm imprinting using reciprocal mouse crosses and the predicted physical position of imprinting-related disease loci in the mouse and human genomes. It has two user-friendly search interfaces: the SNP-central view (MuSCAT: MoUse SNP CATalog) and the candidate gene-central view (CITE: Candidate Imprinted Transcripts by Expression). The database, EICO (Expression-based Imprint Candidate Organizer), can be accessed via the World Wide Web (http://fantom2.gsc.riken.jp/EICODB/) and the DAS client software. These data and interfaces facilitate understanding of the mechanism of imprinting in mammalian inherited traits.

Animals↗
PubMed2006

High throughput SNP and expression analyses of candidate genes for non-syndromic oral clefts.

BACKGROUND: Recent work suggests that multiple genes and several environmental risk factors influence risk for non-syndromic oral clefts, one of the most common birth defects in humans. Advances in high-throughput genotyping technology now make it possible to test multiple markers in many candidate genes simultaneously. METHODS: We present findings from family based association tests of single nucleotide polymorphism (SNP) markers in 64 candidate genes genotyped using the BeadArray approach in 58 case-parent trios from Maryland (USA) to illustrate how multiple markers in multiple genes can be analysed. To assess whether these genes were expressed in human craniofacial structures relevant to palate and lip development, we also analysed data from the Craniofacial and Oral Gene Expression Network (COGENE) consortium, and searched public databases for expression profiles of these genes. RESULTS: Thirteen candidate genes showed significant evidence of linkage in the presence of disequilibrium, and ten of these were found to be expressed in relevant embryonic tissues: SP100, MLPH, HDAC4, LEF1, C6orf105, CD44, ALX4, ZNF202, CRHR1, and MAPT. Three other genes showing statistical evidence (ADH1C, SCN3B, and IMP5) were not expressed in the embryonic tissues examined here. CONCLUSIONS: This approach demonstrates how statistical evidence on large numbers of SNP markers typed in case-parent trios can be combined with expression data to identify candidate genes for complex disorders. Many of the genes reported here have not been previously studied as candidates for oral clefts and warrant further investigation.

Chromosome Mapping↗
PubMed2005

The bovine PPARGC1A gene: molecular characterization and association of an SNP with variation of milk fat synthesis.

Several studies in a variety of breeds have reported at least two QTL for milk production traits, including milk fat synthesis on bovine chromosome 6 (BTA6), comprising a region that comparatively has been mapped to equivalent syntenic chromosome intervals in human, pig, and mouse harboring loci associated with type II diabetes and obesity-related traits. We identified the bovine peroxysome proliferator-activated receptor-gamma coactivator-1alpha gene (PPARGC1A) as a plausible positional and functional candidate gene for a previously described QTL for milk fat yield on BTA6 because of its chromosomal position and its key role in energy, fat, and glucose metabolism. To analyze the role of the bovine PPARGC1A gene in regulation of milk fat synthesis in dairy cattle, we determined its cDNA sequence, genomic organization, chromosomal localization, and expression pattern. The bovine PPARGC1A gene is organized in 13 exons comprising 6,261 bp and is expressed at different levels in a large number of tissues. Bovine PPARGC1A cDNA and protein sequences showed substantial similarity (92-95%) to its respective orthologs from human, rat, and mouse. Screening for polymorphisms in the coding sequence, exon/intron boundaries, 5'- and 3'-untranslated regions, and promoter region of the PPARGC1A gene in sires with a different genotype at the QTL for milk fat yield as well as in a multibreed panel revealed a total of 11 polymorphic loci. A significant association between an SNP in intron 9 of the PPARGC1A gene and milk fat yield was observed in a major dairy cattle population, indicating that the PPARGC1A gene could be involved in genetic variation underlying the QTL for milk fat synthesis on BTA6.

Amino Acid Sequence↗
PubMed2003

Single nucleotide polymorphism genotyping using locked nucleic acid (LNA).

Locked nucleic acid (LNA) is a new class of bicyclic high affinity DNA analogs. LNA-containing oligonucleotides confer significantly increased affinity against their complementary DNA targets, increased mismatch discrimination (delta Tm) and allow full control of the melting point of the hybridization reaction. LNA chemistry is completely compatible with the traditional DNA phosphoramidite chemistry and therefore LNA-DNA mixmer oligonucleotides can be designed with complete freedom for optimal performance. These properties render LNA oligonucleotides very well suited for SNP genotyping and have enabled several approaches for enzyme-independent SNP genotyping based on allele-specific hybridization. In addition, allele-specific PCR assays relying on enzymatically-enhanced discrimination can be improved using LNA-modified oligonucleotides. The use of LNA transforms enzyme-independent genotyping approaches into experimentally simple, robust and cost-effective assays, which are highly suited for genotyping in clinical and industrial settings.

Alleles↗
PubMed2003

A microarray-based high throughput molecular marker genotyping method: the tagged microarray marker (TAM) approach.

A microarray-based method has been developed for scoring thousands of DNAs for a co-dominant molecular marker on a glass slide. The approach was developed to detect insertional polymorphism of transposons and works well with single nucleotide polymorphism (SNP) markers. Biotin- terminated allele-specific PCR products are spotted unpurified onto streptavidin-coated glass slides and visualised by hybridisation of fluorescent detector oligonucleotides to tags attached to the allele- specific PCR primers. Two tagged primer oligonucleotides are used per locus and each tag is detected by hybridisation to a concatameric DNA probe labelled with multiple fluorochromes.

Biotinylation↗
PubMed2006

Contribution of genomics and proteomics in understanding the role of modifying factors in Parkinson's disease.

Parkinson's disease (PD) is a complex neurological disorder, characterized by selective degeneration of nigrostriatal dopaminergic neurons. It is a multi-factorial disease, contributed by a combination of age, genetic and environmental factors. Etiology of sporadic PD and mechanism underlying selective loss of dopaminergic neurons has not yet been clearly understood. Recent developments in genomics and proteomics have revolutionized the research on PD at genetic level. Differential gene expression patterns (DNA biochip technology), age-dependent complex genetic patterns (SNP genotyping), and protein expression profiles (proteomics) of PD patients have started providing the specific and rigorous molecular explanation and role of modifying factors in PD. Genomics and proteomics are further expected to help in developing biomarkers for diagnosis of early onset PD and also to develop valuable and potential therapeutic strategies for its treatment. In this review, we have discussed the progress made by genomics and proteomics, in understanding the role of modifying factors in PD.

Animals↗
PubMed2004

Self-assembly DNA-conjugated polymer for detection of single nucleotide polymorphism.

We developed a self-assembly DNA-conjugated polymer based on polyacrylic acid (PAA) for DNA chip fabrication. A 20-mer single-stranded DNA (ssDNA, probe-1), and 3-(2-pyridyldithio)propionyl hydrazide (PDPH), for promoting self-assembled immobilization, were both covalently attached to PAA as sidechains. This DNA-conjugated PAA was then spontaneously immobilized on a gold substrate. Probe-1 on the immobilized polymer was hybridized to a 34-mer ssDNA (probe-2), which had the sequence desired for analyzing the target DNA. The fluorescence intensity after incubating the P-1 DNA-conjugated polymer with probe-2 DNA was much higher than with control sequence in the first hybridization. The interactions between target DNA and the DNA-conjugated PAA were investigated by fluorescence measurement. The interaction of fully matched target DNA with this immobilized DNA conjugated polymer has been studied at different ion strength conditions. SNP sequences as targets showed less than 15% the intensity of fully matched target DNA in the second hybridization, indicating that the gold surfaces coated with the DNA-conjugated PAA was highly specific to fully matched DNA. The DNA-conjugated PAA immobilized on a gold substrate is characterized by reduced nonspecific adsorption, due to less electrostatic repulsion as well as the polymer coating. Therefore, DNA-conjugated PAA can be used for probe DNA immobilization method.

Base Sequence↗
PubMed2006

Sensitivity enhancement of DNA microarray on nano-scale controlled surface by using a streptavidin-fluorophore conjugate.

High throughput analysis of DNA in low concentration and small volume is an important issue and a continuing challenge in the field of DNA microarray and sensor. Recently, we have demonstrated that the DNA microarray on nano-scale controlled surface provides ample space for hybridization resulting in the best discrimination efficiency for SNP analysis. Here, we report the utility of the nano-scale controlled surface in conjunction with a multiply tagged protein. Application of streptavidin-fluorophore conjugates in combination with the highly controlled surface that suppresses non-specific binding of DNA allows highly sensitive detection of DNA while maintaining superior SNP discrimination efficiency comparable to our earlier results. The sensitivity of DNA microarray on the mesospaced surface is two orders of magnitude higher than that of the generic surface when a streptavidin-fluorophore conjugate was employed, and the detection limit on the former surface was found to be 50 fM of 15-mer target DNA. Various streptavidin-fluorophore conjugates including streptavidin-Cy3, streptavidin-Cy5, streptavidin-Alexa Flour 555 and streptavidin-phycoerythrin were examined.

Anthracenes↗
PubMed2004

Endothelial nitric oxide synthase gene polymorphisms predict susceptibility to aneurysmal subarachnoid hemorrhage and cerebral vasospasm.

Rupture of an intracranial aneurysm (subarachnoid hemorrhage) is a potentially devastating condition frequently complicated by delayed cerebral ischemia from sustained contraction of intracranial arteries (cerebral vasospasm). There is mounting evidence linking the formation of intracranial aneurysms and the pathogenesis of post-subarachnoid hemorrhage vasospasm to aberrant bioavailability and action of the vasodilator molecule nitric oxide generated by isoforms of nitric oxide synthase. In humans, the gene encoding the endothelial isoform of nitric oxide synthase (eNOS) is known to be polymorphic, with certain polymorphisms associated with increased cardiovascular disease susceptibility. In this prospective clinical study involving 141 participants, we used gene microarray technology to demonstrate that the eNOS gene intron-4 27-base pair variable number tandem repeat polymorphism (eNOS 27 VNTR) predicts susceptibility to intracranial aneurysm rupture, while the eNOS gene promoter T-786C single nucleotide polymorphism (eNOS T-786C SNP) predicts susceptibility to post-subarachnoid hemorrhage vasospasm. We believe that genetic information such as this, which can be obtained expeditiously at the time of diagnosis, may be used as a helpful adjunct to other clinical information aimed at predicting and favorably modifying the clinical course of persons with intracranial aneurysms.

Adult↗
PubMed2003

High-throughput molecular analysis of urine sediment for the detection of bladder cancer by high-density single-nucleotide polymorphism array.

The detection of urothelial malignancies remains challenging. The majority of patients diagnosed with bladder cancer require life-long surveillance for disease recurrence. Monitoring strategies rely predominantly on invasive endoscopic techniques, which are inconvenient and uncomfortable. Multiple in vitro diagnostic technologies have been developed to supplant the contemporary standard of care. The U.S. Food and Drug Administration has approved several assays, but [because of inferior performance characteristics (low sensitivity and specificity)] these tests have not made a significant impact on practice, to date. We sought to develop a test for bladder cancer with better performance characterization detection based on a novel molecular approach. Matched urine and peripheral blood lymphocyte samples were obtained before surgery from 31 patients with bladder cancer (10 pTa, 4 pT1, and 17 pT2>or). DNA from these samples was subjected to allelic imbalance analysis using HuSNP chips and was validated in parallel with microsatellite analysis for loss of heterozygosity and microsatellite instability. Peripheral blood lymphocyte and urine DNA obtained from 14 individuals without clinical evidence of genitourinary malignancy served as controls. Thirty-one of 31 (100%) urine DNA samples from patients with bladder tumors were found to have 24 or more single-nucleotide polymorphism (SNP) DNA alterations. In general, SNP alterations were more common in urine samples from pT2>or tumors than pTa or pT1 tumors. SNP alterations were not identified in nine normal control subjects and in four of five patients with hematuria. These data support the noninvasive HuSNP chip assay in urine DNA as a valuable tool for the detection of bladder cancer (on a high-throughput-automated platform).

Adult↗
PubMed2004

Comparison of microsatellites versus single-nucleotide polymorphisms in a genome linkage screen for prostate cancer-susceptibility Loci.

Prostate cancer is one of the most common cancers among men and has long been recognized to occur in familial clusters. Brothers and sons of affected men have a 2-3-fold increased risk of developing prostate cancer. However, identification of genetic susceptibility loci for prostate cancer has been extremely difficult. Although the suggestion of linkage has been reported for many chromosomes, the most promising regions have been difficult to replicate. In this study, we compare genome linkage scans using microsatellites with those using single-nucleotide polymorphisms (SNPs), performed in 467 men with prostate cancer from 167 families. For the microsatellites, the ABI Prism Linkage Mapping Set version 2, with 402 microsatellite markers, was used, and, for the SNPs, the Early Access Affymetrix Mapping 10K array was used. Our results show that the presence of linkage disequilibrium (LD) among SNPs can lead to inflated LOD scores, and this seems to be an artifact due to the assumption of linkage equilibrium that is required by the current genetic-linkage software. After excluding SNPs with high LD, we found a number of new LOD-score peaks with values of at least 2.0 that were not found by the microsatellite markers: chromosome 8, with a maximum model-free LOD score of 2.2; chromosome 2, with a LOD score of 2.1; chromosome 6, with a LOD score of 4.2; and chromosome 12, with a LOD score of 3.9. The LOD scores for chromosomes 6 and 12 are difficult to interpret, because they occurred only at the extreme ends of the chromosomes. The greatest gain provided by the SNP markers was a large increase in the linkage information content, with an average information content of 61% for the SNPs, versus an average of 41% for the microsatellite markers. The strengths and weaknesses of microsatellite versus SNP markers are illustrated by the results of our genome linkage scans.

Chromosome Mapping↗
PubMed2001

Microsphere-based molecular cytometry.

Flow cytometry has recently gained attention as a powerful high-throughput technology for the analysis of molecular interactions. This recognition is mostly because of the development and use of fluorescently distinct microsphere populations. Recent applications of this technology have included detecting analytes, monitoring enzymatic activity, and genotyping SNP. This article expands the list of applications by highlighting nuclear receptor-coactivator peptide binding studies. Nuclear receptors initiate gene transcription by binding to a wide variety of accessory factors. Small molecule ligand binding by nuclear receptors modulates the interaction with some of these cofactors. Because a typical cell contains numerous cofactors, multiplexed analysis of nuclear receptor binding to coactivator peptide-coupled microspheres is a valuable approach to rapidly assess this network of complex interactions. Understanding how ligand binding regulates these interactions should help in the design of improved small molecule therapeutics. The latter part of this article has focused on the recent application of multiplexing protein:protein interactions. Developing protein interaction networks will be paramount as a greater understanding of the human genome is developed. In the future, flow cytometric analysis of fluorescent microspheres may be applied to any array of interacting molecules and may have broader applications in the area of proteomics.

Binding Sites↗
PubMed2002

Genotyping of drug targets: a method to predict adverse drug reactions?

In the last decades, advances in molecular biology have led to modern pharmacogenetics, which started as a science that focused on investigating drug metabolising enzymes and genetic determinants of pharmacokinetic variability. As more evidence has become available on the structure of drug targets and the genes coding for them, increasing attention has been directed towards pharmacodynamic explanations of variability in therapeutic response as well as in the risk for adverse drug reactions. Traditionally, genetic drug safety research has focused on variations in single genes whose functions are known to be related to given adverse drug reactions. A few such examples, malignant hyperthermia, the long QT syndrome, venous thromboembolic disease, tardive dyskinesia, and drug addiction, are presented in this article. In the future, results from the Human Genome Project together with tools such as DNA microarray technology, high-output screening systems and advanced bioinformatics, will permit a more thorough elucidation than is currently possible of the genetic components of adverse drug reactions. By screening for a large number of single nucleotide polymorphisms (SNPs), SNP patterns associated with adverse drug reactions can be discovered even though the functions of the SNPs as such are completely unknown. On the basis of these findings, it can be expected that pharmacogenetic research will identify situations where a drug should be avoided in certain individuals in order to reduce the risk for adverse drug reactions. If so, it will be feasible to use molecular diagnostics to select drugs that are safe for the individual patient.

Drug-Related Side Effects and Adverse Reactions↗
PubMed2005

Identification of functional candidate genes for body composition by expression analyses and evidencing impact by association analysis and mapping.

This study aims to identify hepatic genes affecting traits related to muscularity and obesity by combining expression analyses, association studies, and gene mapping. Functional candidate genes with trait-associated expression were obtained by hybridising custom made application-specific cDNA microarrays with targets of discordant sib pairs of a porcine experimental population. Out of 238 genes addressed, nine genes were regulated by the factor>or=2 between the sib pairs. Differential gene expression was independently confirmed for selected genes by real time RT-PCR. Transcript levels of four genes (APOH, PEDF, SLCO1B3, TBG) were significantly different between the phenotype groups. Screening for trait associated markers within TBG and APOH by comparative sequencing of discordant sib pairs revealed a SNP at position nt 778 (A>C) (N229H) of TBG. No polymorphism in APOH was detected. Association analysis confirmed effects of TBG on carcass traits statistically. Allocating TBG to a QTL region on chromosome X revealed genetic evidence for the effect. Moreover, our results indicate that there are probably two polymorphisms segregating-one (N229H) altering binding capability of TBG and another still to be detected altering the transcription rate of TBG.

Analysis of Variance↗
PubMed2005

LightTyper platform for high-throughput clinical genotyping.

DNA sequence variations due to single nucleotide changes or polymorphisms (SNPs) have demonstrated an association with certain diseases as causative agents or surrogate biomarkers. Identification and genotyping of SNPs requires reliable and robust technologies. Multiple genotyping platforms are available to detect SNPs. Although many of these platforms meet the requirements of the research environment, technologies have also emerged for high-throughput clinical genotyping as well. The LightTyper is one such platform, providing SNP identification by employing melting curve analysis of fluorescently labeled probes. The LightTyper has been used to identify SNPs associated with myocardial infarction, developing and validating assays for approximately 100 SNPs in 30 candidate genes. The LightTyper is also amenable to the use of assays already developed for the LightCycler, which is widely used in clinical laboratories. The initial experience presented here suggests the potential use of the LightTyper for high-throughput clinical genotyping.

Animals↗
PubMed2005

Design of an automated multicapillary instrument with fraction collection for DNA mutation discovery by constant denaturant capillary electrophoresis (CDCE).

A fundamental goal ingenomics is the discovery of genetic variation that contributes to disease states or to differential drug responses. Single nucleotide polymorphism (SNP) detection has been the focus of much attention in the study of genetic variation over the last decade. These SNPs typically occur at a frequency greater than 1% in the human genome. Recently, low-frequency alleles are also being increasingly recognized as critical to obtain an improved understanding of the correlation between genetic variation and disease. Although many methods have been reported for the discovery and scoringof SNPs, sensitive, automated, and cost-effective methods and platforms for the discovery of low-frequency alleles are not yet readily available. We describe here an automated multicapillary instrument for high-throughput detection of low-frequency alleles from pooled samples using constant denaturant capillary electrophoresis. The instrument features high optical sensitivity (1 x 10(-12) M fluorescein detection limit), precise and stable temperature control (+/- 0.01degrees C), and automation for sample delivery, injection, matrix replacement, and fraction collection. The capillary array is divided into six groups of four capillaries, each of which can be independently set at any temperature ranging from room temperature to 90 degrees C. The key performance characteristics of the instrument are reported.

Antigens, CD↗