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Results for “Oligonucleotide Array Sequence Analysis”

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PubMed2006

[With genechip technique to investigate HLA-DQB1 gene polymorphisms in south and north regions of China].

OBJECTIVE: To research and compare HLA-DQB1 gene frequency(GF) and polymorphism distribution between south and north population of Chinese in China. METHODS: Combining PCR-sequence specific primers(SSP) and sequence specific oligonucleotide probe(SSOP) techniques and DNA Microarray Kit for HLA-DQB1 Low Res Genotyping from Shenzhen Yi-Shengtang Biological LTD. Co. was used to type HLA-DQB1 gene polymorphisms of 700 individuals living in south China and 320 individuals in north China. RESULTS: We inspected 10 alleles of HLA-DQB1 and got a series of comprehensive and accurate statistic data. CONCLUSION: It is tested that HLA-DQB1*02, 05, 0601, 0602, 0603 gene frequencies are different obviously(P<0.05) between south and north Chinese. And those data will be useful to kinds of research associated with disease relevant and anthropology research.

Alleles↗
PubMed2006

Global assessment of cross-hybridization for oligonucleotide arrays.

Cross-hybridization is the tendency for chains of nucleic acids to bind to other chains of nucleic acids that have similar but not identical sequences. This has the potential to make the interpretation of microarray experiments difficult since intensity at a spot on the array does not simply depend on the quantity of target in the sample. We propose a method for evaluating the extent of cross-hybridization in oligonucleotide arrays for data arising from a typical microarray experiment. We show that the level of cross-hybridization can be quite substantial. We argue that this makes the interpretation of the difference calls provided by MAS 5.0 difficult.

CD28 Antigens↗
PubMed2006

Noise reduction from genotyping microarrays using probe level information.

Genomic copy number change is one of the important phenomenon observed in cancer and other genetic disorders. Recently oligonucleotide microarrays have been used to analyze changes in the copy number. Although high density microarrays provide genome wide useful data on copy number, they are often associated with substantial amount of experimental noise that could affect the performance of the analyses. We used the high density oligonucleotide genotyping microarrays in our experiments that uses redundant probe tiling approach for individual SNPs. We found that the noise in the genotyping microarray data is associated with several experimental steps during target preparation and devised an algorithm that takes into account those experimental parameters. Additionally, defective probes that do not hybridize well to the target and therefore could not be modified inherently were detected and omitted automatically by using the algorithm. When we applied the algorithm to actual datasets, we could reduce the noise substantially without compressing the dynamic range. Additionally, combinatorial use of our noise reduction algorithm and conventional breakpoint detection algorithm successfully detected a microamplification of c-myc which was overlooked in the raw data. The algorithm described here is freely available with the software upon request to all non-profit researchers.

Adenocarcinoma↗
PubMed2006

A novel integrated strategy (full length gene targeting) for mRNA accessible site tagging combined with microarray hybridization/RNase H cleavage to screen effective antisense oligonucleotides.

PURPOSE: Down regulation of targeted gene by antisense oligonucleotides (ASOs) has been an effective approach for molecular therapy and the study of gene function. However, it is difficult to find optimal and effective ASOs. We describe a novel integrated strategy called full length gene targeting (FLGT), involving mRNA accessible site tagging combined with microarray hybridization/RNase H cleavage for screening effective ASOs in full length of target gene. METHODS: Initially, transcripts representing mRNA (cRNA) were hybridized with randomized oligonucleotides library, then oligonucleotides tags were sequenced, aligned to target mRNA, and found to be able to precisely define the accessible sites of the mRNA by TargetFinder softeware. Further, selected ASO probes were synthesized and used to construct microarrays. Target mRNA labeled alpha-(32)P-UTP was hybridized to the microarrays, and the substrate heteroduplexes were followed by RNase H catalytic reaction on microarrays. Those ASOs with strong signal and shorter T(1/2) (time of 50% heteroduplex cleavage by RNase H) were selected in the combinatorial assays. Survivin, an inhibitor of apoptosis, was chosen as a target to screen ASOs by the FLGT process. RESULTS: Using the integrated strategy, five ASOs against survivin were selected and showed significant down regulation of survivin expression and inhibition of tumor cells growth in vitro. Furthermore, one ASO was used to further investigate its antitumor activity on Human hepatocellular carcinoma (HCC) orthotopic transplant model in mice. CONCLUSIONS: This study demonstrated that FLGT is useful for screening effective ASOs. FLGT may become a useful tool for screening more effective ASOs in full length of target gene.

Animals↗
PubMedDate not supplied

Photolithographic synthesis of high-density oligonucleotide probe arrays.

High-density DNA probe arrays provide a massively parallel approach to nucleic acid sequence analysis that is transforming gene-based biomedical research and diagnostics. Light-directed combinatorial oligonucleotide synthesis has enabled the large-scale production of GeneChip probe arrays which contain several hundred of thousand oligonucleotide sequences on glass "chips" about one cm2 in size. Due to their very high information content, GeneChip probe arrays are finding widespread use in the hybridization-based detection and analysis of mutations and polymorphisms ("genotyping"), and in a wide range of gene expression studies. The manufacturing process integrates solid-phase photochemical oligonucleotide synthesis with lithographic techniques adapted from the microelectronics industry. The present-generation methodology employs MeNPOC photo-activatable nucleoside monomers with proximity photolithography, and is currently capable of printing individual 10 microns 2 probe features at a density of 10(6) probes/cm2.

DNA Probes↗
PubMed1994

Light-generated oligonucleotide arrays for rapid DNA sequence analysis.

In many areas of molecular biology there is a need to rapidly extract and analyze genetic information; however, current technologies for DNA sequence analysis are slow and labor intensive. We report here how modern photolithographic techniques can be used to facilitate sequence analysis by generating miniaturized arrays of densely packed oligonucleotide probes. These probe arrays, or DNA chips, can then be applied to parallel DNA hybridization analysis, directly yielding sequence information. In a preliminary experiment, a 1.28 x 1.28 cm array of 256 different octanucleotides was produced in 16 chemical reaction cycles, requiring 4 hr to complete. The hybridization pattern of fluorescently labeled oligonucleotide targets was then detected by epifluorescence microscopy. The fluorescence signals from complementary probes were 5-35 times stronger than those with single or double base-pair hybridization mismatches, demonstrating specificity in the identification of complementary sequences. This method should prove to be a powerful tool for rapid investigations in human genetics and diagnostics, pathogen detection, and DNA molecular recognition.

Base Sequence↗
PubMed2005

Identification of genes involved in Ca2+ ionophore A23187-mediated apoptosis and demonstration of a high susceptibility for transcriptional repression of cell cycle genes in B lymphoblasts from a patient with Scott syndrome.

BACKGROUND: In contrast to other agents able to induce apoptosis of cultured cells, Ca2+ ionophore A23187 was shown to elicit direct activation of intracellular signal(s). The phenotype of the cells derived from patients having the hemorrhagic disease Scott syndrome, is associated with an abnormally high proportion of apoptotic cells, both in basal culture medium and upon addition of low ionophore concentrations in long-term cultures. These features are presumably related to the mutation also responsible for the defective procoagulant plasma membrane remodeling. We analyzed the specific transcriptional re-programming induced by A23187 to get insights into the effect of this agent on gene expression and a defective gene regulation in Scott cells. RESULTS: The changes in gene expression upon 48 hours treatment with 200 nM A23187 were measured in Scott B lymphoblasts compared to B lymphoblasts derived from the patient's daughter or unrelated individuals using Affymetrix microarrays. In a similar manner in all of the B cell lines, results showed up-regulation of 55 genes, out of 12,000 represented sequences, involved in various pathways of the cell metabolism. In contrast, a group of 54 down-regulated genes, coding for histones and proteins involved in the cell cycle progression, was more significantly repressed in Scott B lymphoblasts than in the other cell lines. These data correlated with the alterations of the cell cycle phases in treated cells and suggested that the potent effect of A23187 in Scott B lymphoblasts may be the consequence of the underlying molecular defect. CONCLUSION: The data illustrate that the ionophore A23187 exerts its pro-apoptotic effect by promoting a complex pattern of genetic changes. These results also suggest that a subset of genes participating in various steps of the cell cycle progress can be transcriptionally regulated in a coordinated fashion. Furthermore, this research brings a new insight into the defect in cultured Scott B lymphoblasts, leading to hypothesize that a mutated gene plays a role not only in membrane remodeling but also in signal transduction pathway(s) leading to altered transcriptional regulation of cell cycle genes.

Apoptosis↗
PubMed2007

Whole genome genotyping technologies on the BeadArray platform.

The ability to simultaneously genotype hundreds of thousands of single-nucleotide polymorphisms (SNPs) in a single assay has recently become feasible due to innovative combinations of assay and array platform multiplexing. In this review, we describe the development of the Infinium whole genome genotyping technology and the BeadArray platform. We discuss the automated use and performance of a series of genotyping BeadChips, including data quality, technology scalability, and flexibility in designing array content. We describe high-density tag SNP-based Bead-Chips and various multi-sample BeadChip configurations with their respective applications. These technologies are enabling large-scale whole genome association studies that have the potential to revolutionize our ability to detect common genetic variants with a significant role in identifying disease-associated loci, proteins, biomarkers, and pharmacogenomic responses.

Biotechnology↗
PubMed2005

BAC-based PCR fragment microarray: high-resolution detection of chromosomal deletion and duplication breakpoints.

The introduction of molecular techniques in conjunction with classical cytogenetic methods has in recent years greatly improved the diagnostic potential for chromosomal abnormalities. In particular, microarray-comparative genomic hybridization (CGH) based on the use of BAC clones promises a sensitive strategy for the detection of DNA copy-number changes on a genomewide scale, offering a resolution as high as >30,000 "bands" (as defined by the number of BACs within the currently highest-density BAC array) [Ishkanian et al., 2004]. We have tested the possibility of further increasing this resolution using PCR fragments generated from individual BAC clones. Using this approach, we have efficiently defined the proximal and distal breakpoints in two cytogenetic cases, one duplication and one deletion, to within 5-20 kb. The results support the potential use of BAC-based PCR fragments to further improve the resolution of the microarray-CGH strategy by an order of magnitude.

Chromosome Aberrations↗
PubMed2003

Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach.

Partial least squares discriminant analysis (PLS-DA) is a partial least squares regression of a set Y of binary variables describing the categories of a categorical variable on a set X of predictor variables. It is a compromise between the usual discriminant analysis and a discriminant analysis on the significant principal components of the predictor variables. This technique is specially suited to deal with a much larger number of predictors than observations and with multicollineality, two of the main problems encountered when analysing microarray expression data. We explore the performance of PLS-DA with published data from breast cancer (Perou et al. 2000). Several such analyses were carried out: (1) before vs after chemotherapy treatment, (2) estrogen receptor positive vs negative tumours, and (3) tumour classification. We found that the performance of PLS-DA was extremely satisfactory in all cases and that the discriminant cDNA clones often had a sound biological interpretation. We conclude that PLS-DA is a powerful yet simple tool for analysing microarray data.

Data Interpretation, Statistical↗
PubMed2006

A review of rapid methods for the analysis of mycotoxins.

An overview is presented of the analysis of mycotoxins by rapid methods such as: enzyme linked immunosorbent assay (ELISA); flow through membrane based immunoassay; immunochromatographic assay; fluorometric assay with immunoaffinity clean-up column or with a solid phase extraction clean-up column; and fluorescence polarization method. These methods are currently commercially available and are reliable, rapid methods. This review focuses on the basic principle of each rapid method as well as advantages and limitations of each method. Additionally, we address other emerging technologies of potential application in the analysis of mycotoxins.

Chromatography, Affinity↗
PubMed2005

Partial least squares dimension reduction for microarray gene expression data with a censored response.

An important application of DNA microarray technologies involves monitoring the global state of transcriptional program in tumor cells. One goal in cancer microarray studies is to compare the clinical outcome, such as relapse-free or overall survival, for subgroups of patients defined by global gene expression patterns. A method of comparing patient survival, as a function of gene expression, was recently proposed in [Bioinformatics 18 (2002) 1625] by Nguyen and Rocke. Due to the (a) high-dimensionality of microarray gene expression data and (b) censored survival times, a two-stage procedure was proposed to relate survival times to gene expression profiles. The first stage involves dimensionality reduction of the gene expression data by partial least squares (PLS) and the second stage involves prediction of survival probability using proportional hazard regression. In this paper, we provide a systematic assessment of the performance of this two-stage procedure. PLS dimension reduction involves complex non-linear functions of both the predictors and the response data, rendering exact analytical study intractable. Thus, we assess the methodology under a simulation model for gene expression data with a censored response variable. In particular, we compare the performance of PLS dimension reduction relative to dimension reduction via principal components analysis (PCA) and to a modified PLS (MPLS) approach. PLS performed substantially better relative to dimension reduction via PCA when the total predictor variance explained is low to moderate (e.g. 40%-60%). It performed similar to MPLS and slightly better in some cases. Additionally, we examine the effect of censoring on dimension reduction stage. The performance of all methods deteriorates for a high censoring rate, although PLS-PH performed relatively best overall.

Algorithms↗
PubMed2003

Evanescent resonator chips: a universal platform with superior sensitivity for fluorescence-based microarrays.

In the present paper, we introduce for the first time a novel generation of a universal fluorescence transducer, the so-called evanescent resonator (ER) platform. The device comprises a transparent substrate and a thin dielectric surface layer containing sub-micron corrugated structures. The ER chip exhibits an inherent physical signal amplification due to confinement of excitation energy in the thin surface layer. Energy confinement is based on interference effects created by the abnormal reflection geometry and leads to efficient excitation of surface-bound fluorophores in the evanescent field of the chip. The evanescent resonator platform has the potential to increase the fluorescence yield of labelled biomolecules to more than 100-fold when compared with conventional microarray chips. The new ER device has been developed for analysis of nucleic acids from different species. However, it can be used with all kinds of biomolecular affinity systems. The platform combines superior sensitivity with exceptional reproducibility and ease of use. The chips are compatible with commercially available laser scanners, confocal microscopes, and portable or miniaturised CCD read-out equipment.

Equipment Design↗
PubMed2004

Nanospheres for DNA separation chips.

We report here a technology to carry out separations of a wide range of DNA fragments with high speed and high resolution. The approach uses a nanoparticle medium, core-shell type nanospheres, in conjunction with a pressurization technique during microchip electrophoresis. DNA fragments up to 15 kilobase pairs (kbp) were successfully analyzed within 100 s without observing any saturation in migration rates. DNA fragments migrate in the medium while maintaining their characteristic molecular structure. To guarantee effective DNA loading and electrofocusing in the nanosphere solution, we developed a double pressurization technique. Optimal pressure conditions and concentrations of packed nanospheres are critical to achieve improved DNA separations.

DNA↗
PubMed2002

Complex-trait genetics: emergence of multivariate strategies.

Complex traits, including many disease-related traits, are influenced by multiple genes. Bivariate approaches that associate one gene with one trait are yielding to multivariate methods to synthesize the effects of multiple genes, integrate results across independent studies, and aid in the identification of coordinated pathways and interactions between loci.

Animals↗