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Results for “Oligonucleotide Array Sequence Analysis”

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PubMed1999

Resequencing and mutational analysis using oligonucleotide microarrays.

Oligonucleotide microarray (DNA chip)-based hybridization analysis is a promising new technology which potentially allows rapid and cost-effective screens for all possible mutations and sequence variations in genomic DNA. Here, I review current strategies and uses for DNA chip-based resequencing and mutational analysis, the underlying principles of experimental designs, and future efforts to improve the sensitivity and specificity of chip-based assays.

Animals↗
PubMed2002

Two efficient polymeric chemical platforms for oligonucleotide microarray preparation.

In this report we describe two robust procedures for oligonucleotide microarray preparation based on polymeric coatings. The proposed chemical approaches include: 1) a glass functionalisation step with appropriate silanes (gamma-aminopropyltriethoxysilane-APTES or 3-glycidoxypropyltrimethoxysilane-GOPS), 2) a coating step using polymers (poly-L-Lysine or poly(acrylic acid-co-acrylamide) copolymer) covalently bound to the modified glass and 3) a surface activation step to allow for the attachment of amino-modified oligonucleotides. Results obtained using these chemistries in oligo microarray preparation show: 1) an overall high loading capacity and availability to hybridisation against targets, 2) a good uniformity, 3) resistance to consecutive probing/ stripping cycles, 4) stability to thermal cycles, 5) effectiveness in hybridisation-mediated mutation detection procedures and 6) the possibility to perform enzymatic reactions, such as ligation.

Acrylamides↗
PubMed2005

Fabrication of DNA microarrays onto poly(methyl methacrylate) with ultraviolet patterning and microfluidics for the detection of low-abundant point mutations.

We have developed a simple ultraviolet (UV)-photomodification protocol using poly(methyl methacrylate) and polycarbonate to produce functional scaffolds consisting of carboxylic groups that allow covalent attachment of amine-terminated oligonucleotide probes to these surface groups through carbodiimide coupling. Use of the photomodification procedure coupled to microfluidics allowed for the rapid generation of medium-density DNA microarrays. The method reported herein involves the use of poly(dimethylsiloxane) microchannels reversibly sealed to photomodified poly(methyl methacrylate) surfaces to serve as stencils for patterning the oligonucleotide probes. After array construction, the poly(dimethylsiloxane) stencil is rotated 90 degrees to allow interrogation of the array using microfluidics. The photomodification process for array fabrication involves only three steps: (1) broadband UV exposure of the polymer surface, (2) carbodiimide coupling of amine-terminated oligonucleotide probes to the surface (via an amide bond), and (3) washing of the surface. The density of probes attached to this activated surface was found to be approximately 41pmolcm(-2), near the steric-saturation limit for short oligonucleotide probes. We demonstrate the use of this procedure for screening multiple KRAS2 mutations possessing high diagnostic value for colorectal cancers. A ligase detection reaction/universal array assay was carried out using parallel detection of two different low-abundant DNA point mutations in KRAS2 oncogenes with the allelic composition evaluated at one locus. Four zip code probes immobilized onto the poly(methyl methacrylate) surface directed allele-specific ligation products containing mutations in the KRAS2 gene (12.2D, 12.2A, 12.2V, and 13.4D) to the appropriate address of a universal array with minimal amounts of cross-hybridization or misligation.

Adsorption↗
PubMed2005

Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms.

The growth in popularity of RNA expression microarrays has been accompanied by concerns about the reliability of the data especially when comparing between different platforms. Here, we present an evaluation of the reproducibility of microarray results using two platforms, Affymetrix GeneChips and Illumina BeadArrays. The study design is based on a dilution series of two human tissues (blood and placenta), tested in duplicate on each platform. The results of a comparison between the platforms indicate very high agreement, particularly for genes which are predicted to be differentially expressed between the two tissues. Agreement was strongly correlated with the level of expression of a gene. Concordance was also improved when probes on the two platforms could be identified as being likely to target the same set of transcripts of a given gene. These results shed light on the causes or failures of agreement across microarray platforms. The set of probes we found to be most highly reproducible can be used by others to help increase confidence in analyses of other data sets using these platforms.

Adult↗
PubMed2004

Evaluation of quality-control criteria for microarray gene expression analysis.

BACKGROUND: Development of quality-control criteria to ensure reproducibility of microarray results for potential clinical application is still in its infancy. METHODS: In the present studies we developed quality-control criteria and evaluated their effect in microarray data analysis using total RNA from cell lines, frozen tumors, and a commercially available reference RNA. Quality-control criteria such as A(260)/A(280) ratios, percentage of rRNA, and median size of cDNA and cRNA synthesis products were evaluated for robustness in microarray analysis. Furthermore, precision studies using a reference material were performed on the Affymetrix HG-U133A high-density oligonucleotide microarrays. The same reference RNA sample was examined in 16 different chips run on 2 different days in the four different modules of the Affymetrix fluidics workstation. Fresh and frozen fragmented cRNAs were also compared. An ANOVA model was fit to identify the main sources of variation. RESULTS: Good-quality samples showed >30% rRNA in the electropherograms and cDNA and cRNA synthesis products with median sizes of 2.0 and 3.0 kb, respectively. Precision studies showed that the main source of variation was the day-to-day variability, minimally affecting hybridization exogenous control genes. Altogether, the results showed that the Affymetrix Genechip system is highly reproducible when RNA that meet the quality-control criteria are used (overall P >0.01). CONCLUSIONS: These results confirm the need to establish defined quality-control criteria for sample quality to distinguish between analytical and biological variability.

Analysis of Variance↗
PubMed2005

Transformation of expression intensities across generations of Affymetrix microarrays using sequence matching and regression modeling.

The utility of previously generated microarray data is severely limited owing to small study size, leading to under-powered analysis, and failure of replication. Multiplicity of platforms and various sources of systematic noise limit the ability to compile existing data from similar studies. We present a model for transformation of data across different generations of Affymetrix arrays, developed using previously published datasets describing technical replicates performed with two generations of arrays. The transformation is based upon a probe set-specific regression model, generated from replicate measurements across platforms, performed using correlation coefficients. The model, when applied to the expression intensities of 5069 shared, sequence-matched probe sets in three different generations of Affymetrix Human oligonucleotide arrays, showed significant improvement in inter generation correlations between sample-wide means and individual probe set pairs. The approach was further validated by an observed reduction in Euclidean distance between signal intensities across generations for the predicted values. Finally, application of the model to independent, but related datasets resulted in improved clustering of samples based upon their biological, as opposed to technical, attributes. Our results suggest that this transformation method is a valuable tool for integrating microarray datasets from different generations of arrays.

Algorithms↗
PubMed2005

An adaptive method for cDNA microarray normalization.

BACKGROUND: Normalization is a critical step in analysis of gene expression profiles. For dual-labeled arrays, global normalization assumes that the majority of the genes on the array are non-differentially expressed between the two channels and that the number of over-expressed genes approximately equals the number of under-expressed genes. These assumptions can be inappropriate for custom arrays or arrays in which the reference RNA is very different from the experimental samples. RESULTS: We propose a mixture model based normalization method that adaptively identifies non-differentially expressed genes and thereby substantially improves normalization for dual-labeled arrays in settings where the assumptions of global normalization are problematic. The new method is evaluated using both simulated and real data. CONCLUSIONS: The new normalization method is effective for general microarray platforms when samples with very different expression profile are co-hybridized and for custom arrays where the majority of genes are likely to be differentially expressed.

Calibration↗
PubMed2006

Gene expression microarray data analysis of decidual and placental cell differentiation.

Gene expression analysis using DNA microarray approaches have provided new insights into the physiology and pathophysiology of many biological processes. These include identification of genetic programs and pathways that underlie cell and tissue differentiation and gene expression programs responsive to genetic perturbations, drugs, toxins, and infectious agents. In this chapter, we present methods for the analysis of microarray data using earlier investigations from our laboratory as examples of how gene expression patterns for cellular differentiation may be detected and analyzed for biological significance and how regulated genes may be classified into functional categories and pathways.

Animals↗
PubMed2005

An exciplex-based, target-assembled fluorescence system with inherently low background to probe for specific nucleic acid sequences.

A novel detection technique, called ExciProbes, has been developed to proof-of-principle level for DNA oligonucleotides. The new approach is based on the use of two short oligonucleotides complementary to a target nucleic acid sequence. Each short-probe oligonucleotide bears the separated parts of a new class of fluorescence detector, an exciplex. These isolated parts of the detector have no inherent signal at the detection wavelength. They are designed to detect biotarget by being assembled by the target itself to give a new molecular entity (the exciplex), with a characteristic fluorescence and very large Stokes shift (typically >150 nm). The technique is not related to fluorescence resonance energy transfer, and can potentially resolve to 1 base pair. ExciProbes can detect single or double mutations in a short sequence of DNA, and can be combined with temperature-filtering to provide allelic discrimination of single nucleotide polymorphism analysis. Compared to other fluorophore systems that have large backgrounds (typically >60%), ExciProbes show backgrounds of <1% under comparable conditions, and can be used with DNA, RNA, or synthetic nucleic acids such as locked nucleic acid.

DNA Mutational Analysis↗
PubMed2005

Integrating probe-level expression changes across generations of Affymetrix arrays.

There is an urgent need for bioinformatic methods that allow integrative analysis of multiple microarray data sets. While previous studies have mainly concentrated on reproducibility of gene expression levels within or between different platforms, we propose a novel meta-analytic method that takes into account the vast amount of available probe-level information to combine the expression changes across different studies. We first show that the comparability of relative expression changes and the consistency of differentially expressed genes between different Affymetrix array generations can be considerably improved by determining the expression changes at the probe-level and by considering the latest information on probe-level sequence matching instead of the probe annotations provided by the manufacturer. With the improved probe-level expression change estimates, data from different generations of Affymetrix arrays can be combined more effectively. This will allow for the full exploitation of existing results when designing and analyzing new experiments.

Animals↗
PubMed1999

High density synthetic oligonucleotide arrays.

Experimental genomics involves taking advantage of sequence information to investigate and understand the workings of genes, cells and organisms. We have developed an approach in which sequence information is used directly to design high-density, two-dimensional rays of synthetic oligonucleotides. The GeneChipe probe arrays are made using spatially patterned, light-directed combinatorial chemical synthesis and contain up to hundreds of thousands of different oligonucleotides on a small glass surface. The arrays have been designed and used for quantitative and highly parallel measurements of gene expression, to discover polymorphic loci and to detect the presence of thousands of alternative alleles. Here, we describe the fabrication of the arrays, their design and some specific applications to high-throughput genetic and cellular analysis.

Animals↗
PubMed2005

Rapid diagnosis of bacterial sepsis with PCR amplification and microarray hybridization in 16S rRNA gene.

In this study, blood culture and PCR-microarray analysis were used to examine 172 cases of suspected septicemia. Primers and oligonucleotide probes, based on the sequences of bacterial 16SrRNA gene, were arrayed by imprinting on microarray slides. Blood specimens collected from 172 cases of suspected septicemia were cultured and then tested separately by PCR for the bacterial 16S rRNA. Of the 172 clinical cases, 17 cases tested positive by PCR. The number of positives identified by PCR (9.88%) was significantly higher than the number of positives identified by the blood culture (4.65%). When blood culture was used as control, the sensitivity of PCR was 100%, the specificity was 97.85%, and the index of accurate diagnosis was 0.979. When the 17 PCR positive specimens were further analyzed by hybridization against the microarrays, five were found to be probe positive for E. coli, four were positive for S. epidermidis, four were positive for CoNS, and two were positive for Bacillus and Propionibacterium, respectively. In the eight specimens showing positive results by both PCR and blood culture, the species determined by microarray analysis corresponded with the result obtained from blood culture. Detection of the bacterial 16SrRNA genes in clinical specimens by PCR and microarray analysis can be used to accurately diagnose neonatal sepsis. This method has a higher sensitivity and specificity than blood culture and can provide a rapid way for the etiological diagnosis of neonatal septicemia.

Bacillus↗
PubMed2004

Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.

MOTIVATION: The most commonly utilized microarrays for mRNA profiling (Affymetrix) include 'probe sets' of a series of perfect match and mismatch probes (typically 22 oligonucleotides per probe set). There are an increasing number of reported 'probe set algorithms' that differ in their interpretation of a probe set to derive a single normalized 'signal' representative of expression of each mRNA. These algorithms are known to differ in accuracy and sensitivity, and optimization has been done using a small set of standardized control microarray data. We hypothesized that different mRNA profiling projects have varying sources and degrees of confounding noise, and that these should alter the choice of a specific probe set algorithm. Also, we hypothesized that use of the Microarray Suite (MAS) 5.0 probe set detection p-value as a weighting function would improve the performance of all probe set algorithms. RESULTS: We built an interactive visual analysis software tool (HCE2W) to test and define parameters in Affymetrix analyses that optimize the ratio of signal (desired biological variable) versus noise (confounding uncontrolled variables). Five probe set algorithms were studied with and without statistical weighting of probe sets using the MAS 5.0 probe set detection p-values. The signal-to-noise ratio optimization method was tested in two large novel microarray datasets with different levels of confounding noise, a 105 sample U133A human muscle biopsy dataset (11 groups: mutation-defined, extensive noise), and a 40 sample U74A inbred mouse lung dataset (8 groups: little noise). Performance was measured by the ability of the specific probe set algorithm, with and without detection p-value weighting, to cluster samples into the appropriate biological groups (unsupervised agglomerative clustering with F-measure values). Of the total random sampling analyses, 50% showed a highly statistically significant difference between probe set algorithms by ANOVA [F(4,10) > 14, p < 0.0001], with weighting by MAS 5.0 detection p-value showing significance in the mouse data by ANOVA [F(1,10) > 9, p < 0.013] and paired t-test [t(9) = -3.675, p = 0.005]. Probe set detection p-value weighting had the greatest positive effect on performance of dChip difference model, ProbeProfiler and RMA algorithms. Importantly, probe set algorithms did indeed perform differently depending on the specific project, most probably due to the degree of confounding noise. Our data indicate that significantly improved data analysis of mRNA profile projects can be achieved by optimizing the choice of probe set algorithm with the noise levels intrinsic to a project, with dChip difference model with MAS 5.0 detection p-value continuous weighting showing the best overall performance in both projects. Furthermore, both existing and newly developed probe set algorithms should incorporate a detection p-value weighting to improve performance. AVAILABILITY: The Hierarchical Clustering Explorer 2.0 is available at http://www.cs.umd.edu/hcil/hce/ Murine arrays (40 samples) are publicly available at the PEPR resource (http://microarray.cnmcresearch.org/pgadatatable.asp http://pepr.cnmcresearch.org Chen et al., 2004).

Cluster Analysis↗
PubMed2004

Microarray data analysis and mining.

DNA microarray is an innovative technology for obtaining information on gene function. Because it is a high-throughput method, computational tools are essential in data analysis and mining to extract the knowledge from experimental results. Filtering procedures and statistical approaches are frequently combined to identify differentially expressed genes. However, obtaining a list of differentially expressed genes is only the starting point because an important step is the integration of differential expression profiles in a biological context, which is a hot topic in data mining. In this chapter an integrated approach of filtering and statistical validation to select trustable differentially expressed genes is described together with a brief introduction on data mining focusing on the classification of co-regulated genes on the basis of their biological function.

Cluster Analysis↗
PubMed2005

Array-based mutation detection of BRCA1 using direct probe/target hybridization.

We describe here an efficient microarray-based multiplex assay to detect Korean-specific mutations in breast cancer susceptibility gene BRCA1 using direct probe/target hybridization. Allele-specific oligonucleotides were covalently immobilized on an aldehyde-activated glass slide to prepare an oligonucleotide chip. From a wild-type sample, a two-step method was used to generate labeled multiplex polymerase chain reaction (PCR) amplification products of genomic regions containing the mutation sites. Amino allyl-dUTP, an amine-modified nucleotide, was incorporated during multiplex PCR amplifications and a monofunctional form of cyanine 3 dye was subsequently attached to the reactive amine group of the PCR products. Hybridization of the labeled PCR products to the oligonucleotide chip successfully identified all of the genotypes for the selected mutation sites. This work demonstrates that oligonucleotides chip-based analysis is a good candidate for efficient clinical testing for BRCA1 mutations when combined with the indirect strategy to prepare labeled target samples.

BRCA1 Protein↗
PubMed2006

OligoSpawn: a software tool for the design of overgo probes from large unigene datasets.

BACKGROUND: Expressed sequence tag (EST) datasets represent perhaps the largest collection of genetic information. ESTs can be exploited in a variety of biological experiments and analysis. Here we are interested in the design of overlapping oligonucleotide (overgo) probes from large unigene (EST-contigs) datasets. RESULTS: OLIGOSPAWN is a suite of software tools that offers two complementary services, namely (1) the selection of "unique" oligos each of which appears in one unigene but does not occur (exactly or approximately) in any other and (2) the selection of "popular" oligos each of which occurs (exactly or approximately) in as many unigenes as possible. In this paper, we describe the functionalities of OLIGOSPAWN and the computational methods it employs, and we report on experimental results for the overgo probes designed with it. CONCLUSION: The algorithms we designed are highly efficient and capable of processing unigene datasets of sizes on the order of several tens of Mb in a few hours on a regular PC. The software has been used to design overgo probes employed to screen a barley BAC library (Hordeum vulgare). OLIGOSPAWN is freely available at http://oligospawn.ucr.edu/.

Base Sequence↗
PubMed2004

[Dynamic pattern of gene expression in rat hearts responding to transient ischemia/reperfusion detected by cDNA microarray and cluster analysis].

OBJECTIVE: To analyze the pattern of gene expression programs during rat myocardial ischemia/reperfusion at multiple time points. METHODS: Rat model of myocardial ischemia/reperfusion was established by repeating the occlusion and relaxation of left coronary artery. cDNA microarray was used to analyze the pattern of gene expression programs in rat myocardium at 1, 3, 6, 12, 24 hours after reperfusion. SOM cluster analysis was used to identify different cluster of genes in which each cluster had similar expression pattern. RESULTS: Altogether 75, 779, 205, 155, and 166 genes were differentially expressed at 1, 3, 6, 12, 24 hours after the reperfusion respectively. Clusters analysis identified 12 clusters of genes in which each cluster had similar expression pattern. CONCLUSION: Analysis of gene expression pattern revealed sequential induction of subsets of genes that characterize each response.

Animals↗