Going, going, gone: from microscale to nanoscale analysis.
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Biotechnology↗
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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.
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Call to work together on microarray data analysis.
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Algorithms↗
Regulation of various genes in human leukocytes acutely exposed to morphine: expression microarray analysis.
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Gene Expression Regulation↗
Detection of CFTR mutations using ARMS and low-density microarrays.
The amplification refractory mutation system (ARMS) is routinely used for the identification of specific mutations within genomes. This PCR-based assay, although simple, is performed at a low-throughput scale, usually requiring gel-electrophoresis for the identification of specific mutations. We have applied the ARMS technology to a low-density microarray system to facilitate the needs of the medical clinic; high-throughput capabilities and ease-of-use. Mutations within the cystic fibrosis transmembrane regulator (CFTR) gene (DeltaF508, 1717-1G>A, G542X, 621+1G>T, and N1303K) were detected by multiplex-ARMS-PCR, and fragments were post-PCR labeled with Cy5. Amine-modified probes specific for both the wild-type and mutant forms of each mutation site were attached to glass substrates. Following hybridization of the PCR fragments to the attached probes (in a low-density microarray format), confirmation of the presence of specific sequences was achieved using a commercial scanner, as well as a fabricated low-cost fluorescent detector and applicable software. The novel combination of the ARMS and low-density microarray technologies allows for a high-throughput, simple means to rapidly identify multiple known mutations for many genetic diseases including cystic fibrosis.
Cystic Fibrosis Transmembrane Conductance Regulato↗
Selection of oligonucleotide probes for protein coding sequences.
MOTIVATION: Large arrays of oligonucleotide probes have become popular tools for analyzing RNA expression. However to date most oligo collections contain poorly validated sequences or are biased toward untranslated regions (UTRs). Here we present a strategy for picking oligos for microarrays that focus on a design universe consisting exclusively of protein coding regions. We describe the constraints in oligo design that are imposed by this strategy, as well as a software tool that allows the strategy to be applied broadly. RESULT: In this work we sequentially apply a variety of simple filters to candidate sequences for oligo probes. The primary filter is a rejection of probes that contain contiguous identity with any other sequence in the sample universe that exceeds a pre-established threshold length. We find that rejection of oligos that contain 15 bases of perfect match with other sequences in the design universe is a feasible strategy for oligo selection for probe arrays designed to interrogate mammalian RNA populations. Filters to remove sequences with low complexity and predicted poor probe accessibility narrow the candidate probe space only slightly. Rejection based on global sequence alignment is performed as a secondary, rather than primary, test, leading to an algorithm that is computationally efficient. Splice isoforms pose unique challenges and we find that isoform prevalence will for the most part have to be determined by analysis of the patterns of hybridization of partially redundant oligonucleotides. AVAILABILITY: The oligo design program OligoPicker and its source code are freely available at our website.
Algorithms↗
Disclosing hidden transcripts: mouse natural sense-antisense transcripts tend to be poly(A) negative and nuclear localized.
Genome-wide in silico analysis identified thousands of natural sense-antisense transcript (SAT) pairs in the mouse transcriptome. We investigated their expression using strand-specific oligo-microarray that distinguishes expression of sense and antisense RNA from 1947 SAT pairs. The majority of the predicted SATs are expressed at various steady-state levels in various tissues, and cluster analysis of the array data demonstrated that the ratio of sense and antisense expression for some of the SATs fluctuated markedly among these tissues, while the rest was unchanged. Surprisingly, further analyses indicated that vast amounts of multiple-sized transcripts are expressed from the SAT loci, which tended to be poly(A) negative, and nuclear localized. The tendency that the SATs are often not polyadenylated is conserved, even in the randomly chosen SAT genes in the plant Arabidopsis thaliana. Such common characteristics imply general roles of the SATs in regulation of gene expression.
Animals↗
Optimization of capillary array electrophoresis single-strand conformation polymorphism analysis for routine molecular diagnostics.
Mutation screening is widely used for molecular diagnostics of inherited disorders. Furthermore, it is anticipated that the present and future identification of genetic risk factors for complex disorders will increase the need for high-throughput mutation screening technologies. Capillary array electrophoresis (CAE) SSCP analysis is a low-cost, automated method with a high throughput and high reproducibility. Thus, the method fulfills many of the demands to be met for application in routine molecular diagnostics. However, the need for performing the electrophoresis at three temperatures between 18 degrees C and 35 degrees C for achievement of high sensitivity is a disadvantage of the method. Using a panel of 185 mutant samples, we have analyzed the effect of sample purification, sample medium and separation matrix on the sensitivity of CAE-SSCP analysis to optimize the method for molecular diagnostic use. We observed different effects from sample purification and sample medium at different electrophoresis temperatures, probably reflecting the complex interplay between sequence composition, electrophoresis conditions and sensitivity in SSCP analysis. The effect on assay sensitivity from three different polymers was tested using a single electrophoresis temperature of 27 degrees C. The data suggest that a sensitivity of 98-99% can be obtained using a 10% long chain poly-N,N-dimethylacrylamide polymer.
Acrylamides↗
Ethical ramifications of genetic analysis using DNA arrays.
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Ethics↗
Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.
The identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. The mean expression value for >3,000 tumor-intrinsic genes differed by at least 3-fold between the two groups. This includes many novel ESTs not previously implicated in prostate cancer progression. Many differentially expressed genes participate in biological processes that may contribute to the clinical phenotype. One example was a strong correlation between high proliferation rates in metastatic cancers and overexpression of genes that participate in cell cycle regulation, DNA replication, and DNA repair. Other functional categories of differentially expressed genes included transcriptional regulation, signaling, signal transduction, cell structure, and motility. These differentially expressed genes reflect critical cellular activities that contribute to clinical heterogeneity and provide diagnostic and therapeutic targets.
Adult↗
Transcriptome analysis reveals link between proteasomal and mitochondrial pathways in Parkinson's disease.
There is growing evidence that dysfunction of the mitochondrial respiratory chain and failure of the cellular protein degradation machinery, specifically the ubiquitin-proteasome system, play an important role in the pathogenesis of Parkinson's disease. We now show that the corresponding pathways of these two systems are linked at the transcriptomic level in Parkinsonian substantia nigra. We examined gene expression in medial and lateral substantia nigra (SN) as well as in frontal cortex using whole genome DNA oligonucleotide microarrays. In this study, we use a hypothesis-driven approach in analysing microarray data to describe the expression of mitochondrial and ubiquitin-proteasomal system (UPS) genes in Parkinson's disease (PD). Although a number of genes showed up-regulation, we found an overall decrease in expression affecting the majority of mitochondrial and UPS sequences. The down-regulated genes include genes that encode subunits of complex I and the Parkinson's-disease-linked UCHL1. The observed changes in expression were very similar for both medial and lateral SN and also affected the PD cerebral cortex. As revealed by "gene shaving" clustering analysis, there was a very significant correlation between the transcriptomic profiles of both systems including in control brains. Therefore, the mitochondria and the proteasome form a higher-order gene regulatory network that is severely perturbed in Parkinson's disease. Our quantitative results also suggest that Parkinson's disease is a disease of more than one cell class, i.e. that it goes beyond the catecholaminergic neuron and involves glia as well.
Brain↗
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↗
Identification of differentially expressed genes in multiple microarray experiments using discrete fourier transform.
Research in the post-genome sequence era has been shifting towards a functional understanding of the roles and relationships between different genes in different conditions. While the advances in genetic expression profiling techniques including microarrays enable detailed and genome-scale measurements, the extraction of meaningful information from large datasets remains a challenging task. Here, we propose a novel method of generating gene differential expression profiles such that gene expression values from one dataset can be directly compared with those of another dataset. A simplified Discrete Fourier Transform is applied to interposed gene expression values, thereby generating the 'spectra' for a pair of conditions. Using this technique, differentially expressed genes produce higher amplitudes at the Nyquist Frequency. By measuring the phase of the 'spectra' generated, the over- and under-expressed nature of the genes can be identified. This method was validated using two sets of GeneChip array data, one from prostate cancer related dataset and the other from macular degeneration related dataset. The genes identified as differentially expressed by our method were found to be similar to those published using their preferred methods. Based on our findings, the proposed DFT method could be used efficiently in identifying differentially expressed genes from multiple-array experiments from two different conditions.
Fourier Analysis↗
[Molecular unraveling of disease by means of DNA-microarrays].
Determination of the human genome sequence and the development of microarray technologies allowing the rapid measurement of all genes in the genome have generated new perspectives for our current biomedical research. Gene expression analysis will make a major contribution to our insight into the underlying biology of disease and will lead to improved methods for diagnostics, prognosis and treatment. Microarray studies create the possiblity to subclassify patients with diseases such as rheumatoid arthritis, diffuse large B-cell lymphoma and breast cancer, with both prognostic and therapeutic consequences. The simultaneous quantification of the activity of all genes in tissues or cells from patients by microarray technology, linked to the clinical parameters, creates a large number of data points, which cannot be analysed without the aid of the advanced application of bioinformatics. As a result, genomic research has become, in part, a bioinformatics discipline that will be integrated with clinical medicine. The microarray technology makes it possible to develop personalized medicine, with a more accurate diagnosis and prognosis for every patient and subsequently a tailored treatment strategy.
Arthritis, Rheumatoid↗
Electrochemical microfluidic biosensor for nucleic acid detection with integrated minipotentiostat.
An electrochemical microfluidic biosensor with an integrated minipotentiostat for the quantification of RNA was developed based on nucleic acid hybridization and liposome signal amplification. Specificity of the biosensor was ensured by short DNA probes that hybridize with the target RNA or DNA sequence. The reporter probe was coupled to liposomes entrapping the electrochemically active redox couple potassium ferri/ferrohexacyanide. The capture probes were coupled to superparamagnetic beads that were isolated on a magnet in the biosensor. Upon capture, the liposomes were lysed to release the electrochemical markers that were detected on an interdigitated ultramicroelectrode array in the biosensor just downstream of the magnet. The current was measured, stored and displayed by miniaturized instrumentation (miniEC). The accuracy of the miniEC was evaluated by comparing its performance to a standard bench-top electrochemical workstation in static and dynamic DC amperometric experiments. In both sets of experiments, the inexpensive miniEC performance was comparable in signal strength to that of the electrochemical workstation. In fact, the miniEC achieved a detection limit of 0.01 microM combined ferri/ferrohexacyanide concentration which was 10 x lower than that of the standard lab-bench system. The response time of the miniEC system was the same for low concentrations taking about 10 s to steady state. It was, however, slower at higher concentrations, taking 5 s versus only 1 s for the bench-top system. Finally, the functionality of the miniEC was successfully demonstrated with the detection of Dengue virus RNA.
Biosensing Techniques↗
DNA microarrays with stem-loop DNA probes: preparation and applications.
We have developed DNA microarrays containing stem-loop DNA probes with short single-stranded overhangs immobilized on a Packard HydroGel chip, a 3-dimensional porous gel substrate. Microarrays were fabricated by immobilizing self-complementary single-stranded oligonucleotides, which adopt a partially duplex structure upon denaturing and re-annealing. Hybridization of single-stranded DNA targets to such arrays is enhanced by contiguous stacking interactions with stem-loop probes and is highly sequence specific. Subsequent enzymatic ligation of the targets to the probes followed by stringent washing further enhances the mismatched base discrimination. We demonstrate here that these microarrays provide excellent specificity with signal-to-background ratios of from 10- to 300-fold. In a comparative study, we demonstrated that HydroGel arrays display 10-30 times higher hybridization signals than some solid surface DNA microarrays. Using Sanger sequencing reactions, we have also developed a method for preparing nested 3'-deletion sets from a target and evaluated the use of stem-loop DNA arrays for detecting p53 mutations in the deletion set. The stem-loop DNA array format is simple, robust and flexible in design, thus it is potentially useful in various DNA diagnostic tests.
DNA Mutational Analysis↗
Assessing the validity of blood-based gene expression profiles for the classification of schizophrenia and bipolar disorder: a preliminary report.
Recent advances have facilitated the use of blood-derived RNA to conduct genomic analyses of human diseases. This emerging technology represents a rigorous and convenient alternative to traditional tissue biopsy-derived RNA, as it allows for larger sample sizes, better standardization of technical procedures, and the ability to non-invasively profile human subjects. In the present pilot study, we have collected RNA from blood of patients diagnosed with schizophrenia or bipolar disorder (BPD), as well as normal control subjects. Using microarray analysis, we found that each disease state exhibited a unique expressed genome signature, allowing us to discriminate between the schizophrenia, BPD, and control groups. In addition, we validated changes in several potential biomarker genes for schizophrenia and BPD by RT-PCR, and some of these were found to code to chromosomal loci previously linked to schizophrenia. Linear and non-linear combinations of eight putative biomarker genes (APOBEC3B, ADSS, ATM, CLC, CTBP1, DATF1, CXCL1, and S100A9) were able to discriminate between schizophrenia, BPD, and control samples, with an overall accuracy of 95%-97% as indicated by receiver operating characteristic (ROC) curve analysis. We therefore propose that blood cell-derived RNA may have significant value for performing diagnostic functions and identifying disease biomarkers in schizophrenia and BPD.
Bipolar Disorder↗
DNA microarray cluster analysis reveals tissue similarity and potential neuron-specific genes expressed in cranial sensory ganglia.
Each of four cranial sensory ganglia, trigeminal, geniculate, petrosal, and nodose ganglia, contains multiple kinds of sensory neurons with different cell morphologies and neuronal properties that transmit information about sensory stimuli received peripherally. Here we analyze the complex properties of these neurons from the viewpoint of gene expression using DNA microarrays by cluster analysis. From a total of 8,740 genes, 498 genes were selected as showing tissue-dependent expression on the microarray by hierarchical cluster analysis, and their profiles indicated that, among the four sensory ganglia, the petrosal and trigeminal ganglia are intimately related. Tissue trees of 37 subclusters containing the 498 genes showed that the profiles of gene expression and the subclusters were classified into a smaller number of groups (18 groups) when information on the amounts of expression was added. In situ hybridization analysis of 21 genes selected from 13 different groups was carried out, and the gene expression patterns were classified into eight categories. The putative profiles postulated from the microarray data were essentially consistent with the patterns of expression at the cellular level as shown by in situ hybridization. In conclusion, from the overall analyses of gene expression by DNA microarray, we can identify a number of candidate genes showing neuron type-specific expression in the peripheral ganglia.
Animals↗
Microarray analysis of postmortem temporal cortex from patients with schizophrenia.
To examine molecular mechanisms associated with schizophrenia this study measured expression of approximately 12,000 genes in the middle temporal gyrus from 12 subjects with schizophrenia and 14 matched normal controls. Among the most consistent changes in genes with robust expression were significant decreases in the expression of myelination-related genes MAG, PLLP (TM4SF11), PLP1, ERBB3 in subjects with schizophrenia. There was also altered expression of genes regulating neurodevelopment (TRAF4, Neurod1, histone deacetylase 3), a circadian pacemaker (PER1), and several other genes involved in regulation of chromatin function and signaling mechanisms. These findings support the hypothesis that schizophrenia is associated with abnormalities in oligodendroglia and provide initial evidence suggesting a role for epigenetic mechanisms and altered circadian rhythms in this disorder.
Adult↗