A primer on the visualization of microarray data.
Explore the source record for details and available documents.
Cluster Analysis↗
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.
[DNA chip; recent advances and applications in gene expression profiling].
Explore the source record for details and available documents.
Animals↗
Evidence for shared genetic programs from cluster analysis of hippocampal gene expression dynamics in development and response to injury.
Cluster analysis is a computational method that groups together similarly-shaped patterns. It may be applied to large-scale gene expression data to form new hypotheses regarding gene function. In the present study, we clustered the temporal expression patterns of genes expressed in the rat hippocampus during normal development and after a kainate-induced seizure injury at postnatal day 25. We found that two different methods, Euclidean hierarchical and K-means clustering, produced slightly different results, and concluded that different clustering methods may he used to complement one another. We also found that certain genes cluster together both during development and after seizure injury, consistent with the idea of sets of genes that act in concert under various conditions.
Animals↗
Clustering gene expression data with temporal abstractions.
This paper describes a new technique for clustering short time series coming from gene expression data. The technique is based on the labelling of the time series through temporal trend abstractions and a consequent clustering of the series on the basis of their labels. Clustering is performed at three different levels of aggregation of the original time series, so that the results are organized and visualized as a three-levels hierarchical tree. Results on simulated and on yeast data are shown. The technique appears robust and efficient and the results obtained are easy to be interpreted.
Algorithms↗
Group testing with DNA chips: generating designs and decoding experiments.
DNA microarrays are a valuable tool for massively parallel DNA-DNA hybridization experiments. Currently, most applications rely on the existence of sequence-specific oligonucleotide probes. In large families of closely related target sequences, such as different virus subtypes, the high degree of similarity often makes it impossible to find a unique probe for every target. Fortunately, this is unnecessary. We propose a microarray design methodology based on a group testing approach. While probes might bind to multiple targets simultaneously, a properly chosen probe set can still unambiguously distinguish the presence of one target set from the presence of a different target set. Our method is the first one that explicitly takes cross-hybridization and experimental errors into account while accommodating several targets. The approach consists of three steps: (1) Pre-selection of probe candidates, (2) Generation of a suitable group testing design, and (3) Decoding of hybridization results to infer presence or absence of individual targets. Our results show that this approach is very promising, even for challenging data sets and experimental error rates of up to 5%. On a data set of 28S rDNA sequences we were able to identify 660 sequences, a substantial improvement over a prior approach using unique probes which only identified 408 sequences.
Algorithms↗
[Single cell DNA analysis: possibilities, methods, implications in relation to stem cell therapy].
In the analysis of circulating tumor cells or in the preimplantation genetic diagnosis it is frequently necessary to examine one single cell. Some methods are appropriate to isolate single cells: Laser Assisted Microdissection, magnetic cell separation or FACS. The use of the whole genome amplification methods are needful, because the amount of the DNA extracted from the isolated cells is very low and inappropriate for additional examinations. With different molecular biological methods (e.g. sequencing, chip-technology) it is possible to determine genetic alterations in the analysed cells, and to return the modified cells with in vitro gene technological methods (viral vectors, non viral methods). Our aim is to summarize the methods and the possible technical problems developing during the process of the single cell molecular biological analysis.
DNA Mutational Analysis↗
[Basic studies on mutation analysis of K-ras codon 12 by use of three-dimensional microarray system].
A next-generation DNA microarray system, FD10 has been developed. It is based around the PamChip, a custom-made microarray, which consists of a solid three-dimensional structure that facilitated the incorporation of probe molecules. We applied this microarray system on a detection of K-ras mutation at codon 12 in some cancer cell lines. The PCR products amplified by use of FITC labeled primers were applied onto probe-absorbed microarray. After hybridization, the signal was imaged by CCD camera and analyzed by the exclusive software. We confirmed the microarray results by PCR-SSCP and sequencing analyses. Ten, two and three out of 15 cell lines were homozygous for wild type allele, heterozygous for wild and mutant allele, and homozygous for mutant alleles, respectively. Signals hybridized with antisense probes were stronger than those with sense probes, without PSN1 cell line. The system had a good reproducibility. Essentially, the microarray results were consistent with PCR-SSCP and sequencing results. In conclusion, the FD10 microarray system was easy to operate and short to get results. It might be useful for a focused array applicable for specific purposes. The K-ras mutation detection system worked well and will be applied to clinical specimens soon.
Codon↗
Superb nucleotide discrimination by a novel on/off switch for DNA polymerization and its applications.
With the use of polymerases having 3' to 5' exonuclease activity and 3' phosphorothioate-modified allele-specific primers, we recently devised a SNP-operated on/off switch controlling DNA polymerization. One advantage of this novel on/off switch is its adaptability to arrayed primer extension. To further expand its application in genetic analysis, this new on/off switch was evaluated in discrimination of the match/mismatch status of single nucleotides upstream from the primer 3' terminal. A set of seven amplicons was developed with the templates differing from each other by a single nucleotide. Using this set of amplicons, the new on/off switch was shown to be able to efficiently discriminate single nucleotide polymorphisms from the primer 3' terminus to the -6 position from the primer 3' terminus. These data, illustrating the broad single nucleotide discrimination ability of this novel on/off switch, explain why the SNP-operated on/off switch is powerful in SNP analysis, and also indicate useful applications to genetic analysis additional to SNP assay. First, these data broaden the application of the novel on/off switch in the analysis of mutations other than SNPs. Second, it raises a nucleotide-walking algorithm suitable for de novo array-based sequencing analysis.
DNA Mutational Analysis↗
Experimental design, analysis of variance and slide quality assessment in gene expression arrays.
A microarray experiment is a sequence of complicated molecular biology procedures relying on various laboratory tools, instrumentation and experimenter's skills. This paper discusses statistical models for distinguishing small changes in gene expression from the noise in the system. It describes methods for assigning statistical confidence to gene expression values derived from a single array slide. Some of the theory is discussed in the context of practical applications via software usage.
Algorithms↗
Representational oligonucleotide microarray analysis (ROMA) in pharmacogenomics.
Explore the source record for details and available documents.
Humans↗
DNA repeat arrays in chicken and human genomes and the adaptive evolution of avian genome size.
BACKGROUND: Birds have smaller average genome sizes than other tetrapod classes, and it has been proposed that a relatively low frequency of repeating DNA is one factor in reduction of avian genome sizes. RESULTS: DNA repeat arrays in the sequenced portion of the chicken (Gallus gallus) autosomes were quantified and compared with those in human autosomes. In the chicken 10.3% of the genome was occupied by DNA repeats, in contrast to 44.9% in human. In the chicken, the percentage of a chromosome occupied by repeats was positively correlated with chromosome length, but even the largest chicken chromosomes had repeat densities much lower than those in human, indicating that avoidance of repeats in the chicken is not confined to minichromosomes. When 294 simple sequence repeat types shared between chicken and human genomes were compared, mean repeat array length and maximum repeat array length were significantly lower in the chicken than in human. CONCLUSIONS: The fact that the chicken simple sequence repeat arrays were consistently smaller than arrays of the same type in human is evidence that the reduction in repeat array length in the chicken has involved numerous independent evolutionary events. This implies that reduction of DNA repeats in birds is the result of adaptive evolution. Reduction of DNA repeats on minichromosomes may be an adaptation to permit chiasma formation and alignment of small chromosomes. However, the fact that repeat array lengths are consistently reduced on the largest chicken chromosomes supports the hypothesis that other selective factors are at work, presumably related to the reduction of cell size and consequent advantages for the energetic demands of flight.
Animals↗
GenePublisher: Automated analysis of DNA microarray data.
GenePublisher, a system for automatic analysis of data from DNA microarray experiments, has been implemented with a web interface at http://www.cbs.dtu.dk/services/GenePublisher. Raw data are uploaded to the server together with a specification of the data. The server performs normalization, statistical analysis and visualization of the data. The results are run against databases of signal transduction pathways, metabolic pathways and promoter sequences in order to extract more information. The results of the entire analysis are summarized in report form and returned to the user.
Automation↗
New approaches for in silico identification of cytokine-modified beta cell gene networks.
Beta cell dysfunction and death in type 1 diabetes mellitus (T1DM) is caused by direct contact with activated macrophages and T lymphocytes and by exposure to soluble mediators secreted by these cells, such as cytokines and nitric oxide. Cytokine-induced apoptosis depends on the expression of pro- and anti-apoptotic genes that remain to be characterized. Using microarray analyses, we identified several transcription factor and "effector" gene networks regulated by interleukin-1beta and/or interferon-gamma in beta cells. This suggests that beta cell fate following exposure to cytokines is a complex and highly regulated process, depending on the duration and severity of perturbation of key gene networks. In order to draw correct conclusions from these massive amounts of data, we need to utilize novel bioinformatics and statistical tools. Thus, we are presently performing in silico analysis for the localization of binding sites for the transcription factor NF-kappaB (previously shown to be pivotal for beta cell apoptosis) in 15 temporally related gene clusters, identified by time-course microarray analysis. In silico analysis is based on a broad range of computational techniques used to detect motifs in a DNA sequence corresponding to the binding site of a transcription factor. These computer-based findings must be validated by use of positive and negative controls, and by "ChIP on chip" analysis. Moreover, new statistical approaches are required to decrease false positive findings. These novel approaches will constitute a "proof of principle" for the integrated use of bioinformatics and functional genomics in the characterization of relevant cytokine-regulated beta cell gene networks leading to beta cell apoptosis in T1DM.
Animals↗
Identification of APC gene mutations in colorectal cancer using universal microarray-based combinatorial sequencing-by-hybridization.
Familial adenomatous polyposis (FAP) is an autosomal dominant inherited form of colorectal cancer, caused mostly by mutations in the APC gene. Due to the wide variety of mutations found and the large size of the APC gene, several methods of mutation detection are used, which can be time consuming and costly. Here we demonstrate a new method of mutation detection in the APC gene using an array-based approach termed combinatorial sequencing-by-hybridization (cSBH). In cSBH, a universal probe set is attached to a support and a second one is in solution. Two-probe ligation occurs when a DNA strand from the target PCR product consecutively anneals to both unlabeled array-bound and solution-phase dye-labeled probe, creating all target-complementary long-labeled probes attached to the surface. A standard array reader scores fluorescent signals at each array position. Cell lines and patient DNA with known APC gene mutations were analyzed using a cSBH-based HyChip trade mark product. Results show that this universal hexamer (6-mer) chip can successfully detect a range of mutations. Results are very robust for a continuous readout of 3.6 kb from a PCR target, with 99.97% accuracy on a single HyChip trade mark slide. cSBH is a fast, cost-efficient method for first stage mutation screening in the APC or any other gene.
Adenomatous Polyposis Coli↗
Parallel assessment of CpG methylation by two-color hybridization with oligonucleotide arrays.
We have developed a method for the parallel analysis of multiple CpG sites in genomic DNA for their state of methylation. Hypermethylation of CpG islands within the promoters and 5' exons of genes has been found to be a mechanism of transcriptional inactivation associated with a variety of tumors. The method that we developed relies on the differential reactivity of methylated and unmethylated cytosines with sodium bisulfite, which exclusively converts unmethylated cytosines to deoxyuracils. The resulting sequence changes are determined with single-nucleotide resolution by hybridization to an oligonucleotide array. Cohybridization with a reference sample containing a different label provides an internal standard for assessment of methylation state. This method provides advantages in parallelism over existing methods of methylation analysis. We have demonstrated this technique with a region from the promoter of the tumor suppressor gene p16, which is hypermethylated in many cancers.
Base Sequence↗
Detecting false expression signals in high-density oligonucleotide arrays by an in silico approach.
High-density oligonucleotide arrays have become a popular assay for concurrent measurement of mRNA expression at the genome scale. Much effort has been devoted to the development of statistical analysis tools aimed at reducing experimental noise and normalizing experimental variation in gene expression analysis. However, these investigations do not detect or catalog systematic problems associated with specific oligonucleotide probes. Here, we present an investigation of problematic probes that yield consistent but inaccurate signals across multiple experiments. By evaluating data integrity among gene, probe sequence, and genomic structure we identified a total of 20,696 (10.5%) nonspecific probes that could cross-hybridize to multiple genes and a total of 18,363 (9.3%) probes that miss the target transcript sequences on the Affymetrix GeneChip U95A/Av2 array. The numbers of nonspecific and mistargeted probes on the U133A array are 29,405 (12.1%) and 19,717 (8.0%), respectively. The poor performance of the mistargeted probes was confirmed in two GeneChip experiments, in which these probes showed a 20-30% decrease in detecting present signals compared with normal probes. Comparison of qualitative expression signals obtained from SAGE and EST data with those from GeneChip arrays showed that the consistency of the two platforms is 30% lower in problematic probes than in normal probes. A Web application was developed to apply our results for improving the accuracy of expression analysis.
Expressed Sequence Tags↗
Evaluating the arrayed primer extension resequencing assay of TP53 tumor suppressor gene.
Identification of mutations in the tumor suppressor gene TP53 has implications for the molecular epidemiology and for the molecular pathology of human cancer. We have developed and evaluated an arrayed primer extension assay for covering both strands of a region of the coding sequence containing more than 95% of the mutations described so far in TP53. On average, 97.5% of the arrayed TP53 gene sequence can be analyzed from either sense or antisense strands, and 81% from both strands. A patient DNA sample is amplified and annealed to arrayed primers, which then promote DNA polymerase extension reactions with four fluorescently labeled dideoxynucleotides. The TP53 gene chip spans exons 2-9 plus two introns from both strands. The performance of the assay was evaluated by using freshly extracted genomic DNA, as well as DNA extracted from archival (paraffin-embedded) DNA samples. The arrayed primer extension-based TP53 gene test provides an accurate and efficient tool for DNA sequence analysis of this frequently mutated gene for both research and clinical applications.
Algorithms↗
PIG7/LITAF gene mutation and overexpression of its gene product in extramammary Paget's disease.
To identify cancer-related genes that are involved in the carcinogenesis of extramammary Paget's disease (EMPD), we compared mRNA expression profiles of EMPD lesions and corresponding normal skin using cDNA array. Sixty-eight genes were highly expressed (>5-fold) in EMPD lesions compared to normal skin, and 40 genes were expressed less than one-fifth in EMPD lesions. Among them, PIG7/LITAF mRNA was overexpressed in 3 of 4 EMPD cases. PIG7/LITAF transcription is induced by p53 expression and has been implicated in the p53-induced apoptotic pathway. Since expression of p53 mRNA and p53 protein was not high in any of the 3 EMPD samples compared to the intact skin of the same patient, we analyzed PIG7/LITAF cDNA mutations among 12 EMPD samples (including the former 4) by PCR-SSCP. Three samples showed shifted bands (2 had point mutations leading to amino acid substitutions and 1 had a silent mutation). One sample with amino acid substitution overexpressed PIG7/LITAF mRNA in cDNA array analysis and RT-PCR. PIG7/LITAF mRNA expression is confined to tumor cells in in situ mRNA hybridization analysis. These results indicate that genetic disorder and overexpression of PIG7/LITAF may be involved in EMPD carcinogenesis.
Apoptosis↗