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At least 955 records · Page 53Linked to original sources
PubMed2006

Gene expression profile of multiple myeloma cell line treated by realgar.

In order to elucidate the molecular mechanism of Realgar treatment for multiple myeloma (MM), cDNA microaaray was used to compare the gene expression profiles of MM cell line RPMI8226 at 72 hrs pre- and post-Realgar treatment on three separate days. 54 up-regulated and 60 down-regulated genes were identified by cDNA microarray. Further analysis screened out 17 up-regulated and 3 down-regulated genes with Z-score greater than 2 or less than -2, which can be considered the significantly altered genes after Realgar treatment in this study. CCL2, CCL3, BTG1,TNFAIP3, TNFAIP8, SLC38A2, IGFBP4 were important up-regulated genes and they were associated with a variety of cell life functions such as cell growth, cell-cell signaling, regulation of apoptosis and cell homeostasis based on biological process of gene. There are only 3 significantly down-regulated genes (Z-score <-2.0) involved in muscle contract. Several of these genes have been previously identified in relation to MM in published papers. Subsequent validation of selected genes (CCL2, TNFAIP3 and BTG1) by reverse transcription polymerase chain reaction was consistent with our microarray analysis. CCL2 may be involved in MM pathobiology by tumor growth suppression. BTG1 could be used as a potential treatment-related biomarker for monitoring the therapy effect and the remission status of leukemia patients.

Arsenicals↗
PubMed2005

Gene expression profiling of experimental traumatic spinal cord injury as a function of distance from impact site and injury severity.

Changes in gene expression contribute to pathophysiological alterations following spinal cord injury (SCI). We examined gene expression over time (4 h, 24 h, 7 days) at the impact site, as well as rostral and caudal regions, following mild, moderate, or severe contusion SCI in rats. High-density oligonucleotide microarrays were used that included approximately 27,000 genes/ESTs (Affymetrix RG-U34; A, B and C arrays), together with multiple analyses (MAS 5.0, dChip). Alterations after mild injury were relatively rapid (4 and 24 h), whereas they were delayed and prolonged after severe injury (24 h and 7 days). The number and magnitude of gene expression changes were greatest at the injury site after moderate injury and increased in rostral and caudal regions as a function of injury severity. Sham surgery resulted in expression changes that were similar to mild injury, suggesting the importance of using time-linked surgical controls as well as naive animals for these kinds of studies. Expression of many genes and ESTs was altered; these were classified functionally based on ontology. Overall representation of these functional classes varied with distance from the site of injury and injury severity, as did the individual genes that contributed to each functional class. Different clustering approaches were used to identify changes in neuronal-specific genes and several transcription factors that have not previously been associated with SCI. This study represents the most comprehensive evaluation of gene expression changes after SCI to date. The results underscore the power of microarray approaches to reveal global genomic responses as well as changes in particular gene clusters and/or families that may be important in the secondary injury cascade.

Algorithms↗
PubMed2004

Microarray-based AMASE as a novel approach for mutation detection.

Alterations in the p53 tumor suppressor gene are important events in many cases of human cancers. We have developed a novel microarray based approach for re-sequencing and mutation detection of the p53 gene. The method facilitates rapid and simple scanning of the target gene sequence and could be expanded to include other candidate cancer genes. The methodology employs the previously described apyrase-mediated allele-specific extension reaction (AMASE). In order to re-sequence the selected region, four extension oligonucleotides with different 3'-termini were used for each base position and they were covalently attached to the glass slide's surface. The amplified single-stranded DNA templates were then hybridized to the array followed by in situ extension with fluorescently labeled dNTPs in the presence of apyrase. The model system used was based on analysis of a 15 bp stretch in exon 5 of the p53 gene. Mutations were scored as allelic fractions calculated as (wt)/(wt + mut) signals. When apyrase was included in the extension reactions of wild type templates, the mean allelic fraction was 0.96. When apyrase was excluded with the same wild type templates, significantly lower allelic fractions were obtained. Two 60-mer synthetic oligonucleotides were used to establish the detectable amount of mutations with AMASE and a clear distinction between all the points could be made. Several samples from different stages of skin malignancies were also analyzed. The results from this study imply the possibility to efficiently and accurately re-sequence the entire p53 gene with AMASE technology.

Alleles↗
PubMed2000

Application of polymer-embedded proteins to fabrication of DNA array.

A plasma-polymerized film (PPF) of hexamethyldisiloxane [HMDS; (CH(3))(3)SiOSi(CH(3))(3)] was used to immobilize streptavidin on a glass substrate. Another layer of HMDS-PPF was also applied to the protein, which was first adsorbed to an underlayer of the same kind of film. As the result, the streptavidin was "embedded" between the two layers of HMDS, whereby biotinylated molecules could be efficiently captured. The second layer of approximately 30 to 45 A PPF was sufficient to allow the binding of biotinylated molecules, whereas thicknesses of >90 A significantly hindered the streptavidin-biotin interactions. Fluorescence analysis revealed that the absence of an HMDS plasma-polymer (HMDS-PP) layer on either side of the streptavidin film resulted in a decrease in biotin binding. This immobilization technique was used to bind biotinylated oligonucleotides in sequence-specific DNA-DNA interactions. The hydrophobic properties of the plasma-polymerized HMDS thin film acted to minimize nonspecific DNA binding to the glass substrate. A DNA array was fabricated using this procedure and showed greatly decreased nonspecific DNA binding compared with a poly-L-lysine coated substrate.

Adsorption↗
PubMed2002

Analysis of SNPs and other genomic variations using gel-based chips.

Application of microarrays for the analysis of point mutations and SNPs in genomic DNAs is currently under intensive development. Various technologies are being investigated, employing enzymatic, chemical, and physical tools [for review, see Tillib and Mirzabekov, 2001]. Our current approach is based on the use of IMAGE chips (immobilized microarrays of gel elements) consisting of an array of gel pads attached to a hydrophobic glass surface. The gel pads range in size from picoliters to nanoliters and are used for immobilization of oligonucleotide probes, as well as miniature test tubes for chemical or enzymatic reactions with tethered compounds. Nucleic acids are hybridized, fractionated, modified, and subjected to enzymatic reactions inside the pads. All steps of sequence analysis (PCR-amplification, activation or release of primers and products, DNA extension, hybridization, and reading of the results) can be performed within the same pad. A flexible and inexpensive technology platform enables one to monitor processes in the arrays in both real time and steady-state. Identification of SNPs, microsequencing, and other specific tasks are easily performed. In particular, stacking interactions with short oligonucleotides enhance the capability of high-throughput screening. The IMAGE chips can be analyzed using a variety of equipment, from a dedicated multi-color fluorescent microscope or MALDI-spectrometer to an inexpensive portable analyzer suitable for field conditions. Customized gel-based chips were successfully used for screening of SNPs in a broad range of biologically meaningful genes.

Alleles↗
PubMed2004

Three-dimensional microarray compared with PCR-single-strand conformation polymorphism analysis/DNA sequencing for mutation analysis of K-ras codons 12 and 13.

BACKGROUND: We developed a rapid, precise, and accurate microarray-based method that uses a three-dimensional platform for detection of mutations. METHODS: We used the PamChip microarray to detect mutations in codons 12 and 13 of K-ras in 15 cell lines and 81 gastric or colorectal cancer tissues. Fluorescein isothiocyanate-labeled PCR products were analyzed with the microarray. We confirmed the microarray results with PCR-single-strand conformation polymorphism (SSCP) analysis and DNA sequencing. RESULTS: We could correctly identify wild-type, heterozygous, and homozygous mutant genotypes with the PamChip microarray in <3.5 h. The array data were consistent with those of PCR-SSCP analysis and DNA sequencing. All 15 cell lines and 80 of 81 clinical cancer specimens (98.8%; 95% confidence interval, 96.4-100%) were genotyped accurately with the microarray, a rate better than that of direct DNA sequencing (38.9%) or SSCP (93.8%). Only one clinical specimen was misdiagnosed as homozygous for the wild-type allele. Densitometric analysis of SSCP bands indicated that the content of the mutant allele in the specimen was approximately 16%. The PamChip microarray could detect mutant alleles representing more than 25% of the SSCP band proportions. Therefore, the limit for detection of mutant alleles by the PamChip microarray was estimated to be 16-25% of the total DNA. CONCLUSIONS: The PamChip microarray is a novel three-dimensional microarray system and can be used to analyze K-ras mutations quickly and accurately. The mutation detection rate was nearly 100% and was similar to that of PCR-SSCP together with sequencing analysis, but the microarray analysis was faster and easier.

Cell Line, Tumor↗
PubMed2004

Cohort analysis of a single nucleotide polymorphism on DNA chips.

A method has been developed to determine SNPs on DNA chips by applying a flow-through bioscanner. As a practical application we demonstrated the fast and simple SNP analysis of 24 genotypes in an array of 96 spots with a single hybridisation and dissociation experiment. The main advantage of this methodical concept is the parallel and fast analysis without any need of enzymatic digestion. Additionally, the DNA chip format used is appropriate for parallel analysis up to 400 spots. The polymorphism in the gene of the human phenol sulfotransferase SULT1A1 was studied as a model SNP. Biotinylated PCR products containing the SNP (The SNP summary web site: ) (mutant) and those containing no mutation (wild-type) were brought onto the chips coated with NeutrAvidin using non-contact spotting. This was followed by an analysis which was carried out in a flow-through biochip scanner while constantly rinsing with buffer. After removing the non-biotinylated strand a fluorescent probe was hybridised, which is complementary to the wild-type sequence. If this probe binds to a mutant sequence, then one single base is not fully matching. Thereby, the mismatched hybrid (mutant) is less stable than the full-matched hybrid (wild-type). The final step after hybridisation on the chip involves rinsing with a buffer to start dissociation of the fluorescent probe from the immobilised DNA strand. The online measurement of the fluorescence intensity by the biochip scanner provides the possibility to follow the kinetics of the hybridisation and dissociation processes. According to the different stability of the full-match and the mismatch, either visual discrimination or kinetic analysis is possible to distinguish SNP-containing sequence from the wild-type sequence.

Arylsulfotransferase↗
PubMed2003

Genotyping microarray (gene chip) for the ABCR (ABCA4) gene.

Genetic variation in the ABCR (ABCA4) gene has been associated with five distinct retinal phenotypes, including Stargardt disease/fundus flavimaculatus (STGD/FFM), cone-rod dystrophy (CRD), and age-related macular degeneration (AMD). Comparative genetic analyses of ABCR variation and diagnostics have been complicated by substantial allelic heterogeneity and by differences in screening methods. To overcome these limitations, we designed a genotyping microarray (gene chip) for ABCR that includes all approximately 400 disease-associated and other variants currently described, enabling simultaneous detection of all known ABCR variants. The ABCR genotyping microarray (the ABCR400 chip) was constructed by the arrayed primer extension (APEX) technology. Each sequence change in ABCR was included on the chip by synthesis and application of sequence-specific oligonucleotides. We validated the chip by screening 136 confirmed STGD patients and 96 healthy controls, each of whom we had analyzed previously by single strand conformation polymorphism (SSCP) technology and/or heteroduplex analysis. The microarray was >98% effective in determining the existing genetic variation and was comparable to direct sequencing in that it yielded many sequence changes undetected by SSCP. In STGD patient cohorts, the efficiency of the array to detect disease-associated alleles was between 54% and 78%, depending on the ethnic composition and degree of clinical and molecular characterization of a cohort. In addition, chip analysis suggested a high carrier frequency (up to 1:10) of ABCR variants in the general population. The ABCR genotyping microarray is a robust, cost-effective, and comprehensive screening tool for variation in one gene in which mutations are responsible for a substantial fraction of retinal disease. The ABCR chip is a prototype for the next generation of screening and diagnostic tools in ophthalmic genetics, bridging clinical and scientific research.

ATP-Binding Cassette Transporters↗
PubMed2005

EXPANDER--an integrative program suite for microarray data analysis.

BACKGROUND: Gene expression microarrays are a prominent experimental tool in functional genomics which has opened the opportunity for gaining global, systems-level understanding of transcriptional networks. Experiments that apply this technology typically generate overwhelming volumes of data, unprecedented in biological research. Therefore the task of mining meaningful biological knowledge out of the raw data is a major challenge in bioinformatics. Of special need are integrative packages that provide biologist users with advanced but yet easy to use, set of algorithms, together covering the whole range of steps in microarray data analysis. RESULTS: Here we present the EXPANDER 2.0 (EXPression ANalyzer and DisplayER) software package. EXPANDER 2.0 is an integrative package for the analysis of gene expression data, designed as a 'one-stop shop' tool that implements various data analysis algorithms ranging from the initial steps of normalization and filtering, through clustering and biclustering, to high-level functional enrichment analysis that points to biological processes that are active in the examined conditions, and to promoter cis-regulatory elements analysis that elucidates transcription factors that control the observed transcriptional response. EXPANDER is available with pre-compiled functional Gene Ontology (GO) and promoter sequence-derived data files for yeast, worm, fly, rat, mouse and human, supporting high-level analysis applied to data obtained from these six organisms. CONCLUSION: EXPANDER integrated capabilities and its built-in support of multiple organisms make it a very powerful tool for analysis of microarray data. The package is freely available for academic users at http://www.cs.tau.ac.il/~rshamir/expander.

Algorithms↗
PubMed2004

Label-free THz sensing of genetic sequences: towards 'THz biochips'.

THz-wave-based approaches for the label-free characterization of genetic material are described. Time-resolved THz spectroscopic analysis of genetic sequences (polynucleotides) demonstrate a distinct complex refractive index in the THz frequency range as a function of the binding state of the analysed DNA sequences. By monitoring THz signals, one can thus infer the binding state of oligo- and polynucleotides, enabling the label-free determination of the genetic composition of target polynucleotides by sensing their binding to known probe molecules. Here we review integrated THz sensing array developments exhibiting high sensitivity and single-base mutation detection capabilities. Recent achievements using functionalized biosensing arrays of high-Q resonators are illustrated.

Biosensing Techniques↗
PubMed2001

Recent developments in high-throughput mutation screening.

Screening of large sample materials for the presence of known or unknown mutations is a key element in pharmacogenomics. Although automated DNA sequencing has developed rapidly during the last decade, the technology is not well suited for projects involving analysis of hundreds of thousands of mutations. Consequently, a number of methods for high-throughput mutation screening have been developed. DNA microarrays and high-density oligonucleotide chips have proven to be well suited for parallel hybridisation-based analysis of hundreds or thousands of known mutations. Methods based on detection using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) have been developed. MALDI-TOF MS detection is limited to analysis of small DNA fragments but has a large potential for high-throughput single nucleotide polymorphism (SNP) analysis, due to a very fast analysis time and possibilities for automation. Currently, the best suited methods for high-throughput screening for unknown mutations are probably methods like single strand conformation polymorphism (SSCP) analysis or conformation sensitive gel electrophoresis (CSGE), combined with capillary array electrophoresis or denaturing high-performance liquid chromatography. This is due to a relatively short analysis time, potential for automation and a high sensitivity. The recent development of capillary array electrophoresis chips suggests that the analysis time for some of these methods may be reduced by one order of magnitude in the near future.

Chromatography, High Pressure Liquid↗
PubMed2006

MACGT: multi-dimensional automated clustering genotyping tool for analysis of microarray-based mini-sequencing data.

SUMMARY: Multi-dimensional Automated Clustering Genotyping Tool (MACGT) is a Java application that clusters complex multi-dimensional vector data derived from single nucleotide polymorphism (SNP) genotyping experiments using mini-sequencing based microarray chemistries such as arrayed primer extension (APEX). Spot intensity output files from microarray experiments across multiple samples are imported into MACGT. The datasets can include four channels of intensity data for each spot, replica spots for each SNP probe and multiple probe types (APEX and allele-specific APEX probes) on both DNA strands for each SNP. MACGT automatically clusters these multi-dimensionality datasets for each SNP across multiple samples. Incorporation of additional array datasets from known samples that have previously validated SNP genotype calls allows unknown samples to be automatically assigned a genotype based on the clustering, along with numerical measures of confidence for each genotype call. Calling accuracy by MACGT exceeds 98% when applied to genotyping data from APEX microarrays, and can be increased to >99.5% by applying thresholds to the confidence measures.

Algorithms↗
PubMed2005

Multiplex polymerase chain reaction and ligation detection reaction/universal array technology for the traceability of genetically modified organisms in foods.

A multiplex polymerase chain reaction (PCR) system was developed for the simultaneous detection of target sequences in genetically modified soybean (Roundup Ready) and maize (MON810, Bt176, Bt11, and GA21). Primer pairs were designed to amplify the junction regions of the transgenic constructs analyzed and the endogenous genes of soybean (lectin) and maize (zein) were included as internal control targets to assess the efficiency of all reactions. This multiplex PCR has constituted the basis for an efficient platform for genetically modified organism traceability based on microarray technology. In particular, the ligation detection reaction combined to a universal array approach, using the multiplex PCR as target, was applied. High specificity and sensitivity were obtained.

DNA, Plant↗
PubMed2006

Evaluation of DNA microarray results with quantitative gene expression platforms.

We have evaluated the performance characteristics of three quantitative gene expression technologies and correlated their expression measurements to those of five commercial microarray platforms, based on the MicroArray Quality Control (MAQC) data set. The limit of detection, assay range, precision, accuracy and fold-change correlations were assessed for 997 TaqMan Gene Expression Assays, 205 Standardized RT (Sta)RT-PCR assays and 244 QuantiGene assays. TaqMan is a registered trademark of Roche Molecular Systems, Inc. We observed high correlation between quantitative gene expression values and microarray platform results and found few discordant measurements among all platforms. The main cause of variability was differences in probe sequence and thus target location. A second source of variability was the limited and variable sensitivity of the different microarray platforms for detecting weakly expressed genes, which affected interplatform and intersite reproducibility of differentially expressed genes. From this analysis, we conclude that the MAQC microarray data set has been validated by alternative quantitative gene expression platforms thus supporting the use of microarray platforms for the quantitative characterization of gene expression.

Equipment Design↗
PubMed2005

Apply innovative technologies to explore cancer genome.

PURPOSE OF REVIEW: Molecular genetic alterations characterize the development of human cancer. Recent advances in molecular genetic technology and the success of the human genome project have empowered investigators with new tools in dissecting the cancer genome for discovery of new cancer-associated genes. The purpose of this review is to highlight the emerging molecular genetic methodologies and summarize their principles, applications, and potential technical challenges. The critical issue in sample preparation and a strategy that combines different molecular techniques to facilitate the identification of novel cancer-associated genes will be discussed. RECENT FINDINGS: Digital karyotyping and array-based techniques including array comparative genomic hybridization and representational oligonucleotide microarray analysis have been recently developed to study the genomic landscape in human cancer. These innovations provide tools to quantitatively measure DNA copy number changes in cancer and to map those changes directly onto the human genome. Digital karyotyping is based on counting the sequence tags that are distributed in the human genome and thus, it provides a digital readout to precisely outline the amplified and deleted chromosomal regions. Array-based technologies, on the other hand, compare the content of cancer and reference genomes followed by localizing the amplified or deleted signals in chromosomal regions using an array hybridization technique. In addition, a high-throughput mutational analysis platform has been available for a large-scale mutational analysis by using an automated capillary sequencing device and sophisticated bioinformatic tools. A number of examples have demonstrated the promise of these new molecular genetic approaches in identifying several potential new oncogenes and tumor suppressors. SUMMARY: As compared with conventional cytogenetics methods, digital karyotyping, array comparative genomic hybridization, and representational oligonucleotide microarray analysis provide an unprecedented mapping resolution that allows a precise localization of the amplified and deleted chromosomal regions. These technologies can be combined with gene expression profiling and high-throughput mutational analysis to facilitate the search for new cancer-associated genes. It is expected that applying these new technologies will lead to discovery of a host of novel oncogenes and tumor suppressors, which will have a significant impact in our understanding of tumorigenesis and in the clinical management of cancer patients.

Cytogenetics↗
PubMed2004

Improving the sensitivity and specificity of gene expression analysis in highly related organisms through the use of electronic masks.

DNA microarrays are powerful tools for comparing gene expression profiles from closely related organisms. However, a single microarray design is frequently used in these studies. Therefore, the levels of certain transcripts can be grossly underestimated due to sequence differences between the transcripts and the arrayed DNA probes. Here, we seek to improve the sensitivity and specificity of oligonucleotide microarray-based gene expression analysis by using genomic sequence information to predict the hybridization efficiency of orthologous transcripts to a given microarray. To test our approach, we examine hybridization patterns from three Escherichia coli strains on E.coli K-12 MG1655 gene expression microarrays. We create electronic mask files to discard data from probes predicted to have poor hybridization sensitivity and specificity to cDNA targets from each strain. We increased the accuracy of gene expression analysis and identified genes that cannot be accurately interrogated in each strain using these microarrays. Overall, these studies provide guidelines for designing effective electronic masks for gene expression analysis in organisms where substantial genome sequence information is available.

DNA Probes↗
PubMed2006

The first automated synthesis of ferrocene-labelled phosphorothioate DNA probe: a new potential tool for the fabrication of DNA microarrays.

We report the synthesis and the characterisation of the first electroactive ferrocene-labelled oligonucleotide phosphorothioate (ODN-Fc-Ps) probe obtained by automated synthesis. The grafting of ODN-Fc-Ps probe on gold electrode resulted in the appearance of the ferrocene redox couple in cyclic voltammetry confirming the effectiveness of the ODN grafting. The electrochemical response of the modified electrode was analysed in aqueous media before and after hybridisation with ODN target. The hybridisation with ODN target induces a large conformational change in the surface-confined DNA structure monitored by cyclic voltammetry of the ferrocene marker which confirms the potential of ferrocene-labelled oligonucleotide phosphorothioate to develop electrochemical DNA chips.

DNA↗
PubMed2002

Quality indicators increase the reliability of microarray data.

Large-scale gene expression profiling with DNA microarrays opens new dimensions to molecular biology but still lacks the overall precision of traditional low-scale techniques. We developed a novel strategy of data processing linking search stringency to quality indicators for efficient detection of low-level, regulated genes. Using retinoid-induced differentiation of NB-4 promyelocytic cells, the variation of expression profiles between biological duplicates was studied and compared with the changes induced by all-trans retinoic acid (atRA) treatment. An analysis of 4320 genes showed that retinoic acid has mainly geneactivating function in NB-4 cells. Treatment with atRA for 18 hours induced metabolic genes that may be associated with cell differentiation and signaling factors triggering later events leading to apoptosis; cytokine genes were among the highest stimulated by atRA. Notably, we identified a regulatory loop inhibiting MYC action: as MYC was downregulated, a cognate repressor of MYC was upregulated.

Cluster Analysis↗