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PubMed2004

Effect of normalization on significance testing for oligonucleotide microarrays.

MOTIVATION: Normalization techniques are used to reduce variation among gene expression measurements in oligonucleotide microarrays in an effort to improve the quality of the data and the power of significance tests for detecting differential expression. Of several such proposed methods, two that have commonly been employed include median-interquartile range normalization and quantile normalization. The median-IQR method applied directly to fold-changes for paired data also was considered. Two methods for calculating gene expression values include the MAS 5.0 algorithm [Affymetrix. (2002). Statistical Algorithms Description Document. Santa Clara, CA: Affymetrix, Inc. http://www.affymetrix.com/support/technical/whitepapers/sadd-whitepaper.pdf] and the RMA method [Irizarry, R. A., Bolstad, B. M., Collin, F., Cope, L. M., Hobbs, B., Speed, T. P. (2003a). Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 31(4,e15); Irizarry, R. A., Hobbs, B., Collin, F., Beazer-Barclay, Y. D., Antonellis, K. J., Scherf, U., Speed, T. P. (2003b). Exploration, normalization, and summaries of high density oligonucleotide array probe-level data. Biostatistics 4(2):249-264; Irizarry, R. A., Gautier, L., Cope, L. (2003c). An R package for analysis of Affymetrix oligonucleotide arrays. In: Parmigiani, R. I. G., Garrett, E. S., Ziegler, S., eds. The Analysis of Gene Expression Data: Methods and Software. Berlin: Springer, pp. 102-119]. RESULTS: In considering these methods applied to a prostate cancer data set derived from paired samples on normal and tumor tissue, it is shown that normalization methods may lead to substantial inflation of the number of genes identified by paired-t significance tests even after adjustment for multiple testing. This is shown to be due primarily to an unintended effect that normalization has on the experimental error variance. The impact appears to be greater in the RMA method compared to the MAS 5.0 algorithm and for quantile normalization compared to median-IQR normalization.

Analysis of Variance↗
PubMed2002

Expression analysis of pediatric solid tumor cell lines using oligonucleotide microarrays.

We identified patterns of differentially-expressed genes in cell lines derived from several pediatric solid tumors. Affymetrix Human Cancer G110 Arrays, carrying 1,700 cancer-associated genes, were applied to a panel of 11 cell lines originating from Ewing tumors (ETs), neuroblastomas, and malignant melanoma of soft parts. Hierarchical clustering clearly differentiated these 3 entities and revealed groups of 75, 102, and 36 gene probe-sets exhibiting tumor-type specific up-regulation in these cell lines, respectively. Whereas ET lines demonstrated increased expression of microtubule-associated protein tau (MAPT), protein phosphatase 1 regulatory subunit 1A (PPP1R1A), NIMA (never in mitosis gene a)-related kinase 2 (NEK2), and cyclin D1 (CCND1), neuroblastoma samples exhibited high expression of wingless-type mouse mammary tumor virus integration site family member 11 (WNT11), Drosophila frizzled homolog 2 (FZD2), and adenomatous polyposis coli (APC) which are involved in regulating free beta-catenin levels. These genes likely maintain tumor-specific characteristics and participate in key downstream regulatory mechanisms. We also correlated the expression levels of up-regulated genes in ETs with their chromosomal localization and compared these data to the comparative genomic hybridization profiles of the cell lines. We demonstrate that gains of genetic material contribute essentially to differential gene expression.

Child↗
PubMed2005

Selection of choriocarcinoma-associated genes using bioinformatics.

OBJECTIVE: To analyze the data of gene expression profiles of choriocarcinoma and screen for choriocarcinoma- related genes. METHODS: Human cDNA expression microarray containing 4 096 genes was used to study the gene expression profiles in specimens of complete hydatidiform moles (n=3) and choriocarcinomas (n=3), with normal placental villi serving as the control group. The candidate genes with similar expression profiles were identified by hierarchical cluster analysis, and their expressions in normal and neoplastic tissues analyzed by electronic Northern analysis and other bioinformatics methods. Three selected genes were analyzed by beta-actin semiquantitative reverse transcriptase-PCR to confirm the data. RESULTS: A total of 52 coexpressed candidate genes were identified from the gene expression data derived from the choriocarcinoma specimens, of which 19 genes were selected as choriocarcinoma-related genes by further cluster analysis, such as dynamin (L07807), katanin p60 (AF056022), zinc finger protein ZNF184 (U6656), calmodulin (U12022), carboxypeptidase M (BC022276), calcineurin-binding protein cabin 1 (NM_012295) and transducin-like enhancer protein TLE1(M99435). CONCLUSION: The identification of choriocarcinoma-related genes by cluster analysis provides new clues for seeking the key genes associated with the progression and metastasis of choriocarcinoma.

Choriocarcinoma↗
PubMed2002

Match-only integral distribution (MOID) algorithm for high-density oligonucleotide array analysis.

BACKGROUND: High-density oligonucleotide arrays have become a valuable tool for high-throughput gene expression profiling. Increasing the array information density and improving the analysis algorithms are two important computational research topics. RESULTS: A new algorithm, Match-Only Integral Distribution (MOID), was developed to analyze high-density oligonucleotide arrays. Using known data from both spiking experiments and no-change experiments performed with Affymetrix GeneChip arrays, MOID and the Affymetrix algorithm implemented in Microarray Suite 4.0 (MAS4) were compared. While MOID gave similar performance to MAS4 in the spiking experiments, better performance was observed in the no-change experiments.MOID also provides a set of alternative statistical analysis tools to MAS4. There are two main features that distinguish MOID from MAS4. First, MOID uses continuous P values for the likelihood of gene presence, while MAS4 resorts to discrete absolute calls. Secondly, MOID uses heuristic confidence intervals for both gene expression levels and fold change values, while MAS4 categorizes the significance of gene expression level changes into discrete fold change calls. CONCLUSIONS: The results show that by using MOID, Affymetrix GeneChip arrays may need as little as ten probes per gene without compromising analysis accuracy.

Algorithms↗
PubMed2004

High resolution microarray comparative genomic hybridisation analysis using spotted oligonucleotides.

BACKGROUND: Currently, comparative genomic hybridisation array (array CGH) is the method of choice for studying genome wide DNA copy number changes. To date, either amplified representations of bacterial artificial chromosomes (BACs)/phage artificial chromosomes (PACs) or cDNAs have been spotted as probes. The production of BAC/PAC and cDNA arrays is time consuming and expensive. AIM: To evaluate the use of spotted 60 mer oligonucleotides (oligos) for array CGH. METHODS: The hybridisation of tumour cell lines with known chromosomal aberrations on to either BAC or oligoarrrays that are mapped to the human genome. RESULTS: Oligo CGH was able to detect amplifications with high accuracy and greater spatial resolution than other currently used array CGH platforms. In addition, single copy number changes could be detected with a resolution comparable to conventional CGH. CONCLUSIONS: Oligos are easy to handle and flexible, because they can be designed for any part of the genome without the need for laborious amplification procedures. The full genome array, containing around 30000 oligos of all genes in the human genome, will represent a big step forward in the analysis of chromosomal copy number changes. Finally, oligoarray CGH can easily be used for any organism with a fully sequenced genome.

Breast Neoplasms↗
PubMed2006

Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression.

BACKGROUND: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear Model) method implements a linear model applied on the probe-level data to directly estimate the treatment effect. A finite mixture of Gaussian components is then used to identify DEGs using the coefficients estimated by the linear model. This approach can readily be applied to experimental design with or without replication. RESULTS: On a wholly defined dataset, the PL-LM method was able to identify 75% of the differentially expressed genes within 10% of false positives. This accuracy was achieved both using the three replicates per conditions available in the dataset and using only one replicate per condition. CONCLUSION: The method achieves, on this dataset, a higher accuracy than the best set of tools identified by the authors of the dataset, and does so using only one replicate per condition.

Algorithms↗
PubMed2005

A competitive kinetic model of nucleic acid surface hybridization in the presence of point mutants.

Microarray analysis has become increasingly complex due to the growing size of arrays and the inherent cross-binding of targets. In this work, we explore the effects of matched and mismatched target species concentrations, temperature, and the time of hybridization on sensing specificity in two-component systems. A finite element software is used to simulate the diffusion of DNA through a microfluidic chamber to the sensing surface where hybridization of DNA is modeled using the corresponding kinetic equation. Comparison between a single-component system, where only one target is allowed to bind to a specific zone, and a two-component system, where more than one target can hybridize in a sensing zone, uncovers significant kinetic disparities during the transitory state; however, at thermodynamic equilibrium a modified Langmuir isotherm governs the bound amount of both species. The results presented suggest that it may be more appropriate to consider collective rather than quasi-independent interaction of targets in multicomponent systems.

Binding, Competitive↗
PubMed2005

Infectious pathogen detection arrays: viral detection in cell lines and postmortem brain tissue.

A unique array-based pathogen chip has been developed for the detection of viral RNA or DNA relevant to pathologies of the central nervous system. A total of 715 unique oligonucleotides (60-mer) representing approximately 100 pathogens were designed based on open reading frames (ORFs) from highly conserved and heterogenic regions within viral families. In addition, viral genes reflecting different stages of pathogen infection were also included to potentially define the stage of the viral infection. Viruses (double-stranded DNA, double- or single-stranded RNA, delta, retroid), parasites, and bacteria were included. Test samples labeled with Cy5 were examined by cohybridization with a reference RNA, labeled with Cy3, to the pathogen microarray chip. Good reproducibility of experiments was observed, based on data generated from duplicate hybridizations and duplicate spots on the microarray platform. A viral transcript detection sensitivity of 1 x 10(3) plaque-forming units (pfus) was achieved using selected cell lines and viruses. These findings suggest that the array-based platform described here is capable of detecting a broad spectrum of viruses in a single assay with relatively high sensitivity, specificity, and reproducibility. This method may be used to provide evidence of viral infection in postmortem tissue from psychiatric patients as well as a wide range of other diagnostic categories.

Autopsy↗
PubMed2004

Rapid detection of common Chinese glucose-6-phosphate dehydrogenase (G6PD) mutations by microarray-based assay.

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is the most common human enzymopathy, affecting more than 200 million people worldwide. To date more than 123 mutations in the G6PD gene have been discovered, among which 12 point mutations are found in the Chinese. Setting up a simple and accurate method for detecting these mutations is not only useful for diagnosing G6PD deficiency under some circumstances that it is difficult to measure the activity of the enzyme, but also for studying the frequency of the G6PD genotypes. The purpose of this study was to develop a simple, inexpensive and accurate method for detecting these common mutations. Microarray-based assay was described in this study. Samples from 198 G6PD-deficient persons were investigated. The DNA sequencing data supported the results obtained by microarray-based assay. Thus, we concluded that the microarray-based assay is a rapid, simple, inexpensive, and accurate method for detecting the most common G6PD gene mutations among the Chinese. This method involves the selective amplification of human G6PD gene with specific oligonucleotide primers, fragmentation and labeling of PCR products, followed by hybridization with allele-specific oligonucleotide (ASO) probes on chip.

Asian People↗
PubMed2003

The cell death regulator GRIM-19 is an inhibitor of signal transducer and activator of transcription 3.

GRIM-19 (gene associated with retinoid-IFN-induced mortality 19), isolated as a cell death activator in a genetic screen used to define mechanisms involved in IFN-beta- and retinoic acid-induced cell death, codes for a approximately 16-kDa protein that induces apoptosis in a number of cell lines. Antisense ablation of GRIM-19 caused resistance to cell death induced by IFN plus retinoic acid and conferred a growth advantage to cells. To understand the molecular bases for its cell death regulatory activity, we used a yeast two-hybrid screen and identified that the transcription factor STAT3 (signal transducer and activator of transcription 3) binds to GRIM-19. GRIM-19 inhibits transcription driven by activation of STAT3, but not STAT1. It neither inhibits the ligand-induced activation of STAT3 nor blocks its ability to bind to DNA. Mutational analysis indicates that the transactivation domain of STAT3, especially residue S727, is required for GRIM-19 binding. Because GRIM-19 does not bind significantly to other STATs, our studies identify a specific inhibitor of STAT3. Because constitutively active STAT3 up-regulates antiapoptotic genes to promote tumor survival, its inhibition by GRIM-19 also demonstrates an antioncogenic effect exerted by biological therapeutics.

Animals↗
PubMed2005

Long-oligomer microarray profiling in Neurospora crassa reveals the transcriptional program underlying biochemical and physiological events of conidial germination.

To test the inferences of spotted microarray technology against a biochemically well-studied process, we performed transcriptional profiling of conidial germination in the filamentous fungus, Neurospora crassa. We first constructed a 70 base oligomer microarray that assays 3366 predicted genes. To estimate the relative gene expression levels and changes in gene expression during conidial germination, we analyzed a circuit design of competitive hybridizations throughout a time course using a Bayesian analysis of gene expression level. Remarkable consistency of mRNA profiles with previously published northern data was observed. Genes were hierarchically clustered into groups with respect to their expression profiles over the time course of conidial germination. A functional classification database was employed to characterize the global picture of gene expression. Consensus motif searches identified a putative regulatory component associated with genes involved in ribosomal biogenesis. Our transcriptional profiling data correlate well with biochemical and physiological processes associated with conidial germination and will facilitate functional predictions of novel genes in N.crassa and other filamentous ascomycete species. Furthermore, our dataset on conidial germination allowed comparisons to transcriptional mechanisms associated with germination processes of diverse propagules, such as teliospores of the phytopathogenic fungus Ustilago maydis and spores of the social amoeba Dictyostelium discoideum.

Animals↗
PubMed2005

GenClust: a genetic algorithm for clustering gene expression data.

BACKGROUND: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designed and validated for the task. Despite the widespread use of artificial intelligence techniques in bioinformatics and, more generally, data analysis, there are very few clustering algorithms based on the genetic paradigm, yet that paradigm has great potential in finding good heuristic solutions to a difficult optimization problem such as clustering. RESULTS: GenClust is a new genetic algorithm for clustering gene expression data. It has two key features: (a) a novel coding of the search space that is simple, compact and easy to update; (b) it can be used naturally in conjunction with data driven internal validation methods. We have experimented with the FOM methodology, specifically conceived for validating clusters of gene expression data. The validity of GenClust has been assessed experimentally on real data sets, both with the use of validation measures and in comparison with other algorithms, i.e., Average Link, Cast, Click and K-means. CONCLUSION: Experiments show that none of the algorithms we have used is markedly superior to the others across data sets and validation measures; i.e., in many cases the observed differences between the worst and best performing algorithm may be statistically insignificant and they could be considered equivalent. However, there are cases in which an algorithm may be better than others and therefore worthwhile. In particular, experiments for GenClust show that, although simple in its data representation, it converges very rapidly to a local optimum and that its ability to identify meaningful clusters is comparable, and sometimes superior, to that of more sophisticated algorithms. In addition, it is well suited for use in conjunction with data driven internal validation measures and, in particular, the FOM methodology.

Algorithms↗
PubMed2005

Harshlight: a "corrective make-up" program for microarray chips.

BACKGROUND: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings, etc. Microarray scans do show similar artifacts, which might affect subsequent analysis. Although all but the starkest blemishes are hard to find by the unaided eye, particularly in high-density oligonucleotide arrays (HDONAs), few tools are available to help with the detection of those defects. RESULTS: We develop a novel tool, Harshlight, for the automatic detection and masking of blemishes in HDONA microarray chips. Harshlight uses a combination of statistic and image processing methods to identify three different types of defects: localized blemishes affecting a few probes, diffuse defects affecting larger areas, and extended defects which may invalidate an entire chip. CONCLUSION: We demonstrate the use of Harshlight can materially improve analysis of HDONA chips, especially for experiments with subtle changes between samples. For the widely used MAS5 algorithm, we show that compact blemishes cause an average of 8 gene expression values per chip to change by more than 50%, two of them by more than twofold; our masking algorithm restores about two thirds of this damage. Large-scale artifacts are successfully detected and eliminated.

Algorithms↗
PubMed2004

Utilization of a labeled tracking oligonucleotide for visualization and quality control of spotted 70-mer arrays.

BACKGROUND: Spotted 70-mer oligonucleotide arrays offer potentially greater specificity and an alternative to expensive cDNA library maintenance and amplification. Since microarray fabrication is a considerable source of data variance, we previously directly tagged cDNA probes with a third fluorophore for prehybridization quality control. Fluorescently modifying oligonucleotide sets is cost prohibitive, therefore, a co-spotted Staphylococcus aureus-specific fluorescein-labeled "tracking" oligonucleotide is described to monitor fabrication variables of a Mycobacterium tuberculosis oligonucleotide microarray. RESULTS: Significantly (p < 0.01) improved DNA retention was achieved printing in 15% DMSO/1.5 M betaine compared to the vendor recommended buffers. Introduction of tracking oligonucleotide did not effect hybridization efficiency or introduce ratio measurement bias in hybridizations between M. tuberculosis H37Rv and M. tuberculosis mprA. Linearity between the mean log Cy3/Cy5 ratios of genes differentially expressed from arrays either possessing or lacking the tracking oligonucleotide was observed (R2 = 0.90, p < 0.05) and there were no significant differences in Pearson's correlation coefficients of ratio data between replicates possessing (0.72 +/- 0.07), replicates lacking (0.74 +/- 0.10), or replicates with and without (0.70 +/- 0.04) the tracking oligonucleotide. ANOVA analysis confirmed the tracking oligonucleotide introduced no bias. Titrating target-specific oligonucleotide (40 microM to 0.78 microM) in the presence of 0.5 microM tracking oligonucleotide, revealed a fluorescein fluorescence inversely related to target-specific oligonucleotide molarity, making tracking oligonucleotide signal useful for quality control measurements and differentiating false negatives (synthesis failures and mechanical misses) from true negatives (no gene expression). CONCLUSIONS: This novel approach enables prehybridization array visualization for spotted oligonucleotide arrays and sets the stage for more sophisticated slide qualification and data filtering applications.

Analysis of Variance↗
PubMed2004

ProbeLynx: a tool for updating the association of microarray probes to genes.

As genome sequence data and gene prediction improve, probes developed for a given microarray experiment should be continuously re-evaluated for their specificity for given genes. ProbeLynx(www.pathogenomics.ca/probelynx) is a new web service which uses current genomic sequence information to re-examine microarray probe specificity and provide annotation updates relevant to determining which gene(s) and transcript(s) are associated with a given probe. Probe sequences (either oligonucleotide- or cDNA-based) are uploaded in FASTA format and the results returned as a tab-delimited flat file for insertion into a spreadsheet application or database management system for further analysis. ProbeLynx has been initially developed to focus on arrays derived from human, mouse, chicken and bovine genomes, but may be expanded to handle other genomic datasets. ProbeLynx offers microarray users the important ability to continuously assess the potential of a probe to cross-hybridize to paralogous genes and the suitability of a given probe to investigate a transcript of interest. By also including the latest gene function annotation information in the output, ProbeLynx provides the critical first step in updating microarray data annotation.

Animals↗
PubMed2005

Combinational synthesis of oligonucleotides and assembly fabrication of oligonucleotide array.

In this paper, a simple, reliable and flexible method, which integrated in situ synthesis with the spotting technique, was reported to fabricate oligonucleotide array. Different oligonucleotide sequences are synthesized on their relative code glass slides through combinational chemistry, thus the slides are broken into smaller pieces, in which the same code pieces have the same probe sequences. An oligonucleotide array is fabricated by arbitrarily assembling these different code pieces onto another solid substrate. In principle experimentation, four different sequences of P16 gene were synthesized and a 5 x 5 array including these four sequences and the control black was fabricated. The analysis results indicated that the hybridization fluorescence intensity of the same sequences locating different sets on the array gave the approximate values, and the fluorescence intensity ratio of matched sequence to one middle location base mismatched, two base mismatched, three middle base mismatched is (1.000+/-0.080):(0.4991+/-0.0671):(0.2360+/-0.0044):(0.0493+/-0.0033). Their relative accuracies were from 6.64 to 10.2%. This result might be used to rapidly screen single-nucleotide polymorphisms (SNPs).

Carbocyanines↗
PubMed2004

Towards a therapeutic inhibition of dystrophin exon 23 splicing in mdx mouse muscle induced by antisense oligoribonucleotides (splicomers): target sequence optimisation using oligonucleotide arrays.

BACKGROUND: The activity of synthetic antisense oligonucleotides (splicomers) designed to block pre-mRNA splicing at specific exons has been demonstrated in a number of model systems, including constitutively spliced exons in mouse dystrophin RNA. Splicomer reagents directed to Duchenne muscular dystrophy (DMD) RNAs might thus circumvent nonsense or frame-shifting mutations, leading to therapeutic expression of partially functional dystrophin, as occurs in the milder, allelic (Becker) form of the disease (BMD). METHODS: Functional and hybridisation array screens have been used to select optimised splicomers directed to exon 23 of dystrophin mRNA which carries a nonsense mutation in the mdx mouse. Splicomers were transfected into cultured primary muscle cells, and dystrophin mRNA assessed for exon exclusion. Splicomers were also administered to the muscles of mdx mice. RESULTS: Oligonucleotide array analyses with dystrophin pre-mRNA probes revealed strong and highly specific hybridisation patterns spanning the exon 23/intron 23 boundary, indicating an open secondary structure conformation in this region of the RNA. Functional screening of splicomer arrays by direct analysis of exon 23 RNA splicing in mdx muscle cultures identified a subset of biologically active reagents which target sequence elements associated with the 5' splice site region of dystrophin intron 23; splicomer-mediated exclusion of exon 23 was specific and dose-responsive up to a level exceeding 50% of dystrophin mRNA, and Western blotting demonstrated de novo expression of dystrophin protein at 2-5% of wild-type levels. Direct intramuscular administration of optimised splicomer reagents in vivo resulted in the reappearance of sarcolemmal dystrophin immunoreactivity in > 30% of muscle fibres in the mdx mouse CONCLUSIONS: These results suggest that correctly designed splicomers may have direct therapeutic value in vivo, not only for DMD, but also for a range of other genetic disorders.

Alleles↗
PubMed2004

Plasticity of gene expression in injured human dorsal root ganglia revealed by GeneChip oligonucleotide microarrays.

Root avulsion from the spinal cord occurs in brachial plexus lesions. It is the practice to repair such injuries by transferring an intact neighbouring nerve to the distal stump of the damaged nerve; avulsed dorsal root ganglia (DRG) are removed to enable nerve transfer. Such avulsed adult human cervical DRG ( [Formula: see text] ) obtained at surgery were compared to controls, for the first time, using GeneChip oligonucleotide arrays. We report 91 genes whose expression levels are clearly altered by the injury. This first study provides a global assessment of the molecular events or "gene switches" as a consequence of DRG injuries, as the tissues represent a wide range of surgical delay, from 1 to 100 days. A number of these genes are novel with respect to sensory ganglia, while others are known to be involved in neurotransmission, trophism, cytokine functions, signal transduction, myelination, transcription regulation, and apoptosis. Cluster analysis showed that genes involved in the same functional groups are largely positioned close to each other. This study represents an important step in identifying new genes and molecular mechanisms in human DRG, with potential therapeutic relevance for nerve repair and relief of chronic neuropathic pain.

Adult↗