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Single-strand conformation polymorphism analysis by capillary and microchip electrophoresis: a fast, simple method for detection of common mutations in BRCA1 and BRCA2.

As a result of intensive studies on hereditary breast and ovarian cancers, two breast cancer susceptibility genes, BRCA1 and BRCA2, have been identified. In each gene, a small number of specific mutations have been found at relatively high frequency in certain ethnic populations. The mutations, 185delAG and 5382insC in BRCA1 and 6174delT in BRCA2, have been identified as common mutations in the Ashkenazi Jewish population, with a combined frequency of 2.0 to 2.5%. Women who have one of the above three common mutations are at a high risk of developing breast or ovarian cancer. Consequently, accurate and cost-effective detection of these three mutations may have important implications for risk assessment in susceptible women and men. In this report, we describe a fast and simple capillary electrophoresis (CE)-based method using a polymer network for screening the three common mutations in BRCA1 and BRCA2. Fluorescent dye-labeled primers (6-FAM-tagged) were used to amplify three DNA fragments of 258, 296, and 201 bp for detection of the 185delAG, 5382insC, and 6174delT mutations, respectively. After the PCR products were denatured, a single-strand conformation polymorphism (SSCP) profile could be obtained for each mutation in less than 10 min by CE in a polymer network. We demonstrate the potential provided by translating this assay to the microchip format where the SSCP analysis is complete in 120 s, representing only a fraction of the reduction in analysis time that can be achieved with microchip technology. The speed and simplicity of the SSCP methodology for detection of these mutations make it attractive for use in the clinical diagnostic laboratory.

BRCA1 Protein↗

Influence of segmenting fluids on efficiency, crossing point and fluorescence level in real time quantitative PCR.

The two-phase segmented flow approach to the processing and quantitative analysis of biological samples in microdevices offers significant advantages over the single-phase continuous flow methodology. Despite this, little is known about the compatibility of samples and reactants with segmenting fluids, although a number of investigators have reported reduced yield and inhibition of enzymatic reactions depending on the segmenting fluid employed. The current study addresses the compatibility of various segmenting fluids with real time quantitative PCR to understand the physicochemical requirements of this important reaction in biotechnology. The results demonstrate that creating a static segmenting fluid/PCR mix interface has a negligible impact on the reaction efficiency, crossing threshold and end fluorescence levels using a variety of segmenting fluids. The implication is then that the previously reported inhibitory effects are the result of the dynamic motion between the segmenting fluid and the sample in continuously flowing systems. The results presented here are a first step towards understanding the limitations of the segmented flow methodology, which are necessary to bring this approach into mainstream use.

Complex Mixtures↗

Microfluidic handling of PCR solution and DNA amplification on a reaction chamber array biochip.

A microfluidic biochip for conducting an array of polymerase chain reaction (PCR) simultaneously was fabricated to understand the microfluidic loading process of PCR solution into microfabricated glass reaction chambers. The geometrical factors of the microfluidic structure, including the shape and depth of the microchamber, shape and size of the microchannels were investigated on the formation of air bubbles trapped within the microchamber during the PCR solution loading process. Furthermore, the effects of surface properties of the microfluidic structure, including hydrophilicity of the microchamber and inlet channel, and hydrophobicity of the outlet channel, on the loading of PCR solution, especially on the formation of air bubbles were studied. As a result, the surface wetting property of the microchamber was found to be the main reason for the formation of the air bubbles inside the microchamber during the loading of PCR solution in the biochips. A solution to avoid the air trapping has been proposed and investigated.

DNA↗

Solution-phase DNA mutation scanning and SNP genotyping by nanoliter melting analysis.

Solution-phase, DNA melting analysis for heterozygote scanning and single nucleotide polymorphism (SNP) genotyping was performed in 10 nl volumes on a custom microchip. Human genomic DNA was PCR amplified in the presence of the saturating fluorescent dye, LCGreen Plus, and placed within microfluidic channels that were created between two glass slides. The microchip was heated at 0.1 degrees C/s with a Peltier device and viewed with an inverted fluorescence microscope modified for photomulitiplier tube detection. The melting data was normalized and the negative first derivative plotted against temperature. Mutation scanning for heterozygotes was easily performed by comparing the shape of the melting curve to homozygous standards. Genotyping of homozygotes by melting temperature (T(m)) required absolute temperature comparisons. Mutation scanning of ATM exon 17 and CFTR exon 10 identified single base change heterozygotes in 84 and 201 base-pair (bp) products, respectively. All genotypes at HFE C282Y were distinguished by simple melting analysis of a 40-bp fragment. Sequential analysis of the same sample on the gold-standard, commercial high-resolution melting instrument HR-1, followed by melting in a 10 nl reaction chamber, produced similar results. DNA melting analysis requires only minutes after PCR and is a simple method for genotyping and scanning that can be reduced to nanoliter volumes. Microscale systems for performing DNA melting reduce the reagents/DNA template required with a promise for high throughput analysis in a closed chamber without risk of contamination.

DNA↗

Sorghum bicolor's transcriptome response to dehydration, high salinity and ABA.

Genome wide changes in gene expression were monitored in the drought tolerant C4 cereal Sorghum bicolor, following exposure of seedlings to high salinity (150 mM NaCl), osmotic stress (20% polyethylene glycol) or abscisic acid (125 microM ABA). A sorghum cDNA microarray providing data on 12,982 unique gene clusters was used to examine gene expression in roots and shoots at 3- and 27-h post-treatment. Expression of approximately 2200 genes, including 174 genes with currently unknown functions, of which a subset appear unique to monocots and/or sorghum, was altered in response to dehydration, high salinity or ABA. The modulated sorghum genes had homology to proteins involved in regulation, growth, transport, membrane/protein turnover/repair, metabolism, dehydration protection, reactive oxygen scavenging, and plant defense. Real-time PCR was used to quantify changes in relative mRNA abundance for 333 genes that responded to ABA, NaCl or osmotic stress. Osmotic stress inducible sorghum genes identified for the first time included a beta-expansin expressed in shoots, actin depolymerization factor, inositol-3-phosphate synthase, a non-C4 NADP-malic enzyme, oleosin, and three genes homologous to 9-cis-epoxycarotenoid dioxygenase that may be involved in ABA biosynthesis. Analysis of response profiles demonstrated the existence of a complex gene regulatory network that differentially modulates gene expression in a tissue- and kinetic-specific manner in response to ABA, high salinity and water deficit. Modulation of genes involved in signal transduction, chromatin structure, transcription, translation and RNA metabolism contributes to sorghum's overlapping but nonetheless distinct responses to ABA, high salinity, and osmotic stress. Overall, this study provides a foundation of information on sorghum's osmotic stress responsive gene complement that will accelerate follow up biochemical, QTL and comparative studies.

Abscisic Acid↗

Heterosis and polymorphisms of gene expression in an elite rice hybrid as revealed by a microarray analysis of 9198 unique ESTs.

Despite the significant contributions of utilizing heterosis to crop productivity worldwide, the biological mechanisms of heterosis remained largely uncharacterized. In this study, we analyzed gene expression profiles of an elite rice hybrid and the parents at three stages of young panicle development, using a cDNA microarray consisting of 9198 expressed sequence tags (ESTs), with the objective to reveal patterns of gene expression that may be associated with heterosis in yield. A total of 8422 sequences showed hybridization signals in all three genotypes in at least one stage and 5771 sequences produced detectable signals in all slides. Significant differences in expression level were detected for 438 sequences among the three genotypes in at least one of the three stages, as determined by ANOVA validated with 100 permutations at P < 0.05. Significant mid-parent heterosis was detected for 141 sequences, which demonstrated the following features: a much larger number of sequences showed negative heterosis than ones showing positive heterosis; genes functioning in DNA replication and repair tended to show positive heterosis; genes functioning in carbohydrate metabolism, lipid metabolism, energy metabolism, translation, protein degradation, and cellular information processing showed negative heterosis; both positive and negative heterosis were observed for genes in amino acid metabolism, transcription, signal transduction, plant defense and transportation. The results are indicative of the biochemical and physiological activities taking place in the hybrid relative to the parents. Identification of genes showing expression polymorphisms among different genotypes and heterotic expression in the hybrid may provide new avenues for exploring the biological mechanisms underlying heterosis.

Analysis of Variance↗

Selectivity and sensitivity of a reagentless electrochemical DNA sensor studied by square wave voltammetry and fluorescence.

Poly(5-hydroxy-1,4-naphthoquinone-co-5-hydroxy-3-thioacetic acid-1,4-naphthoquinone)-modified electrode is used for the direct electrochemical detection of oligonucleotide hybridization. The polymer film presents well-defined electroactivity in the cathodic potential domain (between 0 and -0.8 V/SCE), due to the quinone group embedded into the polymer structure. The detection can be performed simply by square wave voltammetry. This sensor is a "signal-on" device and works with different oligonucleotide lengths, from 10 to 30 bases. Quantitative results from fluorescence are consistent with electrochemical data. It is confirmed that the signal increase in square wave voltammetry is unambiguously due to hybridization. The biosensor presents a detection limit of target of ca. 25 nM and is highly selective as it can discriminate single mismatch base.

Biosensing Techniques↗

Electrochemical biosensing based on universal affinity biocomposite platforms.

Rigid conducting biocomposites are versatile and effective transducing materials for the construction of a wide range of amperometric biosensors such as immunosensors, genosensors and enzymosensors, particularly if the transducer is bulk-modified with universal affinity biomolecules. The strept(avidin)-graphite-epoxy biocomposite could be considered as an universal immobilization platform whereon biotinylated DNAs, oligonucleotides, enzymes or antibodies can be captured by means of the highly affinity (strept)avidin-biotin reaction. Universal affinity biocomposite-based biosensors offer many potential advantages compared to more traditional electrochemical biosensors commonly based on a biologically surface-modified transducer. The integration of many materials into one matrix is their main advantage. As biological bulk-modified materials, the conducting biocomposites act not only as transducers, but also as reservoir for the biomaterial. After its use, the electrode surface can be renewed by a simple polishing procedure, establishing a clear advantage of these approaches relative to classical biosensors and other common biological assays. Moreover, the same material is useful for the analysis of many molecules whose determinations are based on genetic, enzymatic or immunological reactions. The different strategies for electrochemical genosensing, immunosensing and enzymosensing, all of them being dependent on the presence of a redox enzyme marker for the generation of the electrochemical signal, based on this universal affinity biocomposite platform are all presented and discussed.

Biosensing Techniques↗

Mechanistic perspectives for 1,2,4-trioxanes in anti-cancer therapy.

In addition to their well-known anti-malarial activity, artemisinin and its derivatives (1,2,4-trioxanes) possess potent activity against tumor cells in the nano- to micromolar range. Candidate genes that may contribute to the sensitivity and resistance of tumor cells to artemisinins were identified by pharmacogenomic and molecular pharmacological approaches. Target validation was performed using cell lines transfected with candidate genes or corresponding knockout cells. These genes are from classes with different biological function; for example, regulation of proliferation (BUB3, cyclins, CDC25A), angiogenesis (vascular endothelial growth factor and its receptor, matrix metalloproteinase-9, angiostatin, thrombospondin-1) or apoptosis (BCL-2, BAX). Artesunate triggers apoptosis both by p53-dependent and -independent pathways. Anti-oxidant stress genes (thioredoxin, catalase, gamma-glutamyl-cysteine synthetase, glutathione S-transferases) as well as the epidermal growth factor receptor confer resistance to artesunate. Cell lines over-expressing genes that confer resistance to established anti-tumor drugs (MDR1, MRP1, BCRP, dihydrofolate reductase, ribonucleotide reductase) were not cross-resistant to artesunate, indicating that this drug has a different target and is not subject to multidrug resistance. The Plasmodium translationally controlled tumor protein (TCTP) represents a known target protein of artemisinin and its derivatives in the malaria parasite. The microarray-based mRNA expression of human TCTP correlated with sensitivity to artesunate in tumor cells, suggesting that human TCTP contributes to response of tumor cells to the drug. The multi-factorial nature of cellular response to artemisinin and its derivatives may be beneficial to treat otherwise drug-resistant tumors and may explain why resistance development has not been observed in either cancer or malaria.

Animals↗

Co-clustering and visualization of gene expression data and gene ontology terms for Saccharomyces cerevisiae using self-organizing maps.

We propose a novel co-clustering algorithm that is based on self-organizing maps (SOMs). The method is applied to group yeast (Saccharomyces cerevisiae) genes according to both expression profiles and Gene Ontology (GO) annotations. The combination of multiple databases is supposed to provide a better biological definition and separation of gene clusters. We compare different levels of genome-wide co-clustering by weighting the involved sources of information differently. Clustering quality is determined by both general and SOM-specific validation measures. Co-clustering relies on a sufficient correlation between the different datasets. We investigate in various experiments how much GO information is contained in the applied gene expression dataset and vice versa. The second major contribution is a visualization technique that applies the cluster structure of SOMs for a better biological interpretation of gene (expression) clusterings. Our GO term maps reveal functional neighborhoods between clusters forming biologically meaningful functional SOM regions. To cope with the high variety and specificity of GO terms, gene and cluster annotations are mapped to a reduced vocabulary of more general GO terms. In particular, this advances the ability of SOMs to act as gene function predictors.

Artificial Intelligence↗

A diffusion-reaction model for DNA microarray assays.

DNA microarrays are extensively used for the quantification of the degree of differential mRNA expression. The assay involves hybridization of mobile DNA strands with immobilized complementary DNA strands to form duplexes. The overall duplex formation rate depends on the rate of transport of strands in solution to the corresponding spot on the surface, and the rate of the hybridization reaction. We present a theoretical model that incorporates both kinetics of the reversible hybridization reaction and diffusional transport of the labeled strands, and analyze DNA microarray hybridization using this model. Simulations are carried out in a geometrically realistic domain for labeled DNA concentrations corresponding to rare and abundant transcripts for typical assay conditions. The rate of strand diffusion in solution is shown to strongly affect the overall hybridization rate. We compute the minimum inter-spot spacing for replicate spots to enhance sensitivity. We also determine the hybridization time for which reliable estimates of the relative mRNA abundance of two species can be obtained using total fluorescence intensities. An analytical solution for the concentration distribution of mobile strands at intermediate hybridization times provides a convenient tool to calculate the mobile strand concentration profiles. This model provides a framework for the process analysis of all microarray assays currently used for genomic transcriptional analysis.

Computer-Aided Design↗

Expression profiling by oligonucleotide microarrays spotted on coated polymer slides.

We have developed a ready-to-spot polymer microarray slide, which is coated with a uniform layer of reactive electrophilic groups using anthraquinone-mediated photo-coupling chemistry. The slide coating reduces the hydrophobicity of the native polymer significantly, thereby enabling robust and efficient one-step coupling of spotted 5' amino-linked oligonucleotides onto the polymer slide. The utility of the coated polymer slide in gene expression profiling was assessed by fabrication of spotted oligonucleotide microarrays using a collection of 5' amino-linked 70-mer oligonucleotide probes representing 96 yeast genes from Operon. Two-colour hybridizations with labelled cDNA target pools derived from standard grown and heat-shocked wild type yeast cells could reproducibly measure heat shock induced expression of seven different heat shock protein (HSP) genes. Moreover, the observed fold changes were comparable to those reported previously using spotted cDNA arrays and high-density 25-mer oligonucleotide arrays from Affymetrix. The low hybridization signals obtained from the DeltaSSA4 mutant cDNA target, together with the high signal detected in two-colour hybridizations with heat-shocked wild type yeast relative to the DeltaSSA4 mutant strain implies that unspecific binding of cDNA target to the SSA4-specific 70-mer oligonucleotide probes is negligible. Combined, our results indicate that the coated polymer microarray slide represents a robust and cost-effective array platform for pre-spotted oligonucleotide arrays.

Adsorption↗

Impact of RNA degradation on gene expression profiles: assessment of different methods to reliably determine RNA quality.

DNA microarray technology enables investigators to measure the expression of several 1000 mRNA species simultaneously in a biological specimen. However, the reliability of the microarray technology to detect transcriptional differences representative of the original samples is affected by the quality of the extracted RNA. Thus, it is of critical importance to standardize sample-handling protocols and to perform a quality assessment of RNA preparations. In this report, 59 human tissue samples were used to evaluate the relationships between RNA quality and gene expression. From Affymetrix GeneChip array data analysis of these samples, we compared the performance of the 28S/18S ratio, two computer methods (RIN and degradometer) and our in-house RNA quality scale (RQS) in assessing RNA quality. The optimal RNA reliability threshold was determined for each method using statistical discrimination measures. We showed that RQS, RIN and degradometer have a similar capacity to detect reliable RNA samples whereas the 28S/18S ratio leads to a misleading categorization. Furthermore, we developed a new approach, based on clustering analyses of full chip expression, to control RNA quality after hybridization experiments. The combination of these methods, allowing monitoring of RNA quality prior to and after the hybridization experiments, ensured reliable and reproducible microarray data.

Cluster Analysis↗

Comparison of supervised clustering methods to discriminate genotoxic from non-genotoxic carcinogens by gene expression profiling.

Prediction of the toxic properties of chemicals based on modulation of gene expression profiles in exposed cells or animals is one of the major applications of toxicogenomics. Previously, we demonstrated that by Pearson correlation analysis of gene expression profiles from treated HepG2 cells it is possible to correctly discriminate and predict genotoxic from non-genotoxic carcinogens. Since to date many different supervised clustering methods for discrimination and prediction tests are available, we investigated whether application of the methods provided by the Whitehead Institute and Stanford University improved our initial prediction. Four different supervised clustering methods were applied for this comparison, namely Pearson correlation analysis (Pearson), nearest shrunken centroids analysis (NSC), K-nearest neighbour analysis (KNN) and Weighted voting (WV). For each supervised clustering method, three different approaches were followed: (1) using all the data points for all treatments, (2) exclusion of the samples with marginally affected gene expression profiles and (3) filtering out the gene expression signals that were hardly altered. On the complete data set, NSC, KNN and WV outperformed the Pearson test, but on the reduced data sets no clear difference was observed. Exclusion of samples with marginally affected profiles improved the prediction by all methods. For the various prediction models, gene sets of different compositions were selected; in these 27 genes appeared three times or more. These 27 genes are involved in many different biological processes and molecular functions, such as apoptosis, cell cycle control, regulation of transcription, and transporter activity, many of them related to the carcinogenic process. One gene, BAX, was selected in all 10 models, while ZFP36 was selected in 9, and AHR, MT1E and TTR in 8. Summarising, this study demonstrates that several supervised clustering methods can be used to discriminate certain genotoxic from non-genotoxic carcinogens by gene expression profiling in vitro in HepG2 cells. None of the methods clearly outperforms the others.

Carcinogens↗

Promising molecular techniques for discriminating among follicular thyroid neoplasms.

To guide the extent of thyroidectomy for indeterminate follicular neoplasm (FN), clinicians have long sought ways to differentiate follicular adenoma from carcinoma pre- or intraoperatively. Several promising molecular techniques have recently appeared including loss of heterozygosity analysis and molecular profiling microarray analysis. These new tools may also prove useful in determining prognosis, thus and allow a paradigm change in current management of the thyroid nodule.

Adenocarcinoma, Follicular↗

Emerging role of genomics in endometriosis research.

OBJECTIVE: Rapidly evolving methods in genomics and proteomics research already are changing the nature of biomedical investigation. In this report we briefly review some of the seminal technological advances that inspired the genomics revolution and describe their application in the field of endometriosis research. DESIGN: Review of different techniques successfully applied to endometriosis research. SETTING: Collaborative investigation in academic and pharmaceutical industry laboratories. PATIENT(S): Biopsies were obtained from consenting ovulatory women on no medications, with or without laparoscopically proven endometriosis. RESULT(S): Genomics techniques have confirmed gene products shown to be abnormally expressed in endometriotic tissues by prior studies. In addition, identification of novel transcripts not previously appreciated in this condition were discovered. Examples of dysregulated genes in endometriosis include glycodelin, complement, early growth response-1 and transducer of erbB-1. CONCLUSION(S): Global gene profiling studies are poised to revolutionize the diagnosis and treatment of endometriosis and other human diseases.

Biopsy↗

Gene expression profile in the regenerating rat liver after partial hepatectomy.

BACKGROUND/AIMS: When a loss of hepatic mass occurs, the expression of a large number of genes is either induced or altered, accompanying hepatocyte proliferation. In the present study, we made an in-house cDNA microarray containing 4608 elements (Liver chip), and analyzed extensively gene expression profiles of the regenerating liver after 70% partial hepatectomy (PHx) in rats. METHODS: RNAs were prepared from three rat livers at each time point (taken at 0, 6, 12, 18, 24, 48, 72 h, and 1 week after PHx). Using the liver chip, we performed large-scale analysis of gene expression during liver regeneration. Elements either up- or down-regulated more than twofold at one or more time points were selected. RESULTS: Among the 4608, 382 were identified. Using cluster analysis, we found great similarity between gene-expression profiles at 12 and 18 h after PHx as well as between 48 and 72 h after PHx. We also found that there are at least six distinct temporal patterns of gene expression in the regenerating rat liver after PHx. CONCLUSIONS: These results indicated that microarray analysis is a powerful approach for monitoring molecular events in the regenerating liver.

Animals↗