Light-directed 5'-->3' synthesis of complex oligonucleotide microarrays

Photochemistry of 2-Nitroarenes: 2-Nitrophenyl-α-trifluoromethyl Carbinols as Synthons for Fluoroorganics

Facile synthesis of a new series of 2,2'-bis(trifluoroacetyl) azoxybenzene derivatives and trifluoromethylated benzo[c]isoxazoline systems, along with trifluoroacetyl nitrosobenzene derivatives was achieved by solvent controlled photolysis of appropriate 2-nitrobenzyl alcohols. Corresponding photoactive 2-nitrobenzyl chromophore plays a distinct role in this photosynthetic process, while, quite unprecedented, pertinent fluoromethyl substitution leads to high value fluoromethylated products, whose direct access is not feasible by common synthetic protocols. The significance of fluorine and fluoroalkyl substitution and its prominent biological effects makes this new photochemical approach an important discovery in synthetic methodology. Plausible mechanistic pathways involved in the formation of the products during steady-state photolysis are further established by picosecond laser flash photolysis experiments.

Fabrication of Inverted High-Density DNA Microarrays in a Hydrogel

Current techniques for making high-resolution, photolithographic DNA microarrays suffer from the limitation that the 3' end of each sequence is anchored to a hard substrate and hence is unavailable for many potential enzymatic reactions. Here, we demonstrate a technique that inverts the entire microarray into a hydrogel. This method preserves the spatial fidelity of the original pattern while simultaneously removing incorrectly synthesized oligomers that are inherent to all other microarray fabrication strategies. First, a standard 5'-up microarray on a donor wafer is synthesized, in which each oligo is anchored with a cleavable linker at the 3' end and an Acrydite phosphoramidite at the 5' end. Following the synthesis of the array, an acrylamide monomer solution is applied to the donor wafer, and an acrylamide-silanized acceptor wafer is placed on top. As the polyacrylamide hydrogel forms between the two wafers, it covalently incorporates the acrydite-terminated sequences into the matrix. Finally, the oligos are released from the donor wafer upon immersing in an ammonia solution that cleaves the 3'-linkers, thus freeing the oligos at the 3' end. The array is now presented 3'-up on the surface of the gel-coated acceptor wafer. Various types of on-gel enzymatic reactions demonstrate a versatile and robust platform that can easily be constructed with far more molecular complexity than traditional photolithographic arrays by endowing the system with multiple enzymatic substrates. We produce a new generation of microarrays where highly ordered, purified oligos are inverted 3'-up, in a biocompatible soft hydrogel, and functional with respect to a wide variety of programable enzymatic reactions.

High-Efficiency Reverse (5'→3') Synthesis of Complex DNA Microarrays

DNA microarrays are important analytical tools in genetics and have recently found multiple new biotechnological roles in applications requiring free 3' terminal hydroxyl groups, particularly as a starting point for enzymatic extension via DNA or RNA polymerases. Here we demonstrate the highly efficient reverse synthesis of complex DNA arrays using a photolithographic approach. The method is analogous to conventional solid phase synthesis but makes use of phosphoramidites with the benzoyl-2-(2-nitrophenyl)-propoxycarbonyl (BzNPPOC) photolabile protecting group on the 3'-hydroxyl group. The use of BzNPPOC, with more than twice the photolytic efficiency of the 2-(2-nitrophenyl)-propoxycarbonyl (NPPOC) previously used for 5'→3' synthesis, combined with additional optimizations to the coupling and oxidation reactions results in an approximately 3-fold improvement in the reverse synthesis efficiency of complex arrays of DNA oligonucleotides. The coupling efficiencies of the reverse phosphoramidites are as good as those of regular phosphoramidites, resulting in comparable yields. Microarrays of DNA surface tethered on the 5' end and with free 3' hydroxyl termini can be synthesized quickly and with similarly high stepwise coupling efficiency as microarrays using conventional 3'→5' synthesis.

Technical issues in DNA microarray production and utilization: impact on clinical research

The adoption and utilization of genomic technologies in healthcare requires that many issues surrounding the integrity of these assay platforms, as well as their overall impact on human health, be definitive. Many concerns common to DNA microarray production must be addressed to exploit the high-content screening capabilities of this assay platform for both genotyping and gene expression profiling in the clinic. Equally important to the success of genomic technology in healthcare is the development of a supporting information system that offers impact at both the personal and population level, and facilitates the adoption, use and, ultimately, impact of genomic information in therapeutic decision support.

Comprehensive transcriptome analysis of the periodontopathogenic bacterium Porphyromonas gingivalis W83

High-density tiling microarray and RNA sequencing technologies were used to analyze the transcriptome of the periodontopathogenic bacterium Porphyromonas gingivalis. The compiled P. gingivalis transcriptome profiles were based on total RNA samples isolated from three different laboratory culturing conditions, and the strand-specific transcription profiles generated covered the entire genome, including both protein coding and noncoding regions. The transcription profiles revealed various operon structures, 5'- and 3'-end untranslated regions (UTRs), differential expression patterns, and many novel, not-yet-annotated transcripts within intergenic and antisense regions. Further transcriptome analysis identified the majority of the genes as being expressed within operons and most 5' and 3' ends to be protruding UTRs, of which several 3' UTRs were extended to overlap genes carried on the opposite/antisense strand. Extensive antisense RNAs were detected opposite most insertion sequence (IS) elements. Pairwise comparative analyses were also performed among transcriptome profiles of the three culture conditions, and differentially expressed genes and metabolic pathways were identified. With the growing realization that noncoding RNAs play important biological functions, the discovery of novel RNAs and the comprehensive transcriptome profiles compiled in this study may provide a foundation to further understand the gene regulation and virulence mechanisms in P. gingivalis. The transcriptome profiles can be viewed at and downloaded from the Microbial Transcriptome Database website, http://bioinformatics.forsyth.org/mtd.

Detection and identification of common food-borne viruses with a tiling microarray

Microarray hybridization based identification of viral genotypes is increasingly assuming importance due to outbreaks of multiple pathogenic viruses affecting humans causing wide-spread morbidity and mortality. Surprisingly, microarray based identification of food-borne viruses, one of the largest groups of pathogenic viruses, causing more than 1.5 billion infections world-wide every year, has lagged behind. Cell-culture techniques are either unavailable or time consuming for routine application. Consequently, current detection methods for these pathogens largely depend on polymerase chain reaction (PCR) based techniques, generally requiring an investigator to preselect the target virus of interest. Here we describe the first attempt to use the microarray as an identification tool for these viruses. We have developed methodology to synthesize targets for virus identification without using PCR, making the process genuinely sequence independent. We show here that a tiling microarray can simultaneously detect and identify the genotype and strain of common food-borne viruses in a single experiment.

Probing genomic diversity and evolution of Streptococcus suis serotype 2 by NimbleGen tiling arrays

BACKGROUND

Our previous studies revealed that a new disease form of streptococcal toxic shock syndrome (STSS) is associated with specific Streptococcus suis serotype 2 (SS2) strains. To achieve a better understanding of the pathogenicity and evolution of SS2 at the whole-genome level, comparative genomic analysis of 18 SS2 strains, selected on the basis of virulence and geographic origin, was performed using NimbleGen tiling arrays.

RESULTS

Our results demonstrate that SS2 isolates have highly divergent genomes. The 89K pathogenicity island (PAI), which has been previously recognized as unique to the Chinese epidemic strains causing STSS, was partially included in some other virulent and avirulent strains. The ABC-type transport systems, encoded by 89K, were hypothesized to greatly contribute to the catastrophic features of STSS. Moreover, we identified many polymorphisms in genes encoding candidate or known virulence factors, such as PlcR, lipase, sortases, the pilus-associated proteins, and the response regulator RevS and CtsR. On the basis of analysis of regions of differences (RDs) across the entire genome for the 18 selected SS2 strains, a model of microevolution for these strains is proposed, which provides clues into Streptococcus pathogenicity and evolution.

CONCLUSIONS

Our deep comparative genomic analysis of the 89K PAI present in the genome of SS2 strains revealed details into how some virulent strains acquired genes that may contribute to STSS, which may lead to better environmental monitoring of epidemic SS2 strains.

Microarray analysis of gene expression during early development: a cautionary overview

The rise of the 'omics' technologies started nearly a decade ago and, among them, transcriptomics has been used successfully to contrast gene expression in mammalian oocytes and early embryos. The scarcity of biological material that early developmental stages provide is the prime reason why the field of transcriptomics is becoming more and more popular with reproductive biologists. The potential to amplify scarce mRNA samples and generate the necessary amounts of starting material enables the relative measurement of RNA abundance of thousands of candidates simultaneously. So far, microarrays have been the most commonly used high-throughput method in this field. Microarray platforms can be found in a wide variety of formats, from cDNA collections to long or short oligo probe sets. These platforms generate large amounts of data that require the integration of comparative RNA abundance values in the physiological context of early development for their full benefit to be appreciated. Unfortunately, significant discrepancies between datasets suggest that direct comparison between studies is difficult and often not possible. We have investigated the sample-handling steps leading to the generation of microarray data produced from prehatching embryo samples and have identified key steps that significantly impact the downstream results. This review provides a discussion on the best methods for the preparation of samples from early embryos for microarray analysis and focuses on the challenges that impede dataset comparisons from different platforms and the reasons why methodological benchmarking performed using somatic cells may not apply to the atypical nature of prehatching development.

Global transcriptomics analysis of the Desulfovibrio vulgaris change from syntrophic growth with Methanosarcina barkeri to sulfidogenic metabolism

Desulfovibrio vulgaris is a metabolically flexible micro-organism. It can use sulfate as an electron acceptor to catabolize a variety of substrates, or in the absence of sulfate can utilize organic acids and alcohols by forming a syntrophic association with a hydrogen-scavenging partner to relieve inhibition by hydrogen. These alternative metabolic types increase the chance of survival for D. vulgaris in environments where one of the potential external electron acceptors becomes depleted. In this work, whole-genome D. vulgaris microarrays were used to determine relative transcript levels as D. vulgaris shifted its metabolism from syntrophic in a lactate-oxidizing dual-culture with Methanosarcina barkeri to a sulfidogenic metabolism. Syntrophic dual-cultures were grown in two independent chemostats and perturbation was introduced after six volume changes with the addition of sulfate. The results showed that 132 genes were differentially expressed in D. vulgaris 2 h after addition of sulfate. Functional analyses suggested that genes involved in cell envelope and energy metabolism were the most regulated when comparing syntrophic and sulfidogenic metabolism. Upregulation was observed for genes encoding ATPase and the membrane-integrated energy-conserving hydrogenase (Ech) when cells shifted to a sulfidogenic metabolism. A five-gene cluster encoding several lipoproteins and membrane-bound proteins was downregulated when cells were shifted to a sulfidogenic metabolism. Interestingly, this gene cluster has orthologues found only in another syntrophic bacterium, Syntrophobacter fumaroxidans, and four recently sequenced Desulfovibrio strains. This study also identified several novel c-type cytochrome-encoding genes, which may be involved in the sulfidogenic metabolism.

Providing a stable methodological basis for comparing transcript abundance of developing embryos using microarrays

High throughput methods deliver large amount of data serving to describe the physiological treatment that is being studied. In the case of microarrays, there would be a clear benefit to integrate the published data sets. However, the numerous methodological discrepancies between microarray platforms make this comparison impossible. This incompatibility is magnified when considering the peculiar context of transcript management in early embryogenesis. The total RNA content is known to profoundly fluctuate during development. In addition, the mRNA population is subjected to poly(A) tail shortening and elongating events, a characteristic of stored and recruited messengers. These intrinsic factors need to be considered when interpreting any transcript abundance profiles during early development. As a consequence, many methodological details affect microarray platform performances and prevent compatibility. In an effort to maximize our microarray platform performance, we determined the various sources of variation for every one of the main steps leading to the production of microarray data. The five main steps involved in sample preparation were evaluated, as well as conditions for post-hybridization validation by qRT-PCR. These determinations were essential for the implementation of standardized procedures for our Research Network but they can also provide insight into the compatibility issues that the microarray community is now facing.

Broad spectrum microarray for fingerprint-based bacterial species identification

BACKGROUND

Microarrays are powerful tools for DNA-based molecular diagnostics and identification of pathogens. Most target a limited range of organisms and are based on only one or a very few genes for specific identification. Such microarrays are limited to organisms for which specific probes are available, and often have difficulty discriminating closely related taxa. We have developed an alternative broad-spectrum microarray that employs hybridisation fingerprints generated by high-density anonymous markers distributed over the entire genome for identification based on comparison to a reference database.

RESULTS

A high-density microarray carrying 95,000 unique 13-mer probes was designed. Optimized methods were developed to deliver reproducible hybridisation patterns that enabled confident discrimination of bacteria at the species, subspecies, and strain levels. High correlation coefficients were achieved between replicates. A sub-selection of 12,071 probes, determined by ANOVA and class prediction analysis, enabled the discrimination of all samples in our panel. Mismatch probe hybridisation was observed but was found to have no effect on the discriminatory capacity of our system.

CONCLUSIONS

These results indicate the potential of our genome chip for reliable identification of a wide range of bacterial taxa at the subspecies level without laborious prior sequencing and probe design. With its high resolution capacity, our proof-of-principle chip demonstrates great potential as a tool for molecular diagnostics of broad taxonomic groups.

Chemical strategies for immobilization of oligonucleotides

The development of oligonucleotide-based microarrays (biochips) is a major thrust area in the rapidly growing biotechnology industry, which encompasses a diverse range of research areas including genomics, proteomics, computational biology, and pharmaceuticals, among other activities. Microarray experiments have proved to be unique in offering cost-effective and efficient analysis at the genomic level. In the last few years, biochips have gained increasing acceptance in the study of genetic and cellular processes. As the increase in experimental throughput has posed many challenges to the research community, considerable progress has been made in the advancement of microarray technology. In this review, chemical strategies for immobilization of oligonucleotides have been highlighted with special emphasis on post-synthetic immobilization of oligonucleotides on glass surface. The major objective of this article is to make the researchers acquainted with some most recent advances in this area.

Reverse-direction (5'-->3') synthesis of oligonucleotides containing a 3'-S-phosphorothiolate linkage and 3'-terminal 3'-thionucleosides

The synthesis of oligodeoxynucleotides containing 3'-thionucleosides has been explored using a reverse-direction (5'-->3') approach, based on nucleoside monomers which contain a trityl- or dimethoxytrityl-protected 3'-thiol and a 5'-O-phosphoramidite. These monomers are relatively simple to prepare as trityl-based protecting groups were introduced selectively at a 3'-thiol in preference to a 5'-hydroxyl group. As an alternative approach, trityl group migration could be induced from the 5'-oxygen to the 3'-thiol function. 5'-->3' Synthesis of oligonucleotides gave relatively poor yields for the internal incorporation of 3'-thionucleosides [to give a 3'-S-phosphorothiolate (3'-SP) linkage] and multiple 3'-SP modifications could not be introduced by this method. However, the reverse direction approach provided an efficient route to oligonucleotides terminating with a 3'-thionucleoside. The direct synthesis of these thio-terminating oligomers has not previously been reported and the methods described are applicable to 2'-deoxy-3'-thionucleosides derived from thymine, cytosine and adenine.

An efficient algorithm for the stochastic simulation of the hybridization of DNA to microarrays

Background

Although oligonucleotide microarray technology is ubiquitous in genomic research, reproducibility and standardization of expression measurements still concern many researchers. Cross-hybridization between microarray probes and non-target ssDNA has been implicated as a primary factor in sensitivity and selectivity loss. Since hybridization is a chemical process, it may be modeled at a population-level using a combination of material balance equations and thermodynamics. However, the hybridization reaction network may be exceptionally large for commercial arrays, which often possess at least one reporter per transcript. Quantification of the kinetics and equilibrium of exceptionally large chemical systems of this type is numerically infeasible with customary approaches.

Results

In this paper, we present a robust and computationally efficient algorithm for the simulation of hybridization processes underlying microarray assays. Our method may be utilized to identify the extent to which nucleic acid targets (e.g. cDNA) will cross-hybridize with probes, and by extension, characterize probe robustnessusing the information specified by MAGE-TAB. Using this algorithm, we characterize cross-hybridization in a modified commercial microarray assay.

Conclusions

By integrating stochastic simulation with thermodynamic prediction tools for DNA hybridization, one may robustly and rapidly characterize of the selectivity of a proposed microarray design at the probe and "system" levels. Our code is available at http://www.laurenzi.net.

Comparative genome analysis of high-level penicillin resistance in Streptococcus pneumoniae

Streptococcus pneumoniae strains with very high levels of penicillin resistance (minimum inhibitory concentration [MIC] >or=8 microg/ml) emerged in the 1990 s. Previous studies have traced the changes in penicillin binding proteins (PBP) that result in decreased penicillin susceptibility, and the role of several PBP genes in high-level resistance. In the present study, we investigated the changes that occurred at the two highest levels of penicillin resistance using NimbleGen's Comparative Genome Sequencing (CGS) technology. DNA from a highly resistant (Pen MIC 16 microg/ml) pneumococcus was used to serially transform the R6 strain to high-level resistance. Four distinct levels of penicillin resistance above the susceptible R6 strain (MIC 0.016 microg/ml) were identified. Using CGS technology, the entire genome sequences of the two highest levels of resistant transformants were examined for changes associated with the resistance phenotypes. At the third level of resistance, changes in PBPs 1a, 2b, and 2x were found, very similar to previous reports. At the fourth resistance level, two additional changes were observed in the R6 transformants. More changes were observed in PBP2x, as well as in peptidoglycan GlcNAc deacetylase (pdgA), which had a missense mutation in the coding region. Genetic transformation with polymerase chain reaction (PCR) products generated from the high-level resistant parent containing either the additional PBP2x or mutant pdgA gene did not increase the MIC of the third-level transformant. Only when both PCR products were simultaneously transformed into the third-level transformant did colonies emerge that were at the highest level of resistance (16-32 microg/ml), equivalent to the highly resistant parent strain. This is the first instance of the involvement of a variant pdgA gene in penicillin resistance. It is also clear from these experiments and the literature that there are multiple paths to the pneumococcus achieving high-level penicillin resistance.

Genomic diversity and evolution of Mycobacterium ulcerans revealed by next-generation sequencing

Mycobacterium ulcerans is the causative agent of Buruli ulcer, the third most common mycobacterial disease after tuberculosis and leprosy. It is an emerging infectious disease that afflicts mainly children and youths in West Africa. Little is known about the evolution and transmission mode of M. ulcerans, partially due to the lack of known genetic polymorphisms among isolates, limiting the application of genetic epidemiology. To systematically profile single nucleotide polymorphisms (SNPs), we sequenced the genomes of three M. ulcerans strains using 454 and Solexa technologies. Comparison with the reference genome of the Ghanaian classical lineage isolate Agy99 revealed 26,564 SNPs in a Japanese strain representing the ancestral lineage. Only 173 SNPs were found when comparing Agy99 with two other Ghanaian isolates, which belong to the two other types previously distinguished in Ghana by variable number tandem repeat typing. We further analyzed a collection of Ghanaian strains using the SNPs discovered. With 68 SNP loci, we were able to differentiate 54 strains into 13 distinct SNP haplotypes. The average SNP nucleotide diversity was low (average 0.06–0.09 across 68 SNP loci), and 96% of the SNP locus pairs were in complete linkage disequilibrium. We estimated that the divergence of the M. ulcerans Ghanaian clade from the Japanese strain occurred 394 to 529 thousand years ago. The Ghanaian subtypes diverged about 1000 to 3000 years ago, or even much more recently, because we found evidence that they evolved significantly faster than average. Our results offer significant insight into the evolution of M. ulcerans and provide a comprehensive report on genetic diversity within a highly clonal M. ulcerans population from a Buruli ulcer endemic region, which can facilitate further epidemiological studies of this pathogen through the development of high-resolution tools.

Mycobacterium ulcerans is the causative agent of Buruli ulcer (BU), a necrotizing skin disease and the third most common mycobacterial disease after tuberculosis and leprosy. It is an emerging infectious disease that afflicts mainly children and youths in West Africa. The disease is also found in tropical and subtropical regions of Asia, the Western Pacific, and Latin America. Limited knowledge of this neglected tropical disease is partially due to the lack of known genetic polymorphisms among isolates, which hinder the study of transmission, epidemiology, and evolution of M. ulcerans. Our aim is to systematically profile genetic diversity among M. ulcerans isolates by sequencing and comparing the genomes of selected strains. We identified single nucleotide polymorphisms (SNPs) within a highly clonal M. ulcerans population from a Buruli ulcer endemic region. Based on the SNPs discovered, we developed SNP typing assays and were able to differentiate a collection of M. ulcerans isolates from this Buruli ulcer endemic region into 13 SNP haplotypes. Our results lay the ground for developing a highly discriminatory and cost-effective tool to study M. ulcerans evolution and epidemiology at a population level.

Application of array-based whole genome scanning technologies as a cytogenetic tool in haematological malignancies

Karyotypic analysis provides useful diagnostic information in many haematological malignancies. However, standard metaphase cytogenetics has technical limitations that result in the underestimation of the degree of chromosomal changes. Array-based technologies can be used for karyotyping and can supplant some of the shortcomings of metaphase cytogenetics, and include single nucleotide polymorphism arrays (SNP-A) and comparative genomic hybridization arrays (CGH-A). Array-based cytogenetic tools do not rely on cell division, have superb resolution for unbalanced lesions and allow for the detection of copy number-neutral loss of heterozygosity, a type of lesion not seen with metaphase cytogenetics. Moreover, genomic array analysis is automated and results can be objectively and systematically analysed using biostatistical algorithms. As a potential advantage over genomic approaches, metaphase cytogenetics can detect balanced chromosomal defects and resolves clonal mosaicism. Initial studies performed in various haematological malignancies indicate the potential of SNP-A-based karyotyping as a useful clinical cytogenetic detection tool. The current effort is aimed at developing rational diagnostic algorithms for the detection of somatic defects and the establishment of clinical correlations for novel SNP-A-detected chromosomal defects, including acquired somatic uniparental disomy. SNP-A can complement metaphase karyotyping and will probably play an important role in clinical cytogenetic diagnostics.

Custom design and analysis of high-density oligonucleotide bacterial tiling microarrays

Background

High-density tiling microarrays are a powerful tool for the characterization of complete genomes. The two major computational challenges associated with custom-made arrays are design and analysis. Firstly, several genome dependent variables, such as the genome's complexity and sequence composition, need to be considered in the design to ensure a high quality microarray. Secondly, since tiling projects today very often exceed the limits of conventional array-experiments, researchers cannot use established computer tools designed for commercial arrays, and instead have to redesign previous methods or create novel tools.

Principal Findings

Here we describe the multiple aspects involved in the design of tiling arrays for transcriptome analysis and detail the normalisation and analysis procedures for such microarrays. We introduce a novel design method to make two 280,000 feature microarrays covering the entire genome of the bacterial species Escherichia coli and Neisseria meningitidis, respectively, as well as the use of multiple copies of control probe-sets on tiling microarrays. Furthermore, a novel normalisation and background estimation procedure for tiling arrays is presented along with a method for array analysis focused on detection of short transcripts. The design, normalisation and analysis methods have been applied in various experiments and several of the detected novel short transcripts have been biologically confirmed by Northern blot tests.

Conclusions

Tiling-arrays are becoming increasingly applicable in genomic research, but researchers still lack both the tools for custom design of arrays, as well as the systems and procedures for analysis of the vast amount of data resulting from such experiments. We believe that the methods described herein will be a useful contribution and resource for researchers designing and analysing custom tiling arrays for both bacteria and higher organisms.

A microarray based approach for the identification of common foodborne viruses

An oligonucleotide array (microarray) incorporating 13,000 elements representing selected strains of hepatitis A virus (HAV), human coxsackieviruses A and B (CVA and CVB), genogroups I and II of Norovirus (NV), and human rotavirus (RV) gene segments 3,4,10, and 11 was designed based on the principle of tiling. Each oligonucleotide was 29 bases long, starting at every 5th base of every sequence, resulting in an overlap of 24 bases in two consecutive oligonucleotides. The applicability of the array for virus identification was examined using PCR amplified products from multiple HAV and CV strains. PCR products labeled with biotin were hybridized to the array, and the biotin was detected using a brief reaction with Cy3-labeled streptavidin, the array subjected to laser scanning, and the hybridization data plotted as fluorescence intensity against each oligonucleotide in the array. The combined signal intensities of all probes representing a particular strain of virus were calculated and plotted against all virus strains identified on a linear representation of the array. The profile of the total signal intensity identified the strain that is most likely represented in the amplified cDNA target. The results obtained with HAV and CV indicated that the hybridization profile thus generated can be used to identify closely related viral strains. This represents a significant improvement over current methods for virus identification using PCR amplification and amplicon sequencing.

Microarray analyses of gene expression during the Tetrahymena thermophila life cycle

BACKGROUND

The model eukaryote, Tetrahymena thermophila, is the first ciliated protozoan whose genome has been sequenced, enabling genome-wide analysis of gene expression.

METHODOLOGY/PRINCIPAL FINDINGS

A genome-wide microarray platform containing the predicted coding sequences (putative genes) for T. thermophila is described, validated and used to study gene expression during the three major stages of the organism's life cycle: growth, starvation and conjugation.

CONCLUSIONS/SIGNIFICANCE

Of the approximately 27,000 predicted open reading frames, transcripts homologous to only approximately 5900 are not detectable in any of these life cycle stages, indicating that this single-celled organism does indeed contain a large number of functional genes. Transcripts from over 5000 predicted genes are expressed at levels >5x corrected background and 95 genes are expressed at >250x corrected background in all stages. Transcripts homologous to 91 predicted genes are specifically expressed and 155 more are highly up-regulated in growing cells, while 90 are specifically expressed and 616 are up-regulated during starvation. Strikingly, transcripts homologous to 1068 predicted genes are specifically expressed and 1753 are significantly up-regulated during conjugation. The patterns of gene expression during conjugation correlate well with the developmental stages of meiosis, nuclear differentiation and DNA elimination. The relationship between gene expression and chromosome fragmentation is analyzed. Genes encoding proteins known to interact or to function in complexes show similar expression patterns, indicating that co-ordinate expression with putative genes of known function can identify genes with related functions. New candidate genes associated with the RNAi-like process of DNA elimination and with meiosis are identified and the late stages of conjugation are shown to be characterized by specific expression of an unexpectedly large and diverse number of genes not involved in nuclear functions.

Fabrication of DNA microarray

There are many ways to fabricate DNA microarrays. The four main types of arrays are spotted arrays of pre-made DNA probes, in situ synthesis of DNA arrays, random bead arrays and suspension arrays. The different types of array can address different biological assays. Spotted arrays are suitable for application using small to medium number of probes, e.g. focused genotyping, bacterial diagnostics and gene expression analysis. In situ synthesized arrays and random bead arrays are suitable for applications where medium to large number of probes are needed such as genome wide screens for single nucleotide polymorphisms. Suspension arrays are suitable for applications requiring small number of probes. The chapter will include details of fabrication methods and a comparison of the strengths, weaknesses and future use of each method.

Detection of exonic copy-number changes using a highly efficient oligonucleotide-based comparative genomic hybridization-array method

Genomic copy-number variations (CNVs) involving large DNA segments are known to cause many genetic disorders. Depending on the changes, they are predicted to lead either to decreased or an increased gene expression. However, the ability to detect smaller exonic copy-number changes has not been explored. Here we describe a new oligonucleotide-based comparative genomic hybridization (CGH)-array approach for high-throughput detection of exonic deletions or duplications and its application to deletion/duplication analyses of the genes encoding CFTR, six sarcoglycans (SGCA, SGCB, SGCG, SGCD, SGCE, and SGCZ), and DMD. In this work we show the successful development of an array format containing 158 exons that collectively span eight genes and its clinical application for the rapid screening of deletions and duplications in a diagnostic setting. We have analyzed a series of 35 DNA samples from patients affected with cystic fibrosis (CF), Duchenne and Becker muscular dystrophies (DMD/BMD), or sarcoglycanopathies, and have characterized exonic copy-number changes that have been validated with other methods. Interestingly, even heterozygous deletions and duplications of only one exon, as well as mosaic deletions, were detected by this CGH approach. Our results showed that the resolution is very high, as abnormalities of about 1.5-2 kb could be detected. Since this approach is completely scalable, this new molecular tool will allow the screening of combinations of genes involved in a particular group of clinically and genetically heterogeneous disorders such as mental retardation, muscular dystrophies and brain malformations.

Novel genome polymorphisms in BCG vaccine strains and impact on efficacy

Bacille Calmette-Guérin (BCG) is an attenuated strain of Mycobacterium bovis currently used as a vaccine against tuberculosis. Global distribution and propagation of BCG has contributed to the in vitro evolution of the vaccine strain and is thought to partially account for the different outcomes of BCG vaccine trials. Previous efforts by several molecular techniques effectively identified large sequence polymorphisms among BCG daughter strains, but lacked the resolution to identify smaller changes. In this study, we have used a NimbleGen tiling array for whole genome comparison of 13 BCG strains. Using this approach, in tandem with DNA resequencing, we have identified six novel large sequence polymorphisms including four deletions and two duplications in specific BCG strains. Moreover, we have uncovered various polymorphisms in the phoP-phoR locus. Importantly, these polymorphisms affect genes encoding established virulence factors including cell wall complex lipids, ESX secretion systems, and the PhoP-PhoR two-component system. Our study demonstrates that major virulence factors are different among BCG strains, which provide molecular mechanisms for important vaccine phenotypes including adverse effect profile, tuberculin reactivity and protective efficacy. These findings have important implications for the development of a new generation of vaccines.

Whole genome scanning as a cytogenetic tool in hematologic malignancies

Over the years, methods of cytogenetic analysis evolved and became part of routine laboratory testing, providing valuable diagnostic and prognostic information in hematologic disorders. Karyotypic aberrations contribute to the understanding of the molecular pathogenesis of disease and thereby to rational application of therapeutic modalities. Most of the progress in this field stems from the application of metaphase cytogenetics (MC), but recently, novel molecular technologies have been introduced that complement MC and overcome many of the limitations of traditional cytogenetics, including a need for cell culture. Whole genome scanning using comparative genomic hybridization and single nucleotide polymorphism arrays (CGH-A; SNP-A) can be used for analysis of somatic or clonal unbalanced chromosomal defects. In SNP-A, the combination of copy number detection and genotyping enables diagnosis of copy-neutral loss of heterozygosity, a lesion that cannot be detected using MC but may have important pathogenetic implications. Overall, whole genome scanning arrays, despite the drawback of an inability to detect balanced translocations, allow for discovery of chromosomal defects in a higher proportion of patients with hematologic malignancies. Newly detected chromosomal aberrations, including somatic uniparental disomy, may lead to more precise prognostic schemes in many diseases.

Complete genome sequence of Treponema pallidum ssp. pallidum strain SS14 determined with oligonucleotide arrays

Background

Syphilis spirochete Treponema pallidum ssp. pallidum remains the enigmatic pathogen, since no virulence factors have been identified and the pathogenesis of the disease is poorly understood. Increasing rates of new syphilis cases per year have been observed recently.

Results

The genome of the SS14 strain was sequenced to high accuracy by an oligonucleotide array strategy requiring hybridization to only three arrays (Comparative Genome Sequencing, CGS). Gaps in the resulting sequence were filled with targeted dideoxy-terminators (DDT) sequencing and the sequence was confirmed by whole genome fingerprinting (WGF). When compared to the Nichols strain, 327 single nucleotide substitutions (224 transitions, 103 transversions), 14 deletions, and 18 insertions were found. On the proteome level, the highest frequency of amino acid-altering substitution polymorphisms was in novel genes, while the lowest was in housekeeping genes, as expected by their evolutionary conservation. Evidence was also found for hypervariable regions and multiple regions showing intrastrain heterogeneity in the T. pallidum chromosome.

Conclusion

The observed genetic changes do not have influence on the ability of Treponema pallidum to cause syphilitic infection, since both SS14 and Nichols are virulent in rabbit. However, this is the first assessment of the degree of variation between the two syphilis pathogens and paves the way for phylogenetic studies of this fascinating organism.

SNP-specific array-based allele-specific expression analysis

We have developed an optimized array-based approach for customizable allele-specific gene expression (ASE) analysis. The central features of the approach are the ability to select SNPs at will for detection, and the absence of need to PCR amplify the target. A surprisingly long probe length (39-49 nt) was needed for allelic discrimination. Reconstitution experiments demonstrate linearity of ASE over a broad range. Using this approach, we have discovered at least two novel imprinted genes, NLRP2, which encodes a member of the inflammasome, and OSBPL1A, which encodes a presumed oxysterol-binding protein, were both preferentially expressed from the maternal allele. In contrast, ERAP2, which encodes an aminopeptidase, did not show preferential parent-of-origin expression, but rather, cis-acting nonimprinted differential allelic control. The approach is scalable to the whole genome and can be used for discovery of functional epigenetic modifications in patient samples.

The transcription factor Mrr1p controls expression of the MDR1 efflux pump and mediates multidrug resistance in Candida albicans

Constitutive overexpression of the MDR1 (multidrug resistance) gene, which encodes a multidrug efflux pump of the major facilitator superfamily, is a frequent cause of resistance to fluconazole and other toxic compounds in clinical Candida albicans strains, but the mechanism of MDR1 upregulation has not been resolved. By genome-wide gene expression analysis we have identified a zinc cluster transcription factor, designated as MRR1 (multidrug resistance regulator), that was coordinately upregulated with MDR1 in drug-resistant, clinical C. albicans isolates. Inactivation of MRR1 in two such drug-resistant isolates abolished both MDR1 expression and multidrug resistance. Sequence analysis of the MRR1 alleles of two matched drug-sensitive and drug-resistant C. albicans isolate pairs showed that the resistant isolates had become homozygous for MRR1 alleles that contained single nucleotide substitutions, resulting in a P683S exchange in one isolate and a G997V substitution in the other isolate. Introduction of these mutated alleles into a drug-susceptible C. albicans strain resulted in constitutive MDR1 overexpression and multidrug resistance. By comparing the transcriptional profiles of drug-resistant C. albicans isolates and mrr1Δ mutants derived from them and of C. albicans strains carrying wild-type and mutated MRR1 alleles, we defined the target genes that are controlled by Mrr1p. Many of the Mrr1p target genes encode oxidoreductases, whose upregulation in fluconazole-resistant isolates may help to prevent cell damage resulting from the generation of toxic molecules in the presence of fluconazole and thereby contribute to drug resistance. The identification of MRR1 as the central regulator of the MDR1 efflux pump and the elucidation of the mutations that have occurred in fluconazole-resistant, clinical C. albicans isolates and result in constitutive activity of this trancription factor provide detailed insights into the molecular basis of multidrug resistance in this important human fungal pathogen.

The Candida albicans MDR1 (multidrug resistance) gene encodes a multidrug efflux pump of the major facilitator superfamily that is constitutively overexpressed in many fluconazole-resistant strains. Although MDR1 overexpression is a major cause of resistance to this widely used antifungal agent and other metabolic inhibitors, so far the molecular basis of MDR1 upregulation in resistant strains has remained elusive. By comparing the transcription profiles of MDR1 overexpressing, clinical C. albicans isolates and matched, drug-susceptible isolates from the same patients, we identified a transcription factor, termed multidrug resistance regulator 1 (MRR1), which was upregulated in all resistant isolates and turned out to be a central regulator of MDR1 expression. Resistant isolates contained point mutations in MRR1, which rendered the transcription factor constitutively active. Introduction of these mutated alleles into a susceptible strain caused MDR1 overexpression und multidrug resistance. Inactivation of MRR1 in clinical isolates abolished MDR1 expression and affected fluconazole resistance even more strongly than deletion of the MDR1 efflux pump itself, indicating that additional Mrr1p target genes, which were identified by genome-wide gene expression analysis, contribute to fluconazole resistance. These findings provide detailed insights into the molecular basis of multidrug resistance in one of the most important human fungal pathogens.

In situ oligonucleotide synthesis on carbon materials: stable substrates for microarray fabrication

Glass has become the standard substrate for the preparation of DNA arrays. Typically, glass is modified using silane chemistries to provide an appropriate functional group for nucleic acid synthesis or oligonucleotide immobilization. We have found substantial issues with the stability of these surfaces as manifested in the unwanted release of oligomers from the surface when incubated in aqueous buffers at moderate temperatures. To address this issue, we have explored the use of carbon-based substrates. Here, we demonstrate in situ synthesis of oligonucleotide probes on carbon-based substrates using light-directed photolithographic phosphoramidite chemistry and evaluate the stabilities of the resultant DNA arrays compared to those fabricated on silanized glass slides. DNA arrays on carbon-based substrates are substantially more stable than arrays prepared on glass. This superior stability enables the use of high-density DNA arrays for applications involving high temperatures, basic conditions, or where serial hybridization and dehybridization is desired.

Microarray-based DNA resequencing using 3' blocked primers

To exceed the throughput and accuracy of conventional sequencing technologies, we tested a method (pyrophosphorolysis-activated polymerization [PAP]) of nucleic acid amplification that uses 3' blocked primers (P*s). As proof-of-principle, we resequenced a 20-bp region of the factor IX gene with a microarray of P*s. P*s discriminate 3' end mismatches with ultra-high specificity as well as mismatches along their lengths with high specificity. We correctly identified two wild-type samples as well as all mismatches, including three single-base substitutions, one microdeletion, one microinsertion, and one heterozygous mutation. Despite limitations in the primer purity, the signal/noise ratio between the matched and mismatched P*s sometimes exceeded 1000. Thus, PAP resequencing shows great potential for accurate and high-throughput microarray-based resequencing.

Direct selection of human genomic loci by microarray hybridization

We applied high-density microarrays to the enrichment of specific sequences from the human genome for high-throughput sequencing. After capture of 6,726 approximately 500-base 'exon' segments, and of 'locus-specific' regions ranging in size from 200 kb to 5 Mb, followed by sequencing on a 454 Life Sciences FLX sequencer, most sequence reads represented selection targets. These direct selection methods supersede multiplex PCR for the large-scale analysis of genomic regions.

Genome-wide expression and location analyses of the Candida albicans Tac1p regulon

A major mechanism of azole resistance in Candida albicans is overexpression of the genes encoding the ATP binding cassette transporters Cdr1p and Cdr2p due to gain-of-function mutations in Tac1p, a transcription factor of the zinc cluster family. To identify the Tac1p regulon, we analyzed four matched sets of clinical isolates representing the development of CDR1- and CDR2-mediated azole resistance by using gene expression profiling. We identified 31 genes that were consistently up-regulated with CDR1 and CDR2, including TAC1 itself, and 12 consistently down-regulated genes. When a resistant strain deleted for TAC1 was examined similarly, expression of almost all of these genes returned to levels similar to those in the matched azole-susceptible isolate. Using genome-wide location (ChIP-chip) analysis (a procedure combining chromatin immunoprecipitation with hybridization to DNA intergenic microarrays), we found 37 genes whose promoters were bound by Tac1p in vivo, including CDR1 and CDR2. Sequence analysis identified nine new genes whose promoters contain the previously reported Tac1p drug-responsive element (CGGN(4)CGG), including TAC1. In total, there were eight genes whose expression was modulated in the four azole-resistant clinical isolates in a TAC1-dependent manner and whose promoters were bound by Tac1p, qualifying them as direct Tac1p targets: CDR1, CDR2, GPX1 (putative glutathione peroxidase), LCB4 (putative sphingosine kinase), RTA3 (putative phospholipid flippase), and orf19.1887 (putative lipase), as well as IFU5 and orf19.4898 of unknown function. Our results show that Tac1p binds under nonactivating conditions to the promoters of its targets, including to its own promoter. They also suggest roles for Tac1p in regulating lipid metabolism (mobilization and trafficking) and oxidative stress response in C. albicans.

Nucleotide sequence changes between Streptococcus pneumoniae R6 and D39 strains determined by an oligonucleotide hybridization DNA sequencing technology

The Gram-positive pathogen Streptococcus pneumoniae, which can be responsible for serious cases of pneumonia and meningitis, has been intensely studied for almost 100 years. Many of the key experiments have been performed in two strains; the non-pathogenic S. pneumoniae R6 and its pathogenic progenitor, S. pneumoniae D39. Whereas the genomic sequence of the R6 strain has been published, there is relatively little genomic information available on D39. Since R6 was derived from D39, we wished to explore the utility of a new technology, Comparative Genome Sequencing, which uses a set of custom oligonucleotide arrays to compare DNA sequences between similar strains. We report here the nucleotide polymorphisms identified between the R6 strain and D39 based on an R6 sequencing array. During the process, we were also able to confirm all of the high confidence changes reported by the oligonucleotide array chip by sequencing the region in the genome around the changes identified with the genome hybridization chip. We also discuss the potential impact of some of the amino acid changes found between these two widely used strains of pneumococci.

Interrogating genomic diversity of E. coli O157:H7 using DNA tiling arrays

Here, we describe a novel microarray-based approach for investigating the genomic diversity of Escherichia coli O157:H7 in a semi-high throughput manner using a high density, oligonucleotide-based microarray. This microarray, designed to detect polymorphisms at each of 60,000 base-pair (bp) positions within an E. coli genome, is composed of overlapping 29-mer oligonucleotides specific for 60 equally spaced, 1000-bp loci of the E. coli O157:H7 strain EDL933 chromosome. By use of a novel 12-well microarray that permitted the simultaneous investigation of 12 strains, the genomes of 44 individual isolates of E. coli O157:H7 were interrogated. These analyses revealed more than 150 single nucleotide polymorphisms (SNPs) and several deletions and amplifications in the test strains. Pyrosequencing was used to confirm the usefulness of the novel SNPs by determining their allelic frequency among a collection of diverse isolates of E. coli O157:H7. The tiling DNA microarray system would be useful for the tracking and identification of individual strains of E. coli O157:H7 needed for forensic investigations.

Transcriptional Profiling of Hematologic Malignancies with a Low-Density DNA Microarray

Background: High-density microarrays are powerful tools for expression analysis of thousands of genes simultaneously; however, experience with low-density microarrays in gene expression studies has been limited.

Methods: We developed an optimized procedure for gene expression analysis based on a microarray containing 538 oligonucleotides and used this procedure to analyze neoplastic cell lines and whole-blood samples from healthy individuals and patients with different hematologic neoplasias. Hierarchical clustering and the Welch t-test with adjusted P values were used for data analysis.

Results: This procedure detects 0.2 fmol of mRNA and generates a linear response of 2 orders of magnitude, with CV values of <20% for hybridization and label replicates. We found statistically significant differences between Jurkat and U937 cell lines, between blood samples from 15 healthy donors and 59 chronic lymphocytic leukemia (CLL) samples, and between 6 acute myeloid leukemia patients and 4 myelodysplastic syndrome patients. A classification system constructed from the expression data predicted healthy or CLL status from a whole-blood sample with a 97% success rate.

Conclusion: Transcriptional profiling of whole-blood samples was carried out without any cellular or sample manipulation before RNA extraction. This gene expression analysis procedure uncovered statistically significant differences associated with different hematologic neoplasias and made possible the construction of a classification system that predicts the healthy or CLL status from a whole-blood sample.

Light-directed synthesis of peptide nucleic acids (PNAs) chips

We report herein the light-directed synthesis of peptide nucleic acids (PNAs) microarray using PNA monomers protected by photolabile protecting groups and a maskless technique that uses a digital micromirror array system to form virtual masks. An ultraviolet image from the virtual mask was cast onto the active surface of a glass substrate, which was mounted in a flow cell reaction chamber connected to a peptide synthesizer. Light exposure was followed by automatic chemical coupling cycles and these steps were repeated with different virtual masks to grow the desired PNA probes in a selected pattern. In a preliminary experiment, an array of PNA probes with dimensions of 4.11 mm x 4.11 mm was generated on each slide. Each synthesis region in the final array measured 210 microm x 210 microm for a total of 256 sites. The center-to-center space was 260 microm. It was observed from the hybridization pattern of the fluorescently labeled oligonucleotide targets that the fluorescence intensities of the matched, and mismatched sequences showed substantial difference, demonstrating specificity in the identification of complementary sequences. This opens the way to exploit processes from the microelectronics industry for the fabrication of PNA microarrays with high densities.

Protein binding microarrays for the characterization of DNA-protein interactions

A number of important cellular processes, such as transcriptional regulation, recombination, replication, repair, and DNA modification, are performed by DNA binding proteins. Of particular interest are transcription factors (TFs) which, through their sequence-specific interactions with DNA binding sites, modulate gene expression in a manner required for normal cellular growth and differentiation, and also for response to environmental stimuli. Despite their importance, the DNA binding specificities of most DNA binding proteins still remain unknown, since prior technologies aimed at identifying DNA-protein interactions have been laborious, not highly scalable, or have required limiting biological reagents. Recently a new DNA microarray-based technology, termed protein binding microarrays (PBMs), has been developed that allows rapid, high-throughput characterization of the in vitro DNA binding site sequence specificities of TFs, other DNA binding proteins, or synthetic compounds. DNA binding site data from PBMs combined with gene annotation data, comparative sequence analysis, and gene expression profiling, can be used to predict what genes are regulated by a given TF, what the functions are of a given TF and its predicted target genes, and how that TF may fit into the cell's transcriptional regulatory network.

Introduction: array technology - an overview

Microarray technology has its roots in high-throughput parallel synthesis of biomacromolecules, combined with combinatorial science. In principle, the preparation of arrays can be performed either by in situ synthesis of biomacromolecules on solid substrates or by spotting of ex situ synthesized biomacromolecules onto the substrate surface. The application of microarrays includes spatial addressing with target (macro) molecules and screening for interactions between immobilized probe and target. The screening is simplified by the microarray format, which features a known structure of every immobilized library element. The area of nucleic acid arrays is best developed, because such arrays are allowed to follow the biosynthetic pathway from genes to proteins, and because nucleic acid hybridization is a most straightforward screening tool. Applications to genomics, transcriptomics, proteomics, and glycomics are currently in the foreground of interest; in this postgenomic phase they are allowed to gain new insights into the molecular basis of cellular processes and the development of disease.

Protein binding microarrays for the characterization of DNA-protein interactions

A number of important cellular processes, such as transcriptional regulation, recombination, replication, repair, and DNA modification, are performed by DNA binding proteins. Of particular interest are transcription factors (TFs) which, through their sequence-specific interactions with DNA binding sites, modulate gene expression in a manner required for normal cellular growth and differentiation, and also for response to environmental stimuli. Despite their importance, the DNA binding specificities of most DNA binding proteins still remain unknown, since prior technologies aimed at identifying DNA-protein interactions have been laborious, not highly scalable, or have required limiting biological reagents. Recently a new DNA microarray-based technology, termed protein binding microarrays (PBMs), has been developed that allows rapid, high-throughput characterization of the in vitro DNA binding site sequence specificities of TFs, other DNA binding proteins, or synthetic compounds. DNA binding site data from PBMs combined with gene annotation data, comparative sequence analysis, and gene expression profiling, can be used to predict what genes are regulated by a given TF, what the functions are of a given TF and its predicted target genes, and how that TF may fit into the cell's transcriptional regulatory network.

Multiple primer extension by DNA polymerase on a novel plastic DNA array coated with a biocompatible polymer

DNA microarrays are routinely used to monitor gene expression profiling and single nucleotide polymorphisms (SNPs). However, for practically useful high performance, the detection sensitivity is still not adequate, leaving low expression genes undetected. To resolve this issue, we have developed a new plastic S-BIO PrimeSurface with a biocompatible polymer; its surface chemistry offers an extraordinarily stable thermal property for a lack of pre-activated glass slide surface. The oligonucleotides immobilized on this substrate are robust in boiling water and show no significant loss of hybridization activity during dissociation treatment. This allowed us to hybridize the templates, extend the 3' end of the immobilized DNA primers on the S-Bio by DNA polymerase using deoxynucleotidyl triphosphates (dNTP) as extender units, release the templates by denaturalization and use the same templates for a second round of reactions similar to that of the PCR method. By repeating this cycle, the picomolar concentration range of the template oligonucleotide can be detected as stable signals via the incorporation of labeled dUTP into primers. This method of Multiple Primer EXtension (MPEX) could be further extended as an alternative route for producing DNA microarrays for SNP analyses via simple template preparation such as reverse transcript cDNA or restriction enzyme treatment of genome DNA.

Use of DNA microarray technology and gene expression profiles to investigate the pathogenesis, cell biology, antifungal susceptibility and diagnosis of Candida albicans

The use of DNA microarrays is becoming the method of choice for assaying gene expression, particularly as costs and complexity are being reduced as the technology becomes more widespread and better standardized. A DNA array is nothing but a collection of probes fixed on a solid support. The probes can be PCR products of ORFs or short intragenic oligonucleotides deposited or synthesized in situ by photolithographic methods. To date, sequencing projects for fungal genomes have yielded 10 complete genomes and 21 whole shotgun sequences, including Candida albicans strain SC5314. Sequencing of the C. albicans genome has led to the construction of whole-genome DNA microarrays for in vitro transcription profiling by several universities and companies. The use of microarray or DNA chip techniques for Candida research has started recently but the number of studies using this technology is increasing rapidly, in order to address important remaining questions about pathogenesis, cell biology, antifungal susceptibility, and diagnosis.

Fabrication and characterization of RNA aptamer microarrays for the study of protein-aptamer interactions with SPR imaging

RNA microarrays were created on chemically modified gold surfaces using a novel surface ligation methodology and employed in a series of surface plasmon resonance imaging (SPRI) measurements of DNA-RNA hybridization and RNA aptamer-protein binding. Various unmodified single-stranded RNA (ssRNA) oligonucleotides were ligated onto identical 5'-phosphate-terminated ssDNA microarray elements with a T4 RNA ligase surface reaction. A combination of ex situ polarization modulation FTIR measurements of the RNA monolayer and in situ SPRI measurements of DNA hybridization adsorption onto the surface were used to determine an ssRNA surface density of 4.0 x 10(12) molecules/cm2 and a surface ligation efficiency of 85 +/- 10%. The surface ligation methodology was then used to create a five-component RNA microarray of potential aptamers for the protein factor IXa (fIXa). The relative surface coverages of the different aptamers were determined through a novel enzymatic method that employed SPRI measurements of a surface RNase H hydrolysis reaction. SPRI measurements were then used to correctly identify the best aptamer to fIXa, which was previously determined from SELEX measurements. A Langmuir adsorption coefficient of 1.6 x 10(7) M(-1) was determined for fIXa adsorption to this aptamer. Single-base variations from this sequence were shown to completely destroy the aptamer-fIXa binding interaction.

Accuracy and reproducibility of protein-DNA microarray technology

Microarray-based methods for understanding protein-DNA interactions have been developed in the last 6 years due to the need to introduce high-throughput technologies in this field. Protein-DNA microarrays utilise chips upon which a large number of DNA sequences may be printed or synthesised. Any DNA-binding protein may then be interrogated by applying either purified sample or cellular/nuclear extracts, subject to availability of a suitable detection system. Protein is simply added to the microarray slide surface, which is then washed and subjected to at least one further incubation with a labelled molecule which binds specifically to the protein of interest. The signal obtained is proportional to the level of DNA-binding protein bound to each DNA feature, enabling relative affinities to be calculated. Key factors for reproducible and accurate quantification of protein binding are: microarray surface chemistry; length of oligonucleotides; position of the binding site sequence; quality of the protein and antibodies; and hybridisation conditions.

Design of a combinatorial DNA microarray for protein-DNA interaction studies

BACKGROUND

Discovery of precise specificity of transcription factors is an important step on the way to understanding the complex mechanisms of gene regulation in eukaryotes. Recently, double-stranded protein-binding microarrays were developed as a potentially scalable approach to tackle transcription factor binding site identification.

RESULTS

Here we present an algorithmic approach to experimental design of a microarray that allows for testing full specificity of a transcription factor binding to all possible DNA binding sites of a given length, with optimally efficient use of the array. This design is universal, works for any factor that binds a sequence motif and is not species-specific. Furthermore, simulation results show that data produced with the designed arrays is easier to analyze and would result in more precise identification of binding sites.

CONCLUSION

In this study, we present a design of a double stranded DNA microarray for protein-DNA interaction studies and show that our algorithm allows optimally efficient use of the arrays for this purpose. We believe such a design will prove useful for transcription factor binding site identification and other biological problems.

A scalable method for multiplex LED-controlled synthesis of DNA in capillaries

As research in synthetic biology and genomic sciences becomes more widespread, the need for diverse oligonucleotide populations has increased. To limit reagent cost, it would be advantageous to obtain high quality populations in minute amounts. Towards that end, synthesis of DNA strands in capillaries utilizing photolabile 3-nitrophenylpropyloxycarbonyl (NPPOC) chemistry and ultraviolet-light emitting diodes (UV-LEDs) was examined. Multiple oligonucleotides were made in single capillaries and were characterized by hybridization, sequencing and gene synthesis. DNA synthesized in capillaries was capable of being hybridized and signal intensities correlated with microarray data. Sequencing demonstrated that the oligonucleotides were of high quality (up to 44% perfect sequences). Oligonucleotides were combined and used successfully for gene synthesis. This system offers a novel, scalable method to synthesize high quality oligonucleotides for biological applications.

Highly parallel genomic assays

Recent developments in highly parallel genome-wide assays are transforming the study of human health and disease. High-resolution whole-genome association studies of complex diseases are finally being undertaken after much hypothesizing about their merit for finding disease loci. The availability of inexpensive high-density SNP-genotyping arrays has made this feasible. Cancer biology will also be transformed by high-resolution genomic and epigenomic analysis. In the future, most cancers might be staged by high-resolution molecular profiling rather than by gross cytological analysis. Here, we describe the key developments that enable highly parallel genomic assays.