Competitive displacement of DNA during surface hybridization

Quantitative Analysis of In Situ Locked Nucleic Acid and DNA Competitive Displacement Events on Microspheres

Synthetic analogues of natural oligonucleotides known as locked nucleic acids (LNAs) offer superior nuclease resistance and cytocompatibility for numerous scenarios ranging from in vitro detection to intracellular imaging of nucleic acids. While recognized as stronger hybridization partners than equivalent DNA residues, quantitative analysis of LNA hybridization activity is lacking, especially with respect to competitive displacement of the original hybridization partner by another oligonucleotide. In the current study, we perform in situ measurements of toehold-mediated competitive displacement of soluble, fluorescently labeled primary targets from probe strands immobilized on microspheres using high throughput flow cytometry. Both LNA-DNA hybrid sequences and pure DNA sequences are employed as the immobilized strands, as soluble, fluorescently labeled 9-base-long primary targets, and as unlabeled 15-base-long secondary or competitive targets. In addition to comparing chemically substituted and unsubstituted sequences, we explore the effects of mismatched primary targets and the location of the toehold segment within the primary duplexes on the resulting displacement profiles. The primary duplex or double-stranded probe (dsprobe) systems implemented here exhibited varying responses to unlabeled secondary targets ranging from surprisingly modest primary target displacement activity despite the presence of a six base-long nucleotide toehold segment at the dsprobe free end to distinctive displacement profiles sensitive to LNA substitutions and the placement of the toehold segment closer to the microsphere surface.

A comparison of methods for DNA preparation prior to microarray analysis

Microarrays are a valuable tool for analysis of both bacterial and eukaryotic nucleic acids. As many of these applications use non-specific amplification to increase sample concentration prior to analysis, the methods used to fragment and label large amplicons are important to achieve the desired analytical selectivity and specificity. Here, we used eight sequenced ESKAPE pathogens to determine the effect of two methods of whole genome amplicon fragmentation and three methods of subsequent labeling on microarray performance; nick translation was also assessed. End labeling of both initial DNase I-treated and sonication-fragmented amplicons failed to provide detectable material for a significant number of sequence-confirmed genes. However, processing of amplicons by nick translation, or by sequential fragmentation and labeling by Universal Labeling System or Klenow fragment/random primer provided good sensitivity and selectivity, with marginally better results obtained by Klenow fragment labeling. Nick-translation provided 91-100% sensitivity and 100% specificity in the tested strains, requiring half as many manipulations and less than 4h to process samples for hybridization; full sample processing from whole genome amplification to final data analysis could be performed in less than 10h. The method of template denaturation before amplification did affect detection sensitivity/selectivity of nick-labeled amplicons, however.

Morpholino Oligonucleotide Cross-Linked Hydrogels as Portable Optical Oligonucleotide Biosensors

Morpholino Oligonucleotides (MOs), an uncharged DNA analogue, are functionalized with an acrylamide moiety and incorporated into polymer hydrogels as responsive cross-links for microRNA sequence detection. The MO cross-links can be selectively cleaved by a short target analyte single-stranded DNA (ssDNA) sequence based on microRNA, inducing a distinct swelling response measured optically. The MO cross-links offer significant improvement over DNA based systems through improved thermal stability, no salt requirement and 1000-fold improved sensitivity over a comparative biosensor, facilitating a wider range of sensing conditions. Analysis was also achieved using a mobile phone camera, demonstrating portability.

Hamming Distance as a Concept in DNA Molecular Recognition

DNA microarrays constitute an in vitro example system of a highly crowded molecular recognition environment. Although they are widely applied in many biological applications, some of the basic mechanisms of the hybridization processes of DNA remain poorly understood. On a microarray, cross-hybridization arises from similarities of sequences that may introduce errors during the transmission of information. Experimentally, we determine an appropriate distance, called minimum Hamming distance, in which the sequences of a set differ. By applying an algorithm based on a graph-theoretical method, we find large orthogonal sets of sequences that are sufficiently different not to exhibit any cross-hybridization. To create such a set, we first derive an analytical solution for the number of sequences that include at least four guanines in a row for a given sequence length and eliminate them from the list of candidate sequences. We experimentally confirm the orthogonality of the largest possible set with a size of 23 for the length of 7. We anticipate our work to be a starting point toward the study of signal propagation in highly competitive environments, besides its obvious application in DNA high throughput experiments.

Hydration induced stress on DNA monolayers grafted on microcantilevers

Surface tethered single-stranded DNA films are relevant biorecognition layers for oligonucleotide sequence identification. Also, hydration induced effects on these films have proven useful for the nanomechanical detection of DNA hybridization. Here, we apply nanomechanical sensors and atomic force microscopy to characterize in air and upon varying relative humidity conditions the swelling and deswelling of grafted single stranded and double stranded DNA films. The combination of these techniques validates a two-step hybridization process, where complementary strands first bind to the surface tethered single stranded DNA probes and then slowly proceed to a fully zipped configuration. Our results also demonstrate that, despite the slow hybridization kinetics observed for grafted DNA onto microcantilever surfaces, ex situ sequence identification does not require hybridization times typically longer than 1 h, while quantification is a major challenge.

Quantitative thermodynamic predication of interactions between nucleic acid and non-nucleic acid species using Microsoft excel

Proper design of nucleic acid sequences is crucial for many applications. We have previously established a thermodynamics-based quantitative model to help design aptamer-based nucleic acid probes by predicting equilibrium concentrations of all interacting species. To facilitate customization of this thermodynamic model for different applications, here we present a generic and easy-to-use platform to implement the algorithm of the model with Microsoft(®) Excel formulas and VBA (Visual Basic for Applications) macros. Two Excel spreadsheets have been developed: one for the applications involving only nucleic acid species, the other for the applications involving both nucleic acid and non-nucleic acid species. The spreadsheets take the nucleic acid sequences and the initial concentrations of all species as input, guide the user to retrieve the necessary thermodynamic constants, and finally calculate equilibrium concentrations for all species in various bound and unbound conformations. The validity of both spreadsheets has been verified by comparing the modeling results with the experimental results on nucleic acid sequences reported in the literature. This Excel-based platform described here will allow biomedical researchers to rationalize the sequence design of nucleic acid probes using the thermodynamics-based modeling even without relevant theoretical and computational skills.

Kinetic mechanisms in morpholino-DNA surface hybridization

Morpholinos (MOs) are DNA analogues whose uncharged nature can bring fundamental advantages to surface hybridization technologies such as DNA microarrays, by using MOs as the immobilized, or "probe", species. Advancement of MO-based diagnostics, however, is challenged by limited understanding of the surface organization of MO molecules and of how this organization impacts hybridization kinetics and thermodynamics. The present study focuses on hybridization kinetics between monolayers of MO probes and DNA targets as a function of the instantaneous extent of hybridization (i.e., duplex coverage), total probe coverage, and ionic strength. Intriguingly, these experiments reveal distinct kinetic stages, none of which are consistent with Langmuir kinetics. The initial stage, in which duplex coverage remains relatively sparse, indicates confluence of two effects: blockage of target access to unhybridized probes by previously formed duplexes and deactivation of the solid support due to consumption of probe molecules. This interpretation is consistent with a surface organization in which unhybridized MO probes localize near the solid support, underneath a layer of MO-DNA duplexes. As duplex coverage builds, provided saturation is not reached first, the initial stage can transition to an unusual regime characterized by near independence of hybridization rate on duplex coverage, followed by a prolonged approach to equilibrium. The possible origins of these more complex latter behaviors are discussed. Comparison with published data for DNA and peptide nucleic acid (PNA) probes is carried out to look for universal trends in kinetics. This comparison reveals qualitative similarities when comparable surface organization of probes is expected. In addition, MO monolayers are found capable of a broad range of reactivities that span reported values for PNA and DNA probes.

Rapid genotyping of human papillomavirus by post-PCR array-based hybridization techniques

Kinetic hybridization measurements on a microarray are expected to become a valuable tool for genotyping applications. A method has been developed that enables kinetic hybridization measurements of PCR products on a low-density microarray. This is accomplished by pumping a solution containing PCR products up and down through a porous microarray substrate. After every pumping cycle, the fluorescently labeled PCR products hybridized to capture probes immobilized on the solid surface of the porous microarray substrate are measured. By this method, both binding curves and high-resolution melting curves are obtained instead of the single endpoint hybridization intensities as with commonly used post-PCR array-based hybridization techniques. We used 20 subtypes of the human papillomavirus (HPV) as a model system to test our detection method and blindly analyzed 216 clinical samples. We compared our microarray flowthrough method with a reference method, PCR followed by a reverse line blot (RLB). Real-time hybridization measurements followed by high-resolution melting curves of low concentrations of fluorescently labeled HPV targets on a microarray were successfully carried out without any additional chemical signal amplification. The results of our new method were in good agreement (93%, with a kappa coefficient of κ = 0.88 [95% CI, 0.81 to 0.94]) with the RLB results. All discrepant samples were analyzed by a third method, enzyme immunoassay (EIA). Furthermore, in a number of cases, we were able to identify false-positive samples by making use of the information contained in the kinetic binding and melting curves. This clearly demonstrates the added value of the use of kinetic measurements and high-resolution melting curves, especially for highly homologous targets.

Salt concentration effects on equilibrium melting curves from DNA microarrays

DNA microarrays find applications in an increasing number of domains where more quantitative results are required. DNA being a charged polymer, the repulsive interactions between the surface of the microarray and the targets in solution are increasing upon hybridization. Such electrostatic penalty is generally reduced by increasing the salt concentration. In this article, we present equilibrium-melting curves obtained from dedicated physicochemical experiments on DNA microarrays in order to get a better understanding of the electrostatic penalty incurred during the hybridization reaction at the surface. Various salt concentrations have been considered and deviations from the commonly used Langmuir adsorption model are experimentally quantified for the first time in agreement with theoretical predictions.

Kinetic effects on signal normalization in oligonucleotide microchips with labeled immobilized probes

Among various factors affecting operation of oligonucleotide microchips, the variations in concentration and in homogeneous distribution of immobilized probes over the cells are one of the most important. The labeling of immobilized probes ensures the complete current monitoring on the probe distribution and is reliable and convenient. Using hydrogel-based oligonucleotide microchips, the applicability of Cy3-labeled immobilized probes for quality control and signal normalization after hybridization with Cy5-labeled target DNA was investigated. This study showed that proper signal normalization should be different in thermodynamic conditions and in transient regime with hybridization far from saturation. This kinetic effect holds for both hydrogel-based and surface oligonucleotide microchips. Besides proving basic features, the technique was assessed on a sampling batch of 50 microchips developed for identifying mutations responsible for rifampicin and isoniazid resistance of Mycobacterium tuberculosis.

Real-time DNA microarray analysis

We present a quantification method for affinity-based DNA microarrays which is based on the real-time measurements of hybridization kinetics. This method, i.e. real-time DNA microarrays, enhances the detection dynamic range of conventional systems by being impervious to probe saturation in the capturing spots, washing artifacts, microarray spot-to-spot variations, and other signal amplitude-affecting non-idealities. We demonstrate in both theory and practice that the time-constant of target capturing in microarrays, similar to all affinity-based biosensors, is inversely proportional to the concentration of the target analyte, which we subsequently use as the fundamental parameter to estimate the concentration of the analytes. Furthermore, to empirically validate the capabilities of this method in practical applications, we present a FRET-based assay which enables the real-time detection in gene expression DNA microarrays.

Hybridization kinetics of double-stranded DNA probes for rapid molecular analysis

This study reports the hybridization kinetics of double-stranded DNA probes for rapid molecular analysis. Molecular binding schemes based on double-stranded DNA probes have been developed for quantitative detection of various biomolecules, such as nucleic acids and DNA binding proteins recently. The thermodynamic competition between the target and the competitor in binding to the probe provides a highly specific mechanism for molecular detection. The kinetics of the double-stranded DNA probe, on the other hand, represent another key aspect toward its general applicability for a wide set of biomedical applications. Herein we report a systematic investigation of the kinetics of double-stranded DNA probes. The signal-to-background ratio and assay time of the double-stranded DNA probes are optimized at a high ionic strength (over 100 mM NaCl). Both the donor probe and the quencher probe sequences are shown to be important in the hybridization kinetics. A long sticky end of the probe is able to dramatically accelerate the kinetics of the assay. To provide a quantitative description of the kinetics, a two-stage binding model is developed to describe the major features of the kinetics of the assay. The sensitivity of the kinetic model and the dominant affinity constants are studied. The study provides a general guideline for the design of the probes for reducing the total assay time. With an appropriate design of the probes, the assay can be finished within minutes at room temperature.

Real-time DNA microarrays: reality check

DNA microarrays are plagued with inconsistent quantifications and false-positive results. Using established mechanisms of surface reactions, we argue that these problems are inherent to the current technology. In particular, the problem of multiplex non-equilibrium reactions cannot be resolved within the framework of the existing paradigm. We discuss the advantages and limitations of changing the paradigm to real-time data acquisition similar to real-time PCR methodology. Our analysis suggests that the fundamental problem of multiplex reactions is not resolved by the real-time approach itself. However, by introducing new detection chemistries and analysis approaches, it is possible to extract target-specific quantitative information from real-time microarray data. The possible scope of applications for real-time microarrays is discussed.

Probes containing runs of guanines provide insights into the biophysics and bioinformatics of Affymetrix GeneChips

The reliable interpretation of Affymetrix GeneChip data is a multi-faceted problem. The interplay between biophysics, bioinformatics and mining of GeneChip surveys is leading to new insights into how best to analyse the data. Many of the molecular processes occurring on the surfaces of GeneChips result from the high surface density of probes. Interactions between neighbouring adjacent probes affect their rate and strength of hybridization to targets. Competing targets may hybridize to the same probe, and targets may partially bind to more than one probe. The formation of these partial hybrids results in a number of probes not reaching thermodynamic equilibrium during hybridization. Moreover, some targets fold up, or cross-hybridize to other targets. Furthermore, probes may fold and can undergo chemical saturation. There are also sequence-dependent differences in the rates of target desorption during the washing stage. Improvements in the mappings between probe sequence and biological databases are leading to more accurate gene expression profiles. Moreover, algorithms that combine the intensities of multiple probes into single measures of expression are increasingly dependent upon models of the hybridization processes occurring on GeneChips. The large repositories of GeneChip data can be searched for systematic effects across many experiments. This data mining has led to the discovery of a family of thousands of probes, which show correlated expression across thousands of GeneChip experiments. These probes contain runs of guanines, suggesting that G-quadruplexes are able to form on GeneChips. We discuss the impact of these structures on the interpretation of data from GeneChip experiments.

Microarray temperature optimization using hybridization kinetics

In any microarray hybridization experiment, there are contributions at each probe spot due to the match and numerous mismatch target species (i.e., cross-hybridizations). One goal of temperature optimization is to minimize the contribution of mismatch species; however, achieving this goal may come at the expense of obtaining equilibrium reaction conditions. We employ two-component thermodynamic and kinetic models to study the trade-offs involved in temperature optimization. These models show that the maximum selectivity is achieved at equilibrium, but that the mismatch species controls the time to equilibrium via the competitive displacement mechanism. Also, selectivity is improved at lower temperatures. However, the time to equilibrium is also extended, so that greater selectivity cannot be achieved in practice. We also employ a two-color real-time microarray reader to experimentally demonstrate these effects by independently monitoring the match and mismatch species during multiplex hybridization. The only universal criterion that can be employed is to optimize temperature based upon attaining equilibrium reaction conditions. This temperature varies from one probe to another, but can be determined empirically using standard microarray experimentation methods.

Aptamer selection express: a novel method for rapid single-step selection and sensing of aptamers

Here we describe a new DNA capture element (DCE) sensing system, based on the quenching and dequenching of a double-stranded aptamer. This system shows very good sensitivity and thermal stability. While quenching, dequenching, and separating the DCE systems made from different aptamers (all selected by SELEX), an alternative method to rapidly select aptamers was developed-the Aptamer Selection Express (ASExp). This process has been used to select aptamers against different types of targets (Bacillus anthracis spores, Bacillus thuringiensis spores, MS-2 bacteriophage, ovalbumin, and botulinum neurotoxin). The DCE systems made from botulinum neurotoxin aptamers selected by ASExp have been investigated. The results of this investigation indicate that ASExp can be used to rapidly select aptamers for the DCE sensing system.

A double-stranded molecular probe for homogeneous nucleic acid analysis

This paper reports the design and optimization of a double-stranded molecular probe for homogeneous detection of specific nucleotide sequences. The probes are labeled with either a fluorophore or a quencher such that the probe hybridization brings the two labels into close proximity, and this diminishes the fluorescence signal in the absence of a target. In the presence of a target, the fluorophore probe is thermodynamically driven to unzip from its hybridized form and bind with the target. An equilibrium analysis, which successfully describes all the major features of the assay without any fitting parameter, is performed to generalize the design of the probe. Several key parameters affecting the performance of the assay are examined. We show that the dynamic range and the signal-to-noise ratio of the assay can be optimized by the probe concentration, the quencher-to-fluorophore ratio, and the probe strand sequence. By proper design of the sequence, the probe discriminates single nucleotide mismatches in a single step without any separation step or measurement of melting profile.

A study of the relationships between oligonucleotide properties and hybridization signal intensities from NimbleGen microarray datasets

Well-defined relationships between oligonucleotide properties and hybridization signal intensities (HSI) can aid chip design, data normalization and true biological knowledge discovery. We clarify these relationships using the data from two microarray experiments containing over three million probes from 48 high-density chips. We find that melting temperature (T_m) has the most significant effect on HSI while length for the long oligonucleotides studied has very little effect. Analysis of positional effect using a linear model provides evidence that the protruding ends of probes contribute more than tethered ends to HSI, which is further validated by specifically designed match fragment sliding and extension experiments. The impact of sequence similarity (SeqS) on HSI is not significant in comparison with other oligonucleotide properties. Using regression and regression tree analysis, we prioritize these oligonucleotide properties based on their effects on HSI. The implications of our discoveries for the design of unbiased oligonucleotides are discussed. We propose that isothermal probes designed by varying the length is a viable strategy to reduce sequence bias, though imposing selection constraints on other oligonucleotide properties is also essential.

Specificity of DNA microarray hybridization: characterization, effectors and approaches for data correction

Microarray-hybridization specificity is one of the main effectors of microarray result quality. In the present review, we suggest a definition for specificity that spans four hybridization levels, from the single probe to the microarray platform. For increased hybridization specificity, it is important to quantify the extent of the specificity at each of these levels, and correct the data accordingly. We outline possible effects of low hybridization specificity on the obtained results and list possible effectors of hybridization specificity. In addition, we discuss several studies in which theoretical approaches, empirical means or data filtration were used to identify specificity effectors, and increase the specificity of the hybridization results. However, these various approaches may not yet provide an ultimate solution; rather, further tool development is needed to enhance microarray-hybridization specificity.

On-chip hybridization kinetics for optimization of gene expression experiments

DNA microarray technology is a powerful tool for getting an overview of gene expression in biological samples. Although the successful use of microarray-based expression analysis was demonstrated in a number of applications, the main problem with this approach is the fact that expression levels deduced from hybridization experiments do not necessarily correlate with RNA concentrations. Moreover, oligonucleotide probes corresponding to the same gene can give different hybridization signals. Apart from cross-hybridizations and differential splicing, this could be due to secondary structures of probes or targets. In addition, for low-copy genes, hybridization equilibrium may be reached after hybridization times much longer than the one commonly used (overnight, i.e., 15 h). Thus, hybridization signals could depend on kinetic properties of the probe, which may vary between different oligonucleotide probes immobilized on the same microarray. To validate this hypothesis, on-chip hybridization kinetics and duplex thermostability analysis were performed using oligonucleotide microarrays containing 50-mer probes corresponding to 10 mouse genes. We demonstrate that differences in hybridization kinetics between the probes exist and can influence the interpretation of expression data. In addition, we show that using on-chip hybridization kinetics, quantification of targets is feasible using calibration curves.

Kinetics of multiplex hybridization: mechanisms and implications

Quantitative analysis of DNA microarray data is complicated by uncertainties inherent to the experimental setup. Using computer simulations and real-time experimental results, we have previously demonstrated effects of multiplex reactions on a single sensing zone of an array, which may be a leading factor in erroneous interpretation of experimental data. We suggest here that a simplified three-component kinetic model may present a sufficient approximation to describe the general case of DNA sensing in a complex sample milieu. We show that, by analyzing the real-time hybridization kinetics of a nontarget species, we can perform quantitative analysis of unlabeled targets of interest within a broad dynamic range of concentrations.

Effects of external transport on discrimination between perfect and mismatch duplexes on gel-based oligonucleotide microchips

Using hydrogel-based oligonucleotide microchips developed previously for the choice of drugs during leukemia treatment and the other diseases, it is shown that the acceleration of external transport by mixing buffer solution with peristaltic pump not only enhances the observable fluorescence signals, but also improves significantly the discrimination between perfect and mismatch duplexes at the intermediate stage of hybridization on the oligonucleotide microchips. The discrimination efficiency for a given hybridization time grows monotonously with the frequency of flow pulsations. The mixing with frequency 10 Hz accelerates the hybridization rate approximately thrice and improves the discrimination efficiency 1.5-2.5 times higher for overnight hybridization. To study these effects, we have developed the special peristaltic pump mixing solution in a hybridization chamber of 35 mul in volume (area approximately 1 x 1 cm(2) and height 0.3 mm). We present also the brief theoretical summary for the interpretation and assessment of the observed experimental features.

Multiplex SNP discrimination

Multiplex hybridization reactions of perfectly matched duplexes and duplexes containing a single basepair mismatch (SNPs) were investigated on DNA microarrays. Effects of duplex length, G-C percentage, and relative position of the SNP on duplex hybridization and SNP resolution were determined. Our theoretical model of multiplex hybridization accurately predicts observed results and implicates target concentration as a critical variable in multiplex SNP detection.