Hybridization dynamics of surface immobilized DNA

Iodide etching for one-step quantitative assay of the number of DNA molecules capped on gold nanoparticles

Developing a direct method to easily quantify the number of DNA capped on gold nanoparticles (GNPs) is of great significance. Herein, we found that the high concentration of iodine ion (I^-) can not only replace the ligands on the surface of GNPs but can also completely etch the particles by virtue of its strong reducibility. According to this finding, a mild, cost-effective, environment-friendly, and non-toxic strategy was constructed to directly and accurately estimate the amount of DNA coupled on GNPs. Due to nanometal surface energy transfer (NSET) that happened between the DNA-FAM donor and the GNPs receptor, the fluorescence was quenched; after incubating with the etching reagent 6 M I^-, the recuperative fluorescence was detected directly. This method can easily estimate the number of DNA attached on the GNPs surface by one step. In a nutshell, it is a smart strategy to apply iodide etching for DNA quantification on the surface of GNPs, which breaks through the drawbacks of traditional DNA quantification strategies such as pollution, being expensive and even dangerous. This strategy takes a solid step forward for the refinement and optimization of DNA quantification and can also be more effective in detecting the number of other molecules capped on the GNPs surface, indicating that the iodide etching method is greatly helpful in bio-detection assays and nanoparticle-based therapeutics.

How Surfaces Affect Hybridization Kinetics

Hybridization between nucleic acid strands immobilized on a solid support with partners in solution is widely practiced in bioanalytical technologies and materials science. An important fundamental aspect of understanding these reactions is the role played by immobilization in the dynamics of duplex formation and disassembly. This report reviews and analyzes literature kinetic data to identify commonly observed trends and to correlate them with probable molecular mechanisms. The analysis reveals that while under certain conditions impacts from immobilization are minimal so that surface and solution hybridization kinetics are comparable, it is more typical to observe pronounced offsets between the two scenarios. In the forward (hybridization) direction, rates at the surface commonly decrease by one to two decades relative to solution, while in the reverse direction rates of strand separation at the surface can exceed those in solution by tens of decades. By recasting the deviations in terms of activation barriers, a consensus of how immobilization impacts nucleation, zipping, and strand separation can be conceived within the classical mechanism in which duplex formation is rate limited by preassembly of a nucleus a few base pairs in length, while dehybridization requires the cumulative breakup of base pairs along the length of a duplex. Evidence is considered for how excess interactions encountered on solid supports impact these processes.

Non-Langmuir Kinetics of DNA Surface Hybridization

Hybridization of complementary single strands of DNA represents a very effective natural molecular recognition process widely exploited for diagnostic, biotechnology, and nanotechnology applications. A common approach relies on the immobilization on a surface of single-stranded DNA probes that bind complementary targets in solution. However, despite the deep knowledge on DNA interactions in bulk solution, the modeling of the same interactions on a surface are still challenging and perceived as strongly system dependent. Here, we show that a two-dimensional analysis of the kinetics of hybridization, performed at different target concentrations and probe surface densities by a label-free optical biosensor, reveals peculiar features inconsistent with an ideal Langmuir-like behavior. We propose a simple non-Langmuir kinetic model accounting for an enhanced electrostatic repulsion originating from the surface immobilization of nucleic acids and for steric hindrance close to full hybridization of the surface probes. The analysis of the kinetic data by the model enables quantifying the repulsive potential at the surface, as well as retrieving the kinetic parameters of isolated probes. We show that the strength and the kinetics of hybridization at large probe density can be improved by a three-dimensional immobilization strategy of probe strands with a double-stranded linker.

Toehold Length of Target ssDNA Affects Its Reaction-Diffusion Behavior in DNA-Responsive DNA-co-Acrylamide Hydrogels

In the present study, we expand on the understanding of hydrogels with embedded deoxyribonucleic acid (DNA) cross-links, from the overall swelling to characterization of processes that precede the swelling. The hydrogels respond to target DNA strands because of a toehold-mediated strand displacement reaction in which the target strand binds to and opens the dsDNA cross-link. The spatiotemporal evolution of the diffusing target ssDNA was determined using confocal laser scanning microscopy (CLSM). The concentration profiles revealed diverse partitioning of the target DNA inside the hydrogel as compared with the immersing solution: excluding a nonbinding DNA, while accumulating a binding target. The data show that a longer toehold results in faster cross-link opening but reduced diffusion of the target, thus resulting in only a moderate increase in the overall swelling rate. The parameters obtained by fitting the data using a reaction-diffusion model were discussed in view of the molecular parameters of the target ssDNA and hydrogels.

DNA Nanotechnology-Enabled Interfacial Engineering for Biosensor Development

Biosensors represent biomimetic analytical tools for addressing increasing needs in medical diagnosis, environmental monitoring, security, and biodefense. Nevertheless, widespread real-world applications of biosensors remain challenging due to limitations of performance, including sensitivity, specificity, speed, and reproducibility. In this review, we present a DNA nanotechnology-enabled interfacial engineering approach for improving the performance of biosensors. We first introduce the main challenges of the biosensing interfaces, especially under the context of controlling the DNA interfacial assembly. We then summarize recent progress in DNA nanotechnology and efforts to harness DNA nanostructures to engineer various biological interfaces, with a particular focus on the use of framework nucleic acids. We also discuss the implementation of biosensors to detect physiologically relevant nucleic acids, proteins, small molecules, ions, and other biomarkers. This review highlights promising applications of DNA nanotechnology in interfacial engineering for biosensors and related areas.

Biomacromolecular nanostructures-based interfacial engineering: from precise assembly to precision biosensing

Biosensors are a type of important biodevice that integrate biological recognition elements, such as enzyme, antibody and DNA, and physical or chemical transducers, which have revolutionized clinical diagnosis especially under the context of point-of-care tests. Since the performance of a biosensor depends largely on the bio–solid interface, design and engineering of the interface play a pivotal role in developing quality biosensors. Along this line, a number of strategies have been developed to improve the homogeneity of the interface or the precision in regulating the interactions between biomolecules and the interface. Especially, intense efforts have been devoted to controlling the surface chemistry, orientation of immobilization, molecular conformation and packing density of surface-confined biomolecular probes (proteins and nucleic acids). By finely tuning these surface properties, through either gene manipulation or self-assembly, one may reduce the heterogeneity of self-assembled monolayers, increase the accessibility of target molecules and decrease the binding energy barrier to realize high sensitivity and specificity. In this review, we summarize recent progress in interfacial engineering of biosensors with particular focus on the use of protein and DNA nanostructures. These biomacromolecular nanostructures with atomistic precision lead to highly regulated interfacial assemblies at the nanoscale. We further describe the potential use of the high-performance biosensors for precision diagnostics.

Sequence-specific DNA solid-phase extraction in an on-chip monolith: Towards detection of antibiotic resistance genes

Antibiotic resistance of bacteria is a growing problem and presents a challenge for prompt treatment in patients with sepsis. Currently used methods rely on culturing or amplification; however, these steps are either time consuming or suffer from interference issues. A microfluidic device was made from black polypropylene, with a monolithic column modified with a capture oligonucleotide for sequence selective solid-phase extraction of a complementary target from a lysate sample. Porous properties of the monolith allow flow and hybridization of a target complementary to the probe immobilized on the column surface. Good flow-through properties enable extraction of a 100μL sample and elution of target DNA in 12min total time. Using a fluorescently labeled target oligonucleotide related to Verona Integron-Mediated Metallo-β-lactamase it was possible to extract and detect a 1pM sample with 83% recovery. Temperature-mediated elution by heating above the duplex melting point provides a clean extract without any agents that interfere with base pairing, allowing various labeling methods or further downstream processing of the eluent. Further integration of this extraction module with a system for isolation and lysis of bacteria from blood, as well as combining with single-molecule detection should allow rapid determination of antibiotic resistance.

Multiplex 16S rRNA-derived geno-biochip for detection of 16 bacterial pathogens from contaminated foods

Foodborne diseases caused by various pathogenic bacteria occur worldwide. To prevent foodborne diseases and minimize their impacts, it is important to inspect contaminated foods and specifically detect many types of pathogenic bacteria. Several DNA oligonucleotide biochips based on 16S rRNA have been investigated to detect bacteria; however, a mode of detection that can be used to detect diverse pathogenic strains and to examine the safety of food matrixes is still needed. In the present work, a 16S rRNA gene-derived geno-biochip detection system was developed after screening DNA oligonucleotide specific capture probes, and it was validated for multiple detection of 16 pathogenic strains that frequently occur with a signature pattern. rRNAs were also used as detection targets directly obtained from cell lysates without any purification and amplification steps in the bacterial cells separated from 8 food matrixes by simple pretreatments. Thus, the developed 16S rRNA-derived geno-biochip can be successfully used for the rapid and multiple detection of the 16 pathogenic bacteria frequently isolated from contaminated foods that are important for food safety.

Competitive Assays of Label-Free DNA Hybridization with Single-Molecule Fluorescence Imaging Detection

Single-molecule imaging of fluorescently labeled biomolecules is a powerful technique for measuring association interactions; however, care must be taken to ensure that the fluorescent labels do not influence the system being probed. Label-free techniques are needed to understand biomolecule interactions free from the influence of an attached label, but these techniques often lack sensitivity and specificity. To solve these challenges, we have developed a competitive assay that uses single-molecule detection to track the population of unlabeled target single-stranded DNA (ssDNA) hybridized with probe DNA immobilized at a glass interface by detecting individual duplexes with a fluorescently labeled "tracer" ssDNA. By labeling a small fraction (<0.2%) of target molecules, the "tracer" DNA tracks the available probe DNA sites without significant competition with the unlabeled target population. Single-molecule fluorescence imaging is a good read-out scheme for competitive assays, as it is sufficiently sensitive to detect tracer DNA on substrates with relatively low densities of probe DNA, ∼10(-3) of a monolayer, so that steric interactions do not hinder DNA hybridization. Competitive assays are used to measure the association constant of complementary strand DNA hybridization of 9- and 10-base pair targets, where the tracer assay predicts the same association constant as a traditional displacement competitive assay. This methodology was used to compare the Ka of hybridization for identical DNA strands differing only by the presence of a fluorescent label tethered to the 5' end of the solution-phase target. The addition of the fluorescent label significantly stabilizes the DNA duplex by 3.6 kJmol(-1), adding more stability than an additional adenine-thymine base-pairing interaction, 2.7 kJmol(-1). This competitive tracer assay could be used to screen a number of labeled and unlabeled target DNA strands to measure the impact of fluorescent labeling on duplex stability. This single-molecule competitive hybridization scheme could be easily adapted into a sensitive assay, where competition between tracer and target oligonucleotides for probe sites could be used to measure concentrations of unlabeled DNA or RNA.

Brownian-motion based simulation of stochastic reaction-diffusion systems for affinity based sensors

In this work, we develop a 2D algorithm for stochastic reaction-diffusion systems describing the binding and unbinding of target molecules at the surfaces of affinity-based sensors. In particular, we simulate the detection of DNA oligomers using silicon-nanowire field-effect biosensors. Since these devices are uniform along the nanowire, two dimensions are sufficient to capture the kinetic effects features. The model combines a stochastic ordinary differential equation for the binding and unbinding of target molecules as well as a diffusion equation for their transport in the liquid. A Brownian-motion based algorithm simulates the diffusion process, which is linked to a stochastic-simulation algorithm for association at and dissociation from the surface. The simulation data show that the shape of the cross section of the sensor yields areas with significantly different target-molecule coverage. Different initial conditions are investigated as well in order to aid rational sensor design. A comparison of the association/hybridization behavior for different receptor densities allows optimization of the functionalization setup depending on the target-molecule density.

Single-Molecule Fluorescence Imaging of Interfacial DNA Hybridization Kinetics at Selective Capture Surfaces

Accurate knowledge of the kinetics of complementary oligonucleotide hybridization is integral to the design and understanding of DNA-based biosensors. In this work, single-molecule fluorescence imaging is applied to measuring rates of hybridization between fluorescently labeled target ssDNA and unlabeled probe ssDNA immobilized on glass surfaces. In the absence of probe site labeling, the capture surface must be highly selective to avoid the influence of nonspecific adsorption on the interpretation of single-molecule imaging results. This is accomplished by increasing the probe molecule site densities by a factor of ∼100 compared to optically resolvable sites so that nonspecific interactions compete with a much greater number of capture sites and by immobilizing sulfonate groups to passivate the surface between probe strands. The resulting substrates exhibit very low nonspecific adsorption, and the selectivity for binding a complementary target sequence exceeds that of a scrambled sequence by nearly 3 orders of magnitude. The population of immobilized DNA probe sites is quantified by counting individual DNA duplexes at low target concentrations, and those results are used to calibrate fluorescence intensities on the same sample at much higher target concentrations to measure a full binding isotherm. Dissociation rates are determined from interfacial residence times of individual DNA duplexes. Equilibrium and rate constants of hybridization, K(a) = 38 (±1) μM(-1), k(on) = 1.64 (±0.06) × 10(6) M(-1) s(-1), and k(off) = 4.3 (±0.1) × 10(-2) s(-1), were found not to change with surface density of immobilized probe DNA, indicating that hybridization events at neighboring probe sites are independent. To test the influence of probe-strand immobilization on hybridization, the kinetics of the probe target reaction at the surface were compared with the same reaction in free solution, and the equilibrium constants and dissociation and association rates were found to be nearly equivalent. The selectivity of these capture surfaces should facilitate sensitive investigations of DNA hybridization at the limit of counting molecules. Because the immobilized probe DNA on these surfaces is unlabeled, photobleaching of a probe label is not an issue, allowing capture substrates to be used for long periods of time or even reused in multiple experiments.

Ultra-high-density 3D DNA arrays within nanoporous biocompatible membranes for single-molecule-level detection and purification of circulating nucleic acids

Extracellular nucleic acids freely circulating in blood and other physiologic fluids are important biomarkers for non-invasive diagnostics and early detection of cancer and other diseases, yet difficult to detect because they exist in very low concentrations and large volumes. Here we demonstrate a new broad-range sensor platform for ultrasensitive and selective detection of circulating DNA down to the single-molecule level. The biosensor is based on a chemically functionalized nanoporous diamond-like carbon (DLC) coated alumina membrane. The few nanometer-thick, yet perfect and continuous DLC-coating confers the chemical stability and biocompatibility of the sensor, allowing its direct application in biological conditions. The selective detection is based on complementary hybridization of a fluorescently-tagged circulating cancer oncomarker (a 21-mer nucleic acid) with covalently immobilized DNA on the surface of the membrane. The captured DNAs are detected in the nanoporous structure of the sensor using confocal scanning laser microscopy. The flow-through membrane sensor demonstrates broad-range sensitivity, spanning from 10(15) molecules per cm(2) down to single molecules, which is several orders of magnitude improvement compared to the flat DNA microarrays. Our study suggests that these flow-through type nanoporous sensors represent a new powerful platform for large volume sampling and ultrasensitive detection of different chemical biomarkers.

Single-step label-free hepatitis B virus detection by a piezoelectric biosensor

Probe densityvs.genome recognition selectivity.

Increasing hybridization rate and sensitivity of DNA microarrays using isotachophoresis

We present an on-chip electrokinetic method to increase the reaction kinetics and sensitivity of DNA microarray hybridization. We use isotachophoresis (ITP) to preconcentrate target molecules in solution and transport them over the immobilized probe sites of a microarray, greatly increasing the binding reaction rate. We show theoretically and experimentally that ITP-enhanced microarrays can be hybridized much faster and with higher sensitivity than conventional methods. We demonstrate our assay using a microfluidic system consisting of a PDMS microchannel superstructure bonded onto a glass slide on which 60 spots of 20-27 nt ssDNA oligonucleotide probes are immobilized. Our 30 min assay results in an 8.2 fold higher signal than the conventional overnight hybridization at 100 fM target concentration. We show rapid and quantitative detection over 4 orders of magnitude dynamic range of target concentration with no increase in the nonspecific signal. Our technique can be further multiplexed for higher density microarrays and extended for other reactions of target-surface immobilized ligands.

BIOPHYSICAL PROPERTIES OF NUCLEIC ACIDS AT SURFACES RELEVANT TO MICROARRAY PERFORMANCE

Both clinical and analytical metrics produced by microarray-based assay technology have recognized problems in reproducibility, reliability and analytical sensitivity. These issues are often attributed to poor understanding and control of nucleic acid behaviors and properties at solid-liquid interfaces. Nucleic acid hybridization, central to DNA and RNA microarray formats, depends on the properties and behaviors of single strand (ss) nucleic acids (e.g., probe oligomeric DNA) bound to surfaces. ssDNA's persistence length, radius of gyration, electrostatics, conformations on different surfaces and under various assay conditions, its chain flexibility and curvature, charging effects in ionic solutions, and fluorescent labeling all influence its physical chemistry and hybridization under assay conditions. Nucleic acid (e.g., both RNA and DNA) target interactions with immobilized ssDNA strands are highly impacted by these biophysical states. Furthermore, the kinetics, thermodynamics, and enthalpic and entropic contributions to DNA hybridization reflect global probe/target structures and interaction dynamics. Here we review several biophysical issues relevant to oligomeric nucleic acid molecular behaviors at surfaces and their influences on duplex formation that influence microarray assay performance. Correlation of biophysical aspects of single and double-stranded nucleic acids with their complexes in bulk solution is common. Such analysis at surfaces is not commonly reported, despite its importance to microarray assays. We seek to provide further insight into nucleic acid-surface challenges facing microarray diagnostic formats that have hindered their clinical adoption and compromise their research quality and value as genomics tools.

Specific discrimination of three pathogenic Salmonella enterica subsp. enterica serotypes by carB-based oligonucleotide microarray

It is important to rapidly and selectively detect and analyze pathogenic Salmonella enterica subsp. enterica in contaminated food to reduce the morbidity and mortality of Salmonella infection and to guarantee food safety. In the present work, we developed an oligonucleotide microarray containing duplicate specific capture probes based on the carB gene, which encodes the carbamoyl phosphate synthetase large subunit, as a competent biomarker evaluated by genetic analysis to selectively and efficiently detect and discriminate three S. enterica subsp. enterica serotypes: Choleraesuis, Enteritidis, and Typhimurium. Using the developed microarray system, three serotype targets were successfully analyzed in a range as low as 1.6 to 3.1 nM and were specifically discriminated from each other without nonspecific signals. In addition, the constructed microarray did not have cross-reactivity with other common pathogenic bacteria and even enabled the clear discrimination of the target Salmonella serotype from a bacterial mixture. Therefore, these results demonstrated that our novel carB-based oligonucleotide microarray can be used as an effective and specific detection system for S. enterica subsp. enterica serotypes.

Thymine/adenine diblock-oligonucleotide monolayers and hybrid brushes on gold: a spectroscopic study

BACKGROUND

The establishment of spectroscopic analysis techniques for complex, surface-bound biological systems is an important step toward the further application of these powerful experimental tools to new questions in biology and medicine.

METHODS

We use a combination of the complementary spectroscopic techniques of X-ray photoelectron spectroscopy, Infrared reflection-absorption spectroscopy, and near-edge x-ray absorption fine structure spectroscopy to monitor the composition and molecular orientation in adenine/thymine diblock oligonucleotide films and their hybridized brushes on gold.

RESULTS

We demonstrate that the surface-bound probe molecules, consisting of a binding adenine block, d(A), and a sensing thymine block, d(T), deviate from the ideal L-shape model due to the internal intra- and intermolecular hybridization. This effect becomes more pronounced with increasing length of the d(A) block. Nevertheless, these films were found to hybridize well with the complementary target d(A) strands, especially if they were treated in advance to reduce internal interaction between the molecules. In spite of the structural complexity of these films, the hybridization efficiency correlated well with the potential accessibility of the sensing d(T) blocks, defined by their lateral spacing.

CONCLUSIONS

These findings are a good demonstration of the strength of multi-technique spectroscopic analysis when applied to assemblies of biological molecules intrinsically prone to complex interactions.

Kinetics of adsorption of extended ligands on DNA at small fillings

In the present work, the adsorption kinetics of extended ligands on DNA duplexes at small fillings when molecules of DNA duplexes are on the underlayer within diffusion layer has been investigated. Both diffusion of ligands in solution (diffusion stage) and adsorption of ligands (kinetic stage) are taken into consideration at adsorption of ligands on DNA duplexes. Nonlinear system of differential equations describing adsorption of ligands where not only diffusion stage but also kinetic stage is taken into account, is obtained, moreover the equations allow localizing duplexes in arbitrary place within diffusion layer. Numeric solution of the equations makes possible to investigate the filling kinetics of DNA duplexes by ligands depending on parameters controlling adsorption process. It has been shown that depending on relation between adsorption parameters different kinetic regimes of adsorption - kinetic, complex, and diffusion regimes may be realized.

Surface plasmon resonance sensing of nucleic acids: a review

Biosensors based on surface plasmon resonance (SPR) have become a central tool for the investigation and quantification of biomolecules and their interactions. Nucleic acids (NAs) play a vital role in numerous biological processes and therefore have been one of the major groups of biomolecules targeted by the SPR biosensors. This paper discusses the advances of NA SPR biosensor technology and reviews its applications both in the research of molecular interactions involving NAs (NA-NA, NA-protein, NA-small molecule), as well as for the field of bioanalytics in the areas of food safety, medical diagnosis and environmental monitoring.

Development of a surface plasmon resonance and nanomechanical biosensing hybrid platform for multiparametric reading

We have developed a hybrid platform that combines two well-known biosensing technologies based on quite different transducer principles: surface plasmon resonance and nanomechanical sensing. The new system allows the simultaneous and real-time detection of two independent parameters, refractive index change (Δn), and surface stress change (Δσ) when a biomolecular interaction takes place. Both parameters have a direct relation with the mass coverage of the sensor surface. The core of the platform is a common fluid cell, where the solution arrives to both sensor areas at the same time and under the same conditions (temperature, velocity, diffusion, etc.).The main objective of this integration is to achieve a better understanding of the physical behaviour of the transducers during sensing, increasing the information obtained in real time in one single experiment. The potential of the hybrid platform is demonstrated by the detection of DNA hybridization.

Accurate prediction of binding thermodynamics for DNA on surfaces

For DNA mounted on surfaces for microarrays, microbeads, and nanoparticles, the nature of the random attachment of oligonucleotide probes to an amorphous surface gives rise to a locally inhomogeneous probe density. These fluctuations of the probe surface density are inherent to all common surface or bead platforms, regardless of whether they exploit either an attachment of presynthesized probes or probes synthesized in situ on the surface. Here, we demonstrate for the first time the crucial role of the probe surface density fluctuations in the performance of DNA arrays. We account for the density fluctuations with a disordered two-dimensional surface model and derive the corresponding array hybridization isotherm that includes a counterion screened electrostatic repulsion between the assayed DNA and probe array. The calculated melting curves are in excellent agreement with published experimental results for arrays with both presynthesized and in situ synthesized oligonucleotide probes. The approach developed allows one to accurately predict the melting curves of DNA arrays using only the known sequence-dependent hybridization enthalpy and entropy in solution and the experimental macroscopic surface density of probes. This opens the way to high-precision theoretical design and optimization of probes and primers in widely used DNA array-based high-throughput technologies for gene expression, genotyping, next-generation sequencing, and surface polymerase extension.

Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion

BACKGROUND

The hybridization of nucleic acid targets with surface-immobilized probes is a widely used assay for the parallel detection of multiple targets in medical and biological research. Despite its widespread application, DNA microarray technology still suffers from several biases and lack of reproducibility, stemming in part from an incomplete understanding of the processes governing surface hybridization. In particular, non-random spatial variations within individual microarray hybridizations are often observed, but the mechanisms underpinning this positional bias remain incompletely explained.

METHODOLOGY/PRINCIPAL FINDINGS

This study identifies and rationalizes a systematic spatial bias in the intensity of surface hybridization, characterized by markedly increased signal intensity of spots located at the boundaries of the spotted areas of the microarray slide. Combining observations from a simplified single-probe block array format with predictions from a mathematical model, the mechanism responsible for this bias is found to be a position-dependent variation in lateral diffusion of target molecules. Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.

CONCLUSIONS

Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.

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.

Hybridization in ssDNA films--a multi-technique spectroscopy study

A combination of X-ray photoelectron spectroscopy (XPS), high-resolution XPS, near-edge X-ray absorption fine structure (NEXAFS) spectroscopy, and sum-frequency-generation (SFG) spectroscopy was used to monitor two types of ssDNA films on Au(111) before and after hybridization. As probe systems, films of thiolated and block-oligonucleotides were used, taking thiolated thymine d(T) homo-oligonucleotides and thymine-adenine d(A-T) diblock-oligonucleotides as representative examples. In accordance with previous work, hybridization of the shorter and more densely packed thiolated ssDNA films produced fewer (if any) hybrids, whereas the longer and less densely packed layers exhibited a larger hybridization yield. The above effects were less pronounced in the case of the d(A-T) films where the hybridization yield of the less densely packed monolayers was significantly lower. This was presumably due to the formation of internal dimeric hybrids in the immobilization step of the probe molecules, resulting in the generation of fewer probe-target hybrids upon exposure to the target molecules. In all ssDNA films displaying a reasonable number of hybrids present, significant orientational changes were observed and could be monitored in detail. These results suggest that the given combination of spectroscopic techniques can be a valuable tool to gain molecular-level information about hybrids at interfaces.

Nonequilibrium effects in DNA microarrays: a multiplatform study

It has recently been shown that in some DNA microarrays the time needed to reach thermal equilibrium may largely exceed the typical experimental time, which is about 15 h in standard protocols (Hooyberghs et al. Phys. Rev. E2010, 81, 012901). In this paper we discuss how this breakdown of thermodynamic equilibrium could be detected in microarray experiments without resorting to real time hybridization data, which are difficult to implement in standard experimental conditions. The method is based on the analysis of the distribution of fluorescence intensities I from different spots for probes carrying base mismatches. In thermal equilibrium and at sufficiently low concentrations, log I is expected to be linearly related to the hybridization free energy ΔG with a slope equal to 1/RT(exp), where T(exp) is the experimental temperature and R is the gas constant. The breakdown of equilibrium results in the deviation from this law. A model for hybridization kinetics explaining the observed experimental behavior is discussed, the so-called 3-state model. It predicts that deviations from equilibrium yield a proportionality of log I to ΔG/RT(eff). Here, T(eff) is an "effective" temperature, higher than the experimental one. This behavior is indeed observed in some experiments on Agilent arrays [Hooyberghs et al. Phys. Rev. E2010, 81, 012901 and Hooyberghs et al. Nucleic Acids Res. 2009, 37, e53]. We analyze experimental data from two other microarray platforms and discuss, on the basis of the results, the attainment of equilibrium in these cases. Interestingly, the same 3-state model predicts a (dynamical) saturation of the signal at values below the expected one at equilibrium.

Simulating DNA hybridization on an amine-functionalized silicon substrate

The ability of DNA biosensors to capture oligonucleotide molecules in solution is of great importance in genetics, medical diagnostics, and drug discovery. The DNA hybridization event in which the probe, which is usually a single-stranded DNA segment covalently immobilized on a functionalized surface via a cross-linker molecule, recognizes the complementary target and forms a stable duplex structure is the basis of highly specific biorecognizing devices. The rate of hybridization depends on the solvent, length of the strands, complexity of the system, and other factors and could be considerably altered by the type of attachment and by the density of the probe on the substrates. Recent experimental investigations have shown that some probes can hybridize directly from bulk solutions. In this computational study, we provide a model for the behavior of these systems choosing cross-linker, probe, and target on the basis of experimental data. MD simulations of the single-stranded DNA fragment 5'-d(TGGC)-3' attached to an allylamine-functionalized Si(111) surface through an oxanine cross-linker in aqueous solution containing the complementary sequence, i.e. 5'-d(CGCCA)-3', are presented. A possible probe-target capture mechanism obtained using explicit solvent and state-of-the-art classical molecular dynamics simulation protocols is described. The hybridization process of the tethered DNA single strand, the intermediate structures appeared during the formation of the double helix, their internal dynamics and their behavior with respect to the substrate are characterized in detail.

Hybridization properties of long nucleic acid probes for detection of variable target sequences, and development of a hybridization prediction algorithm

One of the main problems in nucleic acid-based techniques for detection of infectious agents, such as influenza viruses, is that of nucleic acid sequence variation. DNA probes, 70-nt long, some including the nucleotide analog deoxyribose-Inosine (dInosine), were analyzed for hybridization tolerance to different amounts and distributions of mismatching bases, e.g. synonymous mutations, in target DNA. Microsphere-linked 70-mer probes were hybridized in 3M TMAC buffer to biotinylated single-stranded (ss) DNA for subsequent analysis in a Luminex® system. When mismatches interrupted contiguous matching stretches of 6 nt or longer, it had a strong impact on hybridization. Contiguous matching stretches are more important than the same number of matching nucleotides separated by mismatches into several regions. dInosine, but not 5-nitroindole, substitutions at mismatching positions stabilized hybridization remarkably well, comparable to N (4-fold) wobbles in the same positions. In contrast to shorter probes, 70-nt probes with judiciously placed dInosine substitutions and/or wobble positions were remarkably mismatch tolerant, with preserved specificity. An algorithm, NucZip, was constructed to model the nucleation and zipping phases of hybridization, integrating both local and distant binding contributions. It predicted hybridization more exactly than previous algorithms, and has the potential to guide the design of variation-tolerant yet specific probes.

An electrostatic model for DNA surface hybridization

DNA hybridization at surfaces is a crucial process for biomolecular detection, genotyping, and gene expression analysis. However, hybridization density and kinetics can be strongly inhibited by electric fields from the negatively charged DNA as the reaction proceeds. Here, we develop an electrostatic model to optimize hybridization density and kinetics as a function of DNA surface density, salt concentrations, and applied voltages. The electrostatic repulsion from a DNA surface layer is calculated numerically and incorporated into a modified Langmuir scheme, allowing kinetic suppression of hybridization. At the low DNA probe densities typically used in assays (<10(13)/cm(2)), electrostatics effects are largely screened and hybridization is completed with fast kinetics. However, higher hybridization densities can be achieved at intermediate DNA surface densities, albeit with slower kinetics. The application of positive voltages circumvents issues resulting from the very high DNA probe density, allowing highly enhanced hybridization densities and accelerated kinetics, and validating recent experimental measurements.

DNA surface hybridization: comparison of theory and experiment

The design and interpretation of surface hybridization assays is complicated by poorly understood aspects of the interfacial environment that cause both kinetic and thermodynamic behaviors to deviate from those in solution. The origins of these differences lie in the additional interactions experienced by hybridizing strands at the surface. In this report, an analysis of surface hybridization equilibria is provided for end-tethered, single-stranded oligonucleotide "probes" hybridizing with similarly sized, single-stranded solution "target" molecules. Theoretical models by Vainrub and Pettitt (Phys. Rev. E 2002, 66, 041905) and by Halperin, Buhot, and Zhulina (Biophys. J. 2004, 86, 718), and an "extended" model that in addition includes a solution-like salt dependence of probe-target dimerization, are compared to experiments as a function of salt concentration and probe coverage. Good agreement with experiment is observed when the DNA volume fraction at the surface remains below approximately 0.25. None of the models, however, can account for strong suppression of hybridization when the volume fraction of DNA approaches 0.3, realizable in the limit of high buffer strength and densely tethered films. Under these conditions, hybridization yields become insensitive to increases in analyte concentration even though many probes remain available to bind targets. These observations are attributed to the onset of packing constraints which, interestingly, become limiting significantly below maximum DNA coverages estimated from ideally efficient hexagonal packing. By delineating conditions under which specific hybridization behaviors are observed, the results advance fundamental knowledge in support of DNA microarray and biosensor applications.

Molecular mechanisms in morpholino-DNA surface hybridization

Synthetic nucleic acid mimics provide opportunity for redesigning the specificity and affinity of hybridization with natural DNA or RNA. Such redesign is of great interest for diagnostic applications where it can enhance the desired signal against a background of competing interactions. This report compares hybridization of DNA analyte strands with morpholinos (MOs), which are uncharged nucleic acid mimics, to the corresponding DNA-DNA case in solution and on surfaces. In solution, MO-DNA hybridization is found to be independent of counterion concentration, in contrast to DNA-DNA hybridization. On surfaces, when immobilized MO or DNA "probe" strands hybridize with complementary DNA "targets" from solution, both the MO-DNA and DNA-DNA processes depend on ionic strength but exhibit qualitatively different behaviors. At lower ionic strengths, MO-DNA surface hybridization exhibits hallmarks of kinetic limitations when separation between hybridized probe sites becomes comparable to target dimensions, whereas extents of DNA-DNA surface hybridization are instead consistent with limits imposed by buildup of surface (Donnan) potential. The two processes also fundamentally differ at high ionic strength, under conditions when electrostatic effects are weak. Here, variations in probe coverage have a much diminished impact on MO-DNA than on DNA-DNA hybridization for similarly crowded surface conditions. These various observations agree with a structural model of MO monolayers in which MO-DNA duplexes segregate to the buffer interface while unhybridized probes localize near the solid support. A general perspective is presented on using uncharged DNA analogues, which also include compounds such as peptide nucleic acids (PNA), in surface hybridization applications.

Effect of probe characteristics on the subtractive hybridization efficiency of human genomic DNA

Background

The detection sensitivity of low abundance pathogenic species by polymerase chain reaction (PCR) can be significantly enhanced by removing host nucleic acids. This selective removal can be performed using a magnetic bead-based solid phase with covalently immobilized capture probes. One of the requirements to attain efficient host background nucleic acids subtraction is the capture probe characteristics.

Findings

In this study we investigate how various capture probe characteristics influence the subtraction efficiency. While the primary focus of this report is the impact of probe length, we also studied the impact of probe conformation as well as the amount of capture probe attached to the solid phase. The probes were immobilized on magnetic microbeads functionalized with a phosphorous dendrimer. The subtraction efficiency was assessed by quantitative real time PCR using a single-step capture protocol and genomic DNA as target. Our results indicate that short probes (100 to 200 bp) exhibit the best subtraction efficiency. Additionally, higher subtraction efficiencies with these probes were obtained as the amount of probe immobilized on the solid phase decreased. Under optimal probes condition, our protocol showed a 90 - 95% subtraction efficiency of human genomic DNA.

Conclusions

The characteristics of the capture probe are important for the design of efficient solid phases. The length, conformation and abundance of the probes determine the capture efficiency of the solid phase.

Hybridization thermodynamics of NimbleGen microarrays

Background

While microarrays are the predominant method for gene expression profiling, probe signal variation is still an area of active research. Probe signal is sequence dependent and affected by probe-target binding strength and the competing formation of probe-probe dimers and secondary structures in probes and targets.

Results

We demonstrate the benefits of an improved model for microarray hybridization and assess the relative contributions of the probe-target binding strength and the different competing structures. Remarkably, specific and unspecific hybridization were apparently driven by different energetic contributions: For unspecific hybridization, the melting temperature T_m was the best predictor of signal variation. For specific hybridization, however, the effective interaction energy that fully considered competing structures was twice as powerful a predictor of probe signal variation. We show that this was largely due to the effects of secondary structures in the probe and target molecules. The predictive power of the strength of these intramolecular structures was already comparable to that of the melting temperature or the free energy of the probe-target duplex.

Conclusions

This analysis illustrates the importance of considering both the effects of probe-target binding strength and the different competing structures. For specific hybridization, the secondary structures of probe and target molecules turn out to be at least as important as the probe-target binding strength for an understanding of the observed microarray signal intensities. Besides their relevance for the design of new arrays, our results demonstrate the value of improving thermodynamic models for the read-out and interpretation of microarray signals.

Breakdown of thermodynamic equilibrium for DNA hybridization in microarrays

Test experiments of hybridization in DNA microarrays show systematic deviations from the equilibrium isotherms. We argue that these deviations are due to the presence of a partially hybridized long-lived state, which we include in a kinetic model. Experiments confirm the model predictions for the intensity vs free-energy behavior. The existence of slow relaxation phenomena has important consequences for the specificity of microarrays as devices for the detection of a target sequence from a complex mixture of nucleic acids.

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.

G-spots cause incorrect expression measurement in Affymetrix microarrays

Background

High Density Oligonucleotide arrays (HDONAs), such as the Affymetrix HG-U133A GeneChip, use sets of probes chosen to match specified genes, with the expectation that if a particular gene is highly expressed then all the probes in that gene's probe set will provide a consistent message signifying the gene's presence. However, probes that contain a G-spot (a sequence of four or more guanines) behave abnormally and it has been suggested that these probes are responding to some biochemical effect such as the formation of G-quadruplexes.

Results

We have tested this expectation by examining the correlation coefficients between pairs of probes using the data on thousands of arrays that are available in the NCBI Gene Expression Omnibus (GEO) repository. We confirm the finding that G-spot probes are poorly correlated with others in their probesets and reveal that, by contrast, they are highly correlated with one another. We demonstrate that the correlation is most marked when the G-spot is at the 5' end of the probe.

Conclusion

Since these G-spot probes generally show little correlation with the other members of their probesets they are not fit for purpose and their values should be excluded when calculating gene expression values. This has serious implications, since more than 40% of the probesets in the HG-U133A GeneChip contain at least one such probe. Future array designs should avoid these untrustworthy probes.