Powerful tools for genetic analysis come of age

Modeling Effects of Surface Properties and Probe Density for Nanoscale Biosensor Design: A Case Study of DNA Hybridization near Surfaces

Electrochemical biosensors have extremely robust applications while offering ease of preparation, miniaturization, and tunability. By adjusting the arrangement and properties of immobilized probes on the sensor surface to optimize target-probe association, one can design highly sensitive and efficient sensors. In electrochemical nucleic acid biosensors, a self-assembled monolayer (SAM) is widely used as a tunable surface with inserted DNA or RNA probes to detect target sequences. The effects of inhomogeneous probe distribution across surfaces are difficult to study experimentally due to inadequate resolution. Regions of high probe density may inhibit hybridization with targets, and the magnitude of the effect may vary depending on the hybridization mechanism on a given surface. Another fundamental question concerns diffusion and hybridization of DNA taking place on surfaces and whether it speeds up or hinders molecular recognition. We used all-atom Brownian dynamics simulations to help answer these questions by simulating the hybridization process of single-stranded DNA (ssDNA) targets with a ssDNA probe on polar, nonpolar, and anionic SAMs at three different probe surface densities. Moreover, we simulated three tightly packed probe clusters by modeling clusters with different interprobe spacing on two different surfaces. Our results indicate that hybridization efficiency depends strongly on finding a balance that allows attractive forces to steer target DNA toward probes without anchoring it to the surface. Furthermore, we found that the hybridization rate becomes severely hindered when interprobe spacing is less than or equal to the target DNA length, proving the need for a careful design to both enhance target-probe association and avoid steric hindrance. We developed a general kinetic model to predict hybridization times and found that it works accurately for typical probe densities. These findings elucidate basic features of nanoscale biosensors, which can aid in rational design efforts and help explain trends in experimental hybridization rates at different probe densities.

Dynamics and molecular interactions of single-stranded DNA in nucleic acid biosensors with varied surface properties

Electrochemical DNA biosensors utilizing self-assembled monolayers (SAMs) with inserted DNA probes are promising biosensor designs because of their ease of preparation, miniaturization, and tunability. However, much is still unknown about the interactions between biomolecules such as DNA and various surfaces. A fundamental question regarding these sensors concerns the nature of diffusion of target molecules taking place on sensor surfaces and whether it speeds up the molecular recognition process. Lack of understanding of molecular interaction and surface diffusion in addition to questions regarding the behavior of DNA probes immobilized on these surfaces currently limits the rational design of nucleic acid biosensors. Using all-atom unbiased molecular dynamics (MD) simulations we found that single-stranded DNA (ssDNA) behavior on SAMs is drastically altered by different surface chemistries, with ssDNA adopting very different orientations upon adsorption and surface diffusivity varying over an order of magnitude. Probe behavior varies equally broadly as probes are considerably more stable in certain SAMs than others, which affects the accessibility of probes to the target molecules and likely changes DNA hybridization kinetics in multiple ways. We also found that nearby probes can alter each other's orientations substantially, which highlights the importance of surface density control. Our results elucidate nucleic acid biosensor dynamics vital to rational design and offer insights that can aid in the design of surface properties and patterning for specific applications.

Dual Signaling DNA Electrochemistry: An Approach To Understand DNA Interfaces

Electrochemical DNA biosensors composed of a redox marker modified nucleic acid probe tethered to a solid electrode is a common experimental construct for detecting DNA and RNA targets, proteins, inorganic ions, and even small molecules. This class of biosensors generally relies on the binding-induced conformational changes in the distance of the redox marker relative to the electrode surface such that the charge transfer is altered. The conventional design is to attach the redox species to the distal end of a surface-bound nucleic acid strand. Here we show the impact of the position of the redox marker, whether on the distal or proximal end of the DNA monolayer, on the DNA interface electrochemistry. Somewhat unexpectedly, greater currents were obtained when the redox molecules were located on the distal end of the surface-bound DNA monolayer, notionally furthest away from the electrode, compared with currents when the redox species were located on the proximal end, close to the electrode. Our results suggest that a limitation in ion accessibility is the reason why smaller currents were obtained for the redox markers located at the bottom of the DNA monolayer. This understanding shows that to allow the quantification of the amount of redox labeled target DNA strand that hybridizes to probe DNA immobilized on the electrode surface, the redox species must be on the distal end of the surface-bound duplex.

Specifically horizontally tethered DNA probes on Au surfaces allow labelled and label-free DNA detection using SERS and electrochemically driven melting

Controlled covalent attachment of dsDNA horizontally orientated on a gold surface is achieved through the use of a single surface-linker located approximately half way along the attached DNA probe strand.

Controlled covalent attachment of dsDNA horizontally orientated on a gold surface is achieved through the use of a single surface-linker located approximately half way along the attached DNA probe strand. We show that horizontally oriented dsDNA on a gold surface can undergo melting and re-hybridization to target strand in solution and thus can be used for the detection of specific target DNA sequences using surface-enhanced Raman spectroscopy (SERS). We show that a range of lengths of target DNA sequences from ∼30-bases to 78-bases can be specifically hybridized to the short immobilized DNA probe sequence and adopt a horizontal orientation on the gold surface. Following thermal or electrochemically driven melting of the immobilized dsDNA, the target DNA strand diffuses away while the probe strand remains attached to the surface allowing the functionalized surfaces to be reused. The melting of the horizontally orientated immobilized dsDNA can be monitored using SERS either by employing a dye label covalently attached on the DNA target strand or by employing a binding agent selective for dsDNA. This approach of covalently immobilizing the DNA probe strand through a linker located at approximately the middle of the strand has great potential to improve the sensitivity and specificity of molecular assays that employ DNA arrays on solid surfaces.

DNA molecules site-specific immobilization and their applications

In addition to its role as a carrier of genetic information, DNA has been recognized as a construction material for the assembly of different objects and structural arrangements with nanoscale features. As a result of DNA’s self-recognition properties (based on the specific base-pairing of G-C and T-A), monolayer films of nucleic acids on solid supports have attracted an escalating attentions. Recently, numerous novel materials based on two-dimensional (2D) and three-dimensional (3D) DNA structures have been reported, which extends their utility to a large number of appliations. This review paper intends to be a new and comprehensive overview of recent strategies to site-specifically immobilized DNA on various materials, including carbonaceous substances, gold, and silica substrate, emphasizing the applications of site-specific DNA nanostructure-based devices for diagnostic, bioanalytical, food safety and environmental monitoring. Additionally, an up-to-date perspective is proposed at the end of this review.

Mechanisms of surface-mediated DNA hybridization

Single-molecule total internal reflection fluorescence microscopy was employed in conjunction with resonance energy transfer (RET) to observe the dynamic behavior of donor-labeled ssDNA at the interface between aqueous solution and a solid surface decorated with complementary acceptor-labeled ssDNA. At least 100,000 molecular trajectories were determined for both complementary strands and negative control ssDNA. RET was used to identify trajectory segments corresponding to the hybridized state. The vast majority of molecules from solution adsorbed nonspecifically to the surface, where a brief two-dimensional search was performed with a 7% chance of hybridization. Successful hybridization events occurred with a characteristic search time of ∼0.1 s, and unsuccessful searches resulted in desorption from the surface, ultimately repeating the adsorption and search process. Hybridization was reversible, and two distinct modes of melting (i.e., dehybridization) were observed, corresponding to long-lived (∼15 s) and short-lived (∼1.4 s) hybridized time intervals. A strand that melted back onto the surface could rehybridize after a brief search or desorb from the interface. These mechanistic observations provide guidance for technologies that involve DNA interactions in the near-surface region, suggesting a need to design surfaces that both enhance the complex multidimensional search process and stabilize the hybridized state.

Resolving Sample Traces in Complex Mixtures with Microarray Analyses

This chapter reviews the microarray technology and deal with the majority of aspects regarding microarrays. It focuses on today’s knowledge of separation techniques and methodologies of complex signal, i.e. samples. Overall, the chapter reviews the current knowledge on the topic of microarrays and presents the analyses and techniques used, which facilitate such approaches. It starts with the theoretical framework on microarray technology; second, the chapter gives a brief review on statistical methods used for microarray analyses, and finally, it contains a detailed review of the methods used for discriminating traces of nucleic acids within a complex mixture of samples.

Lithium's gene expression profile, relevance to neuroprotection A cDNA microarray study

Lithium can prevent 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) dopaminergic neurotoxicity in mice. This is attributed to induced antioxidant and antiapoptotic state, which among other factors results from induction of Bcl-2 and reduction of Bax, however, cDNA microarray reveals that this represents only one cascade of lithium targets. From analyzing the gene expression profile of lithium, we are able to point out candidate genes that might be involved in the antioxidant and neuroprotective properties of lithium. Among these are, the cAMP response element binding (CREB) protein, extracellular signal-regulated kinase (ERK), both CREB and ERK-part of the mitogen-activated kinase pathway-were upregulated by lithium, downregulated by MPTP, and maintained in mice fed with lithium chloride (LiCl) supplemented diet and treated with MPTP. Our positive control included tyrosine hydroxylase which both its mRNA and protein levels were independently measured, in addition to Bcl-2 protein levels. Other important genes which were similarly regulated are plasma glutathione peroxidase precursor (GSHPX-P), protein kinase C alpha type, insulin-like growth factor binding protein 4 precursor, and interferon regulatory factor. In addition, some genes were oppositely regulated, i.e., downregulated by lithium, upregulated by MPTP, and maintained in mice fed with LiCl supplemented diet and treated with MPTP, among these genes were basic fibroblast growth factor receptor 1 precursor, inhibin alpha subunit, glutamate receptor subunit zeta 1 precursor (NMD-R1), postsynaptic density protein-95 which together with NMD-R1 can form an apoptotic promoting complex. The discussed targets represent part of genes altered by chronic lithium. In fact lithium affected the expressions of more than 50 genes among these were basic transcription factors, transcription activators, cell signaling proteins, cell adhesion proteins, oncogenes and tumor suppressors, intracellular transducers, survival and death genes, and cyclins, here we discuss the relevance of these changes to lithium's reported neuroprotective properties.

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.

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.

Equilibrium electrostatics of responsive polyelectrolyte monolayers

The physical behavior of polyelectrolytes at solid-liquid interfaces presents challenges both in measurement and in interpretation. An informative, yet often overlooked, property that characterizes the equilibrium organization of these systems is their membrane or rest potential. Here a general classification scheme is presented of the relationship between the rest potential and structural response of polyelectrolyte films to salt concentration. A numerical lattice theory, adapted from the polymer community, is used to analyze the rest potential response of end-tethered polyelectrolyte layers in which electrostatics and short-range contact interactions conspire to bring about different structural states. As an experimental quantity the rest potential is a readily accessible, nonperturbing metric of the equilibrium structure of a polyelectrolyte layer. A first set of measurements is reported on monolayers of end-tethered, single-stranded DNA in monovalent (NaCl) and divalent (MgCl(2)) counterion environments. Intriguingly, in NaCl electrolyte at least two different mechanisms appear by which the DNA layers can structurally relax in response to changing salt conditions. In MgCl(2) the layers appear to collapse. The possible molecular mechanisms behind these behaviors are discussed. These studies provide insight into phenomena more generally underlying polyelectrolyte applications in the chemical, environmental, and biotechnological fields.

An integrated reaction-transport model for DNA surface hybridization: implications for DNA microarrays

DNA microarrays have the potential to revolutionize medical diagnostics and development of individualized medical treatments. However, accurate quantification of scantily expressed genes and precise measurement of small differences between different treatments is not currently feasible. A major challenge remains the understanding of physicochemical processes and rate-limiting steps of hybridization of complex mixtures of DNA targets on immobilized DNA probes. To this end, we developed a mathematical model to describe the effects of molecular orientation and transport on the kinetics and efficiency of hybridization. First, we calculated the hybridization rate constant based on the distance between the complementary nucleotides of the target and probe DNA. The surface reaction rate was then integrated with translational and rotational transport of target DNA to the surface to calculate the kinetics of hybridization. Our model predicts that hybridization of short DNA targets is diffusion limited but long targets are kinetically limited. In addition, for DNA targets with wide size distribution, it may be difficult to distinguish between specific binding of long targets from nonspecific binding of short ones. Our model provides novel insight into the process of DNA hybridization and suggests operating conditions to improve the sensitivity and accuracy of microarray experiments.

DNA surface hybridization regimes

Surface hybridization reactions, in which sequence-specific recognition occurs between immobilized and solution nucleic acids, are routinely carried out to quantify and interpret genomic information. Although hybridization is fairly well understood in bulk solution, the greater complexity of an interfacial environment presents new challenges to a fundamental understanding, and hence application, of these assays. At a surface, molecular interactions are amplified by the two-dimensional nature of the immobilized layer, which focuses the nucleic acid charge and concentration to levels not encountered in solution, and which impacts the hybridization behavior in unique ways. This study finds that, at low ionic strengths, an electrostatic balance between the concentration of immobilized oligonucleotide charge and solution ionic strength governs the onset of hybridization. As ionic strength increases, the importance of electrostatics diminishes and the hybridization behavior becomes more complex. Suppression of hybridization affinity constants relative to solution values, and their weakened dependence on the concentration of DNA counterions, indicate that the immobilized strands form complexes that compete with hybridization to analyte strands. Moreover, an unusual regime is observed in which the surface coverage of immobilized oligonucleotides does not significantly influence the hybridization behavior, despite physical closeness and hence compulsory interactions between sites. These results are interpreted and summarized in a diagram of hybridization regimes that maps specific behaviors to experimental ranges of ionic strength and probe coverage.

Hybridization at a surface: the role of spacers in DNA microarrays

Flexible spacer chains are utilized to enhance the hybridization of terminally anchored oligonucleotide probes of DNA microarrays. A polymer physics approach identifies an underlying mechanism and yields guidelines for the optimal spacer length in terms of the effect on the equilibrium state. For low grafting densities, the dominant effect arises because of the decimation in the number of accessible chain configurations due to the impenetrable surface. Opposing trends are found for long targets and for short targets. At higher grafting densities, different brush regimes introduce an extra hybridization penalty. A novel brush regime is obtained for long neutral spacers and short targets at intermediate ionic strength where the chain stretching is due to the electrostatic interactions between the probes.

Experimental models and high-throughput diagnostics for tissue regeneration

During wound healing, cells recreate functional structures to regenerate the injured tissue. Understanding the healing process is essential for the development of new concepts and the design of novel biomimetic approaches for delivery of cells, genes and growth factors to accelerate tissue regeneration. To this end, realistic experimental models and high-throughput diagnostics are necessary to understand the molecular mechanisms of healing and reveal the genetic networks that determine tissue repair versus regeneration. Following a brief overview of the biology of wound healing, this review covers the in vitro and in vivo models that are employed at present to study the healing process. Discussion then covers the application of high-throughput genomic and proteomic technologies in epithelial development, living skin substitutes and wound healing. Finally, this review provides a perspective on novel technologies that should be developed to facilitate the understanding of wound healing complications and the design of therapeutics that target the underlying deficiencies.

Hybridization dynamics of surface immobilized DNA

We model the hybridization kinetics of surface attached DNA oligomers with solubilized targets. Using both master equation and rate equation formalisms, we show that, for surface coverages at which the surface immobilized molecules interact, barriers to penetration create a distribution of target molecule concentrations within the adsorbed layer. By approximately enumerating probe and target conformations, we estimate the probability of overlap between complementary probe and target regions as a function of probe density and chain length. In agreement with experiments, we find that as probe molecules interact more strongly, fewer nucleation sites become accessible and binding rates are diminished relative to those in solution. Nucleation sites near the grafted end of the probes are least accessible; thus targets which preferentially bind to this region show more drastic rate reductions than those that bind near the free end of the probe. The implications of these results for DNA-based biosensors are discussed.

Cell culture and life support system for microbioreactor and bioassay

A microchip-based cell culture system was developed and a primary culture of rat hepatocytes was realized in the system. The microchip was made of glass plates and had a microchannel and a microculture flask inside. The flask inner surface was coated using collagen solution; then FBS and DMEM were added successively. Rat hepatocytes suspended in a medium was introduced into the microchip and incubated at 37 degrees C in a humidified atmosphere with 5% CO(2). Because of the shortage of dissolved oxygen, the cultured cells in the microchip resulted in a significant decrease in viability. To overcome this, a continuous medium flow oxygen and nutrition supplying system was designed and constructed. The system realized good cell growth for at least 4 days. Liver-specific functions, such as the synthesis of albumin and urea from hepatocytes were confirmed.

Complex Graph Matrix Representations and Characterizations of Proteomic Maps and Chemically Induced Changes to Proteomes

We have presented a complex graph matrix representation to characterize proteomics maps obtained from 2D-gel electrophoresis. In this method, each bubble in a 2D-gel proteomics map is represented by a complex number with components which are charge and mass. Then, a graph with complex weights is constructed by connecting the vertices in the relative order of abundance. This yields adjacency matrices and distance matrices of the proteomics graph with complex weights. We have computed the spectra, eigenvectors, and other properties of complex graphs and the Euclidian/graph distance obtained from the complex graphs. The leading eigenvalues and eigenvectors and, likewise, the smallest eigenvalues and eigenvectors, and the entire graph spectral patterns of the complex matrices derived from them yield novel weighted biodescriptors that characterize proteomics maps with information of charge and masses of proteins. We have also applied these eigenvector and eigenvalue maps to contrast the normal cells and cells exposed to four peroxisome proliferators, namely, clofibrate, diethylhexyl phthalate (DEHP), perfluorodecanoic acid (PFDA), and perfluoroctanoic acid (PFOA). Our complex eigenspectra show that the proteomic response induced by DEHP differs from the corresponding responses of other three chemicals consistent with their chemical structures and properties.

Peripheral blood gene expression signature mirrors central nervous system disease: the model of multiple sclerosis

Global gene expression analysis using cDNA microarrays has proven to be a sensitive method to gain insight into molecular pathways mediating multiple sclerosis (MS) activity and to develop and refine the molecular taxonomy of the disease. This method was applied as a tool to investigate molecular heterogeneity of MS related gene transcripts in the aim of distinguishing between transcripts that trigger disease activity and account for direct genotype-phenotype correlation, and those whose expression is altered as a downstream effect of other genes. This review summarizes the current state of gene expression microarray applications for the study of MS, and specifically emphasizes the results of gene expression studies using peripheral blood mononuclear cells (PBMC) that were shown to be useful for better understanding of disease related pathways, monitoring of therapeutic responses to various drugs and prediction of clinical outcome. In the long run it is expected that the information provided by cDNA microarrays experiments will allow the determination of key molecular players involved in MS pathogenesis, and lead to better management of the disease using targeted treatments that will prevent its progression.

Use of a suspension array for rapid identification of the varieties and genotypes of the Cryptococcus neoformans species complex

Cryptococcus neoformans is an encapsulated fungal pathogen known to cause severe disease in immunocompromised patients. The disease, cryptococcosis, is mostly acquired by inhalation and can result in a chronic meningoencephalitis, which can be fatal. Here, we describe a molecular method to identify the varieties and genotypic groups within the C. neoformans species complex from culture-based assays. The method employs a novel flow cytometer with a dual laser system that allows the simultaneous detection of different target sequences in a multiplex and high-throughput format. The assay uses a liquid suspension hybridization format with specific oligonucleotide probes that are covalently bound to the surface of fluorescent color-coded microspheres. Biotinylated target amplicons, which hybridized to their complementary probe sequences, are quantified by the addition of the conjugate, streptavidin R-phycoerythrin. In this study we developed and validated eight probes derived from sequence analysis of the intergenic spacer region of the rRNA gene region. The assay proved to be specific and sensitive, allowed discrimination of a 1-bp mismatch with no apparent cross-reactivity, and detected 10(1) to 10(3) genome copies. The described protocol, which can be used directly with yeast cells or isolated DNA, can be undertaken in less than 1 h following PCR amplification and permits identification of species in a multiplex format. In addition to a multiplex capability, the assay allows the simultaneous detection of target sequences in a single reaction. The accuracy, speed, flexibility, and sensitivity of this technology are a few of the advantages that will make this assay useful for the diagnosis of human cryptococcal infections and other pathogenic diseases.

Competitive hybridization kinetics reveals unexpected behavior patterns

Although the kinetics of hybridization between a soluble polynucleotide and an immobilized complementary sequence have been studied by others, it is almost universally assumed that the interaction between each probe/target pair can be treated as a separate event. This simplifies the mathematics considerably, but it can give a false picture of the extent of hybridization that one achieves at equilibrium as well as the relative quantities of each hybridized pair during the approach to equilibrium. Here we solve the relevant kinetics equations simultaneously using Mathematica as a simulation language. Among the interesting results of this study are that, for certain circumstances, the relative ratio of incorrect to correct hybrids can change dramatically with time; that the relative abundances of two pairs are not what one would expect based on their equilibrium dissociation constants; that the volume of a wash solution after hybridization can have a large effect on results; and the fact that a short wash is typically better than a long one. We show that an optimum wash time exists for a given set of conditions. In addition, the ratio of soluble to insoluble (spotted) molecules can influence results substantially. Finally, the true levels of rare transcripts can be masked by the presence of highly abundant ones. Code is supplied to enable others to study conditions beyond those presented in this article.

Brush effects on DNA chips: thermodynamics, kinetics, and design guidelines

In biology experiments, oligonucleotide microarrays are contacted with a solution of long nucleic acid targets. The hybridized probes thus carry long tails. When the surface density of the oligonucleotide probes is high enough, the progress of hybridization gives rise to a polyelectrolyte brush due to mutual crowding of the nucleic acid tails. The free-energy penalty associated with the brush modifies both the hybridization isotherms and the rate equations: the attainable hybridization is lowered significantly as is the hybridization rate. When the equilibrium hybridization fraction, x(eq), is low, the hybridization follows a Langmuir type isotherm, x(eq)/(1 - x(eq)) = c(t)K where c(t) is the target concentration and K is the equilibrium constant. K is smaller than its bulk value by a factor (n/N)(2/5) due to wall effects where n and N denote the number of bases in the probe and the target. At higher x(eq), when the brush is formed, the leading correction is x(eq)/(1 - x(eq)) = c(t)K exp - const'x(eq)(2/3) - x(B)(2/3) where x(B) corresponds to the onset of the brush regime. The denaturation rate constant in the two regimes is identical. However, the hybridization rate constant in the brush regime is lower, the leading correction being exp -const' x(2/3) - x(B)(2/3).

Preparation of Z-L-Phe-OH-NBD imprinted microchannel and its molecular recognition study

An integrated microchip was presented for selective recognition of Z-L-Phe-OH-NBD, using molecular imprinting technique. Molecularly imprinted polymer (MIP) were prepared by copolymerization in the presence of template molecule Z-L-Phe-OH-NBD, in which methacrylic acid and 4-vinylpyridine were used as functional monomers and ethylene dimethacrylate used as crosslinker. Imprinted polymer particles were introduced into a microchannel fabricated with a new material i.e. poly(methylvinylsiloxane) by simply rapid prototyping method. Imprinted effects were evaluated by laser-induced fluorescence (LIF) detection where the results indicated that good selective recognition for Z-L-Phe-OH-NBD in the imprinted polymer was obtained; the adsorption percentage of Z-L-Phe-OH-NBD was 61%. In contrast to conventional molecular imprinting analysis, integration shortened overall analysis time from 4h to 10 min.

Physicochemical perspectives on DNA microarray and biosensor technologies

Detection and sequence-identification of nucleic acid molecules is often performed by binding, or hybridization, of specimen "target" strands to immobilized, complementary "probe" strands. A familiar example is provided by DNA microarrays used to carry out thousands of solid-phase hybridization reactions simultaneously to determine gene expression patterns or to identify genotypes. The underlying molecular process, namely sequence-specific recognition between complementary probe and target molecules, is fairly well understood in bulk solution. However, this knowledge proves insufficient to adequately understand solid-phase hybridization. For example, equilibrium binding constants for solid-phase hybridization can differ by many orders of magnitude relative to solution values. Kinetics of probe-target binding are affected. Surface interactions, electrostatics and polymer phenomena manifest themselves in ways not experienced by hybridizing strands in bulk solution. The emerging fundamental understanding provides important insights into application of DNA microarray and biosensor technologies.

Development of a Microchip-Based Bioassay System Using Cultured Cells

We developed a novel bioassay system using a glass microchip and cultured cells. A microchamber for cell culture and microchannels for reactions and detection were fabricated on a Pyrex glass substrate by photolithography and wet etching techniques. Cell culture, chemical and enzymatic reactions, and detection were integrated into the microchip. To keep different temperatures locally in three areas of the microchip, we designed and fabricated a temperature control device. Nitric oxide released from macrophage-like cells stimulated by lipopolysaccharide was successfully monitored with the microchip, the temperature control device, and a thermal lens microscope. The total assay time was reduced from 24 to 4 h, and detection limit of NO was improved from 1 x 10(-6) to 7 x 10(-8) M compared with conventional methods. Moreover, the system could monitor a time course of the release, which is difficult to measure by conventional batch methods. We conclude that this system is promising for a rapid bioassay system with very small consumption of cells.

Hybridization isotherms of DNA microarrays and the quantification of mutation studies

BACKGROUND

Diagnostic DNA arrays for detection of point mutations as markers for cancer usually function in the presence of a large excess of wild-type DNA. This excess can give rise to false positives as a result of competitive hybridization of the wild-type target at the mutation spot. Analysis of the DNA array data is typically qualitative, aimed at establishing the presence or absence of a particular point mutation. Our theoretical approach yields methods for quantifying the analysis to obtain the ratio of concentrations of mutated and wild-type DNA.

METHOD

The theory is formulated in terms of the hybridization isotherms relating the hybridization fraction at the spot to the composition of the sample solutions at thermodynamic equilibrium. It focuses on samples containing an excess of single-stranded DNA and on DNA arrays with a low surface density of probes. The hybridization equilibrium constants can be obtained by the nearest-neighbor method.

RESULTS

Two approaches allow acquisition of quantitative results from the DNA array data. In one, the signal of the mutation spot is compared with that of the wild-type spot. The implementation requires knowledge of the saturation intensity of the two spots. The second approach requires comparison of the intensity of the mutation spot at two different temperatures. In this case, knowledge of the saturation signal is not always necessary.

CONCLUSIONS

DNA arrays can be used to obtain quantitative results on the concentration ratio of mutated DNA to wild-type DNA in studies of somatic point mutations.

Sensitivity, specificity, and the hybridization isotherms of DNA chips

Competitive hybridization, at the surface and in the bulk, lowers the sensitivity of DNA chips. Competitive surface hybridization occurs when different targets can hybridize with the same probe. Competitive bulk hybridization takes place when the targets can hybridize with free complementary chains in the solution. The effects of competitive hybridization on the thermodynamically attainable performance of DNA chips are quantified in terms of the hybridization isotherms of the spots. These relate the equilibrium degree of the hybridization to the bulk composition. The hybridization isotherm emerges as a Langmuir isotherm modified for electrostatic interactions within the probe layer. The sensitivity of the assay in equilibrium is directly related to the slope of the isotherm. A simpler description is possible, in terms of c(50) values specifying the bulk composition corresponding to 50% hybridization at the surface. The effects of competitive hybridization are important for the quantitative analysis of DNA chip results, especially when used to study point mutations.

Designing better probes: effect of probe size, mismatch position and number on hybridization in DNA oligonucleotide microarrays

DNA microarrays represent a powerful technology whose use has been hampered by the uncertainty of whether the same principles, established on a scale typical for membrane hybridizations, apply when using the smaller, rigid support of microarrays. Our goal was to understand how the number and position of base pair mismatches, probe length and their G+C content affect the intensity and specificity of the hybridization signal. One set of oligonucleotides (50-mers) based on three regions of the Bacillus thuringiensis cry1Aa1 gene possessing 30%, 42%, and 56% G+C content, a second set with similar G+C content (37% to 40%) but different lengths (30 to 100 bases), and finally amplicon probes (101 to 3000 base pairs) with G+C contents of 37% to 39%, were used. Probes with mismatches distributed over their entire length were the most specific, while those with mismatches grouped at either the 3' or 5'-end were the least specific. Hybridizations done at 8 to 13 degrees C below the calculated T(m) of perfectly matched probes, as compared to the widely used lower temperatures of 20 to 25 degrees C, enhanced probe discrimination. Longer probes produced higher fluorescent hybridization signals than shorter ones. These results should help to optimize the design of oligonucleotide-based DNA microarrays.

Characterization of a polymeric adsorbed coating for DNA microarray glass slides

A new method was developed to covalently attach target molecules onto the surface of glass substrates such as microwell plates, beads, tubes, and microscope slides, for hybridization assays with fluorescent targets. The innovative concept introduced by this work is to physically adsorb onto underivatized glass surfaces a functional copolymer, able to graft amino-modified DNA molecules. The polymer, obtained by radical copolymerization of N,N-dimethylacrylamide, N-acryloyloxysuccinimide, and 3-(trimethoxysilyl)propyl methacrylate, copoly(DMA-NAS-MAPS), self-adsorbs onto the glass surface very quickly, typically in 5-30 min. The film, formed on the surface, bears active esters, which react with amino-modified DNA targets. The surface layer is stable in an aqueous buffer containing various additives (SDS, urea, salt), even at boiling temperature. It should be emphasized that the coating is formed by the immersion of glass slides in a diluted aqueous solution of the polymer. Therefore, the procedure is fast, inexpensive, robust, and reliable, and it does not require time-consuming glass pretreatments. Slides, coated with copoly(DMA-NAS-MAPS), were profitably used as substrates for the preparation of low-density DNA microarrays. The density and the thickness of the films were evaluated by X-ray reflectivity measurements whereas the extent of reaction of functional groups with DNA molecules was determined by a functional test. The experiments indicate that half of the active groups present on the surface reacts with oligonucleotide probes.

Direct Observation of Single Native DNA Molecules in a Microchannel by Differential Interference Contrast Microscopy

Direct observation of single native DNA molecules in a microchannel was monitored without fluorescence-dye labeling. At a PDMS/glass microchip, the image of individual lambda-DNA molecules appear sharp and distinct in Nomarski differential interference contrast microscopy. Intercalator dyes affected the physical properties and dynamic behavior of individual DNA molecules. From the migration velocities in the microchannel it is evident that native DNA molecules migrated faster than DNA molecules labeled with the intercalator YOYO-1. This is because YOYO-1 increases the molecular weight and size of lambda-DNA and decreases the charge. The electric field strength and pH also affected the dynamics of single DNA molecules. We also observed that YOYO-labeled DNA was more stretched out compared to native DNA.

Advantages and limitations of microarray technology in human cancer

Cancer is a highly variable disease with multiple heterogeneous genetic and epigenetic changes. Functional studies are essential to understanding the complexity and polymorphisms of cancer. The final deciphering of the complete human genome, together with the improvement of high throughput technologies, is causing a fundamental transformation in cancer research. Microarray is a new powerful tool for studying the molecular basis of interactions on a scale that is impossible using conventional analysis. This technique makes it possible to examine the expression of thousands of genes simultaneously. This technology promises to lead to improvements in developing rational approaches to therapy as well as to improvements in cancer diagnosis and prognosis, assuring its entry into clinical practice in specialist centers and hospitals within the next few years. Predicting who will develop cancer and how this disease will behave and respond to therapy after diagnosis will be one of the potential benefits of this technology within the next decade. In this review, we highlight some of the recent developments and results in microarray technology in cancer research, discuss potentially problematic areas associated with it, describe the eventual use of microarray technology for clinical applications and comment on future trends and issues.

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Gene expression profile of tissue engineered skin subjected to acute barrier disruption

The main function of the skin is to protect the body from infection, dehydration, and other environmental insults by creating an impermeable barrier of cornified cell layers, the stratum corneum. In contrast to cells in culture, tissue-engineered skin equivalents contain well-developed basal, spinous, granular, and cornified cell layers providing an excellent model to study the tissue response to barrier disruption. After 7 d of culture at the air-liquid interface the barrier of the tissues was disrupted by short exposure to acetone and the global gene expression profile of the tissues was evaluated using DNA microarrays. We found that tissue-engineered skin responds to barrier disruption by a two-wave dynamic response. Early on, the cells upregulate signal transducing, stress, proliferation, and inflammation genes to protect the tissue and possibly to communicate the damage to the immune system and neighboring tissues. At later times, pro-inflammatory cytokines and some growth-related genes are significantly reduced but enzymes that participate in lipid synthesis increase, suggesting that the epidermal cells attempt to restore the lost barrier. Quantitative immunostaining for the proliferation antigen Ki67 revealed that barrier disruption by acetone increased proliferation by 4-fold in agreement with the microarray data and previous in vivo studies. Our work suggests that functional genomics may be used in tissue engineering to understand tissue development, wound regeneration, and response to environmental stimuli. A better understanding of engineered tissues at the molecular level may facilitate their application in the clinic and as biosensors for toxicologic testing.

The long-term effects of carbon dioxide on natural systems: issues and research needs

Research on the responses of plants to increasing levels of carbon dioxide has largely assessed physiological, phenotypic, and community-level effects. Little attention has been directed to investigating the possibility that escalating levels of carbon dioxide may serve as a selection pressure altering the genetic diversity of plant populations. Plant populations exposed to elevated levels of heavy metals or ozone have been shown to undergo selection, and it is reasonable to consider that populations experiencing long-term exposure to escalating levels of carbon dioxide may show similar responses. Selection of this nature could be particularly significant because of the global extent of the effect. Genetic selection occurs when plants are subject to an agent of selection and three conditions for a property responsive to the agent are satisfied at the population level. In the population, variation must exist in the property, part of the variation must be genetically controlled, and variation in the property must affect reproductive fitness. If these conditions are satisfied, the frequency distribution of the property, and the gene frequency associated with it, will change over time in response to the agent of selection. Research on the selection pressure effects of carbon dioxide involves assessments that integrate across temporal, spatial, and biological scales, and embrace variation in the environment and genetics. To be effective, the research will have to adopt approaches that have not been commonly employed in previous air quality studies. The questions posed are biologically complex, and new research approaches and methods are required to answer them. Some of the new approaches that can be used to assess changes in gene frequency include use of natural carbon dioxide gradients, model plant systems, molecular markers, and DNA microarray technology.

Microchip-based chemical and biochemical analysis systems

This review focuses on chemical and biochemical analysis systems using pressure-driven microfluidic devices or microchips. Liquid microspace in a microchip has several characteristic features, for example, short diffusion distances, high specific interfacial area and small heat capacity. These characteristics are the key to controlling micro unit operations and constructing new integrated chemical systems. By combining multiphase laminar flow and the micro unit operations, such as mixing, reaction, extraction and separation, continuous flow chemical processing systems are realized in the microchip format. By applying these concepts, several different analysis systems were successfully integrated on a microchip. In this paper, we introduce the microchip-based chemical systems for wet analysis of cobalt ion, multi-ion sensors, immunoassay, and cellular analysis.

Integration of chemical and biochemical analysis systems into a glass microchip

This review focuses on the integration of chemical and biochemical analysis systems into glass microchips for general use. By combining multiphase laminar flow driven by pressure and micro unit operations, such as mixing, reaction, extraction and separation, continuous-flow chemical processing systems can be realized in the microchip format, while the application of electrophoresis-based chip technology is limited. The performances of several analysis systems were greatly improved by microchip integration because of some characteristics of microspace, i.e., a large specific interface area, a short molecular diffusion time, a small heat capacity and so on. By applying these concepts, several different analysis systems, i.e., wet analysis of cobalt ion, multi-ion sensor, immunoassay, and cellular analysis, were successfully integrated on a microchip. These microchip technologies are promising for meeting the future demands of high-throughput chemical processing.

Functional genomics approaches for the identification and validation of antifungal drug targets

So far, antifungal drug discovery seems to have benefited little from the enormous advances in the field of genomics in the last decade. Although it has become clear that traditional drug screening is not delivering the long-awaited novel potent antifungals, little has been reported on efforts to use novel genome-based methodologies in the quest for new drugs acting on human pathogenic fungi. Although the market for a novel systemic and even topical broad-spectrum antifungal appears considerable, many large pharmaceutical companies have decided to scale back their activities in antifungal drug discovery. Here we report on some of the recent advances in genomics-based technologies that will allow us not only to identify and validate novel drug targets but hopefully also to discover active therapeutic agents. Novel drug targets have already been found by 'en masse' gene inactivation strategies (e.g. using antisense RNA inhibition). In addition, genome expression profiling using DNA microarrays helps to assign gene function but also to understand better the mechanism of action of known drugs (e.g. itraconazole) and to elucidate how new drug candidates work. No doubt, we have a long way to go just to catch up with the advances made in other therapeutic areas, but all tools are at hand to derive practical benefits from the genomics revolution. The next few years should prove a very exciting time in the history of antifungal drug discovery.

Individual variation of adipose gene expression and identification of covariated genes by cDNA microarrays

Gene expression profiling through the application of microarrays provides comprehensive assessment of gene expression levels in a given tissue or cell population, as well as information on changes of gene expression in altered physiological or pathological situations. Microarrays are particularly suited to study interactions in the regulation of large numbers of different genes, since their expression is analyzed simultaneously. For improved understanding of the physiology of adipose tissue, and consequently obesity and diabetes, identification of covariability in gene expression was attempted by analysis of the individual variability of gene expression in subcutaneous white and brown fat of the Siberian dwarf hamster using microarrays containing approximately 300 cDNA fragments of adipose genes. No sex-dependant variability in gene expression could be found, and overall individual variability was rather low, with more than 80% of clones showing a coefficient of variation lower than 30%. Uncoupling protein 1 (UCP1) displayed a high variability of gene expression in brown fat, which was negatively correlated with the gene expression of complement factor B (FactB), implying a possible functional relationship.

Single-cell analysis by a scanning thermal lens microscope with a microchip: direct monitoring of cytochrome c distribution during apoptosis process

We developed a microsystem for cell experiments consisting of a scanning thermal lens microscope detection system and a cell culture microchip. The microchip system was good for liquid control in microspace, and this results in secure cell stimulation and coincident in vivo observation of the cell responses. The system could detect nonfluorescent biological substances with extremely high sensitivity without any labeling materials and had a high spatial resolution of approximately 1 microm. This system was applied to monitoring of cytochrome c distribution in a neuroblastoma-glioma hybrid cell cultured in the microflask (1 mm x 10 mm x 0.1 mm; 1 microL) fabricated in a glass microchip. Cytochrome c release from mitochondria to cytosol during the apoptosis process was successfully monitored with this system. The cytochrome c detected with this system was estimated to be approximately 10 zmol. We concluded that the system was suitable for measuring the distribution of chemical substances in a single cell because the microchip is good for liquid handling in microspace and the thermal lens microscope has high sensitivity and spatial resolution.

An assessment of Motorola CodeLink microarray performance for gene expression profiling applications

DNA microarrays enable users to obtain information on differences in transcript abundance on a massively parallel scale. Recently, however, data analyses have revealed potential pitfalls related to image acquisition, variability and misclassifications in replicate measurements, cross-hybridization and sensitivity limitations. We have generated a series of analytical tools to address the manufacturing, detection and data analysis components of a microarray experiment. Together, we have used these tools to optimize performance in an expression profiling study. We demonstrate three significant advantages of the Motorola CodeLink platform: sensitivity of one copy per cell, coefficients of variation of 10% in the hybridization signals across slides and across target preparations, and specificity in distinguishing highly homologous sequences. Slides where oligonucleotide probes are spotted in 6-fold redundancy were used to demonstrate the effect of replication on data quality. Lastly, the differential expression ratios obtained with the CodeLink expression platform were validated against those obtained with quantitative reverse transcription-PCR assays for 54 genes.

Microchip-based immunoassay system with branching multichannels for simultaneous determination of interferon-gamma

A bead-bed immunoassay system suitable for simultaneous assay of multiple samples was constructed on a microchip. The chip had branching multichannels and four reaction and detection regions; the constructed system could process four samples at a time with only one pump unit. Interferon gamma was assayed by a 3-step sandwich immunoassay with the system coupled to a thermal lens microscope as a detector. The biases of the signal intensities obtained from each channel were within 10%, and coefficients of variation were almost the same level as the single straight channel assay. The assay time for four samples was 50 min instead of 35 min for one sample in the single-channel assay; hence higher throughput was realized with the branching structure chip.

Methods of in vitro toxicology

In vitro methods are common and widely used for screening and ranking chemicals, and have also been taken into account sporadically for risk assessment purposes in the case of food additives. However, the range of food-associated compounds amenable to in vitro toxicology is considered much broader, comprising not only natural ingredients, including those from food preparation, but also compounds formed endogenously after exposure, permissible/authorised chemicals including additives, residues, supplements, chemicals from processing and packaging and contaminants. A major promise of in vitro systems is to obtain mechanism-derived information that is considered pivotal for adequate risk assessment. This paper critically reviews the entire process of risk assessment by in vitro toxicology, encompassing ongoing and future developments, with major emphasis on cytotoxicity, cellular responses, toxicokinetics, modelling, metabolism, cancer-related endpoints, developmental toxicity, prediction of allergenicity, and finally, development and application of biomarkers. It describes in depth the use of in vitro methods in strategies for characterising and predicting hazards to the human. Major weaknesses and strengths of these assay systems are addressed, together with some key issues concerning major research priorities to improve hazard identification and characterisation of food-associated chemicals.

Analysis of gene expression with cDNA microarrays in rat brain after 7 and 42 days of oral lithium administration

The gene expression profile in rat brain was examined using microarrays in rats fed lithium chloride for 7 days (subacute) or 42 days (chronic). Brain lithium concentrations were 0.39 mM and 0.79 mM (therapeutically relevant), at 7 and 42 days, respectively. Of the 4132 genes represented in the microarrays, 25 genes were downregulated by at least twofold and none was upregulated after 7 days of treatment. Expression of 50 genes was downregulated by at least two-fold at 42 days, without any being upregulated. Lithium treatment for 7 days did not affect at a measurable extent expression of 37 of the 50 genes that were downregulated at 42 days. Genes whose expression was changed at 42 days coded for a number of receptors, protein kinases, transcription and translation factors, markers of energy metabolism, and signal transduction. Thus, chronic lithium at a therapeutically relevant concentration reduced expression of a large number of genes involved in multiple signaling and other pathways, without increasing expression at a comparable extent.