Use of hybridization kinetics for differentiating specific from non-specific binding to oligonucleotide microarrays

Correlation between aortic valve protein levels and vector flow mapping of wall shear stress and oscillatory shear index in patients supported with continuous-flow left ventricular assist devices

BACKGROUND

Continuous-flow left ventricular assist devices commonly lead to aortic regurgitation, which results in decreased pump efficiency and worsening heart failure. We hypothesized that non-physiological wall shear stress and oscillatory shear index alter the abundance of structural proteins in aortic valves of left ventricular assist device (LVAD) patients.

METHODS

Doppler images of aortic valves of patients undergoing heart transplants were obtained. Eight patients had been supported with LVADs, whereas 10 were not. Aortic valve tissue was collected and protein levels were analyzed using mass spectrometry. Echocardiographic images were analyzed and wall shear stress and oscillatory shear index were calculated. The relationship between normalized levels of individual proteins and in vivo echocardiographic measurements was evaluated.

RESULTS

Of the 57 proteins of interest, there was a strong negative correlation between levels of 15 proteins and the wall shear stress (R < -0.500, p ≤ 0.05), and a moderate negative correlation between 16 proteins and wall shear stress (R -0.500 to -0.300, p ≤ 0.05). Gene ontology analysis demonstrated clusters of proteins involved in cellular structure. Proteins negatively correlated with WSS included those with cytoskeletal, actin/myosin, cell-cell junction and extracellular functions. C: In aortic valve tissue, 31 proteins were identified involved in cellular structure and extracellular junctions with a negative correlation between their levels and wall shear stress. These findings suggest an association between the forces acting on the aortic valve (AV) and leaflet protein abundance, and may form a mechanical basis for the increased risk of aortic leaflet degeneration in LVAD patients.

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.

Full pathogen characterisation: species identification including the detection of virulence factors and antibiotic resistance genes via multiplex DNA-assays

Antibiotic resistances progressively cause treatment failures, and their spreading dynamics reached an alarming level. Some strains have already been classified as highly critical, e.g. the ones summarised by the acronym ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter spp.). To restrain this trend and enable effective medication, as much information as possible must be obtained in the least possible time. Here, we present a DNA microarray-based assay that screens for the most important sepsis-relevant 44 pathogenic species, 360 virulence factors (mediate pathogenicity in otherwise non-pathogenic strains), and 409 antibiotic resistance genes in parallel. The assay was evaluated with 14 multidrug resistant strains, including all ESKAPE pathogens, mainly obtained from clinical isolates. We used a cost-efficient ligation-based detection platform designed to emulate the highly specific multiplex detection of padlock probes. Results could be obtained within one day, requiring approximately 4 h for amplification, application to the microarray, and detection.

A comparison of methods for DNA preparation prior to microarray analysis

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

The owl sensor: a 'fragile' DNA nanostructure for the analysis of single nucleotide variations

Analysis of single nucleotide variations (SNVs) in DNA and RNA sequences is instrumental in healthcare for the detection of genetic and infectious diseases and drug-resistant pathogens. Here we took advantage of the developments in DNA nanotechnology to design a hybridization sensor, named the 'owl sensor', which produces a fluorescence signal only when it complexes with fully complementary DNA or RNA analytes. The novelty of the owl sensor operation is that the selectivity of analyte recognition is, at least in part, determined by the structural rigidity and stability of the entire DNA nanostructure rather than exclusively by the stability of the analyte-probe duplex, as is the case for conventional hybridization probes. Using two DNA and two RNA analytes we demonstrated that owl sensors differentiate SNVs in a wide temperature range of 5 °C-32 °C, a performance unachievable by conventional hybridization probes including the molecular beacon probe. The owl sensor reliably detects cognate analytes even in the presence of 100 times excess of single base mismatched sequences. The approach, therefore, promises to add to the toolbox for the diagnosis of SNVs at ambient temperatures.

A universal split spinach aptamer (USSA) for nucleic acid analysis and DNA computation

We demonstrate how a single universal spinach aptamer (USSA) probe can be used to detect multiple (potentially any) nucleic acid sequences. USSA can be used for cost-efficient and highly selective analysis of even folded DNA and RNA analytes, as well as for the readout of outputs of DNA logic circuits.

Highly Specific Ligation-dependent Microarray Detection of Single Nucleotide Polymorphisms

The fast detection and characterization of pathogens are essential for an efficient treatment of infectious diseases. However, the development of improved and reliable diagnostic methods is still an ongoing process because not only pathogens but also their antibiotic resistances have to be identified. The gold standard today is, however, a cultivation-based characterization approach, which takes days until results can be evaluated. In patients with, for example, severe sepsis, the diagnostic test duration is a very critical parameter because a delay of treatment optimization increases the mortality rate significantly. In contrast, DNA-based molecular techniques can obtain results within a few hours. A further challenge in diagnostic laboratories is that patient samples have to be screened for hundreds of potential pathogens, antibiotic resistance genes, and virulence factors, which is achieved by using a number of specialized tests at the moment. Microarrays are outstandingly good for the simultaneous analysis of thousands of different genes and have become a popular tool in biological studies. Nevertheless, further optimizations of the microarray technology are required due to the obligatory DNA labeling and/or amplification steps and the effects of nonspecific DNA hybridization. Here, we describe a fast and highly specific solid-support-based DNA characterization method for pathogens and antibiotic resistance genes.

An (E,E)-α-farnesene synthase gene of soybean has a role in defence against nematodes and is involved in synthesizing insect-induced volatiles

Plant terpene synthase genes (TPSs) have roles in diverse biological processes. Here, we report the functional characterization of one member of the soybean TPS gene family, which was designated GmAFS. Recombinant GmAFS produced in Escherichia coli catalysed the formation of a sesquiterpene (E,E)-α-farnesene. GmAFS is closely related to (E,E)-α-farnesene synthase gene from apple, both phylogenetically and structurally. GmAFS was further investigated for its biological role in defence against nematodes and insects. Soybean cyst nematode (SCN) is the most important pathogen of soybean. The expression of GmAFS in a SCN-resistant soybean was significantly induced by SCN infection compared with the control, whereas its expression in a SCN-susceptible soybean was not changed by SCN infection. Transgenic hairy roots overexpressing GmAFS under the control of the CaMV 35S promoter were generated in an SCN-susceptible soybean line. The transgenic lines showed significantly higher resistance to SCN, which indicates that GmAFS contributes to the resistance of soybean to SCN. In soybean leaves, the expression of GmAFS was found to be induced by Tetranychus urticae (two-spotted spider mites). Exogenous application of methyl jasmonate to soybean plants also induced the expression of GmAFS in leaves. Using headspace collection combined with gas chromatography-mass spectrometry analysis, soybean plants that were infested with T. urticae were shown to emit a mixture of volatiles with (E,E)-α-farnesene as one of the most abundant constituents. In summary, this study showed that GmAFS has defence roles in both below-ground and above-ground organs of soybean against nematodes and insects, respectively.

Nonequilibrium Hybridization Enables Discrimination of a Point Mutation within 5-40 °C

Detection of point mutations and single nucleotide polymorphisms in DNA and RNA has a growing importance in biology, biotechnology, and medicine. For the application at hand, hybridization assays are often used. Traditionally, they differentiate point mutations only at elevated temperatures (>40 °C) and in narrow intervals (ΔT = 1-10 °C). The current study demonstrates that a specially designed multistranded DNA probe can differentiate point mutations in the range of 5-40 °C. This unprecedentedly broad ambient-temperature range is enabled by a controlled combination of (i) nonequilibrium hybridization conditions and (ii) a mismatch-induced increase of equilibration time in respect to that of a fully matched complex, which we dub "kinetic inversion".

Duplex DNA-Invading γ-Modified Peptide Nucleic Acids Enable Rapid Identification of Bloodstream Infections in Whole Blood

Bloodstream infections are a leading cause of morbidity and mortality. Early and targeted antimicrobial intervention is lifesaving, yet current diagnostic approaches fail to provide actionable information within a clinically viable time frame due to their reliance on blood culturing. Here, we present a novel pathogen identification (PID) platform that features the use of duplex DNA-invading γ-modified peptide nucleic acids (γPNAs) for the rapid identification of bacterial and fungal pathogens directly from blood, without culturing. The PID platform provides species-level information in under 2.5 hours while reaching single-CFU-per-milliliter sensitivity across the entire 21-pathogen panel. The clinical utility of the PID platform was demonstrated through assessment of 61 clinical specimens, which showed >95% sensitivity and >90% overall correlation to blood culture findings. This rapid γPNA-based platform promises to improve patient care by enabling the administration of a targeted first-line antimicrobial intervention.

Bloodstream infections continue to be a major cause of death for hospitalized patients, despite significant improvements in both the availability of treatment options as well their application. Since early and targeted antimicrobial intervention is one of the prime determinants of patient outcome, the rapid identification of the pathogen can be lifesaving. Unfortunately, current diagnostic approaches for identifying these infections all rely on time-consuming blood culture, which precludes immediate intervention with a targeted antimicrobial. To address this, we have developed and characterized a new and comprehensive methodology, from patient specimen to result, for the rapid identification of both bacterial and fungal pathogens without the need for culturing. We anticipate broad interest in our work, given the novelty of our technical approach combined with an immense unmet need.

Comparison of three magnetic bead surface functionalities for RNA extraction and detection

Magnetic beads are convenient for extracting nucleic acid biomarkers from biological samples prior to molecular detection. These beads are available with a variety of surface functionalities designed to capture particular subsets of RNA. We hypothesized that bead surface functionality affects binding kinetics, processing simplicity, and compatibility with molecular detection strategies. In this report, three magnetic bead surface chemistries designed to bind nucleic acids, silica, oligo (dT), and a specific oligonucleotide sequence were evaluated. Commercially available silica-coated and oligo (dT) beads, as well as beads functionalized with oligonucleotides complementary to respiratory syncytial virus (RSV) nucleocapsid gene, respectively recovered ∼75, ∼71, and ∼7% target RSV mRNA after a 1 min of incubation time in a surrogate patient sample spiked with the target. RSV-specific beads required much longer incubation times to recover amounts of the target comparable to the other beads (∼77% at 180 min). As expected, silica-coated beads extracted total RNA, oligo (dT) beads selectively extracted total mRNA, and RSV-specific beads selectively extracted RSV N gene mRNA. The choice of bead functionality is generally dependent on the target detection strategy. The silica-coated beads are most suitable for applications that require nucleic acids other than mRNA, especially with detection strategies that are tolerant of a high concentration of nontarget background nucleic acids, such as RT-PCR. On the other hand, oligo (dT) beads are best-suited for mRNA targets, as they bind biomarkers rapidly, have relatively high recovery, and enable detection strategies to be performed directly on the bead surface. Sequence-specific beads may be best for applications that are not tolerant of a high concentration of nontarget nucleic acids that require short RNA sequences without poly(A) tails, such as microRNAs, or that perform RNA detection directly on the bead surface.

Electron microscopic and proteomic comparison of terminal branches of the trigeminal nerve in patients with and without migraine headaches

BACKGROUND

The purpose of this study was to compare the ultrastructural appearance and protein expression of the zygomaticotemporal branch of the trigeminal nerve in patients with and without migraine headaches.

METHODS

After confirmation of migraine headache diagnosis on 15 patients, a 5-mm segment of the zygomaticotemporal branch of the trigeminal nerve that is routinely removed during migraine surgery was compared to similarly sized nerve segments obtained from 15 control patients without a history of migraine headaches, who underwent an endoscopic forehead lift where this nerve is routinely transected. The segments were snap-frozen at -80°C for the downstream proteomics analysis. In addition, the cytoarchitectural differences of the nerve segments obtained from the 15 migraine and 15 control subjects were examined in detail under the electron microscope.

RESULTS

Analysis of liquid chromatography/tandem mass spectrometry data sets identified differentially expressed proteins and networks composed of highly connected molecular modules (p=10 and p=10) in patients with migraine headaches. The nerves from patients with migraine headaches had a linear organization, disrupted myelin sheaths and target axons, and discontinuous neurofilaments that were poorly registered with the discontinuous myelin sheaths, suggesting axonal abnormality.

CONCLUSIONS

This study offers electron microscopic and proteomic evidence of axonal abnormality and deregulation of the myelination process in patients with migraine headaches compared with controls, offering the first objective evidence to support the role of peripheral mechanisms in the migraine headache cascade and an explanation as to why the surgical treatment of migraine headaches is efficacious.

Fast and highly specific DNA-based multiplex detection on a solid support

Highly specific and fast multiplex detection methods are essential to conduct reasonable DNA-based diagnostics and are especially important to characterise infectious diseases. More than 1000 genetic targets such as antibiotic resistance genes, virulence factors and phylogenetic markers have to be identified as fast as possible to facilitate the correct treatment of a patient. In the present work, we developed a novel ligation-based DNA probe concept that was combined with the microarray technology and used it for the detection of bacterial pathogens. The novel linear chain (LNC) probes identified all tested species correctly within 1 h based on their 16S rRNA gene in a 25-multiplex reaction. Genomic DNA was used directly as template in the ligation reaction identifying as little as 10(7) cells without any pre-amplification. The high specificity was further demonstrated characterising a single nucleotide polymorphism leading to no false positive fluorescence signals of the untargeted single nucleotide polymorphism (SNP) variants. In comparison to conventional microarray probes, the sensitivity of the novel LNC3 probes was higher by a factor of 10 or more. In summary, we present a fast, simple, highly specific and sensitive multiplex detection method adaptable for a wide range of applications.

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.

Investigation of non-specific signals in nanoporous flow-through and flow-over based sensors

Porous materials are ideal hosts to fabricate high sensitivity devices. Their large specific area and the possibility to modify the type and the strength of the matrix-analyte interactions allow the realization of sensors with finely tailored characteristics. In this article, we investigate how mass transport across the nanoporous structure influences the response due to the non-specific signal by comparing flow-through versus flow-over geometries. We observed a systematic overestimation of the sensitivity for porous substrate devices made of closed-ended pores compared with open-ended pore ones. Our analysis shows that such an effect is due to (unbound) analytes or contaminants that remain trapped within the pores and are not removed by rinsing of the sample. This result was verified by measuring similar samples in both flow through and flow over configurations, as well as their residual response after blockage of all their active sites. We also notice that sensors based on free-standing membranes show similar results independent of the fact that mass transport is induced by either an external pressure source or simply by Brownian motions.

Effect of Target Length on Specificity and Sensitivity of Oligonucleotide Microarrays: A Comparison between Dendrimer and Modified PCR based Labelling Methods

DNA microarrays are widely used as end point detectors for gene expression analysis. Several methods have been developed for target labelling to enable quantification but without taking target length into consideration. Here we highlight the importance of choosing the optimum target length that would ensure specificity without compromising sensitivity of the assay. For this, eight plasmids that are identical to each other except for a closely related 23 bp unique reporter (UR) sequence were used to examine the hybridization efficiency for these URs. Targets of various lengths were generated and labelled as follows: full length and 330 bases transcripts using a dendrimer labelling method, 120 bp amplicons by the modified PCR end labelling method and synthetic labelled targets of 33 bases. This report also shows the advantages of using the modified PCR method over other labelling methods in generating labelled amplicons of the desired lengths to maximize hybridization efficiency.

Growth factor priming differentially modulates components of the extracellular matrix proteome in chondrocytes and synovium-derived stem cells

To make progress in cartilage repair it is essential to optimize protocols for two-dimensional cell expansion. Chondrocytes and SDSCs are promising cell sources for cartilage repair. We previously observed that priming with a specific growth factor cocktail (1 ng/mL transforming growth factor-β1, 5 ng/mL basic fibroblast growth factor, and 10 ng/mL platelet-derived growth factor-BB) in two-dimensional culture, led to significant improvement in mechanical and biochemical properties of synovium-derived stem cell (SDSC)-seeded constructs. The current study assessed the effect of growth factor priming on the proteome of canine chondrocytes and SDSCs. In particular, growth factor priming modulated the proteins associated with the extracellular matrix in two-dimensional cultures of chondrocytes and SDSCs, inducing a partial dedifferentiation of chondrocytes (most proteins associated with cartilage were down-regulated in primed chondrocytes) and a partial differentiation of SDSCs (some collagen-related proteins were up-regulated in primed SDSCs). However, when chondrocytes and SDSCs were grown in pellet culture, growth factor-primed cells maintained their chondrogenic potential with respect to glycosaminoglycan and collagen production. In conclusion, the strength of the label-free proteomics technique is that it allows for the determination of changes in components of the extracellular matrix proteome in chondrocytes and SDSCs in response to growth factor priming, which could help in future tissue engineering strategies.

Measuring in situ primary and competitive DNA hybridization activity on microspheres

Microspheres serve as convenient substrates for studying DNA activity on surfaces. Here, in addition to employing conventional sample preparation involving multiple wash and resuspension steps prior to flow cytometry measurements, we also directly sampled the reaction volume to acquire in situ measurements of primary and competitive hybridization events. Even in the absence of post hybridization wash steps, nonspecific binding events were negligible and thus allowed for direct, quantitative assessment of hybridization events as they occurred on colloidal surfaces. The in situ results indicate that primary duplex formation between immobilized probes and soluble targets on microsphere surfaces is less favorable than predicted by solution models. The kinetics of competitive displacement of primary hybridization partners by secondary targets measured in situ or post washing also deviate from expectations based on theoretical solution thermodynamics, but are consistent with predicted kinetic trends stemming from differences in either the toehold base length or branch migration.

Improving DNA capture on microarrays by integrated repeated denaturing

Hybridization of nucleic acids to microarrays is a crucial step for several biological and biomedical applications. However, the poor efficiency and resulting long incubation times are major drawbacks. In addition to diffusion limitation, back hybridization to complementary strands in solution is shown to be an important cause of the low efficiency. In this paper, repeated denaturing in an integrated device has been investigated in order to increase the efficiency of microarray hybridization. The sample solution is circulated from the microarray chamber over a denaturing zone and back in a closed loop. In addition to the improved binding rate due to flow, repeated denaturing significantly increases the total amount of molecules bound. Our results demonstrate that cyclic repeated denaturing improves the efficiency of hybridization by up to an order of magnitude over a broad range of concentrations studied (1 pM to 100 nM).

Real-time fluorescent image analysis of DNA spot hybridization kinetics to assess microarray spot heterogeneity

Current microarray assay technology predominately uses fluorescence as a detectable signal end point. This study assessed real-time in situ surface hybridization capture kinetics for single printed DNA microspots on solid array surfaces using fluorescence. The influence of the DNA target and probe cyanine dye position on oligo-DNA duplex formation behavior was compared in solution versus surface-hybridized single DNA printed spots using fluorescence resonance energy transfer (FRET) analysis. Fluorophore Cy3/Cy5 fluorescence intensities were analyzed both through the printed hybridized DNA spot thickness and radially across single-spot surfaces. Confocal single-spot imaging shows that real-time in situ hybridization kinetics with constant target concentrations changes as a function of the printed probe density. Target-specific imaging in single spots exhibits a heterogeneous printed probe radial density that influences hybridization spatially and temporally via radial hemispherical diffusion of dye-labeled target from the outside edge of the spot to the interior. FRET of the surface-captured target occurs irrespective of the probe/target fluorophore position, resulting from excess printed probe density and spot thickness. Both heterogeneous probe density distributions in printed spots and the fluorophore position on short DNA oligomers influence duplex formation kinetics, hybridization efficiencies, and overall fluorescence intensity end points in surface-capture formats. This analysis is important to understanding, controlling, and quantifying the array assay signal essential to reliable application of the surface-capture format.

Real time quantitative amplification detection on a microarray: towards high multiplex quantitative PCR

Quantitative real-time polymerase chain reaction (qrtPCR) is widely used as a research and diagnostic tool. Notwithstanding its many powerful features, the method is limited in the degree of multiplexing to about 6 due to spectral overlap of the available fluorophores. A new method is presented that allows quantitative amplification detection at higher multiplexing by the integration of amplification in solution and monitoring via hybridization to a microarray in real-time. This method does not require any manipulation of the PCR product and runs in a single closed chamber. Employing labeled primers, one of the main challenges is to measure surface signals against a high fluorescence background from solution. A compact, confocal scanner is employed, based on miniaturized optics from DVD technology and combined with a flat thermocycler for simultaneous scanning and heating. The feasibility of this method is demonstrated in singleplex with an analytical sensitivity comparable to routine qrtPCR.

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 kinetics between immobilized double-stranded DNA probes and targets containing embedded recognition segments

We have investigated the time-dependent strand displacement activity of several targets with double-stranded DNA probes (dsProbes) of varying affinity. Here, the relative affinity of various dsProbes is altered through choices in hybridization length (11-15 bases) and the selective inclusion of center mismatches in the duplexes. While the dsProbes are immobilized on microspheres, the soluble, 15 base-long complementary sequence is presented either alone as a short target strand or as a recognition segment embedded within a longer target strand. Compared to the short target, strand displacement activity of the longer targets is slower, but still successful. Additionally, the longer targets exhibit modest differences in the observed displacement rates, depending on the location of recognition segment within the long target. Overall, our study demonstrates that the kinetics of strand displacement activity can be tuned through dsProbe sequence design parameters and is only modestly affected by the location of the complementary segment within a longer target strand.

Label-free protein profiling of adipose-derived human stem cells under hyperosmotic treatment

Our previous work suggested that treatment of cells with hyperosmotic media during 2D passaging primes cells for cartilage tissue engineering applications. Here, we used label-free proteomic profiling to evaluate the effects of control and hyperosmotic treatment environments on the phenotype of multipotent adipose-derived stem cells (ASCs) cultivated with a chondrogenic growth factor cocktail. Spectra were recorded in a data-independent fashion at alternate low (precursor) and high (product) fragmentation voltages (MS(E)). This method was supplemented with data mining of accurate mass and retention time matches in precursor ion spectra across the experiment. The results indicated a complex cellular response to osmotic treatment, with a number of proteins differentially expressed between control and treated cell groups. The roles of some of these proteins have been documented in the literature as characteristic of the physiological states studied, especially aldose reductase (osmotic stress). This protein acted as a positive control in this work, providing independent corroborative validation. Other proteins, including 5'-nucleotidase and transgelin, have been previously linked to cell differentiation state. This study demonstrates that label-free profiling can serve as a useful tool in characterizing cellular responses to chondrogenic treatment regimes, recommending its use in optimization of cell priming protocols for cartilage tissue engineering.

The dietary compounds resveratrol and genistein induce activating transcription factor 3 while suppressing inhibitor of DNA binding/differentiation-1

Various chemopreventive compounds alter gene expression, possibly explaining their biological activity. One gene induced by a variety of chemopreventive compounds is the one coding for the transcription factor activating transcription factor 3 (ATF3). In this study, we performed microarray analysis on mRNA isolated from human colorectal cancer cells overexpressing ATF3 to ascertain the biological activity of this gene in cancer. As a result, 64 genes were induced or repressed. One gene identified by microarray analysis as repressed by overexpression of ATF3 was inhibitor of DNA binding/differentiation-1 (Id1). Id1 is important to cell growth and proliferation and therefore may represent an important downstream target of ATF3 responsible for the biological activity of ATF3. Id1 interacts with ATF3, thereby sequestering its activity, making it an ideal candidate for further study. The induction of ATF3 and repression of Id1 in these cells were confirmed at the mRNA and protein levels by semiquantitative real-time reverse transcription-polymerase chain reaction and western blot analysis, respectively. To determine if the repression of Id1 seen following microarray analysis of these cells occurred following treatment with dietary compounds with known chemotherapeutic activity, human colorectal cancer cells were treated with resveratrol and genistein, and their expression was determined. As a result, ATF3 was induced, and Id1 was repressed, by these compounds and by sulindac sulfide, a positive control, at the mRNA and protein level. Further work is needed to determine the molecular mechanism(s) responsible for the regulation of Id1 and to determine if biological activity of ATF3 overexpression is mediated by repression of Id1 by these compounds.

The utility of functional gene arrays for assessing community composition, relative abundance, and distribution of ammonia-oxidizing bacteria and archaea

Ammonia-oxidizing bacteria (AOB) and archaea (AOA) transform ammonium to nitrite, an essential step in the complete mineralization of organic matter, leading to the accumulation of nitrate in oxic environments. The diversity and community composition of both groups have been extensively explored by sequence analysis of both 16S rRNA and amoA (encoding the critical enzyme, ammonia monooxygenase subunit A) genes. In this chapter, the power of the amoA gene as a phylogenetic marker for both AOB and AOA is extended to the development and application of DNA microarrays. Functional gene microarrays provide high throughput, relatively high resolution data on community composition and relative abundance, which is especially useful for comparisons among environments, and between samples in time and space, targeting the microbial group that is responsible for a biogeochemical transformation of interest, such as nitrification. In this chapter, the basic approaches to the design of probes to represent the target groups AOB and AOA are described, and the protocols for preparing hybridization targets from environmental samples are provided. Factors that influence the hybridization results and determine the sensitivity and specificity of the assays are discussed. A few examples of recent applications of amoA microarrays to explore temporal and spatial patterns in AOB and AOA community composition in estuaries and the ocean are presented. Array data are lower resolution than sequencing, but much higher throughput, thus allowing robust statistics and reproducibility that are not possible with large clone libraries. For specific functional groups, arrays provide more direct information in a more economical format than is possible with next generation sequencing.

Validation and characterization of DNA microarray gene expression data distribution and associated moments

Background

The data from DNA microarrays are increasingly being used in order to understand effects of different conditions, exposures or diseases on the modulation of the expression of various genes in a biological system. This knowledge is then further used in order to generate molecular mechanistic hypotheses for an organism when it is exposed to different conditions. Several different methods have been proposed to analyze these data under different distributional assumptions on gene expression. However, the empirical validation of these assumptions is lacking.

Results

Best fit hypotheses tests, moment-ratio diagrams and relationships between the different moments of the distribution of the gene expression was used to characterize the observed distributions. The data are obtained from the publicly available gene expression database, Gene Expression Omnibus (GEO) to characterize the empirical distributions of gene expressions obtained under varying experimental situations each of which providing relatively large number of samples for hypothesis testing. All data were obtained from either of two microarray platforms - the commercial Affymetrix mouse 430.2 platform and a non-commercial Rosetta/Merck one. The data from each platform were preprocessed in the same manner.

Conclusions

The null hypotheses for goodness of fit for all considered univariate theoretical probability distributions (including the Normal distribution) are rejected for more than 50% of probe sets on the Affymetrix microarray platform at a 95% confidence level, suggesting that under the tested conditions a priori assumption of any of these distributions across all probe sets is not valid. The pattern of null hypotheses rejection was different for the data from Rosetta/Merck platform with only around 20% of the probe sets failing the logistic distribution goodness-of-fit test. We find that there are statistically significant (at 95% confidence level based on the F-test for the fitted linear model) relationships between the mean and the logarithm of the coefficient of variation of the distributions of the logarithm of gene expressions. An additional novel statistically significant quadratic relationship between the skewness and kurtosis is identified. Data from both microarray platforms fail to identify with any one of the chosen theoretical probability distributions from an analysis of the l-moment ratio diagram.

Sizing up the future of microRNA analysis

In less than 20 years, our appreciation for micro-RNA molecules (miRNAs) has grown from an original, curious observation in worms to their current status as incredibly important global regulators of gene expression that play key roles in many transformative biological processes. As our understanding of these small, non-coding transcripts continues to evolve, new approaches for their analysis are emerging. In this critical review we describe recent improvements to classical methods of detection as well as innovative new technologies that are poised to help shape the future landscape of miRNA analysis.

Detection of DNA mutations using a capacitive micro-membrane array

The detection of DNA hybridization using capacitive readout and a biosensor array of ultrathin Si membranes is presented. The biosensor exploits the ability of the ultrathin membranes to deflect upon surface stress variations caused by biological interactions. Probe DNA molecules are immobilized on the membrane surface and the surface stress variations during hybridization with their complementary strands force the membrane to deflect and effectively change the capacitance between the flexible membrane and the fixed substrate. The sensor array comprises 256 such sensing sites thus allowing the concurrent sensing of multiple DNA mutations. The biosensor and its performance for the detection of complementary DNA strands are demonstrated using beta-thalassemia oligonucleotides. The experimental results show that the presented sensors are able to detect DNA hybridization and to discriminate single nucleotide mismatches.

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

Background

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

Results

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

Conclusions

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

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

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

Real-time DNA microarray analysis

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

Application of ESTs in microarray analysis

Microarray analyses provide information on the relative expression levels of large numbers of gene products (transcripts). As such they have been widely used to examine differences in gene expression across a variety of samples such as tissues and life-cycle stages. Due to a previous lack of sequence data, microarray analyses have typically centred on the study of well-characterised model organisms. However, the recent availability of large sets of expressed sequence tags (ESTs) generated for the purpose of gene discovery offers the opportunity to consider designing and applying microarray technology to a larger and more diverse set of species. Here we outline the array-design process involving the generation of an optimised set of oligoprobes from a minimally redundant but maximally representative list of sequences from raw EST data. We illustrate these principles by showing how we designed and fabricated a high-density oligoarray for the rainbow trout, a non-model species for which large numbers of ESTs, and a non-redundant assembly is available. This approach brings array technology within the reach of all investigators, even those with limited budgets.

Expression of AS3MT alters transcriptional profiles in human urothelial cells exposed to arsenite

Inorganic arsenic (iAs) is an environmental toxicant and human carcinogen. The enzymatic methylation of iAs that is catalyzed by arsenic (+3 oxidation state)-methyltransferase (AS3MT) generates reactive methylated intermediates that contribute to the toxic and carcinogenic effects of iAs. We have shown that clonal human urothelial cells (UROtsa/F35) that express rat AS3MT and methylate iAs are more susceptible to acute toxicity of arsenite (iAs(III)) than parental UROtsa cells that do not express AS3MT and do not methylate iAs. The current work examines transcriptional changes associated with AS3MT expression and identifies specific categories of genes expressed in UROtsa and UROtsa/F35 cells in response to a 24-h exposure to 1 or 50 microM iAs(III). Here, the expression of 21,073 genes was assessed using Agilent Human 1A(V2) arrays. Venn analysis showed marked concentration-dependent differences between gene expression patterns in UROtsa and UROTsa/F35 cells exposed to iAs(III). Among 134 genes altered by exposure to subtoxic 1 microM iAs(III), only 14 were shared by both cell lines. Exposure to cytotoxic 50 microM iAs(III) uniquely altered 1389 genes in UROtsa/F35 and 649 genes in UROtsa cells; 5033 altered genes were associated with the chemical alone. In UROtsa, but not UROtsa/F35 cells exposure to 1 microM iAs(III) altered expression of genes associated with cell adhesion. In contrast, expression of genes involved in cell cycle regulation was significantly altered in UROtsa/F35 cells at this exposure level. At 50 microM iAs(III), pathways regulating cell cycle, cell death, transcription, and metabolism were affected in both cell lines. However, only Urotsa/F35 cells showed numerous G-protein and kinase pathway alterations as well as alterations in pathways involved in cell growth and differentiation. These data link the AS3MT-catalyzed methylation of iAs to specific genomic responses in human cells exposed to iAs(III). Further analysis of these responses will help to characterize the role of AS3MT-catalyzed methylation in modulation of iAs(III) toxicity.

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.

Immobilization chemistries

Among the parameters which influence the success of a microarray experiment, the attachment of the nucleic acid captures to the support surface plays a decisive role.This article attempts to review the main concepts and ideas of the multiple variants which exist in terms of the immobilization chemistries used in nucleic acid microarray technology. Starting from the attachment of unmodified nucleic acids to modified glass slides by adsorption, further strategies for the coupling of nucleic acid capture molecules to a variety of support materials are surveyed with a focus on the reactive groups involved in the respective process.After a brief introduction, an overview is given about microarray substrates with special emphasis on the approaches used for the activation of these - usually chemically inert - materials. In the next sections strategies for the "undefined" and "defined" immobilization of captures on the substrates are described. While the latter approach tries to accomplish the coupling via a defined reactive moiety of the molecule to be immobilized, the former mentioned techniques involve multiply occurring reactive groups in the capture.The article finishes with an example for microarray manufacture, the production of aminopropyltriethoxysilane (APTES) functionalized glass substrates to which PDITC homobifunctional linker molecules are coupled; on their part providing reactive functional groups for the covalent immobilization of pre-synthesized, amino-modified oligonucleotides.This survey does not seek to be comprehensive rather it tries to present and provide key examples for the basic techniques, and to enable orientation if more detailed studies are needed. This review should not be considered as a guide to how to use the different chemistries described, but instead as a presentation of various principles and approaches applied in the still evolving field of nucleic acid microarray technology.

CrossHybDetector: detection of cross-hybridization events in DNA microarray experiments

BACKGROUND

DNA microarrays contain thousands of different probe sequences represented on their surface. These are designed in such a way that potential cross-hybridization reactions with non-target sequences are minimized. However, given the large number of probes, the occurrence of cross hybridization events cannot be excluded. This problem can dramatically affect the data quality and cause false positive/false negative results.

RESULTS

CrossHybDetector is a software package aimed at the identification of cross-hybridization events occurred during individual array hybridization, by using the probe sequences and the array intensity values. As output, the software provides the user with a list of array spots potentially 'corrupted' and their associated p-values calculated by Monte Carlo simulations. Graphical plots are also generated, which provide a visual and global overview of the quality of the microarray experiment with respect to cross-hybridization issues.

CONCLUSION

CrossHybDetector is implemented as a package for the statistical computing environment R and is freely available under the LGPL license within the CRAN project.

Real-time, multiplexed electrochemical DNA detection using an active complementary metal-oxide-semiconductor biosensor array with integrated sensor electronics

Optical biosensing based on fluorescence detection has arguably become the standard technique for quantifying extents of hybridization between surface-immobilized probes and fluorophore-labeled analyte targets in DNA microarrays. However, electrochemical detection techniques are emerging which could eliminate the need for physically bulky optical instrumentation, enabling the design of portable devices for point-of-care applications. Unlike fluorescence detection, which can function well using a passive substrate (one without integrated electronics), multiplexed electrochemical detection requires an electronically active substrate to analyze each array site and benefits from the addition of integrated electronic instrumentation to further reduce platform size and eliminate the electromagnetic interference that can result from bringing non-amplified signals off chip. We report on an active electrochemical biosensor array, constructed with a standard complementary metal-oxide-semiconductor (CMOS) technology, to perform quantitative DNA hybridization detection on chip using targets conjugated with ferrocene redox labels. A 4 x 4 array of gold working electrodes and integrated potentiostat electronics, consisting of control amplifiers and current-input analog-to-digital converters, on a custom-designed 5 mm x 3 mm CMOS chip drive redox reactions using cyclic voltammetry, sense DNA binding, and transmit digital data off chip for analysis. We demonstrate multiplexed and specific detection of DNA targets as well as real-time monitoring of hybridization, a task that is difficult, if not impossible, with traditional fluorescence-based microarrays.

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.

Quantitative rRNA-targeted solution-based hybridization assay using peptide nucleic acid molecular beacons

The potential of a solution-based hybridization assay using peptide nucleic acid (PNA) molecular beacon (MB) probes to quantify 16S rRNA of specific populations in RNA extracts of environmental samples was evaluated by designing PNA MB probes for the genera Dechloromonas and Dechlorosoma. In a kinetic study with 16S rRNA from pure cultures, the hybridization of PNA MB to target 16S rRNA exhibited a higher final hybridization signal and a lower apparent rate constant than the hybridizations to nontarget 16S rRNAs. A concentration of 10 mM NaCl in the hybridization buffer was found to be optimal for maximizing the difference between final hybridization signals from target and nontarget 16S rRNAs. Hybridization temperatures and formamide concentrations in hybridization buffers were optimized to minimize signals from hybridizations of PNA MB to nontarget 16S rRNAs. The detection limit of the PNA MB hybridization assay was determined to be 1.6 nM of 16S rRNA. To establish proof for the application of PNA MB hybridization assays in complex systems, target 16S rRNA from Dechlorosoma suillum was spiked at different levels to RNA isolated from an environmental (bioreactor) sample, and the PNA MB assay enabled effective quantification of the D. suillum RNA in this complex mixture. For another environmental sample, the quantitative results from the PNA MB hybridization assay were compared with those from clone libraries.

Strong position-dependent effects of sequence mismatches on signal ratios measured using long oligonucleotide microarrays

Background

Microarrays are an important and widely used tool. Applications include capturing genomic DNA for high-throughput sequencing in addition to the traditional monitoring of gene expression and identifying DNA copy number variations. Sequence mismatches between probe and target strands are known to affect the stability of the probe-target duplex, and hence the strength of the observed signals from microarrays.

Results

We describe a large-scale investigation of microarray hybridisations to murine probes with known sequence mismatches, demonstrating that the effect of mismatches is strongly position-dependent and for small numbers of sequence mismatches is correlated with the maximum length of perfectly matched probe-target duplex. Length of perfect match explained 43% of the variance in log₂ signal ratios between probes with one and two mismatches. The correlation with maximum length of perfect match does not conform to expectations based on considering the effect of mismatches purely in terms of reducing the binding energy. However, it can be explained qualitatively by considering the entropic contribution to duplex stability from configurations of differing perfect match length.

Conclusion

The results of this study have implications in terms of array design and analysis. They highlight the significant effect that short sequence mismatches can have upon microarray hybridisation intensities even for long oligonucleotide probes.

All microarray data presented in this study are available from the GEO database [1], under accession number [GEO: GSE9669]

Towards a target label-free suboptimum oligonucleotide displacement-based detection system

A novel method for the future development of label-free DNA sensors is proposed here. The approach is based on the displacement of a labelled suboptimum mutated oligonucleotide hybridised with the immobilised biotin-capture probe. The target fully complementary to the biotin-capture probe can displace the labelled oligonucleotide causing a subsequent decrease of the signal that verifies the presence of the target. The decrease of signal was demonstrated to be proportional to the target concentration. A study of the hybridisation of mutated and complementary labelled oligonucleotides with an immobilised biotin-capture probe was carried out. Different kinetic and thermodynamic behaviour was observed for heterogeneous hybridisation of biotin-capture probe with complementary or suboptimum oligonucleotides. The displacement method evaluated colourimetrically achieved the objective of decreasing the response time from 1 h for direct hybridisation of 19-mer oligonucleotides in the direct enzyme-linked oligonucleotide assay (ELONA) to 5 min in the case of displacement detection in the micromolar concentration range.

Validation of oligoarrays for quantitative exploration of the transcriptome

BACKGROUND

Oligoarrays have become an accessible technique for exploring the transcriptome, but it is presently unclear how absolute transcript data from this technique compare to the data achieved with tag-based quantitative techniques, such as massively parallel signature sequencing (MPSS) and serial analysis of gene expression (SAGE). By use of the TransCount method we calculated absolute transcript concentrations from spotted oligoarray intensities, enabling direct comparisons with tag counts obtained with MPSS and SAGE. The tag counts were converted to number of transcripts per cell by assuming that the sum of all transcripts in a single cell was 5.105. Our aim was to investigate whether the less resource demanding and more widespread oligoarray technique could provide data that were correlated to and had the same absolute scale as those obtained with MPSS and SAGE.

RESULTS

A number of 1,777 unique transcripts were detected in common for the three technologies and served as the basis for our analyses. The correlations involving the oligoarray data were not weaker than, but, similar to the correlation between the MPSS and SAGE data, both when the entire concentration range was considered and at high concentrations. The data sets were more strongly correlated at high transcript concentrations than at low concentrations. On an absolute scale, the number of transcripts per cell and gene was generally higher based on oligoarrays than on MPSS and SAGE, and ranged from 1.6 to 9,705 for the 1,777 overlapping genes. The MPSS data were on same scale as the SAGE data, ranging from 0.5 to 3,180 (MPSS) and 9 to1,268 (SAGE) transcripts per cell and gene. The sum of all transcripts per cell for these genes was 3.8.105 (oligoarrays), 1.1.105 (MPSS) and 7.6.104 (SAGE), whereas the corresponding sum for all detected transcripts was 1.1.106 (oligoarrays), 2.8.105 (MPSS) and 3.8.105 (SAGE).

CONCLUSION

The oligoarrays and TransCount provide quantitative transcript concentrations that are correlated to MPSS and SAGE data, but, the absolute scale of the measurements differs across the technologies. The discrepancy questions whether the sum of all transcripts within a single cell might be higher than the number of 5.105 suggested in the literature and used to convert tag counts to transcripts per cell. If so, this may explain the apparent higher transcript detection efficiency of the oligoarrays, and has to be clarified before absolute transcript concentrations can be interchanged across the technologies. The ability to obtain transcript concentrations from oligoarrays opens up the possibility of efficient generation of universal transcript databases with low resource demands.

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

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

Mismatch formation in solution and on DNA microarrays: how modified nucleosides can overcome shortcomings of imperfect hybridization caused by oligonucleotide composition and base pairing

The DNA microarray technology is a well-established and widely used technology although it has several drawbacks. The accurate molecular recognition of the canonical nucleobases of probe and target is the basis for reliable results obtained from microarray hybridization experiments. However, the great flexibility of base pairs within the DNA molecule allows the formation of various secondary structures incorporating Watson-Crick base pairs as well as non-canonical base pair motifs, thus becoming a source of inaccuracy and inconsistence. The first part of this report provides an overview of unusual base pair motifs formed during molecular DNA interaction in solution highlighting selected secondary structures employing non-Watson-Crick base pairs. The same mispairing phenomena obtained in solution are expected to occur for immobilized probe molecules as well as for target oligonucleotides employed in microarray hybridization experiments the effect of base pairing and oligonucleotide composition on hybridization is considered. The incorporation of nucleoside derivatives as close shape mimics of the four canonical nucleosides into the probe and target oligonucleotides is discussed as a chemical tool to resolve unwanted mispairing. The second part focuses non-Watson-Crick base pairing during hybridization performed on microarrays. This is exemplified for the unusual stable dG.dA base pair.