Microarray based Raman spectroscopic detection with gold nanoparticle probes

A microarray approach based on surface-enhanced Raman spectroscopic (SERS) was developed for detection of spotted peptide, peptide-protein or protein-antibody interaction. The procedure involves the attachment of peptide-capped gold nanoparticles followed by silver deposition for signal enhancement. The attachment of the gold nanoparticles is achieved by standard avidin-biotin chemistry. The well-known biomolecular recognition pairs, IgG/protein A and biotin/avidin, were used to demonstrate proof-of-concept of the SERS assay. Detection limits of 10 and 100 fg per microarray spot were obtained respectively for the peptide and protein arrays. For the protein in solution, a limit of 0.1 microg/mL is reported. Furthermore, enzyme activity of the kinase (PKA) is also detected with high specificity for an established peptide substrate (kemptide) on the microarray spots.     

A comparison of microscope slide substrates for use in transfected cell microarrays

Transfected cell microarrays, arrays of mammalian cells expressing defined genes, offer enormous potential for the development of high-throughput cell-based detection technologies to monitor the presence of biological agents or environmental toxicants. The signals generated from these arrays are intimately linked to the efficiency of DNA uptake by the cells located on the micrometer-sized spots. However, quantitative analysis of the transfection efficiency on cellular microarrays has been limited. Further, little regard has been given to the role of the substrate in influencing the transfection efficiency of mammalian cells on transfected microarrays. In this report, we have quantified the transfection efficiency of mammalian cells on different microscope slide substrates. Using commercially available microscope slides bearing substrates that mediate cellular attachment (polystyrene, 3-aminopropylsilane, and poly-L-lysine), we have demonstrated the role of substrate hydrophobicity in determining the resulting spot size and the local DNA concentration when plasmid DNA is dispensed in a printing buffer containing gelatin and sucrose using a noncontact microarray printer. The mean spot diameter varied inversely with the substrate water contact angle (r2 = 0.970). Further, the relative local plasmid DNA concentration was a function of the mean spot diameter. The deposition of Rhodamine Red-labeled plasmid DNA revealed that, across all substrates, the average fluorescence signal within the spots varied inversely with the mean spot diameter (r2 = 0.976). The transfection efficiency of HEK 293T/17 cells varied in accord with the mean spot diameter, demonstrating that the uptake of DNA was a function of the local DNA concentration on each substrate.     

Effect of urea on the partial reactions and crystallization pattern of sarcoplasmic reticulum adenosine triphosphatase

Steady-state ATPase activity, calcium binding, formation of phosphorylated enzyme intermediate with ATP in the presence of Ca2+, or with Pi in the absence of Ca2+, and association of ATPase molecules into bidimensional crystals, were studied using vesicular fragments of sarcoplasmic reticulum. The vesicles were exposed to increasing concentrations of urea in order to produce stepwise perturbations of protein structure and to test the effect of such perturbations on the partial reactions and crystallization pattern of sarcoplasmic reticulum ATPase. It was found that low concentrations of urea produce specific inhibition of Pi binding and enzyme phosphorylation with Pi (but not with ATP). Intermediate concentrations of urea reduce calcium binding affinity and cooperativity, while the ability of the enzyme to be phosphorylated with ATP and to form dimeric arrays is retained. These observations demonstrate that the sarcoplasmic reticulum ATPase is sensitive to physical perturbations producing specific and reversible changes in the Pi and calcium binding domains. These changes interfere with enzyme turnover, indicating that conformational effects related to binding and dissociation of Pi and calcium are tightly coupled to catalysis and energy transduction. Higher concentrations of urea produce irreversible denaturation, accompanied by total inhibition of calcium binding, enzyme phosphorylation with ATP, and association of ATPase chains in bidimensional crystals. Under these conditions, protein unfolding is manifested by a sharp reduction in the fluorescence of intrinsic tryptophan residues and of a covalently bound probe. These observations suggest that dimeric association and a tendency to form bidimensional crystals correspond to a basic property of the enzyme, which is linked to its native structure and whose character may change in the presence of ligands and/or during the catalytic cycle. On the other hand, the decavanadate-induced crystallization pattern cannot be interpreted in terms of a mechanistic relationship of ATPase dimerization with one of the intermediate states of the catalytic cycle.     

Analysis of repeatability in spotted cDNA microarrays

We report a strategy for analysis of data quality in cDNA microarrays based on the repeatability of repeatedly spotted clones. We describe how repeatability can be used to control data quality by developing adaptive filtering criteria for microarray data containing clones spotted in multiple spots. We have applied the method on five publicly available cDNA microarray data sets and one previously unpublished data set from our own laboratory. The results demonstrate the feasibility of the approach as a foundation for data filtering, and indicate a high degree of variation in data quality, both across the data sets and between arrays within data sets.     

Bio-microarray fabrication techniques--a review

Microarrays with biomolecules (e.g., DNA and proteins), cells, and tissues immobilized on solid substrates are important tools for biological research, including genomics, proteomics, and cell analysis. In this paper, the current state of microarray fabrication is reviewed. According to spot formation techniques, methods are categorized as "contact printing" and "non-contact printing." Contact printing is a widely used technology, comprising methods such as contact pin printing and microstamping. These methods have many advantages, including reproducibility of printed spots and facile maintenance, as well as drawbacks, including low-throughput fabrication of arrays. Non-contact printing techniques are newer and more varied, comprising photochemistry-based methods, laser writing, electrospray deposition, and inkjet technologies. These technologies emerged from other applications and have the potential to increase microarray fabrication throughput; however, there are several challenges in applying them to microarray fabrication, including interference from satellite drops and biomolecule denaturization.     

Transcriptional signatures of normal human mammary epithelial cells in response to benzo[a]pyrene exposure: a comparison of three microarray platforms

Microarrays are used to study gene expression in a variety of biological systems. A number of different platforms have been developed, but few studies exist that have directly compared the performance of one platform with another. The goal of this study was to determine array variation by analyzing the same RNA samples with three different array platforms. Using gene expression responses to benzo[a]pyrene exposure in normal human mammary epithelial cells (NHMECs), we compared the results of gene expression profiling using three microarray platforms: photolithographic oligonucleotide arrays (Affymetrix), spotted oligonucleotide arrays (Amersham), and spotted cDNA arrays (NCI). While most previous reports comparing microarrays have analyzed pre-existing data from different platforms, this comparison study used the same sample assayed on all three platforms, allowing for analysis of variation from each array platform. In general, poor correlation was found with corresponding measurements from each platform. Each platform yielded different gene expression profiles, suggesting that while microarray analysis is a useful discovery tool, further validation is needed to extrapolate results for broad use of the data. Also, microarray variability needs to be taken into consideration, not only in the data analysis but also in specific probe selection for each array type.     

Cooperativity of paired oligonucleotide probes for microarray hybridization assays

Synthetic DNA probes attached to microarrays usually range in length from 25 to 70 nucleotides. There is a compromise between short probes with lower sensitivity, which can be accurately synthesized in higher yields, and long probes with greater sensitivity but lower synthesis yields. Described here are microarrays printed with spots containing a mixture of two short probes, each designed to hybridize at noncontiguous sites in the same targeted sequence. We have shown that, for a printed microarray, mixed probe spots containing a pair of 30mers show significantly greater hybridization than spots containing a single 30mer and can approach the amount of hybridization to spots containing a 60mer or a 70mer. These spots with mixed oligonucleotide probes display cooperative hybridization signals greater than those that can be achieved by either probe alone. Both the higher synthesis yields of short probes and the greater sensitivity of long oligonucleotides can be utilized. This strategy provides new design options for microarray hybridization assays to detect RNA abundance, RNA splice variants, or sequence polymorphisms.     

Baggasse Preservation: A Need for a Biotechnological Approach

ABSTRACT

Microarrays with biomolecules (e.g., DNA and proteins), cells, and tissues immobilized on solid substrates are important tools for biological research, including genomics, proteomics, and cell analysis. In this paper, the current state of microarray fabrication is reviewed. According to spot formation techniques, methods are categorized as “contact printing” and “non-contact printing.” Contact printing is a widely used technology, comprising methods such as contact pin printing and microstamping. These methods have many advantages, including reproducibility of printed spots and facile maintenance, as well as drawbacks, including low-throughput fabrication of arrays. Non-contact printing techniques are newer and more varied, comprising photochemistry-based methods, laser writing, electrospray deposition, and inkjet technologies. These technologies emerged from other applications and have the potential to increase microarray fabrication throughput; however, there are several challenges in applying them to microarray fabrication, including interference from satellite drops and biomolecule denaturization.     

A hill-climbing approach for automatic gridding of cDNA microarray images

Image and statistical analysis are two important stages of cDNA microarrays. Of these, gridding is necessary to accurately identify the location of each spot while extracting spot intensities from the microarray images and automating this procedure permits high-throughput analysis. Due to the deficiencies of the equipment used to print the arrays, rotations, misalignments, high contamination with noise and artifacts, and the enormous amount of data generated, solving the gridding problem by means of an automatic system is not trivial. Existing techniques to solve the automatic grid segmentation problem cover only limited aspects of this challenging problem and require the user to specify the size of the spots, the number of rows and columns in the grid, and boundary conditions. In this paper, a hill-climbing automatic gridding and spot quantification technique is proposed which takes a microarray image (or a subgrid) as input and makes no assumptions about the size of the spots, rows, and columns in the grid. The proposed method is based on a hill-climbing approach that utilizes different objective functions. The method has been found to effectively detect the grids on microarray images drawn from databases from GEO and the Stanford genomic laboratories.     

Urine patterns in mice: An analysis of male/female counter-marking

Counter-marking in mice, Mus musculus was investigated by analysing urine deposition on filter paper marked asymmetrically with urine of the opposite sex. Intact males deposited large numbers of urine spots with a marked angular bias towards previously marked quadrants. More spots were deposited on proestrous and ovariectomized donor urine patterns, their distribution being more centrifugal on oestrous urine and more centripetal in quadrants containing a large female urine spot in a central position. In contrast, castrated male mice deposited very few spots with no angular bias. Female urine patterns showed angular bias in response to intact, but not castrated male donor urine, a larger number of spots being produced by oestrous females. Thus the pattern of deposition offers scope for two-way communication of information about reproductive potential.     

Better genechip microarray layouts by combining probe placement and embedding

The microarray layout problem is a generalization of the border length minimization problem, and asks to distribute oligonucleotide probes on a microarray and to determine their embeddings in the deposition sequence in such a way that the overall quality of the resulting synthesized probes is maximized. Because of its inherent computational complexity, it is traditionally attacked in several phases: partitioning, placement, and re-embedding. We present the first algorithm, Greedy+, that combines placement and embedding and that results in improved layouts in terms of border length and conflict index (a more realistic measure of probe quality), both on arrays of random probes and on existing Affymetrix GeneChip arrays. We also present a detailed study on the layouts of the latest GeneChip arrays, and show how Greedy+ can further improve layout quality by as much as 12% in terms of border length and 35% in terms of conflict index.     

Granulometric analysis of spots in DNA microarray images

As the topological properties of each spot in DNA microarray images may vary from one another, we employed granulometries to understand the shape-size content contributed due to a significant intensity value within a spot. Analysis was performed on the microarray image that consisted of 240 spots by using concepts from mathematical morphology. In order to find out indices for each spot and to further classify them, we adopted morphological multiscale openings, which provided microarrays at multiple scales. Successive opened microarrays were subtracted to identify the protrusions that were smaller than the size of structuring element. Spot-wise details, in terms of probability of these observed protrusions,were computed by placing a regularly spaced grid on microarray such that each spot was centered in each grid. Based on the probability of size distribution functions of these protrusions isolated at each level, we estimated the mean size and texture index for each spot. With these characteristics, we classified the spots in a microarray image into bright and dull categories through pattern spectrum and shape-size complexity measures. These segregated spots can be compared with those of hybridization levels.     

Carbohydrate microarrays

Sugar chains are abundantly expressed on the outer surfaces of the vast majority of viral, bacterial, protozoan and fungal pathogens, as well as on the membranes of mammalian cells. This class of carbohydrate molecule is without peer in structural diversity and is characteristically suitable for storing and displaying biological signals for molecular and cellular recognition. Exploring the biological information contained in sugar chains is an important topic of current postgenomic research. To facilitate these investigations, we have focused on the establishment of a carbohydrate-based microarray technology. Recently, we reported that a large panel of carbohydrate-containing macromolecules, including polysaccharides, natural glycoconjugates, and the mono- and oligosaccharides coupled to carrier molecules, can be stably immobilized on a microglass slide to produce a large-scale carbohydrate microarray. In this review, we attempt to summarize our recent progress in using this technology to uncover the carbohydrate-based biological signals that are recognized by the human and animal immune systems. We also discuss the potential of various platforms of carbohydrate microarrays that were recently established and analyze the challenges to future development of carbohydrate microarray technologies and their applications.     

Improving protein array performance: focus on washing and storage conditions

For protein microarrays, maintaining protein stability during the slide processing steps of washing, drying, and storage is of major concern. Although several studies have focused on the stability of immobilized antibodies in antibody microarrays, studies on protein-protein interaction arrays and enzyme arrays are lacking. In this paper we used five bait-prey protein interaction pairs and three enzymes to optimize the washing, drying, and storage conditions for protein arrays. The protein arrays for the study were fabricated by combining HaloTag technology and cell-free protein expression. The HaloTag technology, in combination with cell-free expression, allowed rapid expression and immobilization of fusion proteins on hydrogel-coated glass slides directly from cell extracts without any prior purification. Experimental results indicate enzyme captured on glass slides undergoes significant loss of activity when washed and spin-dried using only phosphate buffer, as is typically done with antibody arrays. The impact of washing and spin-drying in phosphate buffer on protein-protein interaction arrays was minimal. However, addition of 5% glycerol to the wash buffer helps retain enzyme activity during washing and drying. We observed significant loss of enzyme activity when slides were stored dry at 4 degrees C, however immobilized enzymes remained active for 30 days when stored at -20 degrees C in 50% glycerol. We also found that cell-free extract containing HaloTag-fused enzymes could undergo multiple freeze/thaw cycles without any adverse impact on enzyme activity. The findings indicate that for large ongoing studies, proteins of interest expressed in cell-free extract can be stored at -70 degrees C and repeatedly used to print small batches of protein array slides to be used over a few weeks.     

MOF： An R Function to Detect Outlier Microarray

We developed an R function named ＂microarray outlier filter＂ （MOF） to assist in the identification of faUed arrays. In sorting a group of similar arrays by the likelihood of failure, two statistical indices were employed： the correlation coefficient and the percentage of outlier spots. MOF can be used to monitor the quality of microarray data for both trouble shooting, and to eliminate bad datasets from downstream analysis. The function is freely avaliable at http：//www.wriwindber.org/ applications/mof/.     

Automatable production of shippable bilayer chips by pin tool deposition for an ion channel measurement platform

As a step towards an automated and operator-free ion channel measurement platform we have previously demonstrated a solution formulation for artificial lipid bilayers that enabled the indefinite storage and shipping of frozen bilayer precursors. In this work, the solutions were deposited by hand. Here, we have adapted pin tools to deposit the bilayer precursor solutions onto multi-element arrays, a popular method for microarray solution deposition. The pin tools have enabled the deposited volume to be applied highly repeatably and controllably, resulting in reduction of bilayer formation times to <1 h. The pin tools are also compatible with computerized motion control platforms, enabling automated and high throughput production. We discuss these results and the prospects of this technology to produce high density bilayer arrays for high throughput measurement of ion channels incorporated into artificial bilayers.     

Normalization of cDNA microarray data

Normalization means to adjust microarray data for effects which arise from variation in the technology rather than from biological differences between the RNA samples or between the printed probes. This paper describes normalization methods based on the fact that dye balance typically varies with spot intensity and with spatial position on the array. Print-tip loess normalization provides a well-tested general purpose normalization method which has given good results on a wide range of arrays. The method may be refined by using quality weights for individual spots. The method is best combined with diagnostic plots of the data which display the spatial and intensity trends. When diagnostic plots show that biases still remain in the data after normalization, further normalization steps such as plate-order normalization or scale-normalization between the arrays may be undertaken. Composite normalization may be used when control spots are available which are known to be not differentially expressed. Variations on loess normalization include global loess normalization and two-dimensional normalization. Detailed commands are given to implement the normalization techniques using freely available software.