Development of miniaturized immunoassay: Influence of surface chemistry and comparison with enzyme-linked immunosorbent assay and Western blot

Protein microarray technology provides a useful approach for the simultaneous serodetection of various antibodies in low sample volumes. To implement functional protein microarrays, appropriate surface chemistry must be designed so that both the protein structure and the biological activity can be retained. In the current study, two surface chemistries for protein microarrays and immunofluorescent assays were developed. Glass slides were functionalized with N-hydroxysuccinimide (NHS) ester via a monofunctional silane or maleic anhydride-alt-methyl vinyl ether (MAMVE) copolymer to allow covalent grafting of histone proteins. Analytical performance of these microarrays was then evaluated for the detection of anti-histone autoantibodies present in the sera of patients suffering from a systemic autoimmune disease, namely systemic lupus erythematosus (SLE), and the results were compared with those of the classical enzyme-linked immunosorbent assay (ELISA) and Western blot. The detection limit of our MAMVE copolymer microarrays was 50-fold lower than that of the classical ELISA. Furthermore, 100-fold less volume of biological samples was required with these miniaturized immunoassays.     

Microarrays of peptides elevated on the protein layer for efficient protein kinase assay

Peptide microarrays can be used for the high-throughput analysis of protein-peptide interactions. However, current peptide microarrays are rather costly to make and require cumbersome steps of introducing novel polymeric surfaces and/or chemical derivatization of peptides. Here, we report a novel method for manufacturing peptide microarrays by elevating the peptide on the layer of protein by a fusion protein approach. Using two protein kinases and their peptide substrates as examples, we show that elevating peptides on the layer of protein allows sensitive, specific, and efficient detection of peptide-protein interactions without the need for complicated chemical modification of solid supports and peptides. It was found that kinase activity could be detected with as low as 0.09 fmol of kemptide, which is about 1000-fold more sensitive than the 0.1 pmol obtained with other microarray systems. Furthermore, peptides can be produced as fusion proteins by fermentation of recombinant Escherichia coli and thus the expensive peptide synthesis process can be avoided. Therefore, this new strategy will not only be useful in high-throughput and cost-effective screening of kinase substrate peptides but also be generally applicable in studying various protein-peptide interactions.     

Protein micro- and macroarrays: digitizing the proteome

The early applications of microarrays and detection technologies have been centered on DNA-based applications. The application of array technologies to proteomics is now occurring at a rapid rate. Numerous researchers have begun to develop technologies for the creation of microarrays of protein-based screening tools. The stability of antibody molecules when bound to surfaces has made antibody arrays a starting point for proteomic microarray technology. To minimize disadvantages due to size and availability, some researchers have instead opted for antibody fragments, antibody mimics or phage display technology to create libraries for protein chips. Even further removed from antibodies are libraries of aptamers, which are single-stranded oligonucleotides that express high affinity for protein molecules. A variation on the theme of protein chips arrayed with antibody mimics or other protein capture ligand is that of affinity MS where the protein chips are directly placed in a mass spectrometer for detection. Other approaches include the creation of intact protein microarrays directly on glass slides or chips. Although many of the proteins may likely be denatured, successful screening has been demonstrated. The investigation of protein-protein interactions has formed the basis of a technique called yeast two-hybrid. In this method, yeast "bait" proteins can be probed with other yeast "prey" proteins fused to DNA binding domains. Although the current interpretation of protein arrays emphasizes microarray grids of proteins or ligands on glass slides or chips, 2-D gels are technically macroarrays of authentic proteins. In an innovative departure from the traditional concept of protein chips, some researchers are implementing microfluidic printing of arrayed chemistries on individual protein spots blotted onto membranes. Other researchers are using in-jet printing technology to create protein microarrays on chips. The rapid growth of proteomics and the active climate for new technology is driving a new generation of companies and academic efforts that are developing novel protein microarray techniques for the future.     

FAST slides: a novel surface for microarrays

We have evaluated FAST slides, a glass slide with a microporous polymeric surface that is a suitable substrate for microarray technology. The surface is a nitrocellulose-based polymer that binds DNA and proteins in a noncovalent but irreversible manner. FAST slides are compatible with robotic systems currently used to create microarrays and can easily accommodate volumes of 0.03-2 nL/spot. Our data indicate that FAST slides have a much higher binding capacity for DNA and better spot-to-spot consistency than traditional poly-lysine-coated slides. In addition, FAST slides are well suited for fluorescent detection because of their relatively low light scatter and efficient retention of arrayed DNA. These properties translate into fluorescent sensitivity comparable to modified glass surfaces. FAST slides are also ideal for arraying proteins, making them the only substrate of their kind currently available for microarray applications.     

Antibody microarray-based profiling of complex specimens: systematic evaluation of labeling strategies

Antibody microarrays have often had limited success in detection of low abundant proteins in complex specimens. Signal amplification systems improve this situation, but still are quite laborious and expensive. However, the issue of sensitivity is more likely a matter of kinetically appropriate microarray design as demonstrated previously. Hence, we re-examined in this study the suitability of simple and inexpensive detection approaches for highly sensitive antibody microarray analysis. N-hydroxysuccinimidyl ester (NHS)- and Universal Linkage System (ULS)-based fluorescein and biotin labels used as tags for subsequent detection with anti-fluorescein and extravidin, respectively, as well as fluorescent dyes were applied for analysis of blood plasma. Parameters modifying strongly the performance of microarray detection such as labeling conditions, incubation time, concentrations of anti-fluorescein and extravidin and extent of protein labeling were analyzed and optimized in this study. Indirect detection strategies whether based on NHS- or ULS-chemistries strongly outperformed direct fluorescent labeling and enabled detection of low abundant cytokines with many dozen-fold signal-to-noise ratios. Finally, particularly sensitive detection chemistry was applied to monitoring cytokine production of stimulated peripheral T cells. Microarray data were in accord with quantitative cytokine levels measured by ELISA and Luminex, demonstrating comparable reliability and femtomolar range sensitivity of the established microarray approach.     

Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites

MOTIVATION: Identifying the location of ligand binding sites on a protein is of fundamental importance for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. Here, we describe a new method of ligand binding site prediction called Q-SiteFinder. It uses the interaction energy between the protein and a simple van der Waals probe to locate energetically favourable binding sites. Energetically favourable probe sites are clustered according to their spatial proximity and clusters are then ranked according to the sum of interaction energies for sites within each cluster. RESULTS: There is at least one successful prediction in the top three predicted sites in 90% of proteins tested when using Q-SiteFinder. This success rate is higher than that of a commonly used pocket detection algorithm (Pocket-Finder) which uses geometric criteria. Additionally, Q-SiteFinder is twice as effective as Pocket-Finder in generating predicted sites that map accurately onto ligand coordinates. It also generates predicted sites with the lowest average volumes of the methods examined in this study. Unlike pocket detection, the volumes of the predicted sites appear to show relatively low dependence on protein volume and are similar in volume to the ligands they contain. Restricting the size of the pocket is important for reducing the search space required for docking and de novo drug design or site comparison. The method can be applied in structural genomics studies where protein binding sites remain uncharacterized since the 86% success rate for unbound proteins appears to be only slightly lower than that of ligand-bound proteins. AVAILABILITY: Both Q-SiteFinder and Pocket-Finder have been made available online at http://www.bioinformatics.leeds.ac.uk/qsitefinder and http://www.bioinformatics.leeds.ac.uk/pocketfinder     

Protein microarrays and novel detection platforms

The field of proteomics has undergone rapid advancements over the last decade and protein microarrays have emerged as a promising technological platform for the challenging task of studying complex proteomes. This gel-free approach has found an increasing number of applications due to its ability to rapidly and efficiently study thousands of proteins simultaneously. Different protein microarrays, including capture arrays, reverse-phase arrays, tissue microarrays, lectin microarrays and cell-free expression microarrays, have emerged, which have demonstrated numerous applications for proteomics studies including biomarker discovery, protein interaction studies, enzyme-substrate profiling, immunological profiling and vaccine development, among many others. The need to detect extremely low-abundance proteins in complex mixtures has provided motivation for the development of sensitive, real-time and multiplexed detection platforms. Conventional label-based approaches like fluorescence, chemiluminescence and use of radioactive isotopes have witnessed substantial advancements, with techniques like quantum dots, gold nanoparticles, dye-doped nanoparticles and several bead-based methods now being employed for protein microarray studies. In order to overcome the limitations posed by label-based technologies, several label-free approaches like surface plasmon resonance, carbon nanotubes and nanowires, and microcantilevers, among others, have also advanced in recent years, and these methods detect the query molecule itself. The scope of this article is to outline the protein microarray techniques that are currently being used for analytical and function-based proteomics and to provide a detailed analysis of the key technological advances and applications of various detection systems that are commonly used with microarrays.     

Quantitative serum proteomics from surface plasmon resonance imaging

The detection and quantification of specific proteins in complex mixtures is a major challenge for proteomics. For example, the development of disease-related biomarker panels will require fast and efficient methods for obtaining multiparameter protein profiles. We established a high throughput, label-free method for analyzing serum using surface plasmon resonance imaging of antibody microarrays. Microarrays were fabricated using standard pin spotting on bare gold substrates, and samples were applied for binding analysis using a camera-based surface plasmon resonance system. We validated the system by measuring the concentrations of four serum proteins using part of a 792-feature microarray. Transferrin concentrations were measured to be 2.1 mg/ml in human serum and 1.2 mg/ml in murine serum, which closely matched ELISA determinations of 2.6 and 1.2 mg/ml, respectively. In agreement with expected values, human and mouse albumin levels were measured to be 24.3 and 23.6 mg/ml, respectively. The lower limits of detection for the four measurements ranged from 14 to 58 ng/ml or 175 to 755 pm. Where purified target proteins are not available for calibration, the microarrays can be used for relative protein quantification. We used the antibody microarray to compare the serum protein profiles from three liver cancer patients and three non-liver cancer patients. Hierarchical clustering of the serum protein levels clearly distinguished two distinct profiles. Thirty-nine significant protein changes were detected (p < 0.05), 10 of which have been observed previously in serum. alpha-Fetoprotein, a known liver cancer marker, was observed to increase. These results demonstrate the feasibility of this high throughput approach for both absolute and relative protein expression profiling.     

Probe droplet arrays generated in the capillary for microarray analysis

Microarray technology is a useful tool for nucleic acid detection and has been widely used in biology and related research fields. However, the procedure is labor intensive and time consuming. Microfluidic chip-based microarrays save time with better performance, but the low spot density and probe number limit its applications. To develop high performance microarrays with high spot density within a microchannel, a method is reported here for preparing microarrays in a capillary by generating probe droplet arrays. The probes in droplets are immobilized onto the inner wall of the capillary to form a one-dimensional probe array, and then a sample solution is introduced to hybridize with the probe array. The effect of the capillary's inner diameter was evaluated to realize a high-density probe array. The processes of array generation and probe immobilization were studied to avoid possible cross contamination. The background from probe immobilization during the array generation and incubation was quantified to assure sensitivity. Multiple sample detection was also demonstrated within one capillary. The capillary based microarray assay had high spot density, easy fabrication, fast detection, high sensitivity and multiple sample capacity.     

Microarray-based kinetic colorimetric detection for quantitative multiplex protein phosphorylation analysis

Commonly used colorimetric detection applied to protein microarrays with enzymatic signal amplification leads to non‐linear signal production upon increase in analyte concentration, thereby considerably limiting the range and accuracy of quantitative readout interpretation. To extend the detection range, we developed a kinetic colorimetric detection protocol for the analysis of ELISA microarrays designed to measure multiple phosphorylated proteins using the platforms ArrayTube? and ArrayStrip?. With our novel quantification approach, microarrays were calibrated over a broad concentration range spanning four orders of magnitude of analyte concentration with picomolar threshold. We used this design for the simultaneous quantitative measurement of 15 phosphorylated proteins on a single chip.     

Diagnostic and analytical applications of protein microarrays

DNA microarrays have changed the field of biomedical sciences over the past 10 years. For several reasons, antibody and other protein microarrays have not developed at the same rate. However, protein and antibody arrays have emerged as a powerful tool to complement DNA microarrays during the past 5 years. A genome-scale protein microarray has been demonstrated for identifying protein–protein interactions as well as for rapid identification of protein binding to a particular drug. Furthermore, protein microarrays have been shown as an efficient tool in cancer profiling, detection of bacteria and toxins, identification of allergen reactivity and autoantibodies. They have also demonstrated the ability to measure the absolute concentration of small molecules. Besides their capacity for parallel diagnostics, microarrays can be more sensitive than traditional methods such as enzyme-linked immunosorbent assay, mass spectrometry or high-performance liquid chromatography-based assays. However, for protein and antibody arrays to be successfully introduced into diagnostics, the biochemistry of immunomicroarrays must be better characterized and simplified, they must be validated in a clinical setting and be amenable to automation or integrated into easy-to-use systems, such as micrototal analysis systems or point-of-care devices.     

Measuring and analyzing tissue specificity of human genes and protein complexes

Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue occurrence is important for understanding biological processes. Therefore, we analyzed microarray and high-throughput RNA-sequencing data to identify tissue-specific and universally expressed genes. Gene expression data were used to investigate the presence of proteins, protein interactions and protein complexes in different tissues. Our comparison shows that the detection of tissue-specific genes and proteins strongly depends on the applied measurement technique. We found that microarrays are less sensitive for low expressed genes than high-throughput sequencing. Functional analyses based on microarray data are thus biased towards high expressed genes. This also means that previous biological findings based on microarrays might have to be re-examined using high-throughput sequencing results.     

Creating highly dense and uniform protein and DNA microarrays through photolithography and plasma modification of glass substrates

We demonstrate a method to create high density protein microarrays with excellent spot uniformity using photolithography and plasma processing on low cost commercially available microscope glass slides. Protein deposition and fluorescence signal evaluation on these substrates are performed by standard arrayers and scanners. To this end, spots of commercial photoresists (AZ5214, SU8 and Ormocomp(?)) were defined through lithography on glass substrates followed by short SF(6) plasma treatment and selective protein adsorption on these spots with respect to glass (spot to background fluorescence signal ratios 30:1 to 40:1) was demonstrated using model protein binding assays. Among the photoresists tested, Ormocomp was selected since it provided the highest protein binding capacity. No ageing of Ormocomp/glass substrates in terms of protein binding capacity was observed for at least two months. Besides to protein microarrays, DNA microarrays were also developed by spotting streptavidin-biotinylated oligonucleotide conjugates corresponding to wild- and mutant-type sequences of four deleterious BRCA1 gene mutations. For all of the examined mutations, higher specific hybridization signals (1.5-4 times) and improved discrimination ratios between wild- and mutant-type sequences as well as higher spot uniformity and repeatability were demonstrated on Ormocomp/glass substrates with intra- and inter-spot CVs of 8.0% and 4.5%, respectively, compared to commercial polystyrene (intra- and inter-spot CVs 36% and 18%) and epoxy-coated glass (intra- and inter-spot CVs 26% and 20%) slides. Thus, the proposed substrates can be readily applied to protein and DNA microarrays fabrication and, moreover, the described method for selective protein adsorption can be advantageously implemented in various analytical microdevices for multi-analyte detection.     

Readout of protein microarrays using intrinsic time resolved UV fluorescence for label-free detection

Detecting protein-protein interactions other than those of antibody-antigen pairs still represents a demanding and tedious task. In the present work, a novel method as an alternative to current molecular biology-based detection procedures is established. It solely relies on the change of fluorescence decay times of the protein's intrinsic fluorophores tryptophan and tyrosine due to protein-protein interaction. Unlike previously utilized related methods, no labelling of the binding partners is required. This opens the possibility to detect proteins and their natural interactions without perturbation due to chemical alteration. The technique uses immobilization of one of the protein partners onto solid supports, which allows performance of protein binding studies in the microarray format. Fluorescence lifetime experiments of proteins in their different binding states have been applied to protease/protease-substrate pairs, as well as to the tubulin/kinesin system. Different binding behavior of proteins in solution towards protein partners immobilized on protein microarrays was detected with regard to binding specificity and protein amount. This label-free method for analyzing protein microarrays offers broad applicability ranging from principal investigations of protein interactions to applications in molecular biology and medicine.     

Ca2+ binding by Myxicola neurofilament proteins

Titrimetric, 45Ca dialysis, and autoradiographic methods were used to examine how axoplasmic proteins from the giant neuron of the marine annelid Myxicola infundibulum bind calcium. Following the autoradiographic method of Maruyama et al., the 150-160 kD neurofilament subunits were identified as prominent intracellular Ca-binding peptides. Using equilibrium dialysis, extracts of axoplasmic proteins (greater than 50% neurofilament subunits) were examined in 300 mM KCl at different concentrations of free Ca and Mg, and at different pH. Axoplasmic proteins showed a high affinity Ca binding site (K1/2 3-6 microM, capacity 3-7 mumole g-1 protein) at pH 6.8 or pH 7.5. Changing the Mg concentration from 0 to 5 mM had no effect on the Ca binding. Elevating the dialysis pH from 7.0 to 9.0 reduced the apparent number of binding sites for Ca. Using microelectrodes to record the free Ca, microtitrations of axoplasmic proteins were completed by adding small amounts of CaCl2 to 100 microliters volumes of protein solutions. In a medium containing ionic constituents closely resembling those of the Myxicola axon, a Ca binding capacity of 5.0 mumole g-1 protein and a K1/2 of approximately 1 microM were measured.     

利用糖芯片技术检测氨基糖苷类抗生素与RNAs和蛋白质之间的相互作用

氨基糖苷类抗生素是一类广谱型抗细菌感染药物,其不断增加的细菌耐药性很大程度上限制了它的临床应用,研究和开发新型氨基糖苷类抗生素具有重要意义。将氨基糖苷类抗生素固定到玻璃片基上,制成糖芯片,再分别与荧光标记的RNAs和蛋白质杂交,通过分析杂交后的荧光信号强度检测它们之间的相互作用。结果显示,氨基糖苷类抗生素芯片可以特异性地与r RNA的A位点模拟物、I型核酶和蛋白酶结合。因此糖芯片技术不仅可以检测氨基糖苷类抗生素与r RNAs的特异性结合,而且可以应用于寻找新型RNA结合配体的研究,为快速鉴定和筛选可紧密结合RNA靶标且毒性较低的新型氨基糖苷类抗生素奠定了一定的基础。     

pGSTag--a versatile bacterial expression plasmid for enzymatic labeling of recombinant proteins.

We report on the construction of a plasmid, pGSTag, that directs the expression in E. coli of a glutathione S-transferase fusion protein that contains a high affinity phosphorylation site by protein kinase-A (PK-A). The fusion protein, following purification from crude bacterial lysates by substrate affinity chromatography, can be labeled in vitro to high specific activity with purified PK-A and 32P-gamma-ATP. Because labeling takes place while the fusion protein is immobilized on a solid support, the unincorporated label and enzyme can be washed away. Using the leucine-zipper domains of cAMP response element binding (CREB) proteins and CCAAT/enhancer binding protein (C/EBP)-like proteins as a model system, we show that the labeled protein, after elution from the affinity resin, can be used as a probe to detect interacting (dimerizing) species in a nitrocellulose-based ligand blot assay. The utility of this system for the creation of labeled protein probes is discussed.     

Microarrays based on affinity-tagged single-chain Fv antibodies: sensitive detection of analyte in complex proteomes

Protein-based microarrays are among the novel class of rapidly emerging proteomic technologies that will allow us to efficiently perform global proteome analysis. However, the process of designing adequate protein microarrays is a major inherent problem. In this study, we have evaluated a protein microarray platform based on nonpurified affinity-tagged single-chain (sc) Fv antibody fragments to generate proof-of-principle and to demonstrate the specificity and sensitivity of the array design. To this end, we used our human recombinant scFv antibody library genetically constructed around one framework, the n-CoDeR library containing 2 x 10(10) clones, as a source for our probes. The probes were immobilized via engineered C-terminal affinity tags, his- or myc-tags, to either Ni(2+)-coated slides or anti-tag antibody coated substrates. The results showed that highly functional microarrays were generated and that nonpurified scFvs readily could be applied as probes. Specific and sensitive microarrays were obtained, providing a limit of detection in the pM to fM range, using fluorescence as the mode of detection. Further, the results showed that spotting the analyte on top of the arrayed probes, instead of incubating the array with large sample volumes (333 pL vs. 40 microL), could reduce the amount of analyte required 4000 times, from 1200 attomole to 300 zeptomole. Finally, we showed that a highly complex proteome, such as human sera containing several thousand different proteins, could be directly fluorescently labeled and successfully analyzed without compromising the specificity and sensitivity of the antibody microarrays. This is a prerequisite for the design of high-density antibody arrays applied in high-throughput proteomics.