A prototype antibody microarray platform to monitor changes in protein tyrosine phosphorylation

Reversible protein phosphorylation is a key regulatory process in all living cells. Deregulation of modification control mechanisms, especially in the case of tyrosine, may lead to malignant transformation and disease. Phosphotyrosine (p-Tyr) accounts for only 0.05% of the total cellular phospho-amino acid content, yet plays an unusually prominent role in eukaryotic signaling, development, and growth. Tracking temporal and positional p-Tyr changes across the cellular proteome, i.e. tyrosine phosphoproteomics, is therefore tremendously valuable. Here, we describe and evaluate a prototype antibody (Ab) microarray platform to monitor changes in protein Tyr phosphorylation. Availability permitting, a virtually unlimited number of Abs, each recognizing a specific cellular protein, may be arrayed on a chip, incubated with total cell or tissue extracts or with biological fluids, and then probed with a fluorescently labeled p-Tyr-specific monoclonal Ab, PY-KD1, specifically generated for this assay as part of the current study. The optimized protocol allowed detection of changes in the Tyr phosphorylation state of selected proteins using submicrogram to low nanogram of total protein extract, amounts that may conceivably be obtained from a thousand to a hundred thousand cells, or less, depending on the cell or tissue type. The assay platform was evaluated by assessing changes in a rationally selected subset of the Tyr phosphoproteome of Bcr-Abl-expressing cells treated with a specific inhibitor, Gleevec, and of epidermal growth factor (EGF)-treated HeLa cells. The results, ratiometric rather than strictly quantitative in nature, conformed with previous identifications of several Bcr-Abl and EGF receptor targets, and associated proteins, as detected by exhaustive mass spectrometric analyses. The Ab microarray method described here offers advantages of low sample and reagent consumption, scalability, detection multiplexing, and potential compatibility with microfluidic devices and automation. The system may hold particular promise for dissecting signaling pathways, molecular classification of tumors, and profiling of novel target-cancer drugs.     

Single framework recombinant antibody fragments designed for protein chip applications

High-throughput proteomics, based on the microarray platform, requires stable, highly functional components that will yield a highly sensitive read-out of low abundance proteins. Although antibodies are the best characterized binding molecules for this purpose, only a fraction of them appear to behave satisfactorily in the chip format. Therefore, high demands need to be placed on their molecular design. In the present study, we have focused on recombinant antibody design based on a single framework for protein chip applications, aiming at defining crucial molecular probe parameters. Our results show that engineered human recombinant scFv antibody fragments that displayed appropriate biophysical properties (molecular [functional] stability in particular) can be generated, making them prime candidates for high-density antibody arrays. In fact, a superior framework that displays both multifaceted adsorption properties and very high functional stability over several months on chips (stored in a dried-out state) was identified. Taken together, designed scFv fragments based on a single molecular scaffold, readily accessible in large phage display libraries, can undoubtedly meet the requirements of probe content in antibody microarrays, particularly for global proteome analysis.     

A secreted protein microarray platform for extracellular protein interaction discovery

Characterization of the extracellular protein interactome has lagged far behind that of intracellular proteins, where mass spectrometry and yeast two-hybrid technologies have excelled. Improved methods for identifying receptor-ligand and extracellular matrix protein interactions will greatly accelerate biological discovery in cell signaling and cellular communication. These technologies must be able to identify low-affinity binding events that are often observed between membrane-bound coreceptor molecules during cell-cell or cell-extracellular matrix contact. Here we demonstrate that functional protein microarrays are particularly well-suited for high-throughput screening of extracellular protein interactions. To evaluate the performance of the platform, we screened a set of 89 immunoglobulin (Ig)-type receptors against a highly diverse extracellular protein microarray with 686 genes represented. To enhance detection of low-affinity interactions, we developed a rapid method to assemble bait Fc fusion proteins into multivalent complexes using protein A microbeads. Based on these screens, we developed a statistical methodology for hit calling and identification of nonspecific interactions on protein microarrays. We found that the Ig receptor interactions identified using our methodology are highly specific and display minimal off-target binding, resulting in a 70% true-positive to false-positive hit ratio. We anticipate that these methods will be useful for a wide variety of functional protein microarray users.     

A protein microarray prepared with phage-displayed antibody clones

Using a large phage antibody library, a protein microarray spotted directly with phage-displayed antibody clones was created to discriminate between recognition profiles of samples from healthy donors and leukemia patients. The protocol for preparing antibody-displaying phage chips was presented. Some conditions such as substrates and blocking buffers were compared and optimized. The major improvements of this microarray are higher throughput and lower cost compared to previous antibody chips. Due to its convenience and sensitivity, it can be extensively used for rapid and high throughput detection of protein profiles of experimental and clinical samples.     

Double chip protein arrays using recombinant single-chain Fv antibody fragments

Protein arrays permit the parallel analysis of many different markers in a small sample volume. However, the problem of cross-reactivity limits the degree of multiplexing in parallel sandwich immunoassays (using monoclonal antibodies (mAbs)), meaning antibodies must be prescreened in order to reduce false positives. In contrast, we use a second chip surface for the local application of detection antibodies, thereby efficiently eliminating antibody cross-reactions. Here, we illustrate the potential advantages of using single-chain Fv fragments rather than mAbs as capture and detection molecules with this double chip technology.     

A dual-tag microarray platform for high-performance nucleic acid and protein analyses

DNA microarrays serve to monitor a wide range of molecular events, but emerging applications like measurements of weakly expressed genes or of proteins and their interaction patterns will require enhanced performance to improve specificity of detection and dynamic range. To further extend the utility of DNA microarray-based approaches we present a high-performance tag microarray procedure that enables probe-based analysis of as little as 100 target cDNA molecules, and with a linear dynamic range close to 10⁵. Furthermore, the protocol radically decreases the risk of cross-hybridization on microarrays compared to current approaches, and it also allows for quantification by single-molecule analysis and real-time on-chip monitoring of rolling-circle amplification. We provide proof of concept for microarray-based measurement of both mRNA molecules and of proteins, converted to tag DNA sequences by padlock and proximity probe ligation, respectively.     

cDNA microarray technology and its applications

The cDNA microarray is the most powerful tool for studying gene expression in many different organisms. It has been successfully applied to the simultaneous expression of many thousands of genes and to large-scale gene discovery, as well as polymorphism screening and mapping of genomic DNA clones. It is a high throughput, highly parallel RNA expression assay technique that permits quantitative analysis of RNAs transcribed from both known and unknown genes. This technique provides diagnostic fingerprints by comparing gene expression patterns in normal and pathological cells, and because it can simultaneously track expression levels of many genes, it provides a source of operational context for inference and predication about complex cell control systems. This review describes this recently developed cDNA microarray technology and its application to gene discovery and expression, and to diagnostics for certain diseases.     

Prediction of antibody response using recombinant human protein fragments as antigen

A great need exists for prediction of antibody response for the generation of antibodies toward protein targets. Earlier studies have suggested that prediction methods based on hydrophilicity propensity scale, in which the degree of exposure of the amino acid in an aqueous solvent is calculated, has limited value. Here, we show a comparative analysis based on 12,634 affinity‐purified antibodies generated in a standardized manner against human recombinant protein fragments. The antibody response (yield) was measured and compared to theoretical predictions based on a large number (544) of published propensity scales. The results show that some of the scales have predictive power, although the overall Pearson correlation coefficient is relatively low (0.2) even for the best performing amino acid indices. Based on the current data set, a new propensity scale was calculated with a Pearson correlation coefficient of 0.25. The values correlated in some extent to earlier scales, including large penalty for hydrophobic and cysteine residues and high positive contribution from acidic residues, but with relatively low positive contribution from basic residues. The fraction of immunogens generating low antibody responses was reduced from 30% to around 10% if immunogens with a high propensity score (>0.48) were selected as compared to immunogens with lower scores (<0.29). The study demonstrates that a propensity scale might be useful for prediction of antibody response generated by immunization of recombinant protein fragments. The data set presented here can be used for further studies to design new prediction tools for the generation of antibodies to specific protein targets.     

A novel antibody microarray format using non-covalent antibody immobilization with chemiluminescent detection

To date, protein and antibody microarrays have been used in reverse-phase and sandwich-based methods in order to detect known proteins such as biomarkers in samples. Our group developed "libraries" of antibodies against unknown proteins, referred to as mKIAA proteins, and we attempted to discover candidate novel biomarkers by protein expression profiling.To profile mKIAA protein expression using these antibodies, we established an antibody microarray system using chemiluminescent detection. A number of techniques for protein-antibody microarrays have been reported; however, no entirely suitable protocol for crude protein samples has been established. To address this issue, we immobilized purified antibodies on hydrophilic surface polymer slides (Maxisorp, Nunc). Although our system is based on the direct labeling of crude protein samples, we achieved sufficient sensitivity (detection limit: 50 pg mL(-1)) and low backgrounds. This sensitivity is on a level with the sandwich immunoassay-based antibody array system. Using our protocol, we developed an antibody microarray spotted with 960 anti-mKIAA antibodies (total: 3888 spots for quadruplicate assessments), and we carried out protein expression profiling of mKIAA proteins. In this study, we generated an expression profile of 960 mKIAA proteins and compared the present results with those obtained via cDNA microarray.     

重组抗体工程及其在肿瘤靶向及癌症治疗中的应用

在过去的十几年中,重组抗体工程在基础研究、医学和药物生产上已经成为最有希望的领域之一。重组抗体及其片段在正在进行诊断和治疗的临床试验中占所有生物蛋白的30％以上。研究集中在抗体作为理想的癌症靶向试剂方面,最近由于FDA批准使用第一个工程化治疗抗体而使热度达到极点。过去的几年中,在设计、筛选及生产新型工程化抗体方面已经取得了重大进展。改革的筛选方法已经能够分离出高亲和力的癌－靶向及抗病毒的抗体,后能够抑制病毒用于基因治疗。癌症诊断和治疗的另一个策略是将重组抗体片段与放射性同位素、药物、毒素、酶以及生物传感器表面进行融合。双特异性抗体及相关融合蛋白也已经生产出来用于癌症的免疫治疗,在抗癌疫苗以及T细胞补充策略上有效地增强了人免疫应答。     

Particle flow assays for fluorescent protein microarray applications

Microarray technology has brought a paradigmatic change in bioanalytics. However, highly sensitive and accurate assays are still needed for a real breakthrough. We present a simple and generic approach for fluorescent signal amplification with fluorescent microparticle labels. The assay principle was demonstrated using a reverse array model consisting of spots of bovine serum albumin with a small fraction of the proteins biotinylated. Specific binding of streptavidin coated fluorescent microparticles to the spots was promoted by applying a controlled continuous microparticle flow. The surface bound beads were visualized and quantified with confocal microscopy images. Comparison with standard fluorescent and flow discrimination assays has revealed several advantages of our approach. First, non-specific particle binding could be reduced to less than 1 particle/spot making therefore the visualization of single biomolecular bonds possible. Second, the amplification scheme presented here is generic and can be applied to any fluorescent microarray. Furthermore, this assay makes use of a biotin-streptavidin linkage and can therefore be applied to all kind of assays. Finally, single fluorescent microbeads can be easily visualized with standard optical equipments, so that no high performance equipment is required.     

Properties,production, and applications of camelid single-domain antibody fragments

Camelids produce functional antibodies devoid of light chains of which the single N-terminal domain is fully capable of antigen binding. These single-domain antibody fragments (VHHs or Nanobodies) have several advantages for biotechnological applications. They are well expressed in microorganisms and have a high stability and solubility. Furthermore, they are well suited for construction of larger molecules and selection systems such as phage, yeast, or ribosome display. This minireview offers an overview of (1) their properties as compared to conventional antibodies, (2) their production in microorganisms, with a focus on yeasts, and (3) their therapeutic applications.     

Differential coexpression analysis using microarray data and its application to human cancer

MOTIVATION: Microarrays have been used to identify differential expression of individual genes or cluster genes that are coexpressed over various conditions. However, alteration in coexpression relationships has not been studied. Here we introduce a model for finding differential coexpression from microarrays and test its biological validity with respect to cancer. RESULTS: We collected 10 published gene expression datasets from cancers of 13 different tissues and constructed 2 distinct coexpression networks: a tumor network and normal network. Comparison of the two networks showed that cancer affected many coexpression relationships. Functional changes such as alteration in energy metabolism, promotion of cell growth and enhanced immune activity were accompanied with coexpression changes. Coregulation of collagen genes that may control invasion and metastatic spread of tumor cells was also found. Cluster analysis in the tumor network identified groups of highly interconnected genes related to ribosomal protein synthesis, the cell cycle and antigen presentation. Metallothionein expression was also found to be clustered, which may play a role in apoptosis control in tumor cells. Our results show that this model would serve as a novel method for analyzing microarrays beyond the specific implications for cancer.     

Gene structure-based splice variant deconvolution using a microarray platform

MOTIVATION: Alternative splicing allows a single gene to generate multiple mRNAs, which can be translated into functionally and structurally diverse proteins. One gene can have multiple variants coexisting at different concentrations. Estimating the relative abundance of each variant is important for the study of underlying biological function. Microarrays are standard tools that measure gene expression. But most design and analysis has not accounted for splice variants. Thus splice variant-specific chip designs and analysis algorithms are needed for accurate gene expression profiling. RESULTS: Inspired by Li and Wong (2001), we developed a gene structure-based algorithm to determine the relative abundance of known splice variants. Probe intensities are modeled across multiple experiments using gene structures as constraints. Model parameters are obtained through a maximum likelihood estimation (MLE) process/framework. The algorithm produces the relative concentration of each variant, as well as an affinity term associated with each probe. Validation of the algorithm is performed by a set of controlled spike experiments as well as endogenous tissue samples using a human splice variant array.     

Functional protein microarray: an ideal platform for investigating protein binding property

Functional protein microarray is an important tool for high-throughput and large-scale systems biology studies.Besides the progresses that have been made for protein microarray fabrication,significant ...     

Grating-coupled surface plasmon resonance: a cell and protein microarray platform

Grating-coupled surface plasmon resonance (GCSPR) is a method for the accurate assessment of analyte in a multiplexed format using small amounts of sample. In GCSPR, the analyte is flowed across specific receptors (e.g. antibodies or other proteins) that have been immobilized on a sensor chip. The chip surface is illuminated with p-polarized light that couples to the gold surface's electrons to form a surface plasmon. At a specific angle of incidence, the GCSPR angle, the maximum amount of coupling occurs, thus reducing the intensity of reflected light. Shifts in the GCSPR angle can be correlated with refractive index increases following analyte capture by chip-bound receptors. Because regions of the chip can be independently analyzed, this system can assess 400 interactions between analyte and receptor on a single chip. We have used this label-free system to assess a number of molecules of immunological interest. GCSPR can simultaneously detect an array of cytokines and other proteins using the same chip. Moreover, GCSPR is also compatible with assessments of antigen expression by intact cells, detecting cellular apoptosis and identifying T cells and B cells. This technology represents a powerful new approach to the analysis of cells and molecular constituents of biological samples.     

Sensitive detection of multiplex toxins using antibody microarray

Using a newly developed fluorescent nanoparticle (NP) that gives rise to a high-intensity and stable fluorescent light, a sensitive antibody (Ab) microarray assay system has been developed for specific detection of bioterrorism agents, as exemplified by ricin, cholera toxin (CT), and staphylococcal enterotoxin B (SEB). The Ab microarray uses a sandwich format that consists of capture Abs, analytes (toxins), biotinylated detection Abs, and avidin-conjugated NP. In all three cases, polyclonal Abs (pAbs) displayed superiority over monoclonal antibodies (mAbs) in capturing toxins on microarray slides even when the pAbs and mAbs had similar affinity as determined by enzyme-linked immunosorbent assay (ELISA). The detection system was successfully used to detect toxins spiked in milk, apple cider, and blood samples. We were able to detect ricin at 100 pg/ml in buffer and at 1 ng/ml in spiked apple cider or milk, whereas CT and SEB were detected at 10 pg/ml in buffer and 100 pg/ml in spiked apple cider or milk. High specificities were also demonstrated in the detection of mixed toxin samples with similar sensitivities. The matrix effect of blood samples on the detection of mixed toxins seems to be minimal when the toxin concentration is at or above 100 ng/ml. The current study highlights the significant role of pAb and NP in increasing selectivity and sensitivity of toxin detection in a microarray format.     

Specific labeling of protein domains with antibody fragments

Monovalent antibody Fab fragments, prepared from antisera raised against two different types of crystalline arrays made of either intact, or a proteolytic fragment of bacteriophage T4 major capsid protein, gp23*, were employed to stoichiometrically label different gp23* protein domains on the outer surface of a tubular variant (i.e., "polyheads") of bacteriophage T4 capsids. Computer filtrations of both negatively stained and freeze-dried/metal-shadowed specimens permitted approximate mapping of the Fab binding sites within the capsomere of the polyheads.     

Functional improvement of antibody fragments using a novel phage coat protein III fusion system

Functional expressions of proteins often depend on the presence of host specific factors. Frequently recombinant expression strategies of proteins in foreign hosts, such as bacteria, have been associated with poor yields or significant loss of functionality. Improvements in the performance of heterologous expression systems will benefit present-day quests in structural and functional genomics where high amounts of active protein are required. One example, which has been the subject of considerable interest, is recombinant antibodies or fragments thereof as expressions of these in bacteria constitute an easy and inexpensive method compared to hybridoma cultures. Such approaches have, however, often suffered from low yields and poor functionality. A general method is described here which enables expressions of functional antibody fragments when fused to the amino-terminal domain(s) of the filamentous phage coat protein III. Furthermore, it will be shown that the observed effect is neither due to improved stability nor increased avidity.