Proteome microarray technology and application: higher,wider, and deeper

ABSTRACT

Introduction: Protein microarray is a powerful tool for both biological study and clinical research. The most useful features of protein microarrays are their miniaturized size (low reagent and sample consumption), high sensitivity and their capability for parallel/high-throughput analysis. The major focus of this review is functional proteome microarray.

Areas covered: For proteome microarray, this review will discuss some recently constructed proteome microarrays and new concepts that have been used for constructing proteome microarrays and data interpretation in past few years, such as PAGES, M-NAPPA strategy, VirD technology, and the first protein microarray database. this review will summarize recent proteomic scale applications and address the limitations and future directions of proteome microarray technology.

Expert opinion: Proteome microarray is a powerful tool for basic biological and clinical research. It is expected to see improvements in the currently used proteome microarrays and the construction of more proteome microarrays for other species by using traditional strategies or novel concepts. It is anticipated that the maximum number of features on a single microarray and the number of possible applications will be increased, and the information that can be obtained from proteome microarray experiments will more in-depth in the future.     

自组装蛋白质芯片——功能蛋白质组学的新工具

传统的蛋白质芯片制备需要进行繁琐的蛋白质表达与纯化。同时,由于蛋白质活性不稳定,蛋白质芯片不宜长期保存。新一代自组装蛋白质芯片,利用无细胞表达体系和DNA固定技术,能够将蛋白质即时、原位表达并固定在芯片上,有效地解决了传统蛋白质芯片的制备和保存问题。目前自组装蛋白质芯片已初步用于大规模蛋白-蛋白质相互作用的筛选,以及鉴定免疫优势抗原等研究。该文介绍了近年自组装蛋白质芯片技术的进展和应用研究。     

Surface plasmon resonance imaging protein arrays for analysis of triple protein interactions of HPV, E6, E6AP, and p53

We have developed a surface plasmon resonance (SPR)-based protein microarray to study protein-protein interactions in a high-throughput mode. As a model system, triple protein interactions have been explored with human papillomaviral E6 protein, tumor suppressor p53, and ubiquitin ligase E6AP. Human papillomavirus (HPV) is known to be a causative agent of cervical cancer. Upon infection, the viral E6 protein forms a heterotrimeric protein complex with p53 and E6AP. The formation of the complex eventually results in the degradation of p53. In the present study, a GST-fused E6AP protein was layered onto a glutathione (GSH)-modified gold chip surface. The specific binding of GST-E6AP protein onto the gold chip surface was facilitated through the affinity of GST to its specific ligand GSH. The interacting proteins (E6 and/or p53) were then spotted. Detection of the interaction was performed using a SPR imaging (SPRI) technique. The resulting SPRI intensity data showed that the protein-protein interactions of E6AP, E6, and p53 were detected in a concentration-dependent manner, suggesting that the SPRI-based microarray system can be an effective tool to study protein-protein interactions where multiple proteins are involved.     

Advances in cell-free protein array methods

Introduction: Cell-free protein microarrays represent a special form of protein microarray which display proteins made fresh at the time of the experiment, avoiding storage and denaturation. They have been used increasingly in basic and translational research over the past decade to study protein-protein interactions, the pathogen-host relationship, post-translational modifications, and antibody biomarkers of different human diseases. Their role in the first blood-based diagnostic test for early stage breast cancer highlights their value in managing human health. Cell-free protein microarrays will continue to evolve to become widespread tools for research and clinical management.

Areas covered: We review the advantages and disadvantages of different cell-free protein arrays, with an emphasis on the methods that have been studied in the last five years. We also discuss the applications of each microarray method.

Expert commentary: Given the growing roles and impact of cell-free protein microarrays in research and medicine, we discuss: 1) the current technical and practical limitations of cell-free protein microarrays; 2) the biomarker discovery and verification pipeline using protein microarrays; and 3) how cell-free protein microarrays will advance over the next five years, both in their technology and applications.     

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.     

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.     

Interactome Mapping: Using Protein Microarray Technology to Reconstruct Diverse Protein Networks

A major focus of systems biology is to characterize interactions between cellular components, in order to develop an accurate picture of the intricate networks within biological systems. Over the past decade, protein microarrays have greatly contributed to advances in proteomics and are becoming an important platform for systems biology. Protein microarrays are highly flexible, ranging from large-scale proteome microarrays to smaller customizable microarrays, making the technology amenable for detection of a broad spectrum of biochemical properties of proteins. In this article, we will focus on the numerous studies that have utilized protein microarrays to reconstruct biological networks including protein-DNA interactions, posttranslational protein modifications (PTMs), lectin-glycan recognition, pathogen-host interactions and hierarchical signaling cascades. The diversity in applications allows for integration of interaction data from numerous molecular classes and cellular states, providing insight into the structure of complex biological systems. We will also discuss emerging applications and future directions of protein microarray technology in the global frontier.     

In vitro protein microarrays for detecting protein-protein interactions: application of a new method for fluorescence labeling of proteins

Protein microarrays or proteome chips are potentially powerful tools for comprehensive analysis of protein-protein interactions. In interaction analysis, a set of immobilized proteins is arrayed on slides and each slide is probed with a set of fluorescently labeled proteins. Here we have developed and tested an in vitro protein microarray, in which both arraying and probing proteins were prepared by cell-free translation. The in vitro synthesis of fluorescently labeled proteins was accomplished by a new method: a fluorophore-puromycin conjugate was incorporated into a protein at the C-terminus on the ribosome. The resulting fluorescently labeled proteins were confirmed to be useful for probing protein-protein interactions on protein microarrays in model experiments. Since the in vitro protein microarrays can easily be extended to a high-throughput format and also combined with in vitro display technologies such as the streptavidin-biotin linkage in emulsions method (Doi and Yanagawa, FEBS Lett. 1999, 457, 227-230), our method should be useful for large-scale analysis of protein-protein interactions.     

Development of a protein microarray using sequence-specific DNA binding domain on DNA chip surface

A protein microarray based on DNA microarray platform was developed to identify protein-protein interactions in vitro. The conventional DNA chip surface by 156-bp PCR product was prepared for a substrate of protein microarray. High-affinity sequence-specific DNA binding domain, GAL4 DNA binding domain, was introduced to the protein microarray as fusion partner of a target model protein, enhanced green fluorescent protein. The target protein was oriented immobilized directly on the DNA chip surface. Finally, monoclonal antibody of the target protein was used to identify the immobilized protein on the surface. This study shows that the conventional DNA chip can be used to make a protein microarray directly, and this novel protein microarray can be applicable as a tool for identifying protein-protein interactions.     

ProteoChip: a highly sensitive protein microarray prepared by a novel method of protein immobilization for application of protein-protein interaction studies

We have developed a highly sensitive microarray protein chip, ProteoChip, coated with ProLinker, novel calixcrown derivatives with a bifunctional coupling property that permits efficient immobilization of capture proteins on solid matrixes and makes high-throughput analysis of protein-protein interactions possible. The analysis of quartz crystal microbalance showed that both monoclonal antibody (mAb) and antigen (Ag) bound to the gold film of the sensor surface coated with ProLinker B and that it is useful for studies of Ab-Ag interactions. ProteoChip, aminated glass slide coated with ProLinker A, was also demonstrated to be useful for preparation of high-density array spots by using a microarrayer and for analysis of analyte Ags either by direct or sandwich methods of fluorescence immunoassay. The detection sensitivity of ProteoChip was as low as 1-10 femtogram/mL of analyte protein, useful for detection of tumor markers. ProteoChip was also useful for studies of direct protein-protein interactions as demonstrated by analysis of integrin-extracellular matrix protein interaction. These experimental results suggest that ProteoChip is a powerful tool for development of chip-based lead screening microarrays to monitor protein-protein interactions (i.e. drug target) as well as for biomarker assays which require high detection sensitivity.     

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.     

Differential binding studies applying functional protein microarrays and surface plasmon resonance

A variety of different in vivo and in vitro technologies provide comprehensive insights in protein-protein interaction networks. Here we demonstrate a novel approach to analyze, verify and quantify putative interactions between two members of the S100 protein family and 80 recombinant proteins derived from a proteome-wide protein expression library. Surface plasmon resonance (SPR) using Biacore technology and functional protein microarrays were used as two independent methods to study protein-protein interactions. With this combined approach we were able to detect nine calcium-dependent interactions between Arg-Gly-Ser-(RGS)-His6 tagged proteins derived from the library and GST-tagged S100B and S100A6, respectively. For the protein microarray affinity-purified proteins from the expression library were spotted onto modified glass slides and probed with the S100 proteins. SPR experiments were performed in the same setup and in a vice-versa approach reversing analytes and ligands to determine distinct association and dissociation patterns of each positive interaction. Besides already known interaction partners, several novel binders were found independently with both detection methods, albeit analogous immobilization strategies had to be applied in both assays.     

蛋白质芯片在蛋白质组学研究中的作用

蛋白质芯片是以高度并行性、高通量、微型化和自动化为特点的蛋白质组检测技术。本文综述了蛋白质芯片在蛋白质组学研究中的多种作用,包括普通蛋白质芯片在微量蛋白质分离、蛋白质与蛋白质之间以及蛋白质与其他小分子间相互作用和蛋白质定量检测方面的作用,普通蛋白质芯片通过与质谱技术、生物传感器技术的结合而拓展其应用范围,以及蛋白质组芯片、活性的蛋白质芯片在蛋白质组学研究中应用的进展。     

Advances in functional protein microarray technology

Numerous innovations in high-throughput protein production and microarray surface technologies have enabled the development of addressable formats for proteins ordered at high spatial density. Protein array implementations have largely focused on antibody arrays for high-throughput protein profiling. However, it is also possible to construct arrays of full-length, functional proteins from a library of expression clones. The advent of protein-based microarrays allows the global observation of biochemical activities on an unprecedented scale, where hundreds or thousands of proteins can be simultaneously screened for protein-protein, protein-nucleic acid, and small molecule interactions. This technology holds great potential for basic molecular biology research, disease marker identification, toxicological response profiling and pharmaceutical target screening.     

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.     

Zeptosens' protein microarrays: a novel high performance microarray platform for low abundance protein analysis

Protein microarrays are considered an enabling technology, which will significantly expand the scope of current protein expression and protein interaction analysis. Current technologies, such as two-dimensional gel electrophoresis (2-DE) in combination with mass spectrometry, allowing the identification of biologically relevant proteins, have a high resolving power, but also considerable limitations. As was demonstrated by Gygi et al. (Proc. Nat. Acad. Sci. USA 2000,97, 9390-9395), most spots in 2-DE, observed from whole cell extracts, are from high abundance proteins, whereas low abundance proteins, such as signaling molecules or kinases, are only poorly represented. Protein microarrays are expected to significantly expedite the discovery of new markers and targets of pharmaceutical interest, and to have the potential for high-throughput applications. Key factors to reach this goal are: high read-out sensitivity for quantification also of low abundance proteins, functional analysis of proteins, short assay analysis times, ease of handling and the ability to integrate a variety of different targets and new assays. Zeptosens has developed a revolutionary new bioanalytical system based on the proprietary planar waveguide technology which allows us to perform multiplexed, quantitative biomolecular interaction analysis with highest sensitivity in a microarray format upon utilizing the specific advantages of the evanescent field fluorescence detection. The analytical system, comprising an ultrasensitive fluorescence reader and microarray chips with integrated microfluidics, enables the user to generate a multitude of high fidelity data in applications such as protein expression profiling or investigating protein-protein interactions. In this paper, the important factors for developing high performance protein microarray systems, especially for targeting low abundant messengers of relevant biological information, will be discussed and the performance of the system will be demonstrated in experimental examples.     

Molecular architecture of protein-RNA recognition sites

The molecular architecture of protein-RNA interfaces are analyzed using a non-redundant dataset of 152 protein-RNA complexes. We find that an average protein-RNA interface is smaller than an average protein-DNA interface but larger than an average protein–protein interface. Among the different classes of protein-RNA complexes, interfaces with tRNA are the largest, while the interfaces with the single-stranded RNA are the smallest. Significantly, RNA contributes more to the interface area than its partner protein. Moreover, unlike protein–protein interfaces where the side chain contributes less to the interface area compared to the main chain, the main chain and side chain contributions flipped in protein-RNA interfaces. We find that the protein surface in contact with the RNA in protein-RNA complexes is better packed than that in contact with the DNA in protein-DNA complexes, but loosely packed than that in contact with the protein in protein–protein complexes. Shape complementarity and electrostatic potential are the two major factors that determine the specificity of the protein-RNA interaction. We find that the H-bond density at the protein-RNA interfaces is similar with that of protein-DNA interfaces but higher than the protein–protein interfaces. Unlike protein-DNA interfaces where the deoxyribose has little role in intermolecular H-bonds, due to the presence of an oxygen atom at the 2′ position, the ribose in RNA plays significant role in protein-RNA H-bonds. We find that besides H-bonds, salt bridges and stacking interactions also play significant role in stabilizing protein-nucleic acids interfaces; however, their contribution at the protein–protein interfaces is insignificant.