Protein-protein interaction studies on protein arrays: Effect of detection strategies on signal-to-background ratios

Protein arrays hold great promise for proteome-scale analysis of protein-protein interaction networks, but the technical challenges have hindered their adoption by proteomics researchers. The crucial issue of design and fabrication of protein arrays have been addressed in several studies, but the detection strategies used for identifying protein-protein interactions have received little attention. In this study, we evaluated six different detection strategies to identify four different protein-protein interaction pairs. We discuss each detection approach in terms of signal-to-background (S/B) ratio, ease of use, and adaptability to high-throughput format. Protein arrays for this study were made by expressing both the bait proteins (proteins captured at the surface) and prey proteins (probes) in cell-free rabbit reticulocyte lysate (RRL) systems. Bait proteins were expressed as HaloTag fusions that allow covalent capture on a HaloTag ligand-coated glass without any prior protein purification step. Prey proteins were expressed and modified with either tags (protein or peptides) or labels (fluorescent or radiometric) for detection. This simple method for creating protein arrays in combination with our analyses of several detection strategies should increase the usefulness of protein array technologies.     

News in Brief

Archival formalin-fixed, paraffin-embedded (FFPE) tissue and their associated diagnostic records represent an invaluable source of retrospective proteomic information on diseases for which the clinical outcome and response to treatment are known. However, analysis of archival FFPE tissues by high-throughput proteomic methods has been hindered by the adverse effects of formaldehyde fixation and subsequent tissue histology. This review examines recent methodological advances for extracting proteins from FFPE tissue suitable for proteomic analysis. These methods, based largely upon heat-induced antigen retrieval techniques borrowed from immunohistochemistry, allow at least a qualitative analysis of the proteome of FFPE archival tissues. The authors also discuss recent advances in the proteomic analysis of FFPE tissue; including liquid-chromatography tandem mass spectrometry, reverse phase protein microarrays and imaging mass spectrometry.     

Arraying proteins by cell-free synthesis

Recent advances in life science have led to great motivation for the development of protein arrays to study functions of genome-encoded proteins. While traditional cell-based methods have been commonly used for generating protein arrays, they are usually a time-consuming process with a number of technical challenges. Cell-free protein synthesis offers an attractive system for making protein arrays, not only does it rapidly converts the genetic information into functional proteins without the need for DNA cloning, but also presents a flexible environment amenable to production of folded proteins or proteins with defined modifications. Recent advancements have made it possible to rapidly generate protein arrays from PCR DNA templates through parallel on-chip protein synthesis. This article reviews current cell-free protein array technologies and their proteomic applications.     

News in Brief

Protein microarrays are versatile tools for parallel, miniaturized screening of binding events involving large numbers of immobilized proteins in a time- and cost-effective manner. They are increasingly applied for high-throughput protein analyses in many research areas, such as protein interactions, expression profiling and target discovery. While conventionally made by the spotting of purified proteins, recent advances in technology have made it possible to produce protein microarrays through in situ cell-free synthesis directly from corresponding DNA arrays. This article reviews recent developments in the generation of protein microarrays and their applications in proteomics and diagnostics.     

花粉蛋白质组学研究进展

花粉是高度退化的生物体(雄配子体), 在植物有性生殖过程中具有重要作用。解析花粉发育、花粉-柱头识别、萌发和花粉管生长等细胞学过程的分子机制是当前研究的热点问题之一。近年来, 应用高通量的蛋白质组学技术平台, 对水稻、拟南芥和裸子植物花粉的蛋白质组学研究揭示了花粉中表达蛋白质的功能类群特征。花粉中参与细胞壁代谢、蛋白质代谢、细胞骨架动态和信号转导的蛋白质被高度代表, 并且近1/4蛋白质有多个同工型。本文综述了花粉蛋白质组学的研究进展。     

花粉蛋白质组学研究进展

花粉是高度退化的生物体（雄配子体）,在植物有性生殖过程中具有重要作用。解析花粉发育、花粉-柱头识别、萌发和花粉管生长等细胞学过程的分子机制是当前研究的热点问题之一。近年来,应用高通量的蛋白质组学技术平台,对水稻、拟南芥和裸子植物花粉的蛋白质组学研究揭示了花粉中表达蛋白质的功能类群特征。花粉中参与细胞壁代谢、蛋白质代谢、细胞骨架动态和信号转导的蛋白质被高度代表,并且近1／4蛋白质有多个同工型。本文综述了花粉蛋白质组学的研究进展。     

Functional proteomics; current achievements

This review presents the current improvements in functional proteomic strategies and their research applications. Proteomics has emerged as an indispensable methodology for large-scale and high-throughput protein analyses in the post-genome era. Functional proteomics, the comprehensive analysis of proteins with special attention to their functions, is a powerful and useful approach for investigations in the life and medical sciences. Various methods have been developed for this purpose, expanding the field further. This important technology will not only provide a wealth of information on proteins, but also contribute synergistically to the understanding of life with other systematic technologies such as gene chips.     

Utilizing human blood plasma for proteomic biomarker discovery

Candidate proteomic biomarker discovery from human plasma holds both incredible clinical potential as well as significant challenges. The dynamic range of proteins within plasma is known to exceed 10(10), and many potential biomarkers are likely present at lower protein abundances. At present, proteomic based MS analyses provide a dynamic range typically not exceeding approximately 10(3) in a single spectrum, and approximately 10(4)-10(6) when combined with on-line separations (e.g., reversed-phase gradient liquid chromatography), and thus are generally insufficient for low level biomarker detection directly from human plasma. This limitation is providing an impetus for the development of experimental methodologies and strategies to increase the possible number of detections within this biofluid. Discussed is the diversity of available approaches currently used by our laboratory and others to utilize human plasma as a viable medium for biomarker discovery. Various separation, depletion, enrichment, and quantitative efforts as well as recent improvements in MS capabilities have resulted in measurable improvements in the detection and identification of lower abundance proteins (by approximately 10-10(2)). Despite these improvements, further advances are needed to provide a basis for discovery of candidate biomarkers at very low levels. Continued development of depletion and enrichment techniques, coupled with improved pre-MS separations (both at the protein and peptide level) holds promise in extending the dynamic range of proteomic analysis.     

Novel proteomic approaches for tissue analysis

Proteomics, the global study of protein expression and characteristics, has recently emerged as a key component in the field of molecular analysis. The dynamic nature of proteins, from ion channels to chaperones, presents a challenge, yet the understanding of these molecules provides a rich source of information. When applying proteomic analysis directly to human tissue samples, additional difficulties arise. The following article presents an overview of the current proteomic tools used in the analysis of tissues, beginning with conventional methods such as western blot analysis and 2D polyacrylamide gel electrophoresis. The most current high-throughput techniques being used today are also reviewed. These include protein arrays, reverse-phase protein lysate arrays, matrix-assisted laser desorption/ionization, surface-enhanced laser desorption/ionization and layered expression scanning. In addition, bioinformatics as well as issues regarding tissue preservation and microdissection to obtain pure cell populations are included. Finally, future directions of the tissue proteomics field are discussed.     

Emerging tools for real-time label-free detection of interactions on functional protein microarrays

The availability of extensive genomic information and content has spawned an era of high-throughput screening that is generating large sets of functional genomic data. In particular, the need to understand the biochemical wiring within a cell has introduced novel approaches to map the intricate networks of biological interactions arising from the interactions of proteins. The current technologies for assaying protein interactions--yeast two-hybrid and immunoprecipitation with mass spectrometric detection--have met with considerable success. However, the parallel use of these approaches has identified only a small fraction of physiologically relevant interactions among proteins, neglecting all nonprotein interactions, such as with metabolites, lipids, DNA and small molecules. This highlights the need for further development of proteome scale technologies that enable the study of protein function. Here we discuss recent advances in high-throughput technologies for displaying proteins on functional protein microarrays and the real-time label-free detection of interactions using probes of the local index of refraction, carbon nanotubes and nanowires, or microelectromechanical systems cantilevers. The combination of these technologies will facilitate the large-scale study of protein interactions with proteins as well as with other biomolecules.     

Novel proteomic approaches for tissue analysis

Proteomics, the global study of protein expression and characteristics, has recently emerged as a key component in the field of molecular analysis. The dynamic nature of proteins, from ion channels to chaperones, presents a challenge, yet the understanding of these molecules provides a rich source of information. When applying proteomic analysis directly to human tissue samples, additional difficulties arise. The following article presents an overview of the current proteomic tools used in the analysis of tissues, beginning with conventional methods such as western blot analysis and 2D polyacrylamide gel electrophoresis. The most current high-throughput techniques being used today are also reviewed. These include protein arrays, reverse-phase protein lysate arrays, matrix-assisted laser desorption/ionization, surface-enhanced laser desorption/ionization and layered expression scanning. In addition, bioinformatics as well as issues regarding tissue preservation and microdissection to obtain pure cell populations are included. Finally, future directions of the tissue proteomics field are discussed.     

Cluster analysis of protein array results via similarity of Gene Ontology annotation

Background  

With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to the traditional one-protein-at-a-time approach. Although there are several publicly available tools that facilitate the analysis of protein sets, they do not display integrated results in an easily-interpreted image or do not allow the user to specify the proteins to be analysed.     

Advances in quantitative proteomics via stable isotope tagging and mass spectrometry

The high-throughput identification and accurate quantification of proteins are essential components of proteomic strategies for studying cellular functions and processes. Techniques that are largely based on stable isotope protein or peptide labeling and automated tandem mass spectrometry are increasingly being applied in quantitative proteomic studies. Over the past year, significant progress has been made toward improving and diversifying these technologies with respect to the methods for stable isotope labeling, process automation and data processing and analysis. Advances in stable isotope protein labeling and recent biological studies that used stable isotope based quantitative proteomics techniques are reviewed.     

A designed glycopeptide array for characterization of sugar-binding proteins toward a glycopeptide chip technology

For the realization of a practical high-throughput protein detection and analysis system, a novel peptide array has been constructed using a designed glycopeptide model library with an α-helical secondary structure. This study will contribute the increment of the diversity of such an array system and the application to focused proteomics and ligand screening by effective detection of sugar-binding proteins. Fluorescent glycopeptides with an α-helix, a β-strand, or a loop structure were designed initially to select a suitable scaffold for the detection of a model protein. After selection of the α-helical structure as the best scaffold, a small model library with various saccharides was constructed to have charge and hydrophobicity variations in the peptide sequences. When various sugar-binding proteins were added to the peptide library array, the fluorescent peptides showed different responses in fluorescence intensities depending on their sequences as well as saccharides. The patterns of these responses could be regarded as “protein fingerprints” (PFPs), which are able to establish the identities of the target proteins. The resulting PFPs reflected the recognition properties of the proteins. Furthermore, statistical data analysis from obtained PFPs was performed using a cluster analysis. The PFPs of sugar-binding proteins were clustered successfully depending on their families and binding properties. These studies demonstrate that arrays with glycopeptide libraries based on designed structures can be promising tools to detect and analyze the target proteins. Designed peptides with functional groups such as sugars will play roles as the capturing agents of high-throughput protein nano/micro arrays for focused proteomics and ligand screening studies.     

Peptide aptamers: specific inhibitors of protein function

In recent years, peptide aptamers have emerged as novel molecular tools that are useful for both basic and applied aspects of molecular medicine. Due to their ability to specifically bind to and inactivate a given target protein at the intracellular level, they provide a new experimental strategy for functional protein analyses, both in vitro and in vivo. In addition, by using peptide aptamers as "pertubagens", they can be employed for genetic analyses, in order to identify biochemical pathways, and their components, that are associated with the induction of distinct cellular phenotypes. Furthermore, peptide aptamers may be developed into diagnostic tools for the detection of a given target protein or for the generation of high-throughput protein arrays. Finally, the peptide aptamer technology has direct therapeutic implications. Peptide aptamers can be used in order to validate therapeutic targets at the intracellular level. Moreover, the peptide aptamer molecules themselves should possess therapeutic potential, both as lead structures for drug design and as a basis for the development of protein drugs.     

Protein subcellular localization prediction based on compartment-specific features and structure conservation

Background  

Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. Determination of subcellular localization using experimental approaches is time-consuming; thus, computational approaches become highly desirable. Extensive studies of localization prediction have led to the development of several methods including composition-based and homology-based methods. However, their performance might be significantly degraded if homologous sequences are not detected. Moreover, methods that integrate various features could suffer from the problem of low coverage in high-throughput proteomic analyses due to the lack of information to characterize unknown proteins.     

The role of mass spectrometry in proteome studies

Mass spectrometry (MS) is an important tool in modern protein chemistry. In proteome analyses the expression of hundreds or thousands of proteins can be monitored at the same time. First, complex protein mixtures are separated by two-dimensional gel electrophoresis (2-DE) and then individual proteins are identified by using MS followed by database searches. Recent developments in this field have made it possible to do automated, high-throughput protein identification that is needed in proteome analyses. MS can also be used to characterize post-translational modifications in proteins and to study protein complexes. This review will introduce the current MS methods used in proteome studies, and discuss their advantages and disadvantages. New instrumental MS developments are also presented that are useful in these analyses.