蛋白质微技术及其在医学领域中的应用

蛋白质微阵列是生物芯片的一种,其主要优势在于应用平面上的有序排列的许多管、腔（孔）或各自独立的点来进行样本检测,使大量样本的平行分析成为可能。应用此技术可同时分析诸多蛋白质的生物化学活性、蛋白质与蛋白质间、蛋白质与DNA间、蛋白质与RNA间,以及蛋白质与配体间的相互作用,从而在临床诊断、药物研究、环境监测、食品卫生等方面显示出其广阔的应用前景。     

A consolidated approach to analyzing data from high-throughput protein microarrays with an application to immune response profiling in humans.

Motivation: DNA microarrays are a well-known and established technology in biological and pharmaceutical research providing a wealth of information essential for understanding biological processes and aiding drug development. Protein microarrays are quickly emerging as a follow-up technology, which will also begin to experience rapid growth as the challenges in protein to spot methodologies are overcome. Like DNA microarrays, their protein counterparts produce large amounts of data that must be suitably analyzed in order to yield meaningful information that should eventually lead to novel drug targets and biomarkers. Although the statistical management of DNA microarray data has been well described, there is no available report that offers a successful consolidated approach to the analysis of high-throughput protein microarray data. We describe the novel application of a statistical methodology to analyze the data from an immune response profiling assay using human protein microarray with over 5000 proteins on each chip.     

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.     

Affinity as a tool in life science

The use of affinity-based tools has become invaluable as a platform for basic research and in the development of drugs and diagnostics. Applications include affinity chromatography and affinity tag fusions for efficient purification of proteins as well as methods to probe the protein network interactions on a whole-proteome level. A variety of selection systems has been described for in vitro evolution of affinity reagents using combinatorial libraries, which make it possible to create high-affinity reagents to virtually all biomolecules, as exemplified by generation of therapeutic antibodies and new protein scaffold binders. The strategies for high-throughput generation of affinity reagents have also opened up the possibility of generating specific protein probes on a whole-proteome level. Recently, such affinity proteomics have allowed the detailed analysis of human protein expression in a comprehensive manner both in normal and disease tissue using tissue microarrays and confocal microscopy.     

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.     

Microarrays as validation strategies in clinical samples: tissue and protein microarrays

The widespread use of DNA microarrays has led to the discovery of many genes whose expression profile may have significant clinical relevance. The translation of this data to the bedside requires that gene expression be validated as protein expression, and that annotated clinical samples be available for correlative and quantitative studies to assess clinical context and usefulness of putative biomarkers. We review two microarray platforms developed to facilitate the clinical validation of candidate biomarkers: tissue microarrays and reverse-phase protein microarrays. Tissue microarrays are arrays of core biopsies obtained from paraffin-embedded tissues, which can be assayed for histologically-specific protein expression by immunohistochemistry. Reverse-phase protein microarrays consist of arrays of cell lysates or, more recently, plasma or serum samples, which can be assayed for protein quantity and for the presence of post-translational modifications such as phosphorylation. Although these platforms are limited by the availability of validated antibodies, both enable the preservation of precious clinical samples as well as experimental standardization in a high-throughput manner proper to microarray technologies. While tissue microarrays are rapidly becoming a mainstay of translational research, reverse-phase protein microarrays require further technical refinements and validation prior to their widespread adoption by research laboratories.     

Using protein microarrays to study phosphorylation-mediated signal transduction

Unraveling the complexity of cell regulatory systems and monitoring their operations under normal and pathological circumstances is one of the major outstanding biomedical challenges. The phosphoproteome has emerged as a rich source of biomarkers for tracking cell signaling and disease, and many of the kinases that phosphorylate proteins represent attractive targets for drug development. Over 100,000 phosphorylation sites distributed in most of the 23,000 proteins encoded by the human genome have already been identified in a non-targeted fashion by mass-spectrometry. Antibody microarrays permit ultra-sensitive, semi-quantitative measurements of the levels of hundreds of target proteins and their phosphorylation in parallel with specimens from cells and tissues. Conversely, reverse-phase protein microarrays (RPPMs) that are printed with crude cell/tissue lysates allow tracking of a target protein with a probing antibody in hundreds to thousands of cell and tissue samples simultaneously. While more than half a million commercial antibodies are available, the identification of highly specific and potent antibodies for use in microarrays remains a major impediment. Antibody cross-reactivity is an issue for both antibody microarrays and RPPMs. The low abundance of signal transduction proteins and their substoichiometric levels of phosphorylation are also problematic. Finally, non-denaturing conditions used with standard antibody microarrays permit protein complexes, which can produce false positives and false negatives. Changes in the level of an interacting protein may be misinterpreted as alterations in the amount of a target protein or its phosphorylation state. It is critical that leads from both types of microarrays are validated by complementary approaches such as immunoblotting and ELISA. More than a hundred reports have appeared in the scientific literature that have benefited from utilization of antibody and protein lysate microarrays. We have highlighted some of the pioneering works in this field and provided recent examples of their successful deployment as tools for broad-based, targeted proteomics research.     

糖芯片的制备和检测应用研究进展

近数十年来,糖芯片逐渐成为分析糖介导的识别和结合作用的强有力工具,具有样品检测用量少、特异性强和高通量等优点,可以大大提高糖生物学研究的效率。主要介绍了通过糖库的构建、共价结合和非共价吸附法等方法制备糖芯片的过程,糖芯片的检测方法及其在生物学研究和生物医学领域的应用,以期为糖芯片相关研究提供参考。     

Self-assembling protein arrays using electronic semiconductor microchips and in vitro translation

Protein arrays will greatly accelerate research and development in medical and biological sciences. We have used cell-free protein biosynthesis and a parallel immobilization strategy for producing protein biochips. We demonstrate a model two-protein microarray using luciferase and green fluorescent protein, both expressed in a cell-free system and specifically immobilized on CombiMatrix semiconductor oligonucleotide microarrays. This demonstration provides evidence for the appropriate folding, activity, robust presentation, and efficient flexible detection of proteins on the microscale.     

It is time to end the patenting of software

One of the most significant outcomes of genomics has been arapid increase in the rate that we as a community can generatedata on interesting biological systems. Rapid improvements intechnologies such as DNA microarrays and proteomics applicationshave produced a climate where the challenge is no longer collectinghigh quality data but rather managing and analyzing it. As wein the bioinformatics community have addressed this challenge,we have had to carefully consider the way in which the resultsof our intellectual efforts—the software tools that wedevelop—are made available to the wider research community.Increasingly, bioinformatics scientists are coming to call fordevelopment in an open source environment in which softwareis distributed with its underlying source code     

Protein microarrays on hybrid polymeric thin films prepared by self-assembly of polyelectrolytes for multiple-protein immunoassays

We report here the development and characterization of protein microarrays fabricated on nanoengineered 3-D polyelectrolyte thin films (PET) deposited on glass slide by consecutive adsorption of polyelectrolytes via self-assembly technique. Antibodies or antigens were immobilized in the PET-coated glass slides by electrostatic adsorption and entrapment of porous structure of the 3-D polymer film and thus establishing a platform for parallel analysis. Both antigen and antibody microarrays were fabricated on the PET-coated slides, and direct and indirect immunoassays on protein microarrays for multiple-analyte detection were demonstrated. Microarrays produced on these PET-coated slides have consistent spot morphology and provide performance features needed for proteomic analysis. The protein microarrays on the PET films provide LOD as low as 6 pg/mL and dynamic ranges up to three orders of magnitude, which are wider than the protein microarrays fabricated on aldehyde and poly-L-lysine functionalized slides. The PET films constructed by self-assembly technique in aqueous solution is green chemistry based, cost-effective method to generate 3-D thin film coatings on glass surface, and the coated slide is well suited for immobilizing many types of biological molecules so that a wide variety of microarray formats can be developed on this type of slide.     

蛋白质与抗体微阵列及其在生物医学研究中的应用

随着人类基因组测序的顺利完成及其他相关领域如机械制造、微电子加工技术及生物信息学方面所取得的进展,以蛋白质为研究对象的蛋白质组学愈显重要,高通量的蛋白质与抗体阵列芯片分析技术正日益为人们关注.对蛋白质分析策略及以阵列为基础的蛋白质芯片分析原理、相关的制备方法与检测技术及其在生物学研究、医学与实验诊断应用方面进行了阐述,并对现阶段该技术存在的不足与发展前景进行了讨论.     

A pre-processing pipeline to quantify,visualize, and reduce technical variation in protein microarray studies

Technical variation, or variation from non-biological sources, is present in most laboratory assays. Correcting for this variation enables analysts to extract a biological signal that informs questions of interest. However, each assay has different sources and levels of technical variation, and the choice of correction methods can impact downstream analyses. Compared to similar assays such as DNA microarrays, relatively few methods have been developed and evaluated for protein microarrays, a versatile tool for measuring levels of various proteins in serum samples. Here, we propose a pre-processing pipeline to correct for some common sources of technical variation in protein microarrays. The pipeline builds upon an existing normalization method by using controls to reduce technical variation. We evaluate our method using data from two protein microarray studies and by simulation. We demonstrate that pre-processing choices impact the fluorescent-intensity based ranks of proteins, which in turn, impact downstream analysis.     

Protein microarrays for gene expression and antibody screening.

Proteins translate genomic sequence information into function, enabling biological processes. As a complementary approach to gene expression profiling on cDNA microarrays, we have developed a technique for high-throughput gene expression and antibody screening on chip-size protein microarrays. Using a picking/spotting robot equipped with a new transfer stamp, protein solutions were gridded onto polyvinylidene difluoride filters at high density. Specific purified protein was detected on the filters with high sensitivity (250 amol or 10 pg of a test protein). On a microarray made from bacterial lysates of 92 human cDNA clones expressed in a microtiter plate, putative protein expressors could be reliably identified. The rate of false-positive clones, expressing proteins in incorrect reading frames, was low. Product specificity of selected clones was confirmed on identical microarrays using monoclonal antibodies. Cross-reactivities of some antibodies with unrelated proteins imply the use of protein microarrays for antibody specificity screening against whole libraries of proteins. Because this application would not be restricted to antigen-antibody systems, protein microarrays should provide a general resource for high-throughput screens of gene expression and receptor-ligand interactions.     

Mammalian cell-seeded hydrogel microarrays printed via dip-pin technology

Although significant advances have been made in the development of DNA and protein microarrays, less effort has been put toward developing mammalian cell microarrays. Such cellular microarrays may be useful in examining the effects of biological or chemical agents on cells, particularly in drug development and toxicological applications. Here, mammalian cell-seeded hydrogel microarrays were created using two different commercial microarrayers, with four different pin types. Human dermal fibroblasts were used here as a model cell type, seeded within polyethylene glycol-based hydrogels similar to those under investigation as tissue engineering scaffolds, which serve as synthetic extracellular matrices for the cells. Spot sizes of the hydrogels were found to vary with pin type. Multiple touches on a slide following a single dip in the reservoir print solution led to decreasing spot size with each touch; therefore, subsequent microarrays were printed with single touches after a dip. Individual pins of the same type and tip diameter had significantly different spot sizes, likely due to wear of the pins at the tip. However there was high run-to-run reproducibility between subsequent microarrays. Cell viability varied with pin type, and the number of cells per spot varied with cell density in the print solution, as expected.