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Approach to the comprehensive analysis of glycoproteins isolated from human serum using a multi-lectin affinity column.

Glycosylation is one the most common post-translational modifications (PTM) and glycoproteins play fundamental roles in a diversity of biological processes. The development of an analytical approach to the study of variation of glycosylation patterns in serum samples has been hindered by the structural heterogeneity of this post-translational modification and the complexity of serum proteome. We have used the ability of different lectins to recognize specific glycosylation motifs to develop a specific affinity system that can achieve a comprehensive capture of serum glycoproteins. In a preliminary investigation, we evaluated the ability of five commonly used immobilized lectins to capture glycoproteins from human serum. SDS-PAGE analysis showed each lectin was able to enrich a subset of the serum glycoproteome and overlaps in lectin specificity were indeed observed. Based on these results and with the goal of studying the extent of the human serum glycoproteome, we then developed a multi-lectin affinity column containing Concanavalin A (Con A), Wheat germ and Jacalin lectin. The selection of lectins was also based on the known N-linked and O-linked glycan structures that are considered representative of the serum proteome. We then demonstrated that the capture of glycoproteins was specific, efficient and reproducible with this multi-lectin column. The results obtained with this affinity step indicated that about 10% of human serum proteins are glycosylated (weight/weight) and, after removal of six high abundance proteins, including albumin, at least 50% of the remaining proteins were glycosylated. We then evaluated the use of this affinity column to monitor changes in the pattern of glycosylation in serum samples by a controlled, stepwise release of the captured proteins from the multi-lectin affinity column with specific displacers.

Chromatography, Affinity↗

Tagging and detection strategies for activity-based proteomics.

The field of activity-based proteomics is a relatively new discipline that makes use of small molecules, termed activity-based probes (ABPs), to tag and monitor distinct sets of proteins within a complex proteome. These activity-dependant labels facilitate analysis of systems-wide changes at the level of enzyme activity rather than simple protein abundance. While the use of small molecule inhibitors to label enzyme targets is not a new concept, the past ten years have seen a rapid expansion in the diversity of probe families that have been developed. In addition to increasing the number and types of enzymes that can be targeted by this method, there has also been an increase in the number of methods used to visualize probes once they are bound to target enzymes. In particular, the use of small organic fluorophores has created a wealth of applications for ABPs that range from biochemical profiling of diverse proteomes to direct imaging of active enzymes in live cells and even whole animals. In addition, the advent of new bioorthogonal coupling chemistries now enables a diverse array of tags to be added after targets are labeled with an ABP. This strategy has opened the door to new in vivo applications for activity-based proteomic methods.

Affinity Labels↗

Using immobilized metal affinity chromatography, two-dimensional electrophoresis and mass spectrometry to identify hepatocellular proteins with copper-binding ability.

To further our knowledge of intracellular copper transport, we used a proteomics strategy to search for hepatic proteins with copper-binding ability. Hep G2 cytosolic and microsomal fractions were applied to a copper(II)-loaded immobilized metal-affinity chromatography (IMAC) column. Protein identification was performed with 2-D gel electrophoresis and mass spectrometry. We identified 48 cytosolic proteins and 19 microsomal proteins displaying copper-binding ability. These proteins are diverse in function. Fifty-two of the 67 proteins contain putative metal-binding domains. We have identified many components of the Hep G2 copper metalloproteome including a large number of proteins not previously known to bind copper.

Carrier Proteins↗

High-throughput purification of hexahistidine-tagged proteins expressed in E. coli.

This chapter describes a method for efficient high-throughput purification of hexahistidine-tagged proteins that are expressed in Escherichia coli (E. coli) using immobilized metal affinity chromatography (IMAC) in a 96-well format. This approach is particularly suitable for proteomic applications that require modest amounts of highly purified proteins to be generated very efficiently. This approach is also very useful for identifying protein targets that are most amenable to scaled-up production for use in structural studies. The typical yield of proteins purified using this system is 50-150 microg, which is generally greater than that of many in vitro expression systems and much less costly. The method as described has been optimized for purifying approx 150 microg of hexahistidine-tagged protein, but the method is flexible, so that the amount of affinity matrix and culture volumes can be adjusted for optimal binding capacity and consequently highest purity. Although the method detailed here uses IMAC to purify hexahistidine-tagged proteins, this basic platform can be used with many other tags and affinity resins.

Escherichia coli↗

Proteomic identification of alpha-amylase isoforms encoded by RAmy3B/3C from germinating rice seeds.

We isolated and identified 10 alpha-amylase isoforms by using beta-cyclodextrin Sepharose affinity column chromatography and two-dimensional polyacrylamide gel electrophoresis from germinating rice (Oryza sativa L.) seeds. Immunoblots with anti-alpha-amylase I-1 and II-4 antibodies indicated that 8 isoforms in 10 are distinguishable from alpha-amylase I-1 and II-4. Peptide mass fingerprinting analysis showed that there exist novel isoforms encoded by RAmy3B and RAmy3C genes. The optimum temperature for enzyme reaction of the RAmy3B and RAmy3C coding isoforms resembled that of alpha-amylase isoform II-4 (RAmy3D). Furthermore, complex protein polymorphism resulted from a single alpha-amylase gene was found to occur not only in RAmy3D, but also in RAmy3B.

Amino Acid Sequence↗

A proteomic analysis of human bile.

We have carried out a comprehensive characterization of human bile to define the bile proteome. Our approach involved fractionation of bile by one-dimensional gel electrophoresis and lectin affinity chromatography followed by liquid chromatography tandem mass spectrometry. Overall, we identified 87 unique proteins, including several novel proteins as well as known proteins whose functions are unknown. A large majority of the identified proteins have not been previously described in bile. Using lectin affinity chromatography and enzymatically labeling of asparagine residues carrying glycan moieties by (18)O, we have identified a total of 33 glycosylation sites. The strategy described in this study should be generally applicable for a detailed proteomic analysis of most body fluids. In combination with "tagging" approaches for differential proteomics, our method could be used for identification of cancer biomarkers from any body fluid.

Amino Acid Sequence↗

Synthesis and testing of mechanism-based protein-profiling probes for retaining endo-glycosidases.

New functional proteomics methods are required for targeting and identification of subsets of a proteome in an activity-based fashion. Glycosidases play critical roles in biology, yet a robust method for functional analysis of their activities and identities in biological proteomes is still lacking. An aryl 2-deoxy-2-fluoro xylobioside inactivator was conjugated through cleavable and noncleavable linker arms to a biotin tag, thereby yielding two new active-site-directed reagents for activity-based profiling of retaining beta-glycanases in complex proteomes. Crucially, these tagged reagents possess high specificity for their target enzymes with kinetic parameters similar to those of the untagged reagent. Western blotting showed that these reagents bind and covalently label active retaining beta-glycanases both in pure enzyme samples and in the secreted proteome of the soil bacterium Cellulomonas fimi. Such reagents therefore show great promise for future activity-based targeting of glycanases.

Affinity Labels↗

[Comparative chemical proteomics: simultaneous identification of disease-specific protein targets and their small molecule-binding partners, suitable as drug candidates].

The simultaneous identification of disease-specific protein targets and their small molecule binding partners, suitable as drug candidates, could radically reduce the timeline and costs of drug discovery and development. Comparative chemical proteomics provides a novel approach to achieve this goal through rapid detection of overexpressed proteins in diseased samples by the application of small molecule microarrays. The interacting small molecules enables direct affinity-based isolation and identification of the proteins. In the present paper we report comparative chemical proteomics studies on melanocytes and melanoma cell-lines, which led to the identification of 3 overexpressed proteins (e.g. -tubulin) together with their small molecule binding partner.

Carrier Proteins↗

Large-scale identification of tubulin-binding proteins provides insight on subcellular trafficking, metabolic channeling, and signaling in plant cells.

Microtubules play an essential role in the growth and development of plants and are known to be involved in regulating many cellular processes ranging from translation to signaling. In this article, we describe the proteomic characterization of Arabidopsis tubulin-binding proteins that were purified using tubulin affinity chromatography. Microtubule co-sedimentation assays indicated that most, if not all, of the proteins in the tubulin-binding protein fraction possessed microtubule-binding activity. Two-dimensional gel electrophoresis of the tubulin-binding protein fraction was performed, and 86 protein spots were excised and analyzed for protein identification. A total of 122 proteins were identified with high confidence using LC-MS/MS. These proteins were grouped into six categories based on their predicted functions: microtubule-associated proteins, translation factors, RNA-binding proteins, signaling proteins, metabolic enzymes, and proteins with other functions. Almost one-half of the proteins identified in this fraction were related to proteins that have previously been reported to interact with microtubules. This study represents the first large-scale proteomic identification of eukaryotic cytoskeleton-binding proteins, and provides insight on subcellular trafficking, metabolic channeling, and signaling in plant cells.

Arabidopsis↗

Web-accessible proteome databases for microbial research.

The analysis of proteomes of biological organisms represents a major challenge of the post-genome era. Classical proteomics combines two-dimensional electrophoresis (2-DE) and mass spectrometry (MS) for the identification of proteins. Novel technologies such as isotope coded affinity tag (ICAT)-liquid chromatography/mass spectrometry (LC/MS) open new insights into protein alterations. The vast amount and diverse types of proteomic data require adequate web-accessible computational and database technologies for storage, integration, dissemination, analysis and visualization. A proteome database system (http://www.mpiib-berlin.mpg.de/2D-PAGE) for microbial research has been constructed which integrates 2-DE/MS, ICAT-LC/MS and functional classification data of proteins with genomic, metabolic and other biological knowledge sources. The two-dimensional polyacrylamide gel electrophoresis database delivers experimental data on microbial proteins including mass spectra for the validation of protein identification. The ICAT-LC/MS database comprises experimental data for protein alterations of mycobacterial strains BCG vs. H37Rv. By formulating complex queries within a functional protein classification database "FUNC_CLASS" for Mycobacterium tuberculosis and Helicobacter pylori the researcher can gather precise information on genes, proteins, protein classes and metabolic pathways. The use of the R language in the database architecture allows high-level data analysis and visualization to be performed "on-the-fly". The database system is centrally administrated, and investigators without specific bioinformatic competence in database construction can submit their data. The database system also serves as a template for a prototype of a European Proteome Database of Pathogenic Bacteria. Currently, the database system includes proteome information for six strains of microorganisms.

Bacterial Proteins↗

Peptidomics, current status.

Characterisation of the complement of expressed proteins from a single genome is a central focus of the evolving field of proteomics. Traditional proteomics technologies were developed in the 20th century and are based on two-dimensional electrophoresis or multidimensional liquid chromatography. These facilitated functional genomics analysis, but they currently represent a significant bottleneck to progress in this area. We are now witnessing the development of novel alternative technologies for use in expression proteomics research. This review aims to familiarise the reader with the principles underlying the peptidomics approaches to proteomics research and provide examples of their applications.

Arginine↗

High-throughput comprehensive analysis of human plasma proteins: a step toward population proteomics.

A high-throughput (HT) comprehensive analysis approach was developed for assaying proteins directly from human plasma. Proteins were selectively retrieved, by utilizing antibodies immobilized within affinity pipet tips, and eluted onto enzymatically active mass spectrometer targets for subsequent digestion and structural characterization. Several parameters, including uniform parallel protein elution from 96 affinity pipet tips, proper buffering for on-target digestion, termination of the digestion, and MALDI matrix (re)introduction, were evaluated and optimized. The approach was validated via parallel, high-throughput analysis of transthyretin (TTR) and transferrin (TRFE) from 96 identical plasma samples. The 96 parallel analyses for each protein were completed in less than 90 min, measured from protein extraction to insertion in the mass spectrometer. Virtually identical mass spectra were obtained from the 96 TTR analyses, characterized by the presence of 14 tryptic fragments that allowed TTR sequence mapping with 100% coverage. Database search returned TTR as the best match for all 96 data sets. In regard to the TRFE analyses, database searching using data from the 96 spectra returned TRFE as the best match for all but 1 of the spectra. TRFE was mapped with 47-69% sequence coverage, with gaps in the sequence coverage corresponding to the carbohydrate-containing peptide fragments and large and small trypsin fragments that fell outside the window of mass analysis. Overall, the combined high-throughput affinity capture-protein digestion approach showed high reproducibility and speed and yielded an exceptional level of protein characterization, suggesting its use in future population proteomics endeavors.

Blood Proteins↗

Glycome project: concept, strategy and preliminary application to Caenorhabditis elegans.

Glycans play a central role as potential mediators between complex cell societies, because all living organisms consist of cells covered with diverse carbohydrate chains reflecting various cell types and states. However, we have no idea how diverse these carbohydrate chains actually are. The main purpose of this article is to persuade life scientists to realize the fundamental importance of taking some action by becoming involved in "glycomics". "Glycome" is a term meaning the whole set of glycans produced by individual organisms, as the third bioinformative macromolecules to be elucidated next to the genome and proteome. Here a basic strategy is presented. The essence of the project includes the following: (a) glycopeptides, but not glycans released from their core proteins, are targeted for linkage to genome databases; (b) Caenorhabditis elegans is used as the first model organism for this project, since its genome project has already been completed; (c) four essential attributes are adopted to characterize each glycopeptide: (i) cosmid identification number (ID), (ii) molecular weight (M(r)), (iii) retention (Rs) of pyridylaminated (PA) oligosaccharides in 2-D mapping, and (iv) dissociation constants (Kd's) of PA-oligosaccharides for a set of lectins. Thus, the obtained ID, M(r), R and Kd's construct the glycome database, which will be open as the previous genome and proteome databases. For the project to proceed the "glyco-catch" method is proposed, where a group of target glycopeptides are captured by means of lectin-affinity chromatography after protease digestion. Already glycopeptides from asialofetuin and ovalbumin were successfully captured by galectin-agarose and Con A-agarose, respectively. Further, to examine the practical validity of the method, we extracted membrane proteins from C. elegans with 1% Triton X-100, and isolated specific glycopeptides by use of the same galectin column. One of the glycopeptides was successfully identified in the C. elegans genome database. Finally, for determination of Kd between glycopeptides and lectins, a recently reinforced frontal affinity chromatography (FAC) is proposed as an alternative to define glycan structures in place of determining every covalent structure.

Animals↗

Techniques for studying protein heterogeneity and post-translational modifications.

Proteins often undergo several post-translational modification steps in parallel to protein folding. These modifications can be transient or of a more permanent nature. Most modifications are, however, susceptible to alteration during the lifespan of proteins. Post-translational modifications thus generate variability in proteins that are far beyond that provided by the genetic code. Co- and post-translational modifications can convert the 20 specific codon-encoded amino acids into more than 100 variant amino acids with new properties. These, and a number of other modifications, can considerably increase the information content and functional repertoire of proteins, thus making their analysis of paramount importance for diagnostic and basic research purposes. Various methods used in proteomics, such as 2D gel electrophoresis, 2D liquid chromatography, mass spectrometry, affinity-based analytical methods, interaction analyses, ligand blotting techniques, protein crystallography and structure-function predictions, are all applicable for the analysis of these numerous secondary modifications. In this review, examples of some of these techniques in studying the heterogeneity of proteins are highlighted. In the future, these methods will become increasingly useful in biomarker searches and in clinical diagnostics.

Humans↗

Combination of two-dimensional electrophoresis and shotgun peptide sequencing in comparative proteomics.

Two-dimensional electrophoresis (2-DE) and shotgun peptide sequencing are the two major technologies to compare the expression profile of proteins, which is also referred to as comparative proteomics or quantitative proteomics. Although the methodologies, such as difference gel electrophoresis for 2-DE and isotope-coded affinity tags for shotgun peptide sequencing, have made rapid progress, these two approaches have their own strengths and weaknesses. Therefore, the combination of the two methodologies is beneficial for the purpose of better comparative proteomics, especially in comprehensive coverage of the proteome and protein information such as post-translational modifications.

Animals↗

SwellGel: an affinity chromatography technology for high-capacity and high-throughput purification of recombinant-tagged proteins.

The revolution in genomics and proteomics is having a profound impact on drug discovery. Today's protein scientist demands a faster, easier, more reliable way to purify proteins. A high capacity, high-throughput new technology has been developed in Perbio Sciences for affinity protein purification. This technology utilizes selected chromatography media that are dehydrated to form uniform aggregates. The SwellGel aggregates will instantly rehydrate upon addition of the protein sample, allowing purification and direct performance of multiple assays in a variety of formats. SwellGel technology has greater stability and is easier to handle than standard wet chromatography resins. The microplate format of this technology provides high-capacity, high-throughput features, recovering milligram quantities of protein suitable for high-throughput screening or biophysical/structural studies. Data will be presented applying SwellGel technology to recombinant 6x His-tagged protein and glutathione-S-transferase (GST) fusion protein purification.

Binding Sites↗

Epitope Tagging and Coimmunoprecipitation to Identify Viral Protein Interactors.

Affinity purification-mass spectrometry (AP-MS) is a powerful proteomic approach for dissecting the interaction network between virus and host. Traditional AP-MS employs overexpression of viral proteins as baits to enrich host interactors. However, overexpressed viral proteins may mislocalize to inappropriate cellular compartments and trigger endoplasmic reticulum stress by overwhelming the protein-folding machinery, which leads to false identification of host factors. To overcome these limitations, we introduce an AP-MS strategy based on direct infection with an epitope-tagged chikungunya virus (CHIKV/myc-E2), which we used to successfully uncover two new antiviral factors in CHIKV cellular reservoirs-macrophages. In this protocol, we will describe this technique step by step: (1) design and construction of myc-tagged virus by advanced multi-fragment assembly, (2) in vitro transcription and preparation of infectious myc-tagged virus stocks, and (3) immunoprecipitation of myc-tagged viral protein and its interactome for mass spectrometry analysis. This strategy enables accurate identification of viral interactors in a physiologically relevant context, providing a framework for future proteomic studies using tagged viruses.

Chikungunya virus↗