Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “affinity proteomics”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 973 records · Page 54Linked to original sources
PubMed2004

An automated small-scale protein expression and purification screening provides beneficial information for protein production.

One of the first key steps in structural genomics is high-throughput expression and rapid screening to select highly soluble proteins, the preferred candidates for crystal production. Here we describe the methodology used at the Berkeley Structural Genomics Center (BSGC) for automated parallel expression and small-scale purification of fusion proteins using a 96-well format. Our robotic method includes cell lysis, soluble fraction separation and purification with affinity resins. For detection of His-tagged proteins in the soluble fractions and after affinity resin elution, a dot-blot procedure with an anti-His-antibody is used. The expression level and molecular mass of recombinant proteins are checked by SDS-PAGE. With this approach, we are able to obtain beneficial information to be used for large-scale protein expression and purification.

Automation↗
PubMed2005

Elucidation of N-glycosylation sites on human platelet proteins: a glycoproteomic approach.

Among known platelet proteins, a prominent and functionally important group is represented by glycoprotein isoforms. They account e.g. for secretory proteins and plasma membrane receptors including integrins and glycoprotein VI as well as intracellular components of cytosol and organelles including storage proteins (multimerin 1 etc.). Although many of those proteins have been studied for some time with regard to their function, little attention has been paid with respect to their glycosylation sites. Here we report the analysis of N-glycosylation sites of human platelet proteins. For the enrichment of glycopeptides, lectin affinity chromatography as well as chemical trapping of protein bound oligosaccharides was used. Therefore, concanavalin A was used for specific interaction with carbohydrate species along with periodic acid oxidation and hydrazide bead trapping of glycosylated proteins. Derivatization by peptide:N-glycosidase F yielded deglycosylated peptides, which provided the basis for the elucidation of proteins and their sites of modification. Using both methods in combination with nano-LC-ESI-MS/MS analysis 70 different glycosylation sites within 41 different proteins were identified. Comparison with the Swiss-Prot database established that the majority of these 70 sites have not been specifically determined by previous research projects. With this approach including hydrazide bead affinity trapping, the immunoglobulin receptor G6f, which is known to couple to the Ras-mitogen-activated protein kinase pathway in the immune system, was shown here for the first time to be present in human platelets.

Amino Acid Sequence↗
PubMed2004

Absolute quantification strategies in proteomics based on mass spectrometry.

The strong need for quantitative information in proteomics has fueled the development of mass spectrometry-based analytical methods that are able to determine protein abundances. This article reviews mass spectrometry experiments aimed at providing an absolute quantification of proteins. The experiments make use of the isotope-dilution concept by spiking a known amount of synthetic, isotope-labeled reference peptide into the analyte sample. Quantification is achieved by comparing the mass spectrometry signal intensities of the reference with an endogenous peptide that is generated upon proteolytic cleavage of the target protein. In an analogous manner, the level of post-translational modification at a distinct residue within a target protein can be determined. Among the strengths of absolute quantification are low detection limits reaching subfemtomole levels, a high dynamic range spanning approximately five orders of magnitude, low requirements for sample clean-up, and a fast and straightforward method development. Recent studies have demonstrated the compatibility of absolute quantification with various mass spectrometry readout techniques and sample purification steps such as 1D gel electrophoresis, size-exclusion chromatography, isoelectric peptide focusing, strong cation exchange and reversed phase or affinity chromatography. Under ideal conditions, quantification errors and coefficients of variation below 5% have been reported. However, the fact that at the start of the experiment the analyte is a protein and the internal standard is a peptide, severe quantification errors may result due to the selection of unsuitable reference peptides and/or imperfect protein proteolysis. Within the ensemble of mass spectrometry-based quantification methods, absolute quantification is the method of choice in cases where absolute numbers, many repetitive experiments or precise levels of post-translational modifications are required for a few, preselected species of interest. Consequently, prominent application areas include biomarker quantification, the study of post-translational modifications such as phosphorylation or ubiquitination and the comparison of concentrations of interacting proteins.

Amino Acid Sequence↗
PubMed2005

Laser flash photolysis of hydrogen peroxide to oxidize protein solvent-accessible residues on the microsecond timescale.

Footprinting of proteins by hydroxyl radicals generated on the millisecond to minute timescales to probe protein surfaces suffers from the uncertainty that radical reactions cause the protein to unfold, exposing residues that are protected in the native protein. To circumvent this possibility, we developed a method using a 248 nm KrF excimer laser to cleave hydrogen peroxide at low concentrations (15 mM, 0.04%), affording hydroxyl radicals that modify the protein in less than a microsecond. In the presence of a scavenger (20 mM glutamine), the radical lifetimes decrease to approximately 1 microsecond, yet the reaction timescales are sufficient to provide significant oxidation of the protein. These times are arguably faster than super-secondary protein structure can unfold as a result of the modification. The radical formation step takes place in a nanoliter flow cell so that only one laser pulse irradiates each bolus of sample. The oxidation sites are located using standard analytical proteomics, requiring less than a nanomole of protein. We tested the method with apomyoglobin and observed modifications in accord with solvent accessibility data obtained from the crystal structure of holomyoglobin. Additionally, the results indicate that the F-helix is conformationally flexible in apomyoglobin, in accord with NMR results. We also find that the binding pocket is resistant to modifications, indicating that the protein pocket closes in the absence of the heme group-conclusions that cannot be drawn from current structural methods. When developed further, this method may enable the determination of protein-ligand interfaces, affinity constants, folding pathways, and regions of conformational flexibility.

Amino Acids↗
PubMed2003

A Bayesian networks approach for predicting protein-protein interactions from genomic data.

We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, and colocalization). In addition to de novo predictions, it can integrate often noisy, experimental interaction data sets. We observe that at given levels of sensitivity, our predictions are more accurate than the existing high-throughput experimental data sets. We validate our predictions with TAP (tandem affinity purification) tagging experiments. Our analysis, which gives a comprehensive view of yeast interactions, is available at genecensus.org/intint.

Bayes Theorem↗
PubMed2006

Integrated microfluidic devices with enhanced separation performance: application to phosphoproteome analyses of differentiated cell model systems.

This work reports on the application of a microfluidic device integrating nanoscale LC to nanoelectrospray MS (nano-LC-chip-MS) for the analysis of complex protein digests. Peak profile analyses of more than 700 peptide ions, reproducibly detected across replicate nano-LC-chip-MS runs (n = 5), indicated that the system provided RSD values of 0.24% on retention time, +/- 30 ppm on m/z measurement and +/- 30% variation on intensity over three orders of magnitude. RP adsorbant media with different alkyl chains and particle size packed in both trapping and separation channels were investigated to improve the chromatographic performance of this system. A two-fold improvement in chromatographic peak capacity was achieved using microfluidic devices comprising a 5 mircrom C3 trap with 2.5 microm C18 trap separation channel compared to the traditional 5 microm C18 stationary phase. Enhanced sample selectivity for the identification of phosphopeptides was obtained by combining immobilized metal affinity media prior to peptide separation on the RP microfluidic device. This system was evaluated in the context of differential phosphoproteome analyses to identify changes in signaling events and protein expression of human monocytes following the administration of phorbol ester.

Animals↗
PubMed2006

Rough set-based proteochemometrics modeling of G-protein-coupled receptor-ligand interactions.

G-Protein-coupled receptors (GPCRs) are among the most important drug targets. Because of a shortage of 3D crystal structures, most of the drug design for GPCRs has been ligand-based. We propose a novel, rough set-based proteochemometric approach to the study of receptor and ligand recognition. The approach is validated on three datasets containing GPCRs. In proteochemometrics, properties of receptors and ligands are used in conjunction and modeled to predict binding affinity. The rough set (RS) rule-based models presented herein consist of minimal decision rules that associate properties of receptors and ligands with high or low binding affinity. The information provided by the rules is then used to develop a mechanistic interpretation of interactions between the ligands and receptors included in the datasets. The first two datasets contained descriptors of melanocortin receptors and peptide ligands. The third set contained descriptors of adrenergic receptors and ligands. All the rule models induced from these datasets have a high predictive quality. An example of a decision rule is "If R1_ligand(Ethyl) and TM helix 2 position 27(Methionine) then Binding(High)." The easily interpretable rule sets are able to identify determinative receptor and ligand parts. For instance, all three models suggest that transmembrane helix 2 is determinative for high and low binding affinity. RS models show that it is possible to use rule-based models to predict ligand-binding affinities. The models may be used to gain a deeper biological understanding of the combinatorial nature of receptor-ligand interactions.

Algorithms↗
PubMed2005

Detection of human betaV-tubulin expression in epithelial cancer cell lines by tubulin proteomics.

Tubulin, the constitutive protein of microtubules, is a heterodimeric protein with an alpha and beta subunit, encoded in vertebrates by six and seven different genes, respectively. Each tubulin isotype can be identified by its divergent C-terminal sequence. Nevertheless, two groups of beta-tubulin isotypes can be distinguished by sequence alignment; one includes betaI-, betaII-, betaIVa-, and betaIVb-tubulin, and the other includes betaIII-, betaV-, and betaVI-tubulin. betaIII-tubulin overexpression has been associated with microtubule destabilization and resistance to Taxol. Recent data indicate that mouse betaV-tubulin overexpression in CHO cells results in profound microtubule disorganization and dependence of cells on Taxol for growth. Mouse and human betaV-tubulin sequences display several differences, such as their respective extreme C-terminus, suggesting that they may have different effects on microtubule stability and different affinities for drugs. When high-resolution isoelectric focusing, in-gel CNBr cleavage, and mass spectrometry were combined, we detected for the first time the betaV-tubulin protein in human cell lines and found that it was highly expressed in Hey, an epithelial ovarian cancer cell line. Our data confirm that human and rodent betaV-tubulins are distinct and indicate that, regardless of species, betaIII- and betaV-tubulin may be expressed in a complementary pattern at the protein level. Therefore, both betaIII- and betaV-tubulin expression levels should be systematically determined to assess the role of differential tubulin isotype expression in the response of tumors to drugs targeting microtubules.

Amino Acid Sequence↗
PubMed2001

Current trends in differential expression proteomics: isotopically coded tags.

Isotopically coded tag methodology holds significant promise for differential expression proteomic experiments. This methodology has the potential for high sensitivity, high coverage, and high throughput. Although significant technical advances have been made in the past year, this approach must be viewed as an emerging technique. Advances in sample fractionation, both at the protein and peptide level, and improved data acquisition schemes, will all be required before the full potential of the method is realized.

Affinity Labels↗
PubMed2004

Antibody arrays prepared by cutinase-mediated immobilization on self-assembled monolayers.

Antibody arrays hold considerable potential in a variety of applications including proteomics research, drug discovery, and diagnostics. Many of the schemes used to fabricate the arrays fail to immobilize the antibodies at a uniform density or in a single orientation; consequently, the immobilized antibodies recognize their antigens with variable efficiency. This paper describes a strategy to immobilize antibodies in a single orientation, with a controlled density, using the covalent interaction between cutinase and its suicide substrate. Protein fusions between cutinase and five antibodies of three different types (scFv, V(HH), and FN3) were prepared and immobilized upon self-assembled monolayers (SAMs) presenting a phosphonate capture ligand. The immobilized antibodies exhibit high affinity and selectivity for their target antigens, as monitored by surface plasmon resonance and fluorescence scanning. Furthermore, by changing the density of capture ligand on the SAM the density of the immobilized antibody could be controlled. The monolayers, which also present a tri(ethylene glycol) group, are inert to nonspecific adsorption of proteins and allow the detection of a specific antigen in a complex mixture. The demonstration of cutinase-directed antibody immobilization with insert SAMs provides a straightforward and robust method for preparing antibody chips.

Antibodies↗
PubMed2004

Femtomol sensitivity post-digest (18)O labeling for relative quantification of differential protein complex composition.

Stable isotope labeling (SIL) has emerged as a powerful tool to measure the relative quantitative differences between samples in many differential display-type proteomic applications. However, current SIL procedures tend to suffer from the fact that one needs to decide very early in a biochemical strategy whether or not a sample will be subjected to relative quantification. Typically, the entire strategy has to be adapted to the needs of the particular quantification method chosen which might limit the range of biochemical experiments amenable to quantification. Metabolic labeling approaches, albeit very sensitive, can only be applied to studies using appropriate cell culture systems which might not necessarily be compatible with the biological system under investigation. Chemical labeling of complex protein mixtures by, e.g., isotope-coded affinity tags (ICAT), can offer great simplification of protein mixtures but is restricted by the accessibility of the often few suitable peptides (i.e. cysteine containing peptides) for both protein identification and quantification. Here, we describe a post-digest (18)O-labeling method that can circumvent some of the above limitations by separating protein identification from quantification. An aliquot of all samples in a set can be used for rapid protein ID using, e.g., matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS). In a second step, relative quantification is performed using trypsin-catalyzed (18)O incorporation into all tryptic peptides. This two-stage procedure introduces significant experimental flexibility because it enables postponement of the decision about which pairs of samples from a given set of experiments are to be compared until after the protein ID stage. In-gel digested protein quantities between 50 fmol and 15 pmol are amenable to this new method, with a dynamic range of 1:10 within one sample. Accuracy for measured relative abundances is similar to those reported for other SIL strategies (errors typically <20%), and the method is applicable to protein samples from all kinds of tissue or cell culture. This paper presents quantification data for a set of standard proteins, as well as a study of differential complex formation around the NFkappaB transcription factor p65 following stimulation with TNF-alpha.

Isotope Labeling↗
PubMed2005

Phosphorylation state of postsynaptic density proteins.

The postsynaptic density (PSD) is an electron-dense structure located at the synaptic contacts between neurons. Its considerable complexity includes cytoskeletal and scaffold proteins, receptors, ion channels and signaling molecules, in line with the role of PSDs in signal transduction and processing. The phosphorylation state of components of the PSD is central to synaptic transmission and is known to play a role in synaptic plasticity, learning and memory. The presence of a range of kinases and phosphatases in the PSD defines potential key players in this context. However, the substrates that these enzymes target have not been fully identified to date. We analyzed the protein composition of purified PSD samples from adult mouse brains by strong cation exchange chromatography fractionation of a tryptic digest followed by nano-reverse phase liquid chromatography coupled with electrospray ionization-quadrupole time of flight tandem mass spectrometry. This led to the identification of 244 proteins. To gain an insight into the phosphoproteome of the PSD we then purified phosphorylated tryptic peptides by immobilized metal ion affinity chromatography. This approach for the specific enrichment of phosphopeptides resulted in the identification of 42 phosphoproteins in the PSD preparation, 39 of which are known PSD components. Here we present a total of 83 in vivo phosphorylation sites.

Animals↗
PubMed2004

Antibodies to soluble liver antigen and alpha-enolase in patients with autoimmune hepatitis.

BACKGROUND: Antibodies to a cytosolic soluble liver antigen (SLA) are specifically detected in patients with autoimmune hepatitis (AIH). The target of anti-SLA has been identified as a ~50 kDa UGA serine tRNA-associated protein complex (tRNP(Ser)Sec), through the screening of cDNA libraries. A recent report questioned the identity of tRNP(Ser)Sec as the real SLA antigen. The latter study identified alpha-enolase as a major anti-SLA target, through proteomic analysis. METHODS: In an attempt to explain the observed discrepancy we have investigated reactivity of SLA positive sera against alpha-enolase and tRNP(Ser)Sec using rat and primate liver homogenate and the recombinant antigens. Thirty-three serum samples, 11 from SLA-positive patients and 22 from SLA negative controls were investigated. SLA antibodies were detected by an inhibition ELISA and confirmed by immunoblot using human liver homogenate. Autoantibody reactivity was further evaluated using preparations of primate and rat liver homogenates. Anti-alpha-enolase antibody reactivity has been tested by immunoblot using recombinant alpha-enolase. An affinity purified goat polyclonal anti-alpha-enolase IgG antibody was used as reference serum sample. Anti-tRNP(Ser)Sec antibody reactivity was detected by ELISA or dot blot using recombinant tRNP(Ser)Sec antigen. RESULTS AND DISCUSSION: The affinity purified IgG antibody directed to human alpha-enolase gave a band of approximately 48 kDa in both human and rat liver homogenates. A high titre anti-tRNP(Ser)Sec antibody serum gave a single band of ~50 kDa in both liver preparations. All but one anti-SLA antibody positive sera reacted with a ~50 kDa but none immunofixed a 48 kDa band. All anti-SLA antibody positive sera reacted strongly with the recombinant full length tRNP(Ser)Sec protein. None of the anti-SLA negative sera reacted with tRNP(Ser)Sec. Anti-SLA positive, and anti-SLA negative sera reacted equally against recombinant alpha-enolase by immunoblot. Pre-incubation of anti-SLA positive sera with tRNP(Ser)Sec completely abolished the 50 kDa band. The findings of the present study indicate that alpha-enolase and tRNP(Ser)Sec are both expressed in primate and rat liver and have a respective MW of 48 and 50 kDa. They also show that anti-tRNP(Ser)Sec - but not anti-alpha-enolase - correlates with anti-SLA antibody reactivity. CONCLUSION: Our findings indicate that tRNP(Ser)Sec is the most likely target of anti-SLA.

Journal Article↗
PubMed2006

Antibody-like peptides as a novel purification tool for drugs design.

New pharmaceutical approaches, such as biotechnology industry, genomic and proteomic studies, require the development of new analytical and preparative tools that should allow the resolution and the characterisation of complex sets of molecule mixtures in a high-throughput mode with the isolation of a single substance from complex matrices in a high degree of purity, low costs and wide availability. In this review we discuss the design of a tailor-made peptide by focusing our attention on the bioinformatic techniques and combinatorial approaches. Then synthesis, purification and characterisation of peptides with recognition properties are discussed by considering different approaches and their fitness to drug design. Moreover, the development of affinity devices and the discussion of their characteristics to optimise the purification phase are reported. Applications of peptide ligands that bind pharmaceutical compounds (i.e. therapeutic proteins, monoclonal antibodies, hormones) are described and analytical tools mentioned and evaluated. Future perspectives, in particular alternative applications of peptide ligands and their substitution with peptidomimetic compounds, are described.

Animals↗
PubMed2005

Exploring the charge space of protein-protein association: a proteomic study.

The rate of association of a protein complex is a function of an intrinsic basal rate and of the magnitude of electrostatic steering. In the present study we analyze the contribution of electrostatics towards the association rate of proteins in a database of 68 transient hetero-protein-protein complexes. Our calculations are based on an upgraded version of the computer algorithm PARE, which was shown to successfully predict the impact of mutations on k(on) by calculating the difference in Columbic energy of interaction of a pair of proteins. HyPare (http://bip.weizmann.ac.il/HyPare), automatically calculates the impact of mutations on a per-residue basis for all residues of a protein-protein interaction, achieving a precision similar to that of PARE. Our calculations show that electrostatics play a marginal role (<10 fold) in determining the rate of association for about half of the complexes in the database. Strong electrostatic steering, which results in an increase of over 100-fold in k(on), was calculated for about 25% of the complexes. Applying HyPare to all 68 complexes in the database shows that a small number of residues are hotspots for association. About 40% of the hotspots are calculated to increase the rate of association upon mutation, and thus increase binding affinity. This is a much higher ratio than found for hotspots for dissociation, where the large majority cause weaker binding. About 40% of the hotspots are located outside the physical boundary of the binding site, making them ideal candidates for protein engineering. Our data shows that a majority of protein-protein complexes are not optimized for fast association. Hotspots are not evenly distributed between all types of amino acids. About 75% of all hotspots are of charged residues. This is understandable, as a charge-reverse mutant changes the total charge by 2. The small number of hydrophobic residues that are hotspots upon mutation probably relates to their location and surrounding. For 18 out of the 68 complexes in the database, experimental values of k(on) are available. For these, a basal rate of association was calculated to be in the range of 10(4)M(-1)s(-1) to 10(7)M(-1)s(-1). Some of these rates were verified independently from experimental mutant data. The basal rates were correlated with the size of the proteins and the shape of the interface.

Algorithms↗
PubMed2005

Increasing the molecular contacts between maurotoxin and Kv1.2 channel augments ligand affinity.

Scorpion toxins interact with their target ion channels through multiple molecular contacts. Because a "gain of function" approach has never been described to evaluate the importance of the molecular contacts in defining toxin affinity, we experimentally examined whether increasing the molecular contacts between a toxin and an ion channel directly impacts toxin affinity. For this purpose, we focused on two scorpion peptides, the well-characterized maurotoxin with its variant Pi1-like disulfide bridging (MTX(Pi1)), used as a molecular template, and butantoxin (BuTX), used as an N-terminal domain provider. BuTX is found to be 60-fold less potent than MTX(Pi1) in blocking Kv1.2 (IC(50) values of 165 nM for BuTX versus 2.8 nM for MTX(Pi1)). Removal of its N-terminal domain (nine residues) further decreases BuTX affinity for Kv1.2 by 5.6-fold, which is in agreement with docking simulation data showing the importance of this domain in BuTX-Kv1.2 interaction. Transfer of the BuTX N-terminal domain to MTX(Pi1) results in a chimera with five disulfide bridges (BuTX-MTX(Pi1)) that exhibits 22-fold greater affinity for Kv1.2 than MTX(Pi1) itself, in spite of the lower affinity of BuTX as compared to MTX(Pi1). Docking experiments performed with the 3-D structure of BuTX-MTX(Pi1) in solution, as solved by (1)H-NMR, reveal that the N-terminal domain of BuTX participates in the increased affinity for Kv1.2 through additional molecular contacts. Altogether, the data indicate that acting on molecular contacts between a toxin and a channel is an efficient strategy to modulate toxin affinity.

Amino Acid Sequence↗
PubMed2006

Phosphoproteomic analysis of the human pituitary.

The pituitary is the central endocrine gland that regulates the functions of various target organs in the human body. Because of the pivotal regulatory role of the pituitary, it is essential to define on a global scale the components of the pituitary protein machinery, including a comprehensive characterization of the post-translational modifications of the pituitary proteins. Of particular interest is the examination of the phosphorylation status of the pituitary in health and disease. Towards the goal of global profiling of pituitary protein phosphorylation, we report here the application of the in-gel IEF-LC-MS/MS approach to the study of the pituitary phosphoproteome. The analytical strategy combined isoelectric focusing in immobilized pH gradient strips with immobilized metal ion affinity chromatography and mass spectrometry. With this method, a total of 50 phosphorylation sites were characterized in 26 proteins. Because the investigation involved primary tissue, the findings provide a direct glimpse into the phosphoprotein machinery operating within the human pituitary tissue microenvironment.

Adrenocorticotropic Hormone↗
PubMed2006

Novel probes for protein chip applications.

Protein microarrays (protein chips), due to their high throughput, have great potential to reduce the cycle time of drug discovery and to improve the efficiency of medical diagnostics. A great deal of effort has been made to facilitate the development of protein chips, such as the antibody microarrays. High-throughput fabrication of purified high-affinity probes is now one of the bottlenecks for protein microarrays. We discuss here three novel strategies to fabricate probes, namely, single chain antibodies displayed by phage, protein-oligonucleotide conjugates, and aptamers, which are promising in the protein chip technology.

Antibodies↗