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At least 343 records · Page 19Linked to original sources
PubMed2006

Affinity-tags are removed from Cladosporium fulvum effector proteins expressed in the tomato leaf apoplast.

Cladosporium fulvum (syn. Passalora fulva) is a biotrophic fungal pathogen that causes leaf mould on tomato (Solanum esculentum). The fungus grows exclusively in the tomato leaf apoplast where it secretes several small (<15 kDa) cysteine-rich proteins that are thought to play a role in disease establishment. To investigate the role of these proteins, and to identify their in planta targets, a targeted proteomics approach was undertaken. C. fulvum proteins were expressed as recombinant fusion proteins carrying various affinity-tags at either their C- or N-terminus. Although these fusion proteins were correctly expressed and secreted into the leaf apoplast, detection of affinity-tagged C. fulvum proteins failed, and affinity purification did not result in the recovery of these proteins. However, when using C. fulvum effector protein-specific antibodies, specific signals were obtained for the different proteins. It is concluded that the stability of the in planta expressed recombinant fusion proteins is insufficient, which results in removal of the affinity-tag from the fusion proteins, irrespective of the C- or N-terminal fusion or the nature of the affinity-tag. Similar phenomena were observed when the fusion proteins were expressed in other Solanaceous species, but not when expressed in Arabidopsis thaliana.

Affinity Labels↗
PubMed2006

Utility of cleavable isotope-coded affinity-tagged reagents for quantification of low-copy proteins induced by methylprednisolone using liquid chromatography/tandem mass spectrometry.

Gene expression changes underlie important biological and pharmacological responses. Although mRNA expression profiling is routine, quantification of low-abundance proteins, which typically represent key effectors of responses, remains challenging. A novel strategy was developed for sensitive and accurate quantification of low-abundance proteins in highly complex biological matrixes. First, the cysteine specificity of cleavable isotope-coded affinity tags (cICAT) was employed to reduce the complexity of the digested proteome of tissue homogenates and to improve the quantification of low-abundance proteins. Second, cICAT-treated tissue samples were analyzed on a capillary LC coupled to an ion trap MS to screen for the subset of cICAT-peptides, derived from target proteins of interest, that was successfully labeled and retrieved. Third, putatively identified peptides derived from target proteins were synthesized, cICAT-labeled, and used both to optimize multiple reactions monitoring (MRM) analysis and to confirm chromatographic retention time and fragmentation pattern. Finally, batch quantification of target peptides was performed using MRM on a LC/triple-quad MS/MS using (12)C- (control) and (13)C (experimental)-cICAT-labeled tissue mixtures. The utility of this method was demonstrated by elucidating the time-course of tyrosine aminotransferase induction in the liver of rats following treatment with the corticosteroid methylprednisolone (MPL). This approach significantly improved quantitative sensitivity, and the linear range was 10-fold greater than published previously. An additional advantage is that archived samples may be reinterrogated to investigate the regulation of additional targets that become of interest. Stored samples were sucessfully reinterrogated to monitor the induction of ornithine decarboxylase, which is also an MPL-induced protein. To our knowledge, this is the first report of an ICAT-based method that is capable of quantifying low-abundance proteins in highly complex samples, such as tissue homogenates. The approach enables simultaneous quantification of multiple effector proteins induced by biological or pharmacological stimuli, and the processed samples can be interrogated repeatedly as additional targets of interest arise.

Affinity Labels↗
PubMed2003

Use of proteomics methodology to evaluate inflammatory protein expression in tendinitis.

In previous studies we established a rat model of acute tendinitis including functional and mechanical measures of healing. Achilles' tendinitis was induced by injection of collagenase, an enzyme that produces localized fiber digestion and edema formation. As quantitative measures of tissue inflammation, hypercellularity and edema were evaluated in injured tendons in comparison with controls. Using the rat tendinitis model, we have applied isotope-coded affinity tag analysis (ICAT) methodology to indicate localized tendon healing by quantitating protein expression. This novel proteomics method allows detection of subtle differences in protein levels that provide a detailed picture of tendinitis healing. The method involves a new class of chemical linkers used to differentially label cysteine residues from similar peptides in control and treated protein samples with heavy (deuterium off of backbone) and light (hydrogen off of backbone) ICAT reagents that are otherwise chemically identical. Proteins were extracted under liquid nitrogen from control untreated or injured Achilles' tendons 72 hours after collagenase-injection. These proteins were digested with endoproteinase Glu-C and trypsin and the resulting peptide mixtures were evaluated using reverse-phase C18 HPLC and Tristricine SDS-polyacrylamide gel electrophoresis. The two ICAT-modified peptide populations were mixed, affinity-purified and analyzed using microcapillary liquid chromatography and electrospray ionization tandem mass-spectroscopy. The process resulted in relative abundance and charge-to-mass ratio data used in conjunction with database searching to identify proteins expressed differentially in the two treatment groups. By analyzing different time periods in the healing process, an accurate model of the healing rat tendon can be made.

Achilles Tendon↗
PubMed2006

A network-based analysis of polyanion-binding proteins utilizing yeast protein arrays.

The high affinity of certain cellular polyanions for many proteins (polyanion-binding proteins (PABPs)) has been demonstrated previously. It has been hypothesized that such polyanions may be involved in protein structure stabilization, stimulation of folding through chaperone-like activity, and intra- and extracellular protein transport as well as intracellular organization. The purpose of the proteomics studies reported here was to seek evidence for the idea that the nonspecific but high affinity interactions of PABPs with polyanions have a functional role in intracellular processes. Utilizing yeast protein arrays and five biotinylated cellular polyanion probes (actin, tubulin, heparin, heparan sulfate, and DNA), we identified proteins that interact with these probes and analyzed their structural and amino acid sequence requirements as well as their predicted functions in the yeast proteome. We also provide evidence for the existence of a network-like system for PABPs and their potential roles as critical hubs in intracellular behavior. This investigation takes a first step toward achieving a better understanding of the nature of polyanion-protein interactions within cells and introduces an alternative way of thinking about intracellular organization.

Amino Acid Sequence↗
PubMed2003

Application of proteomics technology to the field of neurotrauma.

Near-completion of the Human Genome Project has stimulated scientists to begin looking for the next step in unraveling normal and abnormal functions within biological systems. Consequently, there is new focus on the role of proteins in these processes. Proteomics is a burgeoning field that may provide a valuable approach to evaluate the post-traumatic central nervous system (CNS). Although we cannot provide a comprehensive assessment of all methods for protein analysis, this report summarizes some of the newer proteomic technologies that have propelled this field into the limelight and that are available to most researchers in neurotrauma. Three technical approaches (two-dimensional gel electrophoresis, direct analysis by mass spectrometry, including two-dimensional chromatography coupled to mass spectrometry and isotope coded affinity tags, and antibody technologies) are reviewed, and their advantages and disadvantages presented. A discussion of proteomic technology in the context of brain and spinal cord trauma follows, addressing current and future challenges. Proteomics will likely be very useful for developing diagnostic predictors after CNS injury and for mapping changes in proteins after injury in order to identify new therapeutic targets. Neurotrauma results in complex alterations to the biological systems within the nervous system, and these changes evolve over time. Exploration of the "new nervous system" that follows injury will require methods that can both fully assess and simplify this complexity.

Antibodies↗
PubMed2002

Mass spectrometry in coupling with affinity capture-release and isotope-coded affinity tags for quantitative protein analysis.

Affinity capture-release electrospray ionization mass spectrometry (ACESIMS) and isotope-coded affinity tags (ICAT) are two recently introduced techniques for the quantitation of protein activity and content with applications to clinical enzymology and functional proteomics, respectively. One common feature of these methods is that they use biotinylated tags that function as molecular handles for highly selective and reversible affinity capture of conjugates from complex biological mixtures such as cell homogenates and sub-cellular organelles. ACESIMS uses synthetic substrate conjugates specifically to target cellular enzymes that, when deficient, are the cause of genetic diseases. Multiplex determination of enzyme activities is used for the diagnosis of lysosomal storage diseases. The ICAT method relies on selective conjugation of cysteine thiol groups in proteins, followed by enzymatic digestion and quantitative analysis of peptide conjugates by mass spectrometry. Another common feature of the ACESIMS and ICAT approaches is that both use conjugates labeled with stable heavy isotopes as internal standards for quantitation. Selected applications of the ACESIMS and ICAT techniques are presented that include molecular-level diagnosis of genetic diseases in children and quantitative determination of protein expression in cells.

Affinity Labels↗
PubMed2004

Untangling multi-gene families in plants by integrating proteomics into functional genomics.

The classification and study of gene families is emerging as a constructive tool for fast tracking the elucidation of gene function. A multitude of technologies can be employed to undertake this task including comparative genomics, gene expression studies, sub-cellular localisation studies and proteomic analysis. Here we focus on the growing role of proteomics in untangling gene families in model plant species. Proteomics can specifically identify the products of closely related genes, can determine their abundance, and coupled to affinity chromatography and sub-cellular fractionation studies, it can even provide location within cells and functional assessment of specific proteins. Furthermore global gene expression analysis can then be used to place a specific family member in the context of a cohort of co-expressed genes. In model plants with established reverse genetic resources, such as catalogued T-DNA insertion lines, this gene specific information can also be readily used for a wider assessment of specific protein function or its capacity for compensation through assessing whole plant phenotypes. In combination, these resources can explore partitioning of function between members and assess the level of redundancy within gene families.

Arabidopsis↗
PubMed2006

Recent applications of affinity interactions in capillary electrophoresis.

Systems biology depends on a comprehensive assignment and characterization of the interactions of proteins and polypeptides (functional proteomics) and of other classes of biomolecules in a given organism. High-capacity screening methods are in place for ligand capture and interaction screening, but a detailed dynamic characterization of molecular interactions under physiological conditions in efficiently separated mixtures with minimal sample consumption is presently provided only by electrophoretic interaction analysis in capillaries, affinity CE (ACE). This has been realized in different fields of biology and analytical chemistry, and the resulting advances and uses of ACE during the last 2.5 years are covered in this review. Dealing with anything from small divalent metal ions to large supramolecular assemblies, the applications of ACE span from low-affinity binding of broad specificity being exploited in optimizing selectivity, e.g., in enantiomer analysis to miniaturized affinity technologies, e.g., for fast processing immunoassay. Also, approaches that provide detailed quantitative characterization of analyte-ligand interaction for drug, immunoassay, and aptamer development are increasingly important, but various approaches to ACE are more and more generally applied in biological research. In addition, the present overview emphasizes that distinct challenges regarding sensitivity, parallel processing, information-rich detection, interfacing with MS, analyte recovery, and preparative capabilities remain. This will be addressed by future technological improvements that will ensure continuing new applications of ACE in the years to come.

Animals↗
PubMed2004

Quantitative profiling of LNCaP prostate cancer cells using isotope-coded affinity tags and mass spectrometry.

Androgens are involved in the pathogenesis of diseases including adenocarcinoma of the prostate. These hormones are important for growth, maintenance, and integrity of structure and function of the prostate. Androgen-deprivation is currently the only effective systemic therapy for prostate cancer but the effects of androgens on the proteome are still poorly described. Here we quantitatively profile changes in the proteome of LNCaP human prostate cancer cells in response to androgen using the newly developed isotope-coded affinity tag (ICAT) labeling and two-dimensional liquid chromatography-tandem mass spectroscopy (2-D LC-MS/MS). ICAT enables the concurrent identification and comparative quantitative analysis of proteins present in various biological samples including human cell and tissue extracts. Quantification and identification of 139 proteins in complex protein mixtures obtained from androgen-stimulated and unstimulated LNCaP cells were achieved. Changes in levels of 77 proteins in response to androgens were detected. Some of these proteins have been previously reported to be regulated by androgens and include spermine synthase, fatty acid synthase and calreticulin precursor. A large number of proteins that have not been previously reported to be expressed in prostate cells were also quantitatively identified. Examples of these include members of the dual specificity protein phosphatase subfamily, "similar" to hypothetical protein DKFZp434B0328.1, "similar" to 14-3-3 protein zeta and "similar" to hypothetical protein 458, components of the actin cytoskeleton and a range of unknown/uncharacterized proteins. This catalogue of proteins provides an overview of the proteome of prostate cancer cells and the global changes that occur in response to androgens.

Androgens↗
PubMed2006

Protein array staining methods for undefined protein content, manufacturing quality control, and performance validation.

Methods to assess the quality and performance of protein microarrays fabricated from undefined protein content are required to elucidate slide-to-slide variability and interpolate resulting signal intensity values after an interaction assay. We therefore developed several simple total- and posttranslational modification-specific, on-chip staining methods to quantitatively assess the quality of gel element protein arrays manufactured with whole-cell lysate in vitro protein fractions derived from two-dimensional liquid-phase fractionation (PF2D) technology. A linear dynamic range of at least 3 logs was observed for protein stains and immobilized protein content, with a lower limit of detection at 8 pg of protein per gel element with Deep Purple protein stain and a field-portable microarray imager. Data demonstrate the successful isolation, separation, transfer, and immobilization of putative transmembrane proteins from Yersinia pestis KIM D27 with the combined PF2D and gel element array method. Internal bovine serum albumin standard curves provided a method to assess on-chip PF2D transfer and quantify total protein immobilized per gel element. The basic PF2D array fabrication and quality assurance/quality control methods described here therefore provide a standard operating procedure and basis for developing whole-proteome arrays for interrogating host-pathogen interactions, independent of sequenced genomes, affinity tags, or a priori knowledge of target cell composition.

Animals↗
PubMed2000

The use of recombinant antibodies in proteomics.

Recombinant antibodies are becoming increasingly important in the field of proteomics. Recent advances include the development of large phage-antibody libraries that contain high-affinity binders to almost any target protein, and new methods for high-throughput selection of antibody-antigen interactions. Coupled with a range of new screening technologies that use high-density antibody arrays to identify differentially expressed proteins, these antibody libraries can be applied to whole proteome analysis.

Antibodies, Monoclonal↗
PubMed2004

Hydrophilic affinity isolation and MALDI multiple-stage tandem mass spectrometry of glycopeptides for glycoproteomics.

In glycoproteomics, key structural issues, protein identification, locations of glycosylation sites, and evaluation of the glycosylation site microheterogeneity should be easily evaluated in a large number of glycoproteins, while mass spectrometry (MS) provides substantial information about individual purified glycoproteins. Considering that structural issues are elucidated by studying glycopeptides and that the tandem MS of a tryptic peptide composed of several amino acid residues is enough for protein identification, construction of an MS-based method handling tryptic glycopeptides would be of considerable benefit in research. To this end, a simple and efficient method, utilizing hydrophilic binding of carbohydrate matrixes such as cellulose and Sepharose to oligosaccharides, was successfully applied to the isolation of tryptic glycopeptides. Both peptide and oligosaccharide structures were elucidated by multiple-stage tandem MS (MS(n)) of the ions generated by matrix-assisted laser desorption/ionization (MALDI), as follows. The MALDI ion trap mass spectrum of a tryptic glycopeptide mixture from N-linked glycoproteins was composed of the [M + H]+ ions of component glycopeptides. Collision-induced dissociation (CID) of the glycopeptide [M + H]+ ion generated saccharide-spaced peaks, with an interval of, for example, 146, 162, and 203 Da, and their fragment ions corresponding to the peptide and peptide + N-acetylglucosamine (GlcNAc) species in the MS2 spectrum. The saccharide-spaced ladder served to outline oligosaccharide structures, which were then selected as precursors for subsequent MS(n) analyses. The peptide or peptide + GlcNAc ions in the MS2 spectrum or the corresponding ions abundant in the MS1 spectrum were subjected to CID for determination of peptide sequences, to identify proteins and their glycosylation sites. The strategy, isolation of glycopeptides followed by MS(n) analysis, efficiently characterized the structures of beta2-glycoprotein I with four N-glycosylation sites and was applied to an analysis of total serum glycoproteins.

Amino Acid Sequence↗
PubMed2006

Semiautomated high-sensitivity profiling of human blood serum glycoproteins through lectin preconcentration and multidimensional chromatography/tandem mass spectrometry.

We describe an effective analytical approach to identify trace glycoproteins in a small volume of human serum. The system is based on automatable affinity enrichment through silica-based lectin microcolumns and a further separation of the retained glycoproteins on a reversed-phase liquid chromatography with superficially porous packing, operating at high temperature. The fractionated sample is further directed into a 96-well plate for trypsinization and LC-MS/MS analysis. Using a major-component depleted blood serum (16 microg total protein), we were able to identify 271 glycoproteins through this analytical system.

Chromatography, Affinity↗
PubMed2002

Multidimensional separations for protein/peptide analysis in the post-genomic era.

Proteomics is the study of all or part of the protein complement of genes in an organism, often involving the analysis of complex protein/peptide samples. Such complex samples are beyond the separation capacity of 1-D separation techniques. This review describes several multidimensional separations for proteins and peptides. First, several variants of 2-D liquid chromatography (2DLC) are reviewed, including coupled size exclusion-reversed phase, ion exchange-reversed phase, and reversed phase-reversed phase chromatography. Second, we describe coupled liquid chromatography and capillary electrophoresis methods. Finally, a multidimensional protein identification technique (MudPIT) is explained in detail. Each of the described techniques has a much higher separation capacity than 1-D methods and can potentially be automated for high-throughput experiments. In particular, MudPIT takes advantage of both the high separation capacity of 2DLC and the powerful peptide characterization ability of tandem mass spectrometry to analyze complex protein samples. Additional applications and developments of multidimensional liquid separations for proteomics are expected in the future.

Chromatography, Affinity↗
PubMed2003

Virtual screening on natural products for discovering active compounds and target information.

Natural products, containing inherently large-scale structural diversity than synthetic compounds, have been the major resources of bioactive agents and will continually play as protagonists for discovering new drugs. However, how to access this diverse chemical space efficiently and effectively is an exciting challenge for medicinal chemists and pharmacologists. While virtual screening, which has shown a great promise in drug discovery, will play an important role in digging out lead (active) compounds from natural products. This review focuses on the strategy of virtual screening based on molecular docking and, with successful examples from our laboratory, illustrates the efficiency of virtual screening in discovering active compounds from natural products. On the other hand, the sequencing of the human genome and numerous pathogen genomes has resulted in an unprecedented opportunity for discovering potential new drug targets. Chemogenomics has appeared as a new technology to initiate target discovery by using active compounds as probes to characterize proteome functions. Natural products are the ideal probes for such research. Binding affinity fingerprint is a powerful chemogenomic descriptor to characterize both small molecules and pharmacologically relevant proteins. Therefore, this review also discusses binding affinity fingerprint strategy for identifying target information from the genomic data by using natural products as the probes.

Biological Products↗
PubMed2004

Chemical proteomic analysis reveals alternative modes of action for pyrido[2,3-d]pyrimidine kinase inhibitors.

Small molecule inhibitors belonging to the pyrido[2,3-d]pyrimidine class of compounds were developed as antagonists of protein tyrosine kinases implicated in cancer progression. Derivatives from this compound class are effective against most of the imatinib mesylate-resistant BCR-ABL mutants isolated from advanced chronic myeloid leukemia patients. Here, we established an efficient proteomics method employing an immobilized pyrido[2,3-d]pyrimidine ligand as an affinity probe and identified more than 30 human protein kinases affected by this class of compounds. Remarkably, in vitro kinase assays revealed that the serine/threonine kinases Rip-like interacting caspase-like apoptosis-regulatory protein kinase (RICK) and p38alpha were among the most potently inhibited kinase targets. Thus, pyrido[2,3-d]pyrimidines did not discriminate between tyrosine and serine/threonine kinases. Instead, we found that these inhibitors are quite selective for protein kinases possessing a conserved small amino acid residue such as threonine at a critical site of the ATP binding pocket. We further demonstrated inhibition of both p38 and RICK kinase activities in intact cells upon pyrido[2,3-d]pyrimidine inhibitor treatment. Moreover, the established functions of these two kinases as signal transducers of inflammatory responses could be correlated with a potent in vivo inhibition of cytokine production by a pyrido[2,3-d]pyrimidine compound. Thus, our data demonstrate the utility of proteomic methods employing immobilized kinase inhibitors for identifying new targets linked to previously unrecognized therapeutic applications.

Adenosine Triphosphate↗
PubMed2006

Plasma proteomics of lung cancer by a linkage of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis.

To investigate aberrant plasma proteins in lung cancer, we compared the proteomic profiles of serum from five lung cancer patients and from four healthy volunteers. Immuno-affinity chromatography was used to deplete highly abundant plasma proteins, and the resulting plasma samples were separated into eight fractions by anion-exchange chromatography. Quantitative protein profiles of the fractionated samples were generated by two-dimensional difference gel electrophoresis, in which the experimental samples and the internal control samples were labeled with different dyes and co-separated by two-dimensional polyacrylamide gel electrophoresis. This approach succeeded in resolving 3890 protein spots. For 364 of the protein spots, the expression level in lung cancer was more than twofold different from that in the healthy volunteers. These differences were statistically significant (Student's t-test, p-value less than 0.05). Mass spectrometric protein identification revealed that the 364 protein spots corresponded to 58 gene products, including the classical plasma proteins and the tissue-leakage proteins catalase, clusterin, ficolin, gelsolin, lumican, tetranectin, triosephosphate isomerase and vitronectin. The combination of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis provides a valuable tool for serum proteomics in lung cancer.

Blotting, Western↗
PubMed2005

Towards a human proteome atlas: high-throughput generation of mono-specific antibodies for tissue profiling.

A great need exists for the systematic generation of specific antibodies to explore the human proteome. Here, we show that antibodies specific to human proteins can be generated in a high-throughput manner involving stringent affinity purification using recombinant protein epitope signature tags (PrESTs) as immunogens and affinity-ligands. The specificity of the generated affinity reagents, here called mono-specific antibodies (msAb), were validated with a novel protein microarray assay. The success rate for 464 antibodies generated towards human proteins was more than 90% as judged by the protein array assay. The antibodies were used for parallel profiling of patient biopsies using tissue microarrays generated from 48 human tissues. Comparative analysis with well-characterized monoclonal antibodies showed identical or similar specificity and expression patterns. The results suggest that a comprehensive atlas containing extensive protein expression and subcellular localization data of the human proteome can be generated in an efficient manner with mono-specific antibodies.

Animals↗