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PubMed2002

Functional organization of the yeast proteome by systematic analysis of protein complexes.

Most cellular processes are carried out by multiprotein complexes. The identification and analysis of their components provides insight into how the ensemble of expressed proteins (proteome) is organized into functional units. We used tandem-affinity purification (TAP) and mass spectrometry in a large-scale approach to characterize multiprotein complexes in Saccharomyces cerevisiae. We processed 1,739 genes, including 1,143 human orthologues of relevance to human biology, and purified 589 protein assemblies. Bioinformatic analysis of these assemblies defined 232 distinct multiprotein complexes and proposed new cellular roles for 344 proteins, including 231 proteins with no previous functional annotation. Comparison of yeast and human complexes showed that conservation across species extends from single proteins to their molecular environment. Our analysis provides an outline of the eukaryotic proteome as a network of protein complexes at a level of organization beyond binary interactions. This higher-order map contains fundamental biological information and offers the context for a more reasoned and informed approach to drug discovery.

Cells, Cultured↗
PubMed2006

Identification of glycoproteins in human cerebrospinal fluid with a complementary proteomic approach.

Biomarkers are pressingly needed to assist with the clinical diagnosis of neurodegenerative diseases and/or the monitoring of disease progression. Glycoproteins are enriched in bodily fluids such as human cerebrospinal fluid (CSF), an ideal source for discovering biomarkers due to its proximity to the central nervous system (CNS), and consequently can serve as diagnostic and/or therapeutic markers for CNS diseases. We report here an in-depth identification of glycoproteins in human CSF using a complementary proteomic approach which integrated hydrazide chemistry and lectin affinity column for glycoprotein enrichment, followed by multidimensional chromatography separation and tandem mass spectrometric analysis. Using stringent criteria, a total of 216 glycoproteins, including many low-abundance proteins, was identified with high confidence. Approximately one-third of these proteins was already known to be relevant to the CNS structurally or functionally. This investigation, for the first time, not only categorized many glycoproteins in human CSF but also expanded the existing overall CSF protein database.

Adult↗
PubMed2025

Hepatocyte proteome destabilization and novel targets for PFASs unveiled through combined thermal proteome profiling and deep transfer learning.

Identifying protein targets for per- and polyfluoroalkyl substances (PFASs) is essential to understand their toxicity and health risks. However, knowledge about their interacting proteins is limited since reliable identification methods are lacking. We developed an integrated approach combining thermal proteome profiling (TPP) and deep transfer learning (DTL) modeling to efficiently identify cellular targets of PFAS. TPP measured PFAS binding proteins and the affinities by nanospray liquid chromatography tandem mass spectrometry, while DTL models were constructed to predict PFAS-protein affinities using neural network algorithms. TPP results revealed that PFASs uniquely destabilized the proteome of HepG2 cells, unlike the stabilizing effects by other xenobiotics. Key protein targets for three representative PFASs (PFOA, GenX and Novec 649) were identified, which exhibited weak binding affinities (median EC50 ≈ 30 μM). The number of protein targets increased with molecular weights among the three PFASs. The DTL model achieved a higher Pearson correlation coefficient of 0.89, and reduced mean squared errors by 54 % over previous models for drug-protein interactions. Notably, TPP and DTL jointly pinpointed ribosomal proteins as novel targets of GenX, potentially linking it to cell apoptosis through disrupted protein synthesis. Biolayer interferometry validated GenX binding to RPL4 protein, driven by electrostatic interactions and halogen bonds. This integrated approach effectively uncovers novel PFASs targets, advancing insights into their adverse health effects.

Humans↗
PubMed2004

Tracking cell signaling protein expression and phosphorylation by innovative proteomic solutions.

The most challenging and fruitful biomedical research endeavor of this decade will be the mapping of cell signaling systems and establishing their linkages to normal and disease-related processes. Amongst other things, the Human Genome Sequencing Project has greatly facilitated MALDI-TOF mass spectrometry identification of proteins that have been resolved by standard 2D gel electrophoresis. However, the low abundance of protein kinases and other signal transduction proteins has rendered their analyses particularly problematic without some means of purification and enrichment from cell and tissue lysates. Antibodies have been the most specific affinity probes for tracking target proteins, but their variable quality and high cost preclude their deployment in most discovery-based proteomics studies. Current multi-immunoblotting techniques can permit the probing of a single mini-SDS-PAGE gel with 50 or more antibodies at a time to monitor large changes in the expression and phosphorylation states of signaling proteins. The development of new affinity probes to replace antibodies is necessary to drive large scale proteomics studies. Such affinity probes could include short peptide antibody mimetics (PAM's) and oligonucleotide aptamers that when spotted in 2D array formats (e.g. membrane macroarrays, glass microarrays) or presented on specific beads (e.g. Luminex beads) can capture target proteins for their specific enrichment. The bound target proteins can then be detected using reporter antibodies or other specific probes for their quantitation by high throughput systems. These new proteomics methodologies will accelerate assessment of specific protein expression, post-translational modification, protein-protein interactions and protein-drug interactions to provide a more holistic view of cellular operations and how they might be manipulated under pathological circumstances.

Animals↗
PubMed2004

A proteome-wide approach identifies sumoylated substrate proteins in yeast.

The ubiquitin-related protein SUMO-1 is covalently attached to proteins by SUMO-1 ligases. We have performed a proteome-wide analysis of sumoylated substrate proteins in yeast. Employing the powerful affinity purification of Protein A-Smt3 (Smt3 is the yeast homologue of SUMO-1) from yeast lysates in combination with tandem liquid chromatography mass spectrometry, we have isolated potential Smt3-carrying substrate proteins involved in DNA replication and repair, chromatin remodeling, transcription activation, Pol-I, Pol-II, and Pol-III transcription, 5' pre-mRNA capping, 3' pre-mRNA processing, proteasome function, and tubulin folding. Employing tandem affinity purifications or a rapid biochemical assay referred to as "SUMO fingerprint," we showed that several subunits of RNA polymerases I, II, and III, members of the transcription repression and chromatin remodeling machineries previously not known to be sumoylated, are modified by SUMO-1. Thus, the identification of a broad range of SUMO-1 substrate proteins is expected to lead to further insight into the regulatory aspects of sumoylation.

Chromatography, Affinity↗
PubMed2003

A novel proteomic screen for peptide-protein interactions.

Regulated interactions between short, unstructured amino acid sequences and modular protein domains are central to cell signaling. Here we use synthetic peptides in "active" (e.g. phosphorylated) and "control" (e.g. non-phosphorylated) forms as baits in affinity pull-down experiments to determine such interactions by quantitative proteomics. Stable isotope labeling by amino acids in cell culture distinguishes specific binders directly by the isotope ratios determined by mass spectrometry (Blagoev, B., Kratchmarova, I., Ong, S.-E., Nielsen, M., Foster, L. J., and Mann, M. (2003) Nat. Biotechnol. 21, 315-318). A tyrosine-phosphorylated peptide of the epidermal growth factor receptor specifically retrieved the Src homology domain (SH) 2- and SH3 domain-containing adapter protein Grb2. A proline-rich sequence of Son of Sevenless also specifically bound Grb2, demonstrating that the screen maintains specificity with low affinity interactions. The proline-rich Sos peptide retrieved only SH3 domain containing proteins as specific binding partners. Two of these, Pacsin 3 and Sorting Nexin 9, were confirmed by immunoprecipitation. Our data are consistent with a change in the role of Sos from Ras-dependent signaling to actin remodeling/endocytic signaling events by a proline-SH3 domain switch.

Actins↗
PubMed2006

Activity-based proteomics: enzymatic activity profiling in complex proteomes.

In the postgenomic era new technologies are emerging for global analysis of protein function. The introduction of active site-directed chemical probes for enzymatic activity profiling in complex mixtures, known as activity-based proteomics has greatly accelerated functional annotation of proteins. Here we review probe design for different enzyme classes including serine hydrolases, cysteine proteases, tyrosine phosphatases, glycosidases, and others. These probes are usually detected by their fluorescent, radioactive or affinity tags and their protein targets are analyzed using established proteomics techniques. Recent developments, such as the design of probes for in vivo analysis of proteomes, as well as microarray technologies for higher throughput screenings of protein specificity and the application of activity-based probes for drug screening are highlighted. We focus on biological applications of activity-based probes for target and inhibitor discovery and discuss challenges for future development of this field.

Animals↗
PubMed2006

Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel- or LC-MALDI TOF/TOF.

A comparative study on the three quantitative methods frequently used in proteomics, 2D DIGE (difference gel electrophoresis), cICAT (cleavable isotope-coded affinity tags) and iTRAQ (isobaric tags for relative and absolute quantification), was carried out. DIGE and cICAT are familiar techniques used in gel- and LC-based quantitative proteomics, respectively. iTRAQ is a new LC-based technique which is gradually gaining in popularity. A systematic comparison among these quantitative methods has not been reported. In this study, we conducted well-designed comparisons using a six-protein mixture, a reconstituted protein mixture (BSA spiked into human plasma devoid of six abundant proteins), and complex HCT-116 cell lysates as the samples. All three techniques yielded quantitative results with reasonable accuracy when the six-protein or the reconstituted protein mixture was used. In DIGE, accurate quantification was sometimes compromised due to comigration or partial comigration of proteins. The iTRAQ method is more susceptible to errors in precursor ion isolation, which could be manifested with increasing sample complexity. The quantification sensitivity of each method was estimated by the number of peptides detected for each protein. In this regard, the global-tagging iTRAQ technique was more sensitive than the cysteine-specific cICAT method, which in turn was as sensitive as, if not more sensitive than, the DIGE technique. Protein profiling on HCT-116 and HCT-116 p53 -/- cell lysates displayed limited overlapping among proteins identified by the three methods, suggesting the complementary nature of these methods.

Animals↗
PubMed2006

Identification of the proteins present in the bull sperm cytosolic fraction enriched in tyrosine kinase activity: a proteomic approach.

Numerous sperm proteins have been identified on the basis of their increase in tyrosine phosphorylation during capacitation. However, the tyrosine kinases present in spermatozoa that are responsible for this phosphorylation remain unknown. As spermatozoa are devoid of transcriptional and translational activities, molecular biology approaches might not reflect the transcriptional pattern in mature spermatozoa. Working directly with the proteins present in ejaculated spermatozoa is the most reliable approach to identify the tyrosine kinases potentially involved in the capacitation-associated increase in protein tyrosine phosphorylation. A combination of tyrosine kinase assays and proteomic identification tools were used as an approach to identify sperm protein tyrosine kinases. Fractionation by nitrogen cavitation showed that the majority of tyrosine kinase activity is present in the cytosolic fraction of bovine spermatozoa. By the use of Poly-Glu:Tyr(4:1)-agarose affinity chromatography, we isolated a fraction enriched in tyrosine kinase activity. Proteomics approaches permitted the identification of tyrosine kinases from three families: Src (Lyn), Csk, and Tec (Bmx, Btk). We also identified proteins implicated in different cellular events associated with sperm capacitation and acrosome reaction. These results confirm the implication of tyrosine phosphorylation in some aspects of capacitation/acrosome reaction and reveal the identity of new players potentially involved in these processes.

Acrosome Reaction↗
PubMed2004

Evaluation of kinase inhibitor selectivity by chemical proteomics.

Small-molecule inhibitors of protein kinases constitute a novel class of drugs for therapeutic intervention in a variety of human diseases. Most of these agents target the relatively conserved ATP-binding site of protein kinases and have only been tested against a rather small subset of all human protein kinases. Therefore, the selectivity of protein kinase inhibitors has remained a widely underestimated, but highly important issue in drug development programs. In this review, we focus on the recent advancement of chemical proteomic methods to evaluate drug selectivity in an unbiased, comprehensive way. Efficient affinity purification procedures using immobilized kinase inhibitors combined with the sensitivity of mass spectrometry detection permit the mapping of drug targets on a proteome-wide scale. Data from this type of assessment can be used to set up tailor-made selectivity panels, which guide compound development in the context of the most relevant off-targets during lead optimization. In cases in which identified alternative targets are of validated clinical relevance, chemical proteomics provides the opportunity to repeatedly exploit a once established kinase inhibitor principle for additional target kinases and can thereby dramatically shorten the time toward highly selective, preclinical candidates. Moreover, the identification of alternative targets for preclinical or clinical drugs can provide new insights into their cellular modes of action, which might help to define those disease settings in which the most beneficial therapeutic effect is likely to occur.

Animals↗
PubMed2004

Mutations in the shutter region of antithrombin result in formation of disulfide-linked dimers and severe venous thrombosis.

BACKGROUND: Missense mutations causing conformational alterations in serpins can be responsible for protein deficiency associated with human diseases. However, there are few data about conformational consequences of mutations affecting antithrombin, the main hemostatic serpin. OBJECTIVES: To investigate the conformational and clinical effect of mutations affecting the shutter region of antithrombin. PATIENTS AND METHODS: We identified two families with significant reduction of circulating antithrombin displaying early and severe venous thrombosis, frequently associated with pregnancy or infection. Mutations were determined by standard molecular methods. Biochemical studies were performed on plasma samples. One variant (P80S) was purified by heparin-affinity chromatography and gel filtration, and evaluated by proteomic analysis. Finally, we modelled the structure of the mutant dimer. RESULTS: We identified two missense mutations affecting the shutter region of antithrombin: P80S and G424R. Carriers of both mutations presented traces of a similar abnormal antithrombin, supporting inefficiently expressed rather than non-expressed variants. The abnormal antithrombin purified from P80S carriers is an inactive disulfide-linked dimer of mutant antithrombin whose properties are consistent with head-to-head insertion of the reactive loop. CONCLUSIONS: Our data support the conclusion that missense mutations affecting the shutter region of serpins have specific conformational effects resulting in the formation of mutant oligomers. The consequent inefficiency of secretion explains the accompanying deficiency and loss of function, but the severity of thrombosis associated with these mutations suggests that the oligomers also have new and undefined pathological properties that could be exacerbated by pregnancy or infection.

Adult↗
PubMed2005

Role of chromatographic techniques in proteomic analysis.

Proteomics, the characterization of the proteome, is conceptually simple but technically challenging. Development of such technologies as mass spectrometry, multidimensional protein separation, and DNA sequencing has allowed the new field of proteomics to flourish. Proteomic analysis relies on a set of techniques chosen on the basis of the biological question. In any proteomic analysis, the first and most important task is the separation of a complex protein mixture, i.e. the proteome. Chromatography, one of the most powerful methods of separation, employs one or more inherent characteristics of a protein-its mass, isoelectric point, hydrophobicity or biospecificity. This review emphasizes high-performance liquid chromatography as an integrated part of technologies used to study the proteome, discusses the capabilities and limitations of current instruments, and highlights the potential of multidimensional liquid chromatography in proteomic analysis.

Chromatography, Affinity↗
PubMed2002

A high-stringency proteomics concept aimed for generation of antibodies specific for cDNA-encoded proteins.

A novel dual bacterial expression system, designed for high-throughput generation of antibodies specific for cDNA-encoded proteins, is presented. The concept involves parallel expression of cDNA-encoded proteins, in two vector systems, as fusions with two different tags, both enabling single-step affinity purification under denaturing conditions. One of the fusion tags includes a portion with documented immunopotentiating effect to stimulate antibody production, and the generated fusion proteins are used to elicit antibodies. The second fusion protein is used in an immobilized form as an affinity ligand to enrich, from the generated antisera, antibodies with selective reactivity to the cDNA-encoded part. To evaluate the system, five cDNA clones from a mouse testis cDNA library were expressed, and antibodies to these cDNA-encoded proteins were generated, enriched and used in blotting procedures to determine expression patterns for the native proteins corresponding to the cDNAs. The five antibody preparations showed specific reactivity to the corresponding recombinant cDNA-encoded proteins, and three of the five antibodies gave specific staining in Western-blot screening of various cell types and tissue homogenates. When the same five cDNAs were processed and analysed using a single-vector method, antibodies with a more non-specific staining were generated. We thus conclude that the presented dual-vector method offers a highly stringent strategy for generation of monospecific polyclonal antibodies.

Animals↗
PubMed2005

SPOT synthesis: reliability of array-based measurement of peptide binding affinity.

Peptide arrays prepared by the SPOT synthesis technology have emerged as a proteomic tool to study molecular recognition and identify biologically active peptides. However, it was previously not clear how accurately signal intensities obtained by probing peptide arrays for protein binding really reflect the dissociation constants of the protein-peptide complexes. Using the monoclonal antibody CB4-1 as a model system, we systematically compared dissociation constants of antibody-peptide complexes with signal intensities obtained using the SPOT technology. By analyzing a set of peptides possessing different affinities to the antibody, we determined the strengths of the SPOT screening method. The accuracy of the measured results was improved by taking regional trends in the membrane surface into account. A model based on the mass action law compares well with the experimental results. Interestingly, the applied concentrations of the binding partners do not directly correspond to the effective concentrations in the assay. We show that the SPOT technology is an accurate method for assigning the spots' measured signal intensities to three different binding affinity classes. The dissociation constants of the intermediate region were found to be between pK(dis)=5 and pK(dis)=7. Altering the experimental parameters causes a directed change of this region.

Antibodies, Monoclonal↗
PubMedDate not supplied

The role of proteomics in toxicology: identification of biomarkers of toxicity by protein expression analysis.

Proteomics, i.e. the high throughput separation, display and identification of proteins, has the potential to be a powerful tool in drug development. It could increase the predictability of early drug development and identify non-invasive biomarkers of toxicity or efficacy. This review provides an introduction to modern proteomics, with particular reference to applications in toxicology. A literature search was carried out to identify studies in two broad classes: screening/predictive toxicology, and mechanistic toxicology. The strengths and limitations of current methods and the likely impact of techniques in drug development are also considered. Proteomics can increase the speed and sensitivity of toxicological screening by identifying protein markers of toxicity. Proteomics studies have already provided insights into the mechanisms of action of a wide range of substances, from metals to peroxisome proliferators. Current limitations involving speed of throughput are being overcome by increasing automation and the development of new techniques. The isotope-coded affinity tag (ICAT) method appears particularly promising. The application of proteomics to drug development has given rise to the new field of pharmacoproteomics. New associations between proteins and toxicopathological effects are constantly being identified, and major progress is on the horizon as we move into the post-genomic era.

Animals↗
PubMed2005

Isolation and characterisation of a Lactobacillus helveticus ITG LH1 peptidase-rich sub-proteome.

Lactobacillus helveticus strains, one of the most nutritionally fastidious lactic acid bacteria, have a potent proteolytic system that makes them very interesting for different uses in the dairy industry. Its applications concern from cheese ripening to the preparation of fermented milk products with biologically active peptides. The cell-free extract (CFE) of Lactobacillus helveticus strain ITG LH1 was analysed by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), using IPG immobiline dry strips (pH 4-7). With the aim to study the proteolytic enzymes expressed by Lactobacillus helveticus ITG LH1 grown in milk medium, a two step-chromatography methodology, based on ion exchange and affinity chromatography, was developed for the preparation of a peptidase-rich sub-proteome from the CFE of stationary growing cells. Several affinity chromatography columns were tested and among them a HiTrap Chelating column was selected as it provided the best performance for the enrichment in peptidases. Peptidase activities were studied using different beta-Naphtylamide (beta-NA) derivatives and specific activities were increased 50- to 100-fold by this chromatographic procedure. Sub-proteome characterisation was performed by 2D-PAGE, pH 4-7, followed by protein digestion with trypsin, analysis by MALDI-TOF mass spectrometry and subsequent database searches using peptide mass fingerprints. Among the most abundant proteins seven peptidases were present, namely the two general aminopeptidases (PepN, PepC), three dipeptidases (PepDA, PepV, PepQ) and two endopeptidases (PepO, PepO3), all of them corresponding to the catalytic classes of metallo- or cysteine-peptidases. Several stress proteins (such as heat shock proteins DnaK and GroEL) and other enzymes implied in bacterial metabolism, namely in the carbohydrate pathways (such as LDH), were also identified in the peptidase-rich sub-proteome.

Aminopeptidases↗
PubMed2006

Analysis of the ribosomal protein S19 interactome.

Ribosomal protein S19 (RPS19) is a 16-kDa protein found mainly as a component of the ribosomal 40 S subunit. Its mutations are responsible for Diamond Blackfan anemia, a congenital disease characterized by defective erythroid progenitor maturation. Dysregulation of RPS19 has therefore been implicated in this defective erythropoiesis, although the link between them is still unclear. Two not mutually exclusive hypotheses have been proposed: altered protein synthesis and loss of unknown functions not directly connected with the structural role of RPS19 in the ribosome. A role in rRNA processing has been surmised for the yeast ortholog, whereas the extracellular RPS19 dimer has a monocyte chemotactic activity. Three proteins are known to interact with RPS19: FGF2, complement component 5 receptor 1, and a nucleolar protein called RPS19-binding protein. We have used a yeast two-hybrid approach to identify a fourth protein: the serine-threonine kinase PIM1. The present study describes our use of proteomics strategies to look for proteins interacting with RPS19 to determine its functions. Proteins were isolated by affinity purification with a GST-RPS19 recombinant protein and identified using LCMS/MS analysis coupled to bioinformatics tools. We identified 159 proteins from the following Gene Ontology categories: NTPases (ATPases and GTPases; five proteins), hydrolases/helicases (19 proteins), isomerases (two proteins), kinases (three proteins), splicing factors (five proteins), structural constituents of ribosome (29 proteins), transcription factors (11 proteins), transferases (five proteins), transporters (nine proteins), DNA/RNA-binding protein species (53 proteins), other (one dehydrogenase protein, one ligase protein, one peptidase protein, one receptor protein, and one translation elongation factor), and 13 proteins of still unknown function. Proteomics results were validated by affinity purification and Western blotting. These interactions were further confirmed by co-immunoprecipitation using a monoclonal RPS19 antibody. Many interactors are nucleolar proteins and thus are expected to take part in the RPS19 interactome; however, some proteins suggest additional functional roles for RPS19.

Glutathione Transferase↗