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PubMed2004

Improving large-scale proteomics by clustering of mass spectrometry data.

Tandem mass spectrometry (MS/MS), coupled with liquid chromatography (LC), is a powerful tool for the analysis and comparison of complex protein and peptide mixtures. However, the extremely large amounts of data that result from the process are very complex and difficult to analyze. We show how the clustering of similar spectra from multiple LC-MS/MS runs can help in data management and improve the analysis of complex peptide mixtures. The major effect of spectrum clustering is the reduction of the huge amounts of data to a manageable size. As a result, analysis time is shorter and more data can be stored for further analysis. Furthermore, spectrum quality improvement allows the identification of more peptides with greater confidence, the comparison of complex peptide mixtures is facilitated, and the entire proteomics project is presented in concise form. Pep-Miner is an advanced software tool that implements these clustering-based applications. It proved useful in several comparative proteomics projects involving lung cancer cells and various other cell types. In one of these projects, Pep-Miner reduced 517 000 spectra to 20 900 clusters and identified 2518 peptides derived from 830 proteins. Clustering and identification lasted less than two hours on an IBM Thinkpad T23 computer (laptop). Pep-Miner's unique properties make it a very useful tool for large-scale shotgun proteomics projects.

Algorithms↗
PubMed2004

Two-dimensional maps and databases of the human macrophage proteome and secretome.

Macrophages exert a crucial, but still incompletely known, role in complex disorders such inflammatory, immunological, and infectious diseases. A differential proteomic approach should help to elucidate the macrophage dysfunctions involved in these diseases. With this goal in mind, we established the first two-dimensional maps of the human macrophage proteome and secretome. Intracellular and secreted proteins were extracted from monocyte-derived macrophages obtained from healthy donors (n = 16), and separated by two-dimensional gel electrophoresis. Silver-stained gels were analyzed using Progenesis software. A high level of between-gel reproducibility was obtained, allowing us to generate two patterns specific of the macrophage proteome and secretome, respectively. A total of 127 and 66 distinct intracellular and secreted polypeptide spots, corresponding to 100 and 38 different proteins, respectively, were identified by matrix assisted laser desorption/ionisation-mass spectrometry. The two-dimensional reference maps and databases resulting from this study confirm that macrophages are involved in a wide range of biological functions, and that they provide a useful tool for a wide array of investigators involved in macrophage biology, allowing to investigate the macrophage protein changes associated with various disorders or environmental stimuli.

Databases, Protein↗
PubMed2004

Common interchange standards for proteomics data: Public availability of tools and schema.

The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics and to facilitate data comparision, exchange and verification. To this end, a Level 1 Molecular Interaction XML data exchange format has been developed which has been accepted for publication and is freely available at the PSI website (http.//psidev.sf.net/). Several major protein interaction databases are already making data available in this format. A draft XML interchange format for mass spectrometry data has been written and is currently undergoing evaluation whilst work is ongoing to develop a proteomics data integration model, MIAPE.

Computational Biology↗
PubMed2004

Highly informative proteome analysis by combining improved N-terminal sulfonation for de novo peptide sequencing and online capillary reverse-phase liquid chromatography/tandem mass spectrometry.

Recently, various chemical modifications of peptides have been incorporated into mass spectrometric analyses of proteome samples, predominantly in conjunction with matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS), to facilitate de novo sequencing of peptides. In this work, we investigate systematically the utility of N-terminal sulfonation of tryptic peptides by 4-sulfophenyl isothiocyanate (SPITC) for proteome analysis by capillary reverse-phase liquid chromatography/tandem mass spectrometry (cRPLC/MS/MS). The experimental conditions for the sulfonation were carefully adjusted so that SPITC reacts selectively with the N-terminal amino groups, even in the presence of the epsilon-amino groups of lysine residues. Mass spectrometric analyses of the modified peptides by cRPLC/MS/MS indicated that SPITC derivatization proceeded toward near completion under the experimental conditions employed here. The SPITC-derivatized peptides underwent facile fragmentation, predominantly resulting in y-series ions in the MS/MS spectra. Combining SPITC derivatization and cRPLC/MS/MS analyses facilitated the acquisition of sequence information for lysine-terminated tryptic peptides as well as arginine-terminated peptides without the need for additional peptide pretreatment, such as guanidination of lysine amino group. This process alleviated the biased detection of arginine-terminated peptides that is often observed in MALDI MS experiments. We will discuss the utility of the technique as a viable method for proteome analyses and present examples of its application in analyzing samples having different levels of complexity.

Amino Acid Sequence↗
PubMed2004

Identification of proteins in activated human neutrophils susceptible to tyrosyl radical attack. A proteomic study using a tyrosylating fluorophore.

Tyrosyl radicals cross-linked to protein tyrosine residues (tyrosylated proteins) represent hallmarks of neutrophil-mediated injury at the inflammatory locus. Yet the proteins targeted by tyrosyl radicals in an intact cellular system remain to be elucidated. Here, we show that tyrosyl radicals generated by human neutrophils after activation by phorbol 12-myristate 13-acetate (PMA), interferon-gamma (IFN-gamma) or TNF-alpha could act in an autocrine manner by cross-linking to endogenous proteins. We have identified the tyrosylated proteins by using a membrane-impermeable tyrosine analogue, tyramine coupled to fluorescein (TyrFluo), in combination with proteomics techniques. Confocal microscopy images indicated that initially the tyrosylated proteins were localized in patches at the cell surface to become internalized subsequently. In the neutrophil membrane-associated proteome, lactoferrin was the prime target of tyrosylation. Out of three isoforms identified, an 80 kDa neutral isoform was tyrosylated more extensively than the 85 kD basic isoform, particularly after PMA activation. Although all three stimuli induced tyrosylation of the filamentous component vimentin, additional tyrosylated vimentin fragments were detected after IFN-gamma- and TNF-alpha-stimulation. Moreover, upon activation the bulk of vimentin behaved as a dimer (M(r) 120 kDa) being slightly tyrosylated, yet phosphorylated at Thr-425 possibly as a requirement for its externalization. Unexpectedly, bovine catalase added to end tyrosyl radicals formation was detected as a highly tyrosylated neutrophil-associated protein. A moderate stimulus-dependent tyrosylation of ATP synthase-beta, alpha-enolase, glyceraldehyde 3-phosphate dehydrogenase, cytokeratin-10, filamin-A, and annexin-I was also observed. When the membrane-permeable probe (acetylTyrFluo) was used, protein tyrosylation was not observed indicating that the intracellular proteins were well protected against oxidative attack. This study shows that human neutrophils can modulate their proteome via a tyrosine oxidation pathway induced by pro-inflammatory mediators.

Animals↗
PubMed2004

Proteomic approaches in endometriosis research.

To date, the quest to develop a noninvasive diagnostic test for endometriosis has mostly concentrated on the levels of cytokines and growth factors that are involved in inflammation, angioneogenesis and tissue remodeling, present in serum, peritoneal fluid, endometrium and endometriotic lesions. As this has not yet translated into the development of such a diagnostic test, proteomic techniques are now being employed to identify proteins that are potential biomarkers for the disease. As proteomics allows the comprehensive analysis of complex fluid and tissue samples with good sensitivity and resolution, it has promise in delivering markers associated with endometriosis. Once identified, the challenge will be in translating these markers into a clinically useful test for endometriosis, as the pathophysiology of this disease is unknown and likely to be complex and multifactorial. Also, with variation between individuals and the influences of steroid hormones during the menstrual cycle, it could be difficult to validate findings relating to a single protein or small groups of proteins differentially expressed in the disease state. Proteomic profiling, using mass spectrometry in combination with sophisticated bioinformatics software to identify protein patterns, may be where a significant clinical diagnostic contribution can be made.

Endometriosis↗
PubMed2004

Proteomic signature of human cancer cells.

We assessed proteomic profiles as biomarkers for monitoring cell phenotypes. Protein expression profiles were obtained by fluorescence two-dimensional difference gel electrophoresis (2-D-DIGE), in which quantitative ability is improved by labeling proteins with fluorescent dyes prior to electrophoresis. Integrated protein spot intensities were analyzed by a statistical approach. The proteomic data of two groups of cell lines: (1) adenocarcinoma (AC) cell lines derived from lung, pancreas and colon tissues and (2) lung cancer cell lines with different histological backgrounds, including AC, squamous cell carcinoma and small cell carcinoma, were assessed on the basis of prior biological information. Hierarchical clustering analysis and principal component analysis were used to divide the cell lines into subgroups on the basis of similarities between their protein expression profiles. The majority of cell lines were grouped according to their organ of origin or histological background. A machine-learning algorithm selected 32 protein spots that were responsible for the classification. The results indicate that proteomic data generated by 2-D-DIGE can provide a signature of essential cell phenotypes, suggesting that it might be possible to apply this technique to developing tumor markers that could identify the organ of origin of metastatic tumors and contribute to the differential diagnosis of lung cancer.

Cell Line, Tumor↗
PubMed2004

Proteomic approach to identify acute phase response-related proteins with low molecular weight in loach skin following injury.

Proteome analysis by two-dimensional gel electrophoresis (2-DE) together with mass spectrometry was applied to screen acute phase response (APR)-related proteins with low molecular weight in loach skin following injury. Furthermore, Western blotting and function tests were applied to confirm the results obtained from the proteomic study. Fifteen APR-related proteins with sixteen spots (PLA with two spots) on a 2-DE map were identified in this study. Furthermore, six were known acute phase proteins including galactose-binding lectin (GBL), lysozyme, C3, CD59, double PLA and 50s ribosomal protein; while ATP kinase, zinc finger protein 183, alpha-neurotoxin homology, angiostatin, serine/threonine kinase, metalloproteinase inhibitor, regulator of G-protein 4, cryptdin-9 and disintegrin trigranin were found by our lab to be APR-related proteins. In addition, our results suggest that proteomes with low molecular weight can be characterized by 2-DE with a Tris-tricine system followed by mass spectrometry.

Acute-Phase Proteins↗
PubMed2003

Drug induced proteome changes in Candida albicans: comparison of the effect of beta(1,3) glucan synthase inhibitors and two triazoles, fluconazole and itraconazole.

The dimorphic fungus Candida albicans is an opportunistic human pathogen. Candidiasis is usually treated with azole antifungal agents. However clinical treatments may fail due to the appearance of resistance to this class of antifungal agents in Candida. Echinocandin derivatives are an alternative for the treatment of these fungal infections and are active against azole resistant isolates of C. albicans. Azoles inhibit the lanosterol 14 alpha demethylase which is a key enzyme in the synthesis of ergosterol. In contrast, the echinocandin class of antibiotics inhibit noncompetitively beta-(1,3)-D-glucan synthesis in vitro. We have investigated the impact of mulundocandin on the proteome of C. albicans and compared it to those of a mulundocandin derivative, as well as to two azoles of different structure, fluconazole and itraconazole. The changes in gene expression underlying the antifungal responses were analyzed by comparative 2-D PAGE. Dose dependant responses were kinetically studied on C. albicans grown at 25 degrees C (yeast form) in synthetic dextrose medium. This study shows that antifungals with a common mechanism of action lead to comparable effects at the proteome level and that a proteomics approach can be used to distinguish different antifungals, with the promise to become a useful tool to study drugs of unknown mechanism of action.

Antifungal Agents↗
PubMed2003

Multi-component immunoaffinity subtraction chromatography: an innovative step towards a comprehensive survey of the human plasma proteome.

In order to discover novel protein markers indicative of disease processes or drug effects, the proteomics technology platform most commonly used consists of high resolution protein separation by two-dimensional electrophoresis (2-DE), mass spectrometric identification of proteins from stained gel spots and a bioinformatic data analysis process supported by statistics. This approach has been more successful in profiling proteins and their disease- or treatment-related quantitative changes in tissue homogenates than in plasma samples. Plasma protein display and quantitation suffer from several disadvantages: very high abundance of a few proteins; high heterogeneity of many proteins resulting in long charge trains; crowding of 2-DE separated protein spots in the molecular mass range between 45-80 kD and in the isoelectric point range between 4.5 and 6. Therefore, proteomic technologies are needed that address these problems and particularly allow accurate quantitation of a larger number of less abundant proteins in plasma and other body fluids. The immunoaffinity-based protein subtraction chromatography (IASC) described here removes multiple proteins present in plasma and serum in high concentrations effectively and reproducibly. Applying IASC as an upfront plasma sample preparation process for 2-DE, the protein spot pattern observed in gels changes dramatically and at least 350 additional lower abundance proteins are visualized. Affinity-purified polyclonal antibodies (pAbs) are the immunoaffinity reagents used to specifically remove the abundant proteins such as albumin, immunoglobulin G, immunoglobulin A, transferrin, haptoglobin, alpha-1-antitrypsin, hemopexin, transthyretin, alpha-2-HS glycoprotein, alpha-1-acid glycoprotein, alpha-2-macroglobulin and fibrinogen from human plasma samples. To render the immunoaffinity subtraction procedure recyclable, the pAbs are immobilized and cross-linked on chromatographic matrices. Antibody-coupled matrices specific for one protein each can be pooled to form mixed-bed IASC columns. We show that up to ten affinity-bound plasma proteins with similar solubility characteristics are eluted from a mixed-bed column in one step. This facilitates automated chromatographic processing of plasma samples in high throughput, which is desirable in proteomic disease marker discovery projects.

Antibodies↗
PubMed2004

A human proteome project with a beginning and an end.

Research activities centered on the ensemble of and individual human proteins have taken on numerous guises, some of which fall under the banner of what could be defined as a Human Proteome Project (HPP). However, the latter has yet to take-on the apparent global focus of its predecessor, the Human Genome Project. The reasons for this are both financial and technical. The disparate properties afforded to each protein by a 20-letter code render a single unifying approach difficult to implement, while the current limit of analytical detection has yet to deliver an entire proteome for even the simplest of microbes. The situation is complicated further by the fact that low abundance proteins dominate within any living cell. Thus, enhancement of signal-to-noise ratio by affinity ligands becomes of paramount importance if whole-organism proteomics is to be realized. The generation of such ligands (molecules exhibiting desirable affinity and selectivity for target) could provide the necessary focus and a task list with a definable beginning and end. Such a finite task list is considered essential if an HPP might one day deliver global coverage on a scale seen currently for the total DNA sequence of some 200 living organisms.

Human Genome Project↗
PubMed2004

Challenges in mass spectrometry-based proteomics.

During the last decade, protein analysis and proteomics have been established as new tools for understanding various biological problems. As the identification of proteins after classical separation techniques, such as two-dimensional gel electrophoresis, have become standard methods, new challenges arise in the field of proteomics. The development of "functional proteomics" combines functional characterization, like regulation, localization and modification, with the identification of proteins for deeper insight into cellular functions. Therefore, different mass spectrometric techniques for the analysis of post-translational modifications, such as phosphorylation and glycosylation, have been established as well as isolation and separation methods for the analysis of highly complex samples, e.g. protein complexes or cell organelles. Furthermore, quantification of protein levels within cells is becoming a focus of interest as mass spectrometric methods for relative or even absolute quantification have currently not been available. Protein or genome databases have been an essential part of protein identification up to now. Thus, de novo sequencing offers new possibilities in protein analytical studies of organisms not yet completely sequenced. The intention of this review is to provide a short overview about the current capabilities of protein analysis when addressing various biological problems.

Algorithms↗
PubMed2005

A novel strategy for quantitative proteomics using isotope-coded protein labels.

Stable isotope labelling in combination with mass spectrometry has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. Here we describe a novel method, termed isotope-coded protein label (ICPL), which is capable of high-throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids, and compatible to all separation methods currently employed in proteome studies. The method showed highly accurate and reproducible quantification of proteins and yielded high sequence coverage, indispensable for the detection of post-translational modifications and protein isoforms. The efficiency (e.g. accuracy, dynamic range, sensitivity, speed) of the approach is demonstrated by comparative analysis of two differentially spiked proteomes.

Caseins↗
PubMed2005

Purification and proteomic analysis of outer membrane vesicles from a clinical isolate of Leptospira interrogans serovar Copenhageni.

The severe pulmonary form of leptospirosis (SPFL) is an especially serious and rapid disease process characterized by alveolar hemorrhage and acute respiratory failure. The outer membrane of Leptospira facilitates direct interactions with the environs and likely contains important constituents involved during infection, transmission, survival, and adaptation to environmental conditions, including putative vaccinogen and diagnostic candidates. Outer membrane vesicles (OMVs) were purified by incubation in low-pH citrate buffer, treatment in a French press, and centrifugation over a continuous sucrose gradient. OMVs characterized by two-dimensional gel electrophoresis (2-DE) contained the previously described outer membrane proteins OmpL1, Qlp42, LipL32, LipL41, LipL36 and Loa22. In addition, unknown, hypothetical and putative outer membrane proteins were identified. High-performance liquid chromatography (HPLC) coupled with mass spectrometry and fraction collection (LC-MS+) measured the intact mass profile of the major outer membrane protein, LipL32, and the putative lipoprotein Qlp42. In contrast to a predicted molecularmass of 27,653.5 Da for LipL32 after cleavage of its signal peptide, intact mass proteomics measured the mass as ranging from 28,468 to 28,583 Da, consistent with lipidation of LipL32. In contrast to a predicted molecular mass of 39.8 kDa for Qlp42, the actual mass was measured as 24,811 and 26,461 Da consistent with a 30 kDa doublet observed on sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gels and processing of the N-terminus of the mature protein. These studies indicate that purified OMVs are highly compatible with proteomics technologies including 2-DE and intact mass proteomics using LC-MS+ that facilitates definition of actual molecular masses of intact outer membrane proteins, and heterogeneity associated with them.

Amino Acid Sequence↗
PubMed2004

Advances in the development of common interchange standards for proteomic data.

The generation of proteomics data is increasingly high-throughput and high volume. Both experimental design and the technologies used to produce and subsequently analyze the data are becoming ever more complex. An increasing need for methods by which such data can be accurately described, stored and exchanged between experimenters and data repositories has been recognised. Work by the Proteomics Standards Initiative of the Human Proteome Organisation has laid the foundation for the development of standards by which experimental design can be described and data exchange facilitated. At a recent workshop in Nice, participants gathered to review the progress made to date and assist in pushing the process still further forward.

Humans↗
PubMed2004

Action and reaction: Chlamydophila pneumoniae proteome alteration in a persistent infection induced by iron deficiency.

Chlamydophila pneumoniae is an obligate intracellular pathogen implicated in a variety of acute and chronic diseases. Long-term infections are associated with a persistent life stage, in which bacteria can stay for years. They are less accessible to antibiotic treatment but still prone to sustain an inflammatory response. Different in vitro models have been established to mimic and characterize chlamydial persistency. For C. pneumoniae and Chlamydia trachomatis, altered metabolic activities and changed antigenic profiles compared to acute infections have been reported. Most studies including transcriptome and proteome analyses describe persistency induced by IFNgamma treatment. Here, we use iron depletion of the infected cell culture that also leads into persistent infection. We describe differently regulated proteins found by subtractive proteome analysis comparing two early stages of infection with and without addition of the iron chelator deferoxamine-mesylate. While only one bacterial protein was up-regulated during iron deficiency up to 24 h post infection (p.i.), 11 were found to be up-regulated and eight to be down-regulated from 24-48 h p.i. Two down-regulated proteins could be identified by peptide mass fingerprinting as thioredoxin reductase and chromosome partitioning protein (ParB). The latter is involved in chromosome segregation. Thus, using a comparative approach we identified on a proteome level down-regulation of ParB in persistent chlamydial forms, which is in agreement with previous results describing changes in cell division and atypical altered morphology of persistent Chlamydiae.

Amino Acid Sequence↗
PubMed2005

Comparative proteome analyses of human plasma following in vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry.

There is significant interest in characterization of the human plasma proteome due to its potential for providing biomarkers applicable to clinical diagnosis and treatment and for gaining a better understanding of human diseases. We describe here a strategy for comparative proteome analyses of human plasma, which is applicable to biomarker identifications for various disease states. Multidimensional liquid chromatography-mass spectrometry (LC-MS/MS) has been applied to make comparative proteome analyses of plasma samples from an individual prior to and 9 h after lipopolysaccharide (LPS) administration. Peptide peak areas and the number of peptide identifications for each protein were used to evaluate the reproducibility of LC-MS/MS and to compare relative changes in protein concentration between the samples following LPS treatment. A total of 804 distinct plasma proteins (not including immunoglobulins) were confidently identified with 32 proteins observed to be significantly increased in concentration following LPS administration, including several known inflammatory response or acute-phase mediators such as C-reactive protein, serum amyloid A and A2, LPS-binding protein, LPS-responsive and beige-like anchor protein, hepatocyte growth factor activator, and von Willebrand factor, and thus, constituting potential biomarkers for inflammatory response.

Blood Proteins↗
PubMed2005

The proteome and secretome of human arterial smooth muscle cells.

Smooth muscle cells (SMCs) play a crucial role in cardiovascular disorders. A differential proteomic approach should help to elucidate SMC dysfunctions involved in these diseases. With this goal in mind, we plotted the first 2-dimensional (2-D) maps of the proteome and secretome of human arterial smooth muscle cell (ASMC). Intracellular and secreted proteins were extracted from a primary culture of SMCs obtained from patients undergoing coronary artery bypass surgery (n = 11) and separated by 2-dimensional gel electrophoresis. Silver-stained gels were analyzed using Progenesis software. A high level of between-gel reproducibility was obtained, allowing us to generate two protein patterns specific to the ASMC proteome and secretome, respectively. A total of 121 and 40 distinct intracellular and secreted polypeptide spots, corresponding to 83 and 18 different proteins, respectively, were identified by matrix-assisted laser desorption/ionization mass spectrometry. The 2-D reference maps and database resulting from this study confirm that SMCs are involved in a wide range of biological functions. They could constitute a useful tool for a wide range of investigators involved in vascular biology, allowing them to investigate SMC protein changes associated with cardiovascular disorders or environmental stimuli.

Cells, Cultured↗