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PubMed2005

BioAfrica's HIV-1 proteomics resource: combining protein data with bioinformatics tools.

Most Internet online resources for investigating HIV biology contain either bioinformatics tools, protein information or sequence data. The objective of this study was to develop a comprehensive online proteomics resource that integrates bioinformatics with the latest information on HIV-1 protein structure, gene expression, post-transcriptional/post-translational modification, functional activity, and protein-macromolecule interactions. The BioAfrica HIV-1 Proteomics Resource http://bioafrica.mrc.ac.za/proteomics/index.html is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. The HIV-1 Protein Data-mining Tool includes a set of 27 group M (subtypes A through K) reference sequences that can be used to assess the influence of genetic variation on immunological and functional domains of the protein. The BLAST Structure Tool identifies proteins with similar, experimentally determined topologies, and the Tools Directory provides a categorized list of websites and relevant software programs. This combined database and software repository is designed to facilitate the capture, retrieval and analysis of HIV-1 protein data, and to convert it into clinically useful information relating to the pathogenesis, transmission and therapeutic response of different HIV-1 variants. The HIV-1 Proteomics Resource is readily accessible through the BioAfrica website at: http://bioafrica.mrc.ac.za/proteomics/index.html.

Africa↗

PubMed2006

Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system.

BACKGROUND: Mass spectrometry has become a powerful tool for the analysis of large numbers of proteins in complex samples, enabling much of proteomics. Due to various analytical challenges, so far no proteome has been sequenced completely. O'Shea, Weissman and co-workers have recently determined the copy number of yeast proteins, making this proteome an excellent model system to study factors affecting coverage. RESULTS: To probe the yeast proteome in depth and determine factors currently preventing complete analysis, we grew yeast cells, extracted proteins and separated them by one-dimensional gel electrophoresis. Peptides resulting from trypsin digestion were analyzed by liquid chromatography mass spectrometry on a linear ion trap-Fourier transform mass spectrometer with very high mass accuracy and sequencing speed. We achieved unambiguous identification of more than 2,000 proteins, including very low abundant ones. Effective dynamic range was limited to about 1,000 and effective sensitivity to about 500 femtomoles, far from the subfemtomole sensitivity possible with single proteins. We used SILAC (stable isotope labeling by amino acids in cell culture) to generate one-to-one pairs of true peptide signals and investigated if sensitivity, sequencing speed or dynamic range were limiting the analysis. CONCLUSION: Advanced mass spectrometry methods can unambiguously identify more than 2,000 proteins in a single proteome. Complex mixture analysis is not limited by sensitivity but by a combination of dynamic range (high abundance peptides preventing sequencing of low abundance ones) and by effective sequencing speed. Substantially increased coverage of the yeast proteome appears feasible with further development in software and instrumentation.

Amino Acid Sequence↗

PubMed2004

Protein interaction networks by proteome peptide scanning.

A substantial proportion of protein interactions relies on small domains binding to short peptides in the partner proteins. Many of these interactions are relatively low affinity and transient, and they impact on signal transduction. However, neither the number of potential interactions mediated by each domain nor the degree of promiscuity at a whole proteome level has been investigated. We have used a combination of phage display and SPOT synthesis to discover all the peptides in the yeast proteome that have the potential to bind to eight SH3 domains. We first identified the peptides that match a relaxed consensus, as deduced from peptides selected by phage display experiments. Next, we synthesized all the matching peptides at high density on a cellulose membrane, and we probed them directly with the SH3 domains. The domains that we have studied were grouped by this approach into five classes with partially overlapping specificity. Within the classes, however, the domains display a high promiscuity and bind to a large number of common targets with comparable affinity. We estimate that the yeast proteome contains as few as six peptides that bind to the Abp1 SH3 domain with a dissociation constant lower than 100 microM, while it contains as many as 50-80 peptides with corresponding affinity for the SH3 domain of Yfr024c. All the targets of the Abp1 SH3 domain, identified by this approach, bind to the native protein in vivo, as shown by coimmunoprecipitation experiments. Finally, we demonstrate that this strategy can be extended to the analysis of the entire human proteome. We have developed an approach, named WISE (whole interactome scanning experiment), that permits rapid and reliable identification of the partners of any peptide recognition module by peptide scanning of a proteome. Since the SPOT synthesis approach is semiquantitative and provides an approximation of the dissociation constants of the several thousands of interactions that are simultaneously analyzed in an array format, the likelihood of each interaction occurring in any given physiological settings can be evaluated. WISE can be easily extended to a variety of protein interaction domains, including those binding to modified peptides, thereby offering a powerful proteomic tool to help completing a full description of the cell interactome.

Animals↗

PubMed2006

Protein expression in a transformed trabecular meshwork cell line: proteome analysis.

PURPOSE: Characterization of the human trabecular meshwork (TM) proteome is hindered by the small mass of intact tissue and the slow growth of cultured cell strains. We have previously characterized a transformed TM cell strain (GTM3) that demonstrates many of the same protein expression and cell signaling systems of nontransformed cell strains. The aim of this study was to initiate a proteomic survey of GTM3 cells as the initial step toward characterization of the complete human TM proteome. METHODS: GTM3 cells were cultured to confluence, harvested and solubilized in urea/Nonidet. The protein extract (600 mug) was focused in immobilized isoelectric focusing (IEF) strips, separated by 10% SDS PAGE, and visualized with colloidal Coomassie Blue. Spots of interest were excised, destained, and the contained proteins subjected to in-gel reduction, derivatization, and tryptic digestion. Tryptic peptides were extracted and analyzed by electrospray LC/MS/MS. Protein identification was made using the TurboSequest search algorithm and a recent version of the nonredundant human protein database downloaded from the National Center for Biotechnology Information (NCBI). RESULTS: Eighty-seven (87) primary proteins and 93 variants of these proteins were identified. A website was created (TM proteome) that combines data such as graphic spot location within the gel, peptide sequence, apparent and calculated pI, apparent and calculated mass, percentage of coverage, and protein informatic website links. CONCLUSIONS: Proteomic analysis of a transformed human TM cell line has been initiated combining preparative two-dimensional PAGE separation, LC/MS/MS analysis of major proteins, and bioinformatic cataloging of the data. Further investigation of data from the transformed cell strain will be used in a comparative fashion for spot identification of analytical proteomic gels of human TM tissue and cultured normal cells. These initial data will form the base from which the characterization of protein expression in the normal and glaucomatous TM can be accomplished.

Cell Line, Transformed↗

PubMed1999

Proteome map of the human hippocampus.

The proteins expressed by a genome have been termed the proteome. By comparing the proteome of a disease-affected tissue with the proteome of an unaffected tissue it is possible to identify proteins that play a role in a disease process. The hippocampus is involved in the processing of short-term memory and is affected in Alzheimer's disease. Any comparative proteome analysis that can identify proteins important in a disease affecting the hippocampus requires the characterization of the normal hippocampal proteome. Therefore, we homogenised normal hippocampal tissue and separated the proteins by two-dimensional polyacrylamide gel electrophoresis (2DE). Seventy-two unique protein spots were collected from Coomassie blue-stained 2DE gels and subjected to in-gel digestion with trypsin, reversed-phase high-pressure liquid chromatography peptide separation, and N-terminal protein sequencing. Sufficient protein sequence was obtained to successfully characterize 66 of the 72 protein spots chosen (92%). Three of the 66 proteins were not present in any database (4.5%). The characterized proteins comprised two dominant functional groups, i.e., enzymes involved in intermediary cellular metabolism (40%), and proteins associated with the cytoskeleton (15%). The identity, molecular mass, isoelectric point, and relative concentration of the characterized proteins are described and constitute a partial proteome map of the normal human hippocampus.

Adult↗

PubMed2001

Zooming-in on the proteome: very narrow-range immobilised pH gradients reveal more protein species and isoforms.

Two-dimensional gel electrophoresis (2-DE) enables separation of complex mixtures of proteins on a single polyacrylamide gel according to isoelectric point, molecular weight, solubility, and relative abundance. For this reason, 2-DE together with mass spectrometry (MS) has become a key technology in proteome analysis. The introduction of immobilised pH gradients (IPGs) for isoelectric focusing of proteins affords improved reproducibility and permits full-scale proteome analyses to be undertaken. Whilst broad-range IPGs are useful for investigating simple proteomes (e.g. Mycoplasma genitalium) it is becoming clear that additional resolving power is needed for separating the more complex proteomes of eukaryotic organisms. The use of narrow-range and very narrow-range IPGs provides the means with which to dissect a complex proteome. We have compared very narrow-range IPGs (3.5-4.5L, 4-5L, 4.5-5.5L, 5-6L, and 5.5-6.7L) with broad- (3-10NL) and narrow-range IPGs (4-7L and 6-9L) for the visualisation of the human heart proteome. The superior ability of very narrow-range IPGs to separate different protein species and isoforms, compared with 3-10NL and 4-7L 2-D gels is demonstrated. The results are supported by MS identifications which further show that reduction of the number of comigrating protein species results in less ambiguous and more reliable database search results.

Adipose Tissue↗

PubMed2002

Proteomics based on high-efficiency capillary separations.

Identifying and quantifying in a high throughput manner the proteins expressed by cells, tissues or an organism provides the basis for understanding the functions of its constituents at a "systems" level. As a result, proteome analysis has increasingly become the focus of significant interest and research over the past decade. This is especially true following the recent stunning achievements in genomics analyses. However, unlike the static genome, the complexities and dynamism of the proteome present significant analytical challenges and demand highly efficient separations and detection technologies. A number of recent technological advancements have been in direct response to these challenges. Currently, strategically mated combinations of sophisticated separations techniques and advanced mass spectrometric detection represent the best approach to addressing the intricacies of the proteome. Liquid-phase separations, often within capillaries, are increasingly recognized as the best separations technique for this approach. In combination on-line with mass spectrometry, liquid-phase separations provide the improved analytical sensitivity, sample throughput, and quantitation capabilities necessitated by the multifaceted problems within proteomics analyses. This review focuses primarily on current high-efficiency capillary separations techniques, including both capillary liquid chromatography and capillary electrophoresis, applied to the analysis of complex proteomic samples. We emphasize developments at our laboratory and illustrate technical advances that attempt to review the role of separations within the broader context of a state-of-the-art integrated proteomics effort.

Chromatography, Liquid↗

PubMed2002

High throughput two-dimensional blue-native electrophoresis: a tool for functional proteomics of mitochondria and signaling complexes.

The recent upsurge in proteomics research has been facilitated largely by streamlining of two-dimensional (2-D) gel technology and the parallel development of facile mass spectrometry for analysis of peptides and proteins. However, application of these technologies to the mitochondrial proteome has been limited due to the considerable complement of hydrophobic membrane proteins in mitochondria, which precipitate during first dimension isoelectric focusing of standard 2-D gels. In addition, functional information regarding protein:protein interactions is lost during 2-D gel separation due to denaturing conditions in both gel dimensions. To resolve these issues, 2-D blue-native gel electrophoresis was applied to the mitochondrial proteome. In this technique, membrane protein complexes such as those of the respiratory chain are solubilized and resolved in native form in the first dimension. A second dimension sodium dodecyl sulfate-polyacrylamide gel electrophoresis gel then denatures the complexes and resolves them into their component subunits. Refinements to this technique have yielded the levels of throughput and reproducibility required for proteomics. By coupling to tryptic peptide fingerprinting using matrix-assisted laser desorption/ionization-time of flight mass spectrometry, a partial mitochondrial proteome map has been assembled. Applications of this functional mitochondrial proteomics method are discussed.

Animals↗

PubMed2006

The human heart proteome: Two-dimensional maps using narrow-range immobilised pH gradients.

The analysis of complex proteomes is undertaken using a variety of techniques and technologies such as 2-DE, surface-enhanced laser desorption ionisation, and various types of MS. In order to overcome the complexities of protein expression in discrete proteomes, sample fractionation has become an important aspect of proteomic experiments. The use of narrow-range IPGs (nrIPGs) is of special importance using the 2-DE proteomics workflow, since an enhanced visualisation of a given proteome is achieved through an improved physical separation and resolution of proteins. The work described in this paper presents a series of protein maps of the human heart left ventricle proteome that have been generated using nrIPGs for the first, IEF, dimension of 2-DE. A total of 374 gel spots were excised from seven different pH gradients, covering the range pH 3-10, giving rise to a total of 388 identifications from 110 unique proteins. Using Gene Ontologies (GOs), the identified proteins were found to be associated with 97 types of GO Process, 144 types of GO Function, and 54 types of GO Component. It is hoped that the maps presented in this paper will be of use to other researchers for reference purposes.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2005

Proteomic analysis of nipple aspirate fluid using SELDI-TOF-MS.

Proteomic analysis of body fluids, including breast nipple aspirate fluid (NAF), holds promise to aid in early cancer detection. We conducted a prospective trial that collected NAF from women scheduled for diagnostic breast surgery to determine 1) the consistency of proteomic results, 2) protein masses associated with breast cancer, 3) subsets of women with a unique proteomic profile and 4) a breast cancer predictive model. NAF was collected preoperatively in 114 women and analyzed by SELDI-TOF mass spectrometry over a 3-50 kDa range using H4, NP and SAX ProteinChips. For all 3 chips, the same protein peaks were detected over 90% of the time in duplicate samples. The overall coefficient of variation was < or = 0.17% for each chip for the internal standard and < or = 0.29% for the unknown proteins. Seven candidate protein ion masses frequently expressed in NAF were identified. Three (5,200-H4, p=.04, 11,880-H4, p=.07 and 13,880 Da-SAX, p=.03) were differentially expressed in women with/without breast cancer. Protein expression differed between women with/without pathologic nipple discharge (PND), but the 5,200, 11,880 and 13,880 proteins remained associated with breast cancer even if PND samples were excluded. Subset analysis identified differences in expression between benign disease and DCIS and between DCIS and invasive cancer for the 5,200 and 33,400 Da proteins. The best cancer detection model included age, parity and the 11,880 Da protein, and excluded women with PND. 1) NAF proteomic analysis using SELDI-TOF is reproducible with the same sample set across different platforms, 2) differential proteomic expression exists between women/without breast cancer and 3) combining proteomic and clinical information that are available before surgery optimizes the prediction of which women have breast cancer.

Adult↗

PubMed2026

Elucidating the In Vitro Adverse Effect of Functionalized Single-Walled Carbon Nanotubes Against Breast Cancer Cells at the Proteomics Level.

The tremendous therapeutic potential of carbon-based nanomaterials (CNMs) has been limited by inconsistent data regarding the nanotoxicity assessment. Although a bulk of studies have been performed to assess the in vitro cytotoxicity mechanism of CNMs, the exact factors responsible for the cytotoxicity of CNMs have not been fully understood. With the rapid advancement of mass spectrometry technologies, proteomics has emerged as a powerful strategy for systematically investigating the molecular and cellular mechanisms underlying toxicity induced by nanomaterials. This study examined the in vitro cytotoxicity of single-walled carbon nanotubes (SWCNTs) in human MCF-7 breast cancer cells by conducting a comparative proteome-level analysis using mass spectrometry. Initially, the characterized SWCNTs were incubated with MCF-7 cells for 3, 6, and 24 h. Proteins were subsequently extracted from each treatment group and subjected to nano-liquid chromatography-tandem mass spectrometry (nLC-MS/MS) analysis. The relative abundance of the identified proteins was determined by comparison with the control group, and differential expression patterns, including upregulated and downregulated proteins, were assessed. A total of 3482 unique protein groups were identified across all exposure periods. Among these, 3466 protein groups were detected following 3 h of exposure, 3469 following 6 h of exposure, and 3480 following 24 h of exposure. Compared with the control group, the identified differentially expressed proteins exhibited fold changes ranging from 2-fold to 20-fold across the incubation periods. In total, 70 proteins were found to be significantly regulated following SWCNT exposure. Of the differentially expressed proteins, 45 were significantly upregulated, whereas 25 were significantly downregulated. Visualization of these regulations over time was shown in a heatmap of log2-transformed fold-change values to explore time-specific proteomic alterations. Functional enrichment analysis of these proteins also showed that the regulated proteins were significantly associated with Reactome pathways, including ER-to-Golgi anterograde transport, Golgi-to-ER retrograde transport, COPI-mediated vesicle trafficking, regulation of insulin-like growth factor transport and uptake by insulin-like growth factor-binding proteins, protein metabolism, and posttranslational protein modification. Furthermore, a systematic comparison of previous studies within the present findings was provided to situate our study within the broader context of understanding CNT-induced cellular toxicity. Collectively, these findings provided an important proteomic evidence of the adverse effects of SWCNTs on MCF-7 cells. Furthermore, this study showed a comprehensive proteomic landscape of cellular responses to SWCNT exposure, contributing to a better understanding of the molecular mechanisms underlying SWCNT-induced cytotoxicity and bridging the gap between protein regulation and the resulting cellular responses. In this study, we characterized the proteomic landscape of MCF-7 cells following SWCNT exposure, revealing molecular mechanisms associated with cellular responses and cytotoxicity. The identified differentially expressed proteins established a link between altered protein regulation and SWCNT-induced cellular effects. Moreover, these proteins need to be further validated in different cell models and would potentially represent promising candidates for the identification of novel molecular targets involved in SWCNT-induced cytotoxicity.

MCF‐7 cells↗

PubMed2004

Plant proteome analysis.

Proteome analysis is becoming a powerful tool in the functional characterization of plants. Due to the availability of vast nucleotide sequence information and based on the progress achieved in sensitive and rapid protein identification by mass spectrometry, proteome approaches open up new perspectives to analyze the complex functions of model plants and crop species at different levels. In this review, an overview is given on proteome studies performed to analyze whole plants or specific tissues with particular emphasis on important physiological processes such as germination. The chapter on subcellular proteome analysis of plants focuses on the progress achieved for plastids and mitochondria but also mentions the difficulties associated with membrane-bound proteins of these organelles. Separate chapters are dedicated to the challenging analysis of woody plants and to the use of proteome approaches to investigate the interaction of plants with pathogens or with symbiotic organisms. Limitations of current techniques and recent conceptual and technological perspectives for plant proteomics are briefly discussed in the final chapter.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2004

Web-accessible proteome databases for microbial research.

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

Bacterial Proteins↗

PubMed2004

Quantitative proteome profiling during the fermentation process of pleiotropic Bacillus subtilis mutants.

Using a combined quantitative proteomic and bioinformatic approach, we monitored the cytoplasmic proteome profile of the Gram-positive bacterium Bacillus subtilis during a fermentation process in complex medium. Proteome signatures were applied to elucidate the physiological changes occurring in the gene expression profile during growth. Furthermore, we determined the significance level of quantitative proteome changes, identified relative to the threshold of scatter in replicated samples and developed a statistically rigorous method that allowed us to determine significant fold-changes at 95% confidence between different proteomes. Different functional groups of proteins were clustered according to their pattern of significant expression changes. The largest group is induced by the exhaustion of glucose and the presence of alternative carbon and nitrogen sources. Furthermore, depletion of glucose caused the induction of the trichloroacetic acid (TCA) cycle enzymes and the downregulation of glycolytic enzymes. The onset of the transition phase may be provoked by amino acid starvation, resulting in the RelA-dependent repression of proteins involved in the translation process and in the induction of amino acid biosynthetic pathways. Comparisons between the parental strain and two subtilisin-hypersecreting strains revealed only small cytoplasmic differences in the main metabolic pathways. Instead, the overproduction of degradative enzymes in both of these mutants was reflected in the extracellular proteome.

Bacillus subtilis↗

PubMed2004

Quantify this! Report on a round table discussion on quantitative mass spectrometry in proteomics.

Following the success of the first round table in 2001, the Swiss Proteomic Society has organized two additional specific events during its last two meetings: a proteomic application exercise in 2002 and a round table in 2003. Such events have as their main objective to bring together, around a challenging topic in mass spectrometry, two groups of specialists, those who develop and commercialize mass spectrometry equipment and software, and expert MS users for peptidomics and proteomics studies. The first round table (Geneva, 2001) entitled "Challenges in Mass Spectrometry" was supported by brief oral presentations that stressed critical questions in the field of MS development or applications (Stöcklin and Binz, Proteomics 2002, 2, 825-827). Topics such as (i) direct analysis of complex biological samples, (ii) status and perspectives for MS investigations of noncovalent peptide-ligant interactions; (iii) is it more appropriate to have complementary instruments rather than a universal equipment, (iv) standardization and improvement of the MS signals for protein identification, (v) what would be the new generation of equipment and finally (vi) how to keep hardware and software adapted to MS up-to-date and accessible to all. For the SPS'02 meeting (Lausanne, 2002), a full session alternative event "Proteomic Application Exercise" was proposed. Two different samples were prepared and sent to the different participants: 100 micro g of snake venom (a complex mixture of peptides and proteins) and 10-20 micro g of almost pure recombinant polypeptide derived from the shrimp Penaeus vannamei carrying an heterogeneous post-translational modification (PTM). Among the 15 participants that received the samples blind, eight returned results and most of them were asked to present their results emphasizing the strategy, the manpower and the instrumentation used during the congress (Binz et. al., Proteomics 2003, 3, 1562-1566). It appeared that for the snake venom extract, the quality of the results was not particularly dependant on the strategy used, as all approaches allowed Lication of identification of a certain number of protein families. The genus of the snake was identified in most cases, but the species was ambiguous. Surprisingly, the precise identification of the recombinant almost pure polypeptides appeared to be much more complicated than expected as only one group reported the full sequence. Finally the SPS'03 meeting reported here included a round table on the difficult and challenging task of "Quantification by Mass Spectrometry", a discussion sustained by four selected oral presentations on the use of stable isotopes, electrospray ionization versus matrix-assisted laser desorption/ionization approaches to quantify peptides and proteins in biological fluids, the handling of differential two-dimensional liquid chromatography tandem mass spectrometry data resulting from high throughput experiments, and the quantitative analysis of PTMs. During these three events at the SPS meetings, the impressive quality and quantity of exchanges between the developers and providers of mass spectrometry equipment and software, expert users and the audience, were a key element for the success of these fruitful events and will have definitively paved the way for future round tables and challenging exercises at SPS meetings.

Animals↗

PubMed2005

Renal and urinary proteomics: current applications and challenges.

During the past few years, proteomics has been extensively applied to various fields of medicine including nephrology. Current applications of renal and urinary proteomics are to better understand renal physiology, to explore the complexity of disease mechanisms, and to identify novel biomarkers and new therapeutic targets. This review provides some examples and perspectives of how proteomics can be applied to nephrology and how experimental data can be linked to physiology, functional significance and clinical applications. In some instances, proteomic analysis can be utilized to generate a new hypothesis from a set of candidates that are obtained from expression studies. The new hypothesis can then be addressed rapidly by conventional molecular biology methods, as demonstrated by identification of an altered renal elastin-elastase system in diabetic nephropathy and alterations in the renal kallikrein-kallistatin pathway in hypoxia-induced hypertension. The strengths and limitations of proteomics in renal research are summarized. Optimization of analytical protocols is required to overcome current limitations. Applications of proteomics to nephrology will then be more fruitful and successful.

Animals↗

PubMed2005

A comparative study of Bacillus cereus, Bacillus thuringiensis and Bacillus anthracis extracellular proteomes.

Bacillus cereus, Bacillus thuringiensis and Bacillus anthracis are closely related species that share a similar genetic background but occupy different ecological niches. Virulence plasmids bearing genes coding for toxins, may explain, at least partly, this specialization. We have compared by 2-DE in the early stationary phase of growth the extracellular proteomes of three strains of these species that have lost their virulence plasmids. Proteins expected to be secreted or to belong to the cell wall or to the cytosol were found in the three proteomes. For the cell wall and cytosolic proteins located in the extracellular space, the three proteomes were similar. Cytosolic proteins included enolase, GroEL, PdhB, PdhD, SodA and others. Cell surface proteins were mainly autolysins, proteases, nucleotidases and OppAs. In contrast, the secreted proteins profiles of B. cereus and B. thuringiensis were quite different from that of B. anthracis. B. cereus and B. thuringiensis extracellular proteomes both contained large amounts of secreted degradative enzymes and toxins, including nine proteases, three phospholipases, two haemolysins and several enterotoxins. Most of the genes encoding these enzymes and toxins are controlled by the transcriptional activator PlcR. The extracellular proteome of the pXO1-, pXO2- B. anthracis 9131 strain contained only one secreted protein: the metalloprotease InhA1, also found in the proteomes of the two other strains and possibly involved in antibacterial peptide degradation.

Amino Acid Sequence↗

PubMed2006

Multi-modality of pI distribution in whole proteome.

Multi-modality of pI distribution is a common feature in different whole proteomes. Some researchers considered it relate to the proteins with different subcellular locations, indicating the result of natural selection. We explored the pI distribution of predicted proteomes (including animals, plants, bacterium, archaeans) and random proteome [random protein sequences constructed according to the special amino acid composition and molecular weight (MW) distribution of human predicted proteome]. Our results suggest that the multi-modality is the result of discrete pK(R) values for different amino acids. Amino acid composition and MW distribution of a proteome also contributes to the specific pI distribution. Although protein subcellular location was related to pI value, our analyses revealed that comparing with the random proteome, neither the multi-modality phenomenon nor the distribution bias of pI values is caused by subcellular location. It seems that the multi-modality distribution is just a mathematical fun. The blank region near the neutral pI was caused by the absence of amino acids with neutral pK(R), and suggests that the selection of amino acids with ionizable side chain might be restricted by the requirement for a special pH environment during the origin of life. From this point of view, the special distribution was the result of natural selection.

Animals↗