A proteomic view of Desulfovibrio vulgaris metabolism as determined by liquid chromatography coupled with tandem mass spectrometry

Direct LC-MS/MS was used to examine the proteins extracted from exponential or stationary phase Desulfovibrio vulgaris cells that had been grown on a minimal medium containing either lactate or formate as the primary carbon source. Across all four growth conditions, 976 gene products were identified with high confidence, which is equal to approximately 28% of all predicted proteins in the D. vulgaris genome. Bioinformatic analysis showed that the proteins identified were distributed among almost all functional classes, with the energy metabolism category containing the greatest number of identified proteins. At least 154 ORFs originally annotated as hypothetical proteins were found to encode the expressed proteins, which provided verification for the authenticity of these hypothetical proteins. Proteomic analysis showed that proteins potentially involved in ATP biosynthesis using the proton gradient across membrane, such as ATPase, alcohol dehydrogenases, heterodisulfide reductases, and [NiFe] hydrogenase (HynAB-1) of the hydrogen cycling were highly expressed in all four growth conditions, suggesting they may be the primary pathways for ATP synthesis in D. vulgaris. Most of the enzymes involved in substrate-level phosphorylation were also detected in all tested conditions. However, no enzyme involved in CO cycling or formate cycling was detected, suggesting that they are not the primary ATP-biosynthesis pathways under the tested conditions. This study provides the first proteomic overview of the cellular metabolism of D. vulgaris.The complete list of proteins identified in this study and their abundances (peptide hits) is provided in Supplementary Table 1.     

Separation and identification of soybean leaf proteins by two-dimensional gel electrophoresis and mass spectrometry

To establish a proteomic reference map for soybean leaves, we separated and identified leaf proteins using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry (MS). Tryptic digests of 260 spots were subjected to peptide mass fingerprinting (PMF) by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) MS. Fifty-three of these protein spots were identified by searching NCBInr and SwissProt databases using the Mascot search engine. Sixty-seven spots that were not identified by MALDI-TOF-MS analysis were analyzed with liquid chromatography tandem mass spectrometry (LC-MS/MS), and 66 of these spots were identified by searching against the NCBInr, SwissProt and expressed sequence tag (EST) databases. We have identified a total of 71 unique proteins. The majority of the identified leaf proteins are involved in energy metabolism. The results indicate that 2D-PAGE, combined with MALDI-TOF-MS and LC-MS/MS, is a sensitive and powerful technique for separation and identification of soybean leaf proteins. A summary of the identified proteins and their putative functions is discussed.     

Confirmation of the expression of a large set of conserved hypothetical proteins in Shewanella oneidensis MR-1

High-throughput "omic" technologies have allowed for a relatively rapid, yet comprehensive analysis of the global expression patterns within an organism in response to perturbations. In the current study, 9503 different tryptic peptides were identified with high confidence from capillary liquid chromatography-mass spectrometry analysis of 26 chemostat cultures of Shewanella oneidensis MR-1 under various conditions. Using at least one distinctive and a total of two total peptide identifications per protein, we detected the expression of 758 conserved hypothetical proteins. This included 359 such proteins previously described [Kolker, E., Picone, A.F., Galperin, M.Y., Romine, M.F., Higdon, R., Makarova, K.S., Kolker, N., Anderson, G.A., Qiu, X., Auberry, K.J., Babnigg, G., Beliaev, A.S., Edlefsen, P., Elias, D.A., Gorby, Y.A., Holzman, T., Klappenbach, J.A., Konstantinidis, K.T., Land, M.L., Lipton, M.S., McCue, L.A., Monroe, M., Pasa-Tolic, L., Pinchuk, G., Purvine, S., Serres, M.H., Tsapin, S., Zakrajsek, B.A., Zhu, W., Zhou, J., Larimer, F.W., Lawrence, C.E., Riley, M., Collart, F.R., Yates, J.R., III, Smith, R.D., Giometti, C.S., Nealson, K.H., Fredrickson, J.K., Tiedje, J.M., 2005. Global profiling of Shewanella oneidensis MR-1: expression of hypothetical genes and improved functional annotations. Proc Natl Acad Sci U S A 102, 2099-2104] with an additional 399 reported herein for the first time. The latter 399 proteins ranged from 5.3 to 208.3 kDa, with 44 being of 100 amino acid residues or less. Using a combination of information including peptide detection in cells grown under specific culture conditions and predictive algorithms such as PSORT and PSORT-B, possible/plausible functions are proposed for some conserved hypothetical proteins. Such proteins were found not only to be expressed, but 19 were only expressed under certain culturing conditions, thereby providing insight into potential functions. These findings also impact the genomic annotation for S. oneidensis MR-1 by confirming that these genes code for expressed proteins. Our results indicate that 399 proteins can now be upgraded from "conserved hypothetical protein" to "expressed protein in Shewanella," 19 of which appeared to be expressed under specific culture conditions.     

Study of nitrate stress in Desulfovibrio vulgaris Hildenborough using iTRAQ proteomics.

The response of Desulfovibrio vulgaris Hildenborough (DvH), a sulphate-reducing bacterium, to nitrate stress was examined using quantitative proteomic analysis. DvH was stressed with 105 mM sodium nitrate (NaNO(3)), a level that caused a 50% inhibition in growth. The protein profile of stressed cells was compared with that of cells grown in the absence of nitrate using the iTRAQ peptide labelling strategy and tandem liquid chromatography separation coupled with mass spectrometry (quadrupole time-of-flight) detection. A total of 737 unique proteins were identified by two or more peptides, representing 22% of the total DvH proteome and spanning every functional category. The results indicate that this was a mild stress, as proteins involved in central metabolism and the sulphate reduction pathway were unperturbed. Proteins involved in the nitrate reduction pathway increased. Increases seen in transport systems for proline, glycine-betaine and glutamate indicate that the NaNO(3) exposure led to both salt stress and nitrate stress. Up-regulation observed in oxidative stress response proteins (Rbr, RbO, etc.) and a large number of ABC transport systems as well as in iron-sulphur-cluster-containing proteins, however, appear to be specific to nitrate exposure. Finally, a number of hypothetical proteins were among the most significant changers, indicating that there may be unknown mechanisms initiated upon nitrate stress in DvH.     

Correlation between mRNA and protein abundance in Desulfovibrio vulgaris: a multiple regression to identify sources of variations

Parallel profiling of mRNA and protein on a global scale and integrative analysis of these two data types could provide additional insights into the metabolic mechanisms underlying complex biological systems. However, because mRNA and protein abundance are affected by many cellular and physical processes, there have been conflicting results on their correlation. Using whole-genome microarray and LC-MS/MS proteomic data collected from Desulfovibrio vulgaris grown under three different conditions, we systematically investigate the relationship between mRNA and protein abundance by a multiple regression approach, in which some of the key covariates that may affect mRNA-protein relationship were included. The results showed that mRNA abundance alone can explain only 20-28% of the total variation of protein abundance, suggesting mRNA-protein correlation can not be determined by mRNA abundance alone. Among various covariates, analytic variation of protein abundance is the major source for the variation of mRNA-protein correlation, which contributes to 34-44% of the total variation of mRNA-protein correlation. The cellular functional category of genes/proteins contributes 10-15% of the total variation of mRNA-protein correlation, with a more pronounced correlation of the two properties was observed for "central intermediary metabolism" and "energy metabolism" categories. In addition, protein stability also contributes 5% of the total variation of mRNA-protein correlation. The study presents the first quantitative analysis of the contributions of various biochemical and physical sources to the correlation of mRNA and protein abundance in D. vulgaris.     

Identification, sequence determination, and expression of the flavodoxin gene from Desulfovibrio salexigens

Restriction fragments of genomic DNA from Desulfovibrio salexigens (ATCC 14822) containing the structural gene coding for the flavodoxin protein were identified using the entire coding region of the gene for the Desulfovibrio vulgaris (Hildenborough) flavodoxin as a probe (Krey, G.D., Vanin, E.F., and Swenson, R.P. (1988) J. Biol. Chem. 263, 15436-15443). A 1.4-kb PstI-HindIII fragment was ultimately identified which contains an open reading frame coding for a polypeptide of 146 amino acid residues that was highly homologous to the D. vulgaris flavodoxin, sharing a sequence identity of 55%. When compared to the X-ray crystal structure of the D. vulgaris protein, the homologous regions were largely confined to those portions of the protein which are in the immediate vicinity of the flavin mononucleotide cofactor binding site. Tryptophan-60 and tyrosine-98, which reside on either side of the isoalloxazine ring of the cofactor, are conserved, as are the sequences of the polypeptide loop that interacts with the phosphate moiety of the flavin. Acidic residues forming the interface of model electron-transfer complexes with certain cytochrome c proteins are retained. The flavodoxin holoprotein is over-expressed in E. coli from the cloned gene using its endogenous promoter.     

Cloning and characterization of the flavodoxin gene from Desulfovibrio desulfuricans

The gene coding for the flavodoxin protein from Desulfovibrio desulfuricans [Essex 6] (ATCC 29577) has been cloned and sequenced. The gene was identified on Southern blots of HindIII-digested genomic DNA by hybridization to the coding region for the flavodoxin from Desulfovibrio vulgaris [Hildenborough] (Krey, G.D., Vanin, E.F. and Swenson, R.P. (1988) J. Biol. Chem. 263, 15436-15443). Ultimately, a 1.8 kb TaqI fragment was cloned which contains an open reading frame of 447 nucleotides coding for an acidic protein of 148 amino acids and calculated molecular weight of 15,726. The derived amino acid sequence of this protein is 47% identical to the flavodoxin from D. vulgaris. Regions of the polypeptide which form the flavin mononucleotide binding site are largely homologous; however, some perhaps significant differences are noted. The aromatic amino acid residues that flank the flavin isoalloxazine ring in the D. vulgaris structure, i.e., tryptophan-60 and tyrosine-98, are conserved in this flavodoxin.     

EPR and redox properties of Desulfovibrio vulgaris Miyazaki hydrogenase: comparison with the Ni-Fe enzyme from Desulfovibrio gigas.

We have carried out a detailed redox titration monitored by EPR on the hydrogenase from Desulfovibrio vulgaris Miyazaki. Typical 3Fe and nickel signals have been observed, which are very similar to those given by Desulfovibrio gigas hydrogenase in all the characteristic redox states of the enzyme. This confirms that D. vulgaris Miyazaki hydrogenase is a Ni-Fe enzyme closely related to that from D. gigas, as was recently proposed on the basis of sequence comparisons (Deckers, H.M., Wilson, F.R. and Voordouw, G. (1990) J. Gen. Microb. 136, 2021-2028).     

Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome

Highly complex protein mixtures can be directly analyzed after proteolysis by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). In this paper, we have utilized the combination of strong cation exchange (SCX) and reversed-phase (RP) chromatography to achieve two-dimensional separation prior to MS/MS. One milligram of whole yeast protein was proteolyzed and separated by SCX chromatography (2.1 mm i.d.) with fraction collection every minute during an 80-min elution. Eighty fractions were reduced in volume and then re-injected via an autosampler in an automated fashion using a vented-column (100 microm i.d.) approach for RP-LC-MS/MS analysis. More than 162,000 MS/MS spectra were collected with 26,815 matched to yeast peptides (7,537 unique peptides). A total of 1,504 yeast proteins were unambiguously identified in this single analysis. We present a comparison of this experiment with a previously published yeast proteome analysis by Yates and colleagues (Washburn, M. P.; Wolters, D.; Yates, J. R., III. Nat. Biotechnol. 2001, 19, 242-7). In addition, we report an in-depth analysis of the false-positive rates associated with peptide identification using the Sequest algorithm and a reversed yeast protein database. New criteria are proposed to decrease false-positives to less than 1% and to greatly reduce the need for manual interpretation while permitting more proteins to be identified.     

Recent progress in liquid chromatography-based separation and label-free quantitative plant proteomics

Recent innovations in liquid chromatography-mass spectrometry (LC-MS)-based methods have facilitated quantitative and functional proteomic analyses of large numbers of proteins derived from complex samples without any need for protein or peptide labelling. Regardless of its great potential, the application of these proteomics techniques to plant science started only recently. Here we present an overview of label-free quantitative proteomics features and their employment for analysing plants. Recent methods used for quantitative protein analyses by MS techniques are summarized and major challenges associated with label-free LC-MS-based approaches, including sample preparation, peptide separation, quantification and kinetic studies, are discussed. Database search algorithms and specific aspects regarding protein identification of non-sequenced organisms are also addressed. So far, label-free LC-MS in plant science has been used to establish cellular or subcellular proteome maps, characterize plant-pathogen interactions or stress defence reactions, and for profiling protein patterns during developmental processes. Improvements in both, analytical platforms (separation technology and bioinformatics/statistical analysis) and high throughput nucleotide sequencing technologies will enhance the power of this method.     

Discovery of regulatory molecular events and biomarkers using 2D capillary chromatography and mass spectrometry

An important component of proteomic research is the high-throughput discovery of novel proteins and protein–protein interactions that control molecular events that contribute to critical cellular functions and human disease. The interactions of proteins are essential for cellular functions. Identifying perturbation of normal cellular protein interactions is vital for understanding the disease process and intervening to control the disease. A second area of proteomics research is the discovery of proteins that will serve as biomarkers for the early detection, diagnosis and drug treatment response for specific diseases. These studies have been referred to as clinical proteomics. To discover biomarkers, proteomics research employs the quantitative comparison of peptide and protein expression in body fluids and tissues from diseased individuals (case) versus normal individuals (control). Methods that couple 2D capillary liquid chromatography (LC) and tandem mass spectrometry (MS/MS) analysis have greatly facilitated this discovery science. Coupling 2D-LC/MS/MS analysis with automated genome-assisted spectra interpretation allows a direct, high-throughput and high-sensitivity identification of thousands of individual proteins from complex biological samples. The systematic comparison of experimental conditions and controls allows protein function or disease states to be modeled. This review discusses the different purification and quantification strategies that have been developed and used in combination with 2D-LC/MS/MS and computational analysis to examine regulatory protein networks and clinical samples.     

Discovery of regulatory molecular events and biomarkers using 2D capillary chromatography and mass spectrometry

An important component of proteomic research is the high-throughput discovery of novel proteins and protein-protein interactions that control molecular events that contribute to critical cellular functions and human disease. The interactions of proteins are essential for cellular functions. Identifying perturbation of normal cellular protein interactions is vital for understanding the disease process and intervening to control the disease. A second area of proteomics research is the discovery of proteins that will serve as biomarkers for the early detection, diagnosis and drug treatment response for specific diseases. These studies have been referred to as clinical proteomics. To discover biomarkers, proteomics research employs the quantitative comparison of peptide and protein expression in body fluids and tissues from diseased individuals (case) versus normal individuals (control). Methods that couple 2D capillary liquid chromatography (LC) and tandem mass spectrometry (MS/MS) analysis have greatly facilitated this discovery science. Coupling 2D-LC/MS/MS analysis with automated genome-assisted spectra interpretation allows a direct, high-throughput and high-sensitivity identification of thousands of individual proteins from complex biological samples. The systematic comparison of experimental conditions and controls allows protein function or disease states to be modeled. This review discusses the different purification and quantification strategies that have been developed and used in combination with 2D-LC/MS/MS and computational analysis to examine regulatory protein networks and clinical samples.     

Response of the anaerobe Desulfovibrio vulgaris Hildenborough to oxidative conditions: proteome and transcript analysis

The method of two-dimensional protein gel electrophoresis was used to evaluate the changes at the proteins level following oxygen exposure of the anaerobic sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough. Fifty-seven proteins showed significant differential expression. The cellular concentration of 35 proteins decreased while that of nineteen increased as a specific consequence of oxidative conditions. The proteins that were less abundant belonged to various functional categories such as nucleic acid and protein biosynthesis, detoxification mechanisms, or cell division. Interestingly, quantitative real-time PCR revealed that the genes encoding detoxification enzymes (rubrerythrins, superoxide reductase) are down regulated. The loss of viability of D. vulgaris Hildenborough under these oxidative conditions (Fournier et al., J. Biol. Chem. 279 (2004) 1785) can be directly related to the decrease in the cellular concentrations of these proteins, thereby specifying the toxicity of oxygen for the cells. Among the proteins that were more abundant under oxygen exposure, several thiol-specific peroxidases (thiol-peroxidase, BCP-like protein, and putative glutaredoxin) were identified. Using RT-PCR, the up-regulation of the genes encoding the thiol-peroxidase and the BCP was demonstrated. That is the first time that these proteins have been shown to be involved in the defense of D. vulgaris toward an oxidative stress. Several hypothetical proteins were also shown to be differentially expressed. A function in the defense mechanism against an oxidative stress is proposed for these uncharacterized proteins.     

Proteomic analysis of Trypanosoma cruzi developmental stages using isotope-coded affinity tag reagents

Comparative proteome analysis of developmental stages of the human pathogen Trypanosoma cruzi was carried out by isotope-coded affinity tag technology (ICAT) associated with liquid cromatography-mass spectrometry peptide sequencing (LC-MS/MS). Protein extracts of the protozoan trypomastigote and amastigote stages were labeled with heavy (D8) and light (D0) ICAT reagents and subjected to cation exchange and avidin affinity chromatographies followed by LC-MS/MS analysis. High confidence sequence information and expression levels for 41 T. cruzi polypeptides, including metabolic enzymes, paraflagellar rod components, tubulins, and heat-shock proteins were reported. Twenty-nine proteins displayed similar levels of expression in both forms of the parasite, nine proteins presented higher levels in trypomastigotes, whereas three were more expressed in amastigotes.     

The [NiFeSe] hydrogenase from Desulfovibrio vulgaris Hildenborough is a bacterial lipoprotein lacking a typical lipoprotein signal peptide

Desulfovibrio vulgaris Hildenborough has a membrane-bound [NiFeSe] hydrogenase whose mode of membrane association was unknown since it is constituted by two hydrophilic subunits. This work shows that this hydrogenase is a bacterial lipoprotein bound to the membrane by lipidic groups found at the N-terminus of the large subunit, which is unusual since it is missing the typical lipoprotein signal peptide. Nevertheless, the large subunit has a conserved four residue lipobox and its synthesis is sensitive to the signal peptidase II inhibitor globomycin. The D. vulgaris [NiFeSe] hydrogenase is the first example of a bacterial lipoprotein translocated through the Tat pathway.     

The human pituitary nitroproteome: detection of nitrotyrosyl-proteins with two-dimensional Western blotting, and amino acid sequence determination with mass spectrometry

Nitric oxide is an important mediator that participates in reduction-oxidation (redox) mechanisms and in cellular signal transduction pathways. Two types of post-translational modifications are induced by nitric oxide: S-nitrosylation of cysteine residues and nitration of tyrosine residues. Two-dimensional gel electrophoresis-based Western blotting was used to detect, and liquid chromatography (LC)-tandem mass spectrometry (MS/MS) to determine the amino acid sequence of, several different nitrated proteins in the human pituitary. Proteins from several 2D gel spots, which corresponded to the strongly positive anti-nitrotyrosine Western blot spots, were subjected to in-gel trypsin-digestion and LC-MS/MS analysis. MS/MS, SEQUEST analysis, and de novo sequencing were used to determine the nitration site of each nitrated peptide. A total of four different nitrated peptides were characterized and were matched to four different proteins: synaptosomal-associated protein, actin, immunoglobulin alpha Fc receptor, and cGMP-dependent protein kinase 2. Those nitrotyrosyl-proteins participate in neurotransmission, cellular immunity, and cellular structure and mobility.     

IPEP: an in silico tool to examine proteolytic peptides for mass spectrometry

Peptide-based proteomics supports identification and quantification as well as localization of post-translational modifications (PTMs) within proteins extracted from biological samples. The 'bottom-up' approach involves the digestion of proteins into peptide fragments that can be detected and sequenced with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). A web-based application, iPEP, was developed to compare the effectiveness of different proteolytic digests in detecting specific sequences. Furthermore, peptide populations can be examined to help optimize detection of certain groups of proteins relative to the proteome and the digested peptidome. The application reports proteolytic peptide sequences, theoretical molecular weights and functional annotations using Gene Ontology (GO) terms. The iPEP tool can assist with experimental design by maximizing the detection of proteins, consensus sites and modified residues of interest for individual proteins or as part of large-scale proteomic assays. AVAILABILITY: http://ipep.moffitt.org