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The phosphate-starvation response in Vibrio cholerae O1 and phoB mutant under proteomic analysis: disclosing functions involved in adaptation, survival and virulence.

A proteomic analysis of a wild-type and of a phoB mutant showed that Vibrio cholerae expresses genes of two major regulons in response to phosphate starvation. The Pho regulon, expressed by the wild-type, allowed the cells to adapt to the new environment. Induction of the general stress regulon was mainly observed in the phoB mutant as a strategy to resist stress and survive. Some functions of the adaptative and survival responses play roles in the pathogenicity of the bacteria. Among the members of the Pho regulon, we found a porin described as an important factor for the intestinal colonisation. Other functions not obviously related to phosphate metabolism, expressed preferentially by the wild-type cells, have also been implicated in virulence. These findings might explain the lack of virulence of the phoB mutant. The Pho regulon picture of V. cholerae, however, will not be complete until minor members and membrane proteins are identified. Among the phosphate-starvation induced genes we have found 13 hypothetical ones and for some of them functions have been assigned. The majority of the genes identified here have not been described before, thus they could be used to expand the proteomic reference map of V. cholerae El Tor.

Adaptation, Physiological↗

Proteomic dissection of potential signal recognition particle dependence in protein secretion by Bacillus subtilis.

The bacterial signal recognition particle (SRP)-dependent pathway is believed to be a major targeting route for membrane proteins, as well as for subsets of secretory proteins. The present studies were aimed at an assessment of the role of two key components of SRP, namely Ffh and FtsY, in protein secretion by the Gram-positive bacterium Bacillus subtilis. Our results show that both components are important for the extracellular accumulation of proteins containing known signal peptides. Remarkably, extracellular accumulation of individual proteins was affected to different extents by depletion of Ffh or FtsY, at least under the conditions tested. Moreover, the observed Ffh or FtsY dependence of certain secretory proteins did not seem to correlate with signal peptide length or hydrophobicity. Although it is presently difficult to distinguish between direct and indirect effects, these findings suggest that other, yet unidentified, determinants in secretory proteins are also important for their SRP dependence. High-level production of homologous and heterologous secretory proteins was shown to result in elevated cellular Ffh and FtsY levels. This phenomenon is, most likely, due to post-transcriptional regulation. In conclusion, the present proteomic dissection of SRP-dependent extracellular protein accumulation provides exciting leads to identify novel determinants for interactions between secretory proteins and SRP.

Bacillus subtilis↗

Proteomic search for potential diagnostic markers and therapeutic targets for ovarian clear cell adenocarcinoma.

Clear cell adenocarcinoma (CCA) has a highly malignant potential in human epithelial ovarian cancer. The serum CA-125 is widely used as a marker for ovarian cancer, but the level is relatively low in CCA. Therefore, new sensitive biomarkers are required. In this report, we describe a promising proteomic analysis that is differentially expressed in CCA when compared to mucinous adenocarcinoma, using the ovarian cultured cell lines OVISE, OVTOKO, and MCAS. The disease-associated proteins were identified by 2-D differential gel electrophoresis (2-D DIGE) and MS. In this analysis, 18 up-regulated and 31 down-regulated spots were observed that had at least two-fold differences in the two CCA cell lines than in MCAS as control cells. Some of the proteins differentially expressed in CCA were previously observed as alternative expression levels in ovarian and/or other cancers in clinical samples. In a subsequent preliminary differential study using surgical specimens from patients with CCA, it was demonstrated that the identified proteins were expressed differentially in actual tissues, as well as in the CCA culture cells. The results from this investigation show the potentiality of a proteomic approach for identifying disease-associated proteins, which may eventually serve as diagnostic markers or therapeutic targets in CCA.

Adenocarcinoma, Clear Cell↗

Proteomic profiling of human stem cells derived from umbilical cord blood.

CD34+ preparations from five different umbilical cord samples were compared with respect to their proteome profile using 2-D gel electrophoresis. Fifty-two protein spots were found to match in all preparations referring to the high heterogeneity of such samples indicating a not fully developed (or instable) proteome of stem cells. All matching spots were subjected to in-gel digestion and nano-LC-MS/MS sequence analysis, from which 22 proteins were unambiguously identified.

Cells, Cultured↗

Integrated proteomics and genomics strategies bring new insight into Candida albicans response upon macrophage interaction.

The interaction of Candida albicans with macrophages is considered a crucial step in the development of an adequate immune response in systemic candidiasis. An in vitro model of phagocytosis that includes a differential staining procedure to discriminate between internalized and non-internalized yeast was developed. Upon optimization of a protocol to obtain an enriched population of ingested yeasts, a thorough genomics and proteomics analysis was carried out on these cells. Both proteins and mRNA were obtained from the same sample and analyzed in parallel. The combination of two-dimensional PAGE with MS revealed a total of 132 differentially expressed yeast protein species upon macrophage interaction. Among these species, 67 unique proteins were identified. This is the first time that a proteomics approach has been used to study C. albicans-macrophage interaction. We provide evidence of a rapid protein response of the fungus to adapt to the new environment inside the phagosome by changing the expression of proteins belonging to different pathways. The clear down-regulation of the carbon-compound metabolism, plus the up-regulation of lipid, fatty acid, glyoxylate, and tricarboxylic acid cycles, indicates that yeast shifts to a starvation mode. There is an important activation of the degradation and detoxification protein machinery. The complementary genomics approach led to the detection of specific pathways related to the virulence of Candida. Network analyses allowed us to generate a hypothetical model of Candida cell death after macrophage interaction, highlighting the interconnection between actin cytoskeleton, mitochondria, and autophagy in the regulation of apoptosis. In conclusion, the combination of genomics, proteomics, and network analyses is a powerful strategy to better understand the complex host-pathogen interactions.

Animals↗

Characterization of the microtubule proteome during post-diapause development of Artemia franciscana.

The microtubule proteome encompasses tubulin and a diverse group of proteins which associate with tubulin upon microtubule formation. These proteins either determine microtubule organization and function or their activity is influenced by microtubule association. To characterize the microtubule proteome in Artemia franciscana, tubulin assembly was induced with taxol in vitro after 0 and 12 h of post-diapause development. Proteins obtained by extraction of microtubules with 0.5 M NaCl were electrophoresed in two-dimensional gels and analyzed by mass spectrometry. Fifty-five proteins were identified with 10 of these occurring at both developmental stages, and multiple isoforms were observed for some proteins of the Artemia proteome. Their functions include roles in membrane transport, metabolism, chaperoning and protein synthesis, thus reflecting physiological properties of encysted Artemia such as stress resistance and the ability to rapidly initiate post-diapause development. For example, chaperones may protect tubulin during encystment and facilitate folding in metabolically active embryos. Additionally, the interaction of metabolic enzymes with microtubules funnels reaction intermediates, potentially enhancing efficiency within biochemical processes. This study represents the first systematic characterization of a crustacean microtubule proteome. Although it is difficult to be certain that all protein associations documented herein occur in vivo, the results suggest how protein-protein interactions contribute to cytoplasmic organization while implying how Artemia embryos resist stress and remain capable of development once diapause terminates.

Animals↗

Comparative proteomic profiles and the potential markers between Burkholderia pseudomallei and Burkholderia thailandensis.

Burkholderia pseudomallei is a bacterial pathogen causing the melioidosis disease, which is predominantly found in tropical areas of Southeast Asia and Northern Australia. Burkholderia thailandensis is a closely related species to B. pseudomallei but it is non-pathogenic species. In this study, we have constructed a proteome reference map of B. pseudomallei at the stationary phase of growth by using two-dimensional gel electrophoresis with a pH 4-7 immobilized pH gradient combined with matrix-assisted laser desorption ionization time of flight mass spectrometry. Approximately 550 spots could be detected by Coomassie brilliant blue G-250 staining, and 88 spots representing 77 unique proteins were identified. Eleven of the gene products were found in multiple spots indicating as isoforms. In attempt to detect distinctive expressed proteins between a virulent and a non-virulent species, the use of comparative proteomic profiles under the same condition were performed. We could identify more than 20 different spots. Twelve out of 14 spots are detected in B. pseudomallei and six proteins have been identified and indicated that they are involved in virulent characters of bacteria. Two hypothetical proteins were expressed and found only in B. pseudomallei. These proteins are potential markers to distinguish between these two species. Our study also provides a useful information of global intracellular protein expression and is a valuable starting point for analyzing a proteomic pathogenicity of the bacterial pathogen.

Amino Acid Sequence↗

Protein alkylation in the presence/absence of thiourea in proteome analysis: a matrix assisted laser desorption/ionization-time of flight-mass spectrometry investigation.

Although it is highly recommended that reduction and alkylation of free -SH groups in proteins should be performed prior to any electrophoretic step (including the first isoelectric focusing/immobilized pH gradient (IEF/IPG) dimension), it is here reported that one component of the sample solubilization cocktail adopted recently (namely thiourea) strongly quenches such alkylation process (as typically carried out with iodoacetamide, IAA). The present matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) analysis demonstrates that thiourea is an effective scavenger of IAA, since its sulfur atom reacts as efficiently as the ionized, free -SH group of Cys in proteins at alkaline pH values (pH 8.5-9.0). As a result of this reaction, free IAA is quickly depleted by thiourea, via the formation of an intermediate adduct, which is rapidly deamidated to form the cyclic compound thiazolinidone monoimine. This reaction strongly competes with the direct addition reaction of IAA onto the -SH group in proteins, resulting in poorly alkylated proteins. It is, therefore, recommended that, whenever possible and compatible with the type of sample, thiourea should be omitted from the solubilizing cocktail in proteome analysis. However, after proper sample reduction and alkylation, thiourea can be incorporated into the IEF/IPG gel, where it will have the beneficial effect of augmenting protein solubility at their pI values and scavenging the excess of free IAA.

Alkylation↗

SAP deficiency results in a striking alteration of the protein profile in activated CD4 T cells.

Deficiency in a protein called signaling lymphocytic activation molecule-associated protein (SAP) causes X-linked lymphoproliferative disease (XLP) and helper T cell-dependent antibody defects. To identify proteins regulated by SAP, we performed proteomic analyses of SAP deficient vs wild type T cells. Our results reveal protein species whose abundances are profoundly altered by SAP. Our work therefore identifies candidate cellular mediators of SAP-dependent T cell help.

Animals↗

Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

BACKGROUND: We investigated the potential of proteomic fingerprinting with mass spectrometric serum profiling, coupled with pattern recognition methods, to identify biomarkers that could improve diagnosis of tuberculosis. METHODS: We obtained serum proteomic profiles from patients with active tuberculosis and controls by surface-enhanced laser desorption ionisation time of flight mass spectrometry. A supervised machine-learning approach based on the support vector machine (SVM) was used to obtain a classifier that distinguished between the groups in two independent test sets. We used k-fold cross validation and random sampling of the SVM classifier to assess the classifier further. Relevant mass peaks were selected by correlational analysis and assessed with SVM. We tested the diagnostic potential of candidate biomarkers, identified by peptide mass fingerprinting, by conventional immunoassays and SVM classifiers trained on these data. FINDINGS: Our SVM classifier discriminated the proteomic profile of patients with active tuberculosis from that of controls with overlapping clinical features. Diagnostic accuracy was 94% (sensitivity 93.5%, specificity 94.9%) for patients with tuberculosis and was unaffected by HIV status. A classifier trained on the 20 most informative peaks achieved diagnostic accuracy of 90%. From these peaks, two peptides (serum amyloid A protein and transthyretin) were identified and quantitated by immunoassay. Because these peptides reflect inflammatory states, we also quantitated neopterin and C reactive protein. Application of an SVM classifier using combinations of these values gave diagnostic accuracies of up to 84% for tuberculosis. Validation on a second, prospectively collected testing set gave similar accuracies using the whole proteomic signature and the 20 selected peaks. Using combinations of the four biomarkers, we achieved diagnostic accuracies of up to 78%. INTERPRETATION: The potential biomarkers for tuberculosis that we identified through proteomic fingerprinting and pattern recognition have a plausible biological connection with the disease and could be used to develop new diagnostic tests.

Adolescent↗

De novo biosynthetic profiling of high abundance proteins in cystic fibrosis lung epithelial cells.

In previous studies with cystic fibrosis (CF) IB3-1 lung epithelial cells in culture, we identified 194 unique high abundance proteins by conventional two-dimensional gel electrophoresis and mass spectrometry (Pollard, H. B., Ji, X.-D., Jozwik, C. J., and Jacobowitz, D. M. (2005) High abundance protein profiling of cystic fibrosis lung epithelial cells. Proteomics 5, 2210-2226). In the present work we compared the IB3-1 cells with IB3-1/S9 daughter cells repaired by gene transfer with AAV-(wild type)CFTR. We report that gene transfer resulted in significant changes in silver stain intensity of only 20 of the 194 proteins. However, simultaneous measurement of de novo biosynthetic rates with [(35)S]methionine of all 194 proteins in both cell types resulted in the identification of an additional 31 CF-specific proteins. Of the 51 proteins identified by this hybrid approach, only six proteins changed similarly in both the mass and kinetics categories. This kinetic portion of the high abundance CF proteome, hidden from direct analysis of abundance, included proteins from transcription and signaling pathways such as NFkappaB, chaperones such as HSC70, cytoskeletal proteins, and others. Connectivity analysis indicated that approximately 30% of the 51-member hybrid high abundance CF proteome interacts with the NFkappaB signaling pathway. In conclusion, measurement of biosynthetic rates on a global scale can be used to identify disease-specific differences within the high abundance cystic fibrosis proteome. Most of these kinetically defined proteins are unaffected in expression level when using conventional silver stain analysis. We anticipate that this novel hybrid approach to discovery of the high abundance CF proteome will find general application to other proteomic problems in biology and medicine.

Cell Line↗

Dynamic simulation of protein complex formation on a genomic scale.

MOTIVATION: One of the central questions in the post-genomic era is the understanding of protein-protein interactions and of protein complex formation. It has been observed that protein complex size distributions of the yeast Saccharomyces cerevisiae decay exponentially. The shape of these size distributions reflects mechanisms of protein complex association and dissociation. RESULTS: We present the most simple dynamic model that is able to reproduce the observed protein complex size distribution for yeast. This protein association-dissociation model (PAD-model) simulates the dynamics of protein complex formation on a genomic scale for about 50 million protein molecules. By ruling out different model variants it is possible to elucidate fundamental features of the protein complex dynamics, e.g. complex association is independent of complex size. In addition, the PAD-model provides information about the complexity of the yeast proteome and it gives an idea of how many complexes could not be identified during the measurements. AVAILABILITY: All programs used for this publication are available on request from the authors. CONTACT: beyer@imb-jena.de SUPPLEMENTARY INFORMATION: Supplementary information about the model and its interpretation can be downloaded from http://www.imb-jena.de/tsb/pad.

Computer Simulation↗

Informatic tools for proteome profiling.

In recent years, the practice of proteomics research has experienced a dramatic shift within the pharmaceutical and biotechnology industry with the widespread implementation of novel applications. The areas of interest extend all the way from discovery of novel drug, vaccine, and diagnostic targets, characterization of protein-based products, toxicology, and identification of surrogate markers of activity in clinical research, to the ability to provide information on the mechanisms of drug action. The power of two-dimensional gel electrophoresis as well as advances in mass spectrometric techniques combined with sequence database correlation have enabled speed and accuracy in identification of proteins in complex mixtures. This article surveys currently available software and informatic tools related to these methods for proteome profiling. The broad acceptance of these technologies, however, has not been accompanied by significant advances in the informatics and software tools necessary to support the analysis and management of the massive amounts of data generated in the process. In this context, this article also discusses the importance of relational databases for protein identification data management.

Biotechnology↗

Profiling the alkaline membrane proteome of Caulobacter crescentus with two-dimensional electrophoresis and mass spectrometry.

Attempts at protein profiling in the alkaline pH region using isoelectric focusing have often proved difficult, greatly limiting the scope of proteome analysis. We investigated several parameters using custom pH 8-11 immobilized pH gradients to separate a Caulobacter crescentus membrane preparation. These included sample application, quenching endoosomotic flow and gel matrix composition. Among these factors, the sample application position was the predominant parameter to affect two-dimensional gel quality. Separated proteins were silver stained and profiled using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. The use of a prototype MALDI-Q-Tof mass spectrometer assisted identification of several proteins by providing highly informative peptide fragmentation data from the sample digests. Thirty-two unique alkaline proteins were identified in this study, which complements our previously described C. crescentus membrane proteome. Our experiments point towards new options for proteomic researchers aiming to both extend the scope of analysis, and simplify methods of identifying proteins with high confidence.

2-Propanol↗

Identification of G2/M targets for the MAP kinase pathway by functional proteomics.

Although the importance of the extracellular signal-regulated kinase (ERK) pathway in regulating the transition from G1 to S has been extensively studied, its role during the G2/M transition is less well understood. Previous reports have shown that inhibition of the ERK pathway in mammalian cells delays entry as well as progression through mitosis, suggesting the existence of molecular targets of this pathway in M phase. In this report we employed 2-DE and MS to survey proteins and PTMs in the presence versus absence of MKK1/2 inhibitor. Targets of the ERK pathway in G2/M were identified as elongation factor 2 (EF2) and nuclear matrix protein, 55 kDa (Nmt55). Phosphorylation of each protein increased under conditions of ERK pathway inhibition, suggesting indirect control of these targets; regulation of EF2 was ascribed to phosphorylation and inactivation of upstream EF2 kinase, whereas regulation of Nmt55 was ascribed to a delay in normal mitotic phosphorylation and dephosphorylation. 2-DE Western blots probed using anti-phospho-Thr-Pro antibody demonstrated that the effect of ERK inhibition is not to delay the onset of phosphorylation controlled by cdc2 and other mitotic kinases, but rather to regulate a small subset of targets in M phase in a nonoverlapping manner with cdc2.

Amino Acid Sequence↗

Proteome analysis of the model microsymbiont Sinorhizobium meliloti: isolation and characterisation of novel proteins.

Sinorhizobium meliloti is an agriculturally and ecologically important microbe due to its capacity to establish nitrogen-fixing symbiosis with plant legumes. Two-dimensional gel electrophoresis of total cellular protein was used to establish a proteome reference map for the model microsymbiont Sinorhizobium meliloti strain 1021. The extent of changes in the gene expression of cells grown in a defined medium at different growth phases was established. After examination of over 2000 resolved protein spots, a minimum of 52 reproducible changes in protein expression levels were detected when early exponential phase cells were compared to late exponential phase cells. In contrast, induction of nodulation gene expression by the addition of the flavonoid luteolin to cells did not result in detectable changes in protein expression at either early or late exponential phase. N-terminal microsequencing of eighteen unknown constitutive proteins plus four proteins, induced or up-regulated in late exponential phase cells, allowed the identification of proteins not previously described in rhizobia. These included an amide-binding protein, a putative hydrolase of the glyoxalase II protein family, a nucleoside diphosphate kinase, and a 5'-nucleotidase. N-terminal microsequencing was also valuable in revealing N-terminal post-translational processing and assigning a subcellular location to the analysed protein. Proteome analysis will provide a powerful analytical tool to complement the sequencing of the genome of strain 1021.

Amino Acid Sequence↗

Proteome of conidial surface associated proteins of Aspergillus fumigatus reflecting potential vaccine candidates and allergens.

Aspergillus fumigatus is a mold causing most of the invasive fungal lung infections in the immunocompromised host. In addition, the species is the causative agent of certain allergic diseases. Both in invasive and in allergic diseases, the conidial surface mediates the first contact with the human immune system. Thus, conidial surface proteins may be reasonable vaccine candidates as well as important allergens. To broaden the list of those antigens, intact viable Aspergillus conidia were extracted with mild alkaline buffer at pH 8.5 in the presence of a 1,3-beta-glucanase. The proteome of this fraction was separated by two- dimensional gel electrophoresis (2-DE) and analyzed by liquid chromatography coupled with tandem mass spectrometry. Altogether 26 different A. fumigatus proteins were identified, twelve of which contain a signal for secretion. Among these were the known major conidial surface protein rodlet A, one acid protease PEP2, one lipase, a putative disulfide isomerase and a putative fructose-1,6-biphosphatase. The known allergen Aspf 3 was identified among the proteins without a signal for secretion. On the basis of the recently annotated A. fumigatus genome (Nature 2005, 438, 1151-1156), proteome analysis is now a powerful tool to confirm expression of hypothetical proteins and, thereby to identify additional vaccine candidates and possible new allergens of this important fungal pathogen.

Allergens↗

Extracellular matrix proteome of chickpea (Cicer arietinum L.) illustrates pathway abundance, novel protein functions and evolutionary perspect.

The extracellular matrix (ECM) or cell wall is a dynamic system and serves as the first line mediator in cell signaling to perceive and transmit extra- and intercellular signals in many pathways. Although ECM is a conserved compartment ubiquitously present throughout evolution, a compositional variation does exist among different organisms. ECM proteins account for 10% of the ECM mass, however, comprise several hundreds of different molecules with diverse functions. To understand the function of ECM proteins, we have developed the cell wall proteome of a crop legume, chickpea (Cicer arietinum). This comprehensive overview of the proteome would provide a basis for future comparative proteomic efforts for this important crop. Proteomic analyses revealed new ECM proteins of unknown functions vis-à-vis the presence of many known cell wall proteins. In addition, we report here evidence for the presence of unexpected proteins with known biochemical activities, which have never been associated with ECM.

Cell Wall↗