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1.
The humoral immune responses to the D2 peptide of fibronectin-binding protein B (FnBP) of Staphylococcus aureus, expressed on the plant virus cowpea mosaic virus (CPMV), were evaluated after mucosal delivery to mice. Intranasal immunization of these chimeric virus particles (CVPs), either alone or in the presence of ISCOM matrix, primed CPMV-specific T cells and generated high titers of CPMV- and FnBP-specific immunoglobulin G (IgG) in sera. Furthermore, CPMV- and FnBP-specific IgA and IgG could also be detected in the bronchial, intestinal, and vaginal lavage fluids, highlighting the ability of CVPs to generate antibody at distant mucosal sites. IgG2a and IgG2b were the dominant IgG subclasses in sera to both CPMV and FnBP, demonstrating a bias in the response toward the T helper 1 type. The sera completely inhibited the binding of human fibronectin to the S. aureus FnBP. Oral immunization of the CVPs also generated CPMV- and FnBP-specific serum IgG; however, these titers were significantly lower and more variable than those generated by the intranasal route, and FnBP-specific intestinal IgA was undetectable. Neither the ISCOM matrix nor cholera toxin enhanced these responses. These studies demonstrate for the first time that recombinant plant viruses have potential as mucosal vaccines without the requirement for adjuvant and that the nasal route is most effective for the delivery of these nonreplicating particles.Replicating vaccines such as live-attenuated bacterial (13) and virus (36, 40, 45) vaccines, as well as naked DNA vaccines (31), induce stronger and longer-lasting immune responses than conventional killed-subunit vaccines and also elicit protective cell-mediated immunity, often without the need for adjuvant. There are however, safety concerns over the use of these vaccines (24, 49), where persistence or reversion to virulence of the live vaccine strains and integration of the naked DNA vaccine into the host chromosome are of major concern. Recent technological advances, such as the use of more-effective adjuvants for both mucosal and systemic delivery (12, 16), liposome and ISCOM encapsulation of proteins and peptides (3, 19, 27), multiple antigenic peptides (35), and virus-like particles (VLPs) (1), have led to the development of more-effective subunit vaccines. To circumvent the safety concerns of replicating vaccines and to avoid the need for peptide synthesis and chemical coupling to a carrier such as keyhole limpet hemocyanin, we have been examining the utility of the plant virus cowpea mosaic virus (CPMV) as a carrier of peptides for immune recognition. CPMV is composed of 2 subunits, the small (S) and large (L) coat proteins, of which there are 60 copies of each per virus particle (46). Foreign peptides up to 37 amino acids in length can be expressed on either the L or S proteins; hence, 60 to 120 copies of a peptide can be displayed on a single virus particle (4b, 34). A peptide from the human immunodeficiency virus (HIV) gp41 glycoprotein is highly immunogenic when displayed on CPMV, eliciting high titers of HIV neutralizing antibodies (28, 29). Furthermore, a peptide derived from the VP2 protein of canine parvovirus (CPV) expressed on CPMV is immunogenic when administered to mink and subsequently protected the mink from a lethal challenge with the CPV-related mink enteritis virus (10).Most infectious viral and bacterial diseases involve colonization or invasion through mucosal surfaces by the pathogen, and hence it is important to develop vaccines that induce strong protective mucosal immune responses as a first line of defense. Where the organism, such as Vibrio cholerae and enterotoxigenic Escherichia coli, is restricted to the mucosa, strong mucosal immunity is often sufficient. However, when the organism disseminates from the mucosa into the bloodstream, a strong systemic response is also required to engender sterile immunity. Hence, the ideal mucosal vaccine should generate local immune responses at mucosal surfaces but also elicit generalized vaccine-specific immunity in the systemic lymphoid organs. The potential of CPMV-based vaccines for mucosal vaccination has not previously been determined.Oral immunization with particulate antigens, especially when presented as viable organisms, which can colonize the mucosa better than killed organisms, is effective at inducing local and generalized secretory and systemic immune responses (5, 43). However, the acidic pH and the presence of degradative enzymes in the gastrointestinal tract mean that when nonreplicating antigens are used, high concentrations are often required to elicit high levels of immunity (6). Another way to elicit mucosal immunity but circumvent the problems of oral immunization is to vaccinate via the intranasal route (2). Intranasal immunization requires up to 10-fold less immunogen for effective immunization and avoids the problems of low pH. Live vaccines (15, 37), virus-like particles (4, 25, 32), and synthetic peptides (17, 33, 44) in the absence of adjuvant have been shown to stimulate strong immunity when administered by this route. Furthermore, stimulation of the nasal mucosa, like stimulation of the intestinal mucosa, has been shown to be effective at generating protective immunity at distant mucosal sites (reviewed in reference 2).To assess the potential of CVPs as mucosal vaccines, mice were immunized intranasally or orally with CPMV expressing a peptide derived from the fibronectin-binding protein B (FnBP) D2 motif of Staphylococcus aureus (14, 42). The three fibronectin-binding domains, termed D1, D2, and D3, of FnBP have been shown to be immunogenic in mice and rats (7, 41). The CVPs were shown to be more immunogenic when administered (without adjuvant) via the intranasal route than when administered by the oral route, generating high titers of D2-specific antibody in serum and mucosa, and the serum antibody inhibited fibronectin binding to FnBP.  相似文献   

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A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]  相似文献   

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A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]  相似文献   

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The molecular responses of macrophages to copper-based nanoparticles have been investigated via a combination of proteomic and biochemical approaches, using the RAW264.7 cell line as a model. Both metallic copper and copper oxide nanoparticles have been tested, with copper ion and zirconium oxide nanoparticles used as controls. Proteomic analysis highlighted changes in proteins implicated in oxidative stress responses (superoxide dismutases and peroxiredoxins), glutathione biosynthesis, the actomyosin cytoskeleton, and mitochondrial proteins (especially oxidative phosphorylation complex subunits). Validation studies employing functional analyses showed that the increases in glutathione biosynthesis and in mitochondrial complexes observed in the proteomic screen were critical to cell survival upon stress with copper-based nanoparticles; pharmacological inhibition of these two pathways enhanced cell vulnerability to copper-based nanoparticles, but not to copper ions. Furthermore, functional analyses using primary macrophages derived from bone marrow showed a decrease in reduced glutathione levels, a decrease in the mitochondrial transmembrane potential, and inhibition of phagocytosis and of lipopolysaccharide-induced nitric oxide production. However, only a fraction of these effects could be obtained with copper ions. In conclusion, this study showed that macrophage functions are significantly altered by copper-based nanoparticles. Also highlighted are the cellular pathways modulated by cells for survival and the exemplified cross-toxicities that can occur between copper-based nanoparticles and pharmacological agents.Manufactured nanoparticles are more and more widely used in more and more consumer products, ranging from personal care products to tires and concrete. Among the nanoparticles, metals and metal oxides represent an important part of the total production and are used in water treatment, as antibacterials, in antifouling paints, and in microelectronics. These varied uses in turn pose the problem of the toxicological evaluation of these nanoparticles (1, 2), and especially of the long-term effects that often come not from simple cell mortality but from altered cellular functions.Macrophages are one of the cell types that deserve special attention in toxicology, because of the variety of their functions. Altered cytokine production can lead to adverse long-term effects, as documented, for example, in the case of asbestos (3). Other dysfunctions of the innate immune system can lead to deregulation of the immune responses and to severe adverse effects, such as a higher incidence of tumors (4).It is therefore not surprising that the immunotoxicology of nanoparticles is a developing field (57), and several studies have been devoted to macrophages'' response to nanoparticles. However, most of these studies have been limited to the effect of nanoparticles on cell viability and on cytokine production (e.g. 811), although some also studied oxidative stress (1214) and sometimes other functional parameters (1517). Very few studies have used the analytical power of proteomics to go deeper into the mechanisms of the response to nanoparticles or metals (reviewed in Ref. 18). A few exceptions are studies on, for example, carbon-based nanoparticles (19) and titanium dioxide (20, 21).Most of the toxicological studies in this field have been focused on a few nanoparticles used either as health products, such as iron oxide (15, 17, 22), or in a variety of consumer products, such as silver (13, 14), silica (9, 12), and titanium dioxide (11, 16, 20, 21).However, many other nanoparticles are being used more and more in industrial applications without extensive toxicological testing. Good examples are indium-tin oxide, used in electronic screens, which appears to be toxic (23), and the copper-based nanoparticles used in high-performance batteries (24), in water depollution (25), and as bactericides as a replacement for nano-silver. Copper and copper oxide induce a strong toxicity (26, 27), coupled with inflammation (28), oxidative stress (29), and genotoxicity (30), at least in epithelial cells.In light of these various effects, we decided to use a combination of a proteomics approach and targeted approaches to address in more molecular detail the responses of macrophages to copper-based nanoparticles (i.e. both metallic copper and copper II oxide).  相似文献   

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Mathematical tools developed in the context of Shannon information theory were used to analyze the meaning of the BLOSUM score, which was split into three components termed as the BLOSUM spectrum (or BLOSpectrum). These relate respectively to the sequence convergence (the stochastic similarity of the two protein sequences), to the background frequency divergence (typicality of the amino acid probability distribution in each sequence), and to the target frequency divergence (compliance of the amino acid variations between the two sequences to the protein model implicit in the BLOCKS database). This treatment sharpens the protein sequence comparison, providing a rationale for the biological significance of the obtained score, and helps to identify weakly related sequences. Moreover, the BLOSpectrum can guide the choice of the most appropriate scoring matrix, tailoring it to the evolutionary divergence associated with the two sequences, or indicate if a compositionally adjusted matrix could perform better.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]  相似文献   

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Decomposing a biological sequence into its functional regions is an important prerequisite to understand the molecule. Using the multiple alignments of the sequences, we evaluate a segmentation based on the type of statistical variation pattern from each of the aligned sites. To describe such a more general pattern, we introduce multipattern consensus regions as segmented regions based on conserved as well as interdependent patterns. Thus the proposed consensus region considers patterns that are statistically significant and extends a local neighborhood. To show its relevance in protein sequence analysis, a cancer suppressor gene called p53 is examined. The results show significant associations between the detected regions and tendency of mutations, location on the 3D structure, and cancer hereditable factors that can be inferred from human twin studies.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]  相似文献   

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A variety of high-throughput methods have made it possible to generate detailed temporal expression data for a single gene or large numbers of genes. Common methods for analysis of these large data sets can be problematic. One challenge is the comparison of temporal expression data obtained from different growth conditions where the patterns of expression may be shifted in time. We propose the use of wavelet analysis to transform the data obtained under different growth conditions to permit comparison of expression patterns from experiments that have time shifts or delays. We demonstrate this approach using detailed temporal data for a single bacterial gene obtained under 72 different growth conditions. This general strategy can be applied in the analysis of data sets of thousands of genes under different conditions.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]  相似文献   

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Safe recombinant vaccines, based on a small number of antigenic proteins, are emerging as the most attractive, cost-effective solution against infectious diseases. In the present work, we confirmed previous data from our laboratory showing that whole viable bacterial cell treatment with proteases followed by the identification of released peptides by mass spectrometry is the method of choice for the rapid and reliable identification of vaccine candidates in Gram-positive bacteria. When applied to the Group B Streptococcus COH1 strain, 43 surface-associated proteins were identified, including all the protective antigens described in the literature as well as a new protective antigen, the cell wall-anchored protein SAN_1485 belonging to the serine-rich repeat protein family. This strategy overcomes the difficulties so far encountered in the identification of novel vaccine candidates and speeds up the entire vaccine discovery process by reducing the number of recombinant proteins to be tested in the animal model.Vaccination is the safest, most attractive, and cost-effective solution to combat infectious diseases (1). Unfortunately vaccines against several pathogens are not yet available, and this is largely because of the difficulties encountered in the identification of the few pathogen components capable of eliciting protective immune responses.Recently new genomics-based approaches have been described and shown to be very powerful for the discovery of vaccine candidates (24). However, these methods are labor-intensive and time-consuming in that the identification of the few protective antigens requires the screening of a large number of recombinant proteins in biological assays, which usually involve animal models. Therefore, the development of new strategies capable of substantially reducing the number of proteins to be tested would be highly desirable. Looking at the list of vaccines, either licensed or in advanced phase of development, that protect by eliciting antibody-mediated immunity, it appears that they include secreted toxins and/or highly expressed, surface-exposed molecules (5, 6). Hence the development of strategies capable of singling out this relatively small group of antigens from the plethora of pathogen components would substantially accelerate the vaccine discovery process.We have recently proposed a novel proteomics-based approach, which has allowed the identification of Group A Streptococcus (GAS)1 proteins having domains protruding out of the bacterial surface (7). The approach is based on (i) the proteolytic treatment of bacteria under conditions that preserve cell viability and (ii) the analysis of the released peptides by mass spectrometry. The approach proved to be rapid and highly selective in that the large majority (>90%) of the identified proteins fell into the categories of cell wall proteins, lipoproteins, membrane proteins, and secreted proteins. Furthermore the method also allowed a semiquantitative evaluation of protein exposition and level of expression because, in general, the number of peptides identified from a given protein nicely correlates with the extent of its recognition by specific antibodies as judged by fluorescence-activated cell sorting analysis (7). Interestingly the list of surface-associated proteins included most of the published GAS protective antigens as well as new protective components such as the cell envelope proteinase Spy0416 (7), a protein attracting the interest of several laboratories for its important role in pathogenesis (810). To demonstrate that the proteomics-based approach represents a reliable and generally applicable strategy for the identification of vaccine components in Gram-positive bacteria, we have applied the same protocol to the Group B Streptococcus (GBS) for which a vaccine is not yet available on the market. GBS is a multiserotype Gram-positive opportunistic human pathogen that can lead to life-threatening infections in newborns and elderly adults (1116).Here we show that on the surface of the hypervirulent GBS COH1 strain there are 43 major proteins belonging to the families of cell wall proteins, lipoproteins, and membrane proteins. As in the case of GAS (7), the proteins identified comprise all protective antigens so far described in the literature (6, 17,26) as well as a new antigen, SAN_1485, which appears to be highly protective in the active maternal immunization mouse model. These data confirm the effectiveness of protease digestion coupled to mass spectrometry for the identification of surface-exposed antigens in Gram-positive bacteria and demonstrate the power of this technology for the rapid discovery of new vaccines.  相似文献   

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Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM2 (14). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (57) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (1113) and the structural basis of disulfide pairing (1419). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM2 (14). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (57) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (1113) and the structural basis of disulfide pairing (1419). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.  相似文献   

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