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1.
Summary Comparison of different post-plating temperature regimes with a control treatment (27° C) revealed that a short-term cold (8/14°C:2/2 days or 14°C:4 days) as well as a heat treatment (30°C:14 days) increased the production of embryro-like-structures (ELS) from cultured maize anthers. The beneficial effects of short-term cold treatments were magnified 2–3 times when L-proline (PROL) was added to the induction medium (125–500 mg/L). In the best treatment (14°C:4 days, 125 mg/L L-proline) one genotype produced 143.5 ELS/100 anthers. Anthers subjected to high temperature (30°C:4 days, 30°C:7 days, 30°C:14 days) generally showed a lower response than did cold treated anthers, although genotypic differences were observed. Regeneration frequency did not appear to be affected by the presence of L-proline in the induction medium.Abbreviations ELS Embryo-like-structures - PROL L-proline  相似文献   
2.
Isotropic mixing sequences are one of the key methods to achieve efficient coherence transfer. Among them, the MOCCA-XY16, which keeps the magnetization longitudinal for a significant amount of time, is characterised by favourable relaxation properties. We show here that its adapted version is particularly suited for carbonyl–carbonyl correlations in 13C direct detection NMR experiments.  相似文献   
3.
The ultrastructure of the diatomSynedra cf.ulna was examined paying special attention to the Plattenband (platelet band). This structure was first described byGeitler in 1948 on the basis of LM observations and denotes a linear array of dictyosomes along the apical axis of the cell. The present investigation confirmsGeitler's observations in all essential details and demonstrates that the dictyosomes are arranged along polarized nuclear extensions running towards the cell poles. Laterally the extensions are accompanied by a number of microtubules. In large cells the total length of the nucleus thus may reach 400 µm and more. Since only the central part of the nucleus is DNA-positive with DAPI and acridine orange, the nuclear nature of the backbone of the Plattenband cannot be recognized by LM techniques. TEM investigation of serial apical and transapical sections, however, prove unambiguously the identity with extended parts of the nucleus.Dedicated to Prof. DrLothar Geitler on the occasion of his 90th birthday.  相似文献   
4.
Clonal integration and effects of simulated herbivory in old-field perennials   总被引:12,自引:0,他引:12  
Summary We compared the growth, phenology and leaf demography of partly defoliated, connected shoots with that of partly defoliated, severed shoots in four old-field perennials (Solidago canadensis, S. altissima, S. gigantea, Aster lanceolatus) with differing genet architectures (rhizome systems), in a common garden and in the field. Our main hypothesis was that defoliation would have fewer negative effects on shoot performance if shoots were connected than if their rhizomes were severed. Since degree of clonal integration is related to differences in genet architecture, our second hypothesis was that the effects of defoliation would be less pronounced in more integrated than in less integrated clones. Removing about 50% of the total leaf area from shoots had different effects depending on plant species, shoot density, and in particular whether rhizome connections between shoots were left intact or severed. In agreement with our prediction, experimentally isolated shoots in the field or in high density clumps in the garden suffered the most from defoliation, while shoots with intact connections or in low density clumps suffered the least. Our second prediction was neither confirmed nor falsified in the present study. Solidago altissima showed overcompensation in response to simulated herbivory in the common garden, i.e. defoliated shoots grew faster and were larger at harvest than their non-defoliated neighbours.  相似文献   
5.
The receptor TLR9, recognizing unmethylated bacterial DNA (CpG), is expressed by B cells and plays a role in the maintenance of serological memory. Little is known about the response of B cells stimulated with CpG alone, without additional cytokines. In this study, we show for the first time the phenotypic modification, changes in gene expression, and functional events downstream to TLR9 stimulation in human B cell subsets. In addition, we demonstrate that upon CpG stimulation, IgM memory B cells differentiate into plasma cells producing IgM Abs directed against the capsular polysaccharides of Streptococcus pneumoniae. This novel finding proves that IgM memory is the B cell compartment responsible for the defense against encapsulated bacteria. We also show that cord blood transitional B cells, corresponding to new bone marrow emigrants, respond to CpG. Upon TLR9 engagement, they de novo express AID and Blimp-1, genes necessary for hypersomatic mutation, class-switch recombination, and plasma cell differentiation and produce Abs with anti-pneumococcal specificity. Transitional B cells, isolated from cord blood, have not been exposed to pneumococcus in vivo. In addition, it is known that Ag binding through the BCR causes apoptotic cell death at this stage of development. Therefore, the ability of transitional B cells to sense bacterial DNA through TLR9 represents a tool to rapidly build up the repertoire of natural Abs necessary for our first-line defense at birth.  相似文献   
6.
    
Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiac disease. Fourteen sarcomeric and sarcomere‐related genes have been implicated in HCM etiology, those encoding β‐myosin heavy chain (MYH7) and cardiac myosin binding protein C (MYBPC3) reported as the most frequently mutated: in fact, these account for around 50% of all cases related to sarcomeric gene mutations, which are collectively responsible for approximately 70% of all HCM cases. Here, we used denaturing high‐performance liquid chromatography followed by bidirectional sequencing to screen the coding regions of MYH7 and MYBPC3 in a cohort (n = 125) of Italian patients presenting with HCM. We found 6 MHY7 mutations in 9/125 patients and 18 MYBPC3 mutations in 19/125 patients. Of the three novel MYH7 mutations found, two were missense, and one was a silent mutation; of the eight novel MYBPC3 mutations, one was a substitution, three were stop codons, and four were missense mutations. Thus, our cohort of Italian HCM patients did not harbor the high frequency of mutations usually found in MYH7 and MYBPC3. This finding, coupled to the clinical diversity of our cohort, emphasizes the complexity of HCM and the need for more inclusive investigative approaches in order to fully understand the pathogenesis of this disease. J. Cell. Physiol. 226: 2894–2900, 2011. © 2011 Wiley‐Liss, Inc.  相似文献   
7.
Pantothenate kinase (CoaA) catalyzes the first step of the coenzyme A (CoA) biosynthetic pathway and controls the intracellular concentrations of CoA through feedback inhibition in bacteria. An alternative enzyme found in archaea, pantoate kinase, is missing in the order Thermoplasmatales. The PTO0232 gene from Picrophilus torridus, a thermoacidophilic euryarchaeon, is shown to be a distant homologue of the prokaryotic type I CoaA. The cloned gene clearly complements the poor growth of the temperature-sensitive Escherichia coli CoaA mutant strain ts9, and the recombinant protein expressed in E. coli cells transfers phosphate to pantothenate at pH 5 and 55°C. In contrast to E. coli CoaA, the P. torridus enzyme is refractory to feedback regulation by CoA, indicating that in P. torridus cells the CoA levels are not regulated by the CoaA step. These data suggest the existence of two subtypes within the class of prokaryotic type I CoaAs.Coenzyme A (CoA) is an essential cofactor synthesized from pantothenate (vitamin B5), cysteine, and ATP (1, 20, 30). The thiol group derived from the cysteine moiety in a CoA molecule forms a thioester bond, which is a high-energy bond, with carboxylates including fatty acids. The resulting compounds are called acyl-CoAs (CoA thioesters) and function as the major acyl group carriers in numerous metabolic and energy-yielding pathways. Since it is thought that the pantetheine moiety in CoA existed when life first came about on Earth (25) and at present, a CoA, acyl-CoA, or 4′-phosphopantethein moiety that is common to CoA and acyl carrier proteins is utilized by about 4% of all enzymes as a substrate (6), these compounds are thought to play a crucial role in the earliest metabolic system.Bacteria, fungi, and plants can produce pantothenate, which is the starting material of CoA biosynthesis, although animals must take it from their diet (41). The canonical CoA biosynthetic pathway consists of five enzymatic steps: i.e., pantothenate kinase (CoaA in prokaryotes and PanK in eukaryotes; EC 2.7.1.33), phosphopantothenoylcysteine synthetase (CoaB; EC 6.3.2.5), phosphopantothenoylcysteine decarboxylase (CoaC: EC 4.1.1.36), phosphopantetheine adenylyltransferase (CoaD; EC 2.7.7.3), and dephospho-CoA kinase (CoaE; EC 2.7.1.24). The organisms belonging to the domains Bacteria and Eukarya have this pathway (20, 30). CoaB, CoaC, CoaD, and CoaE are detectable in the complete genome sequences as orthologs of the counterparts from E. coli and humans (15, 16, 32). However, there is diversity among the CoaAs and PanKs, depending on their primary structures, and to date, three types of CoaA in bacteria and one type of PanK in eukaryotes have been identified. CoaAs and PanK catalyze the phosphorylation of pantothenate to produce 4′-phosphopantothenate at the first step of the pathway. First, the Escherichia coli CoaA (CoaAEc) was cloned as a prokaryotic type I CoaA after characterization of the properties enzymatically (42-44, 48). Thereafter, the eukaryotic PanK isoforms were isolated from Aspergillus nidulans (AnPanK), mice (mPanK), and humans (hPanK) (10, 17, 28, 29, 33, 34, 54-56). These enzyme activities were clearly regulated by end products of the biosynthetic pathway such as CoA, acetyl-CoA, and malonyl-CoA, and the pantothenate kinases governed the intracellular concentrations of CoA and acyl-CoAs (10, 17, 28, 29, 33, 34, 43, 44, 48, 54, 55). However, CoaAs insensitive to CoA and acyl-CoAs were recently identified from Staphylococcus aureus (CoaASa), Pseudomonas aeruginosa (CoaAPa), and Helicobacter pylori (CoaAHp) as prokaryotic type II and III CoaAs (9, 11, 18, 27). The structural and functional diversity among pantothenate kinases suggests that they are key indicators of the regulation of the CoA biosynthesis. In archaea neither CoaA nor pantothenate synthetase (PanC; EC 6.3.2.1), which catalyzes the condensation of pantoate and β-alanine to produce pantothenate, had been identified biochemically until very recently. COG1829 and COG1701 were assigned as the respective candidates based on comparative genomic analysis (15). COG1701 was reported to be PanC (36), and later the enzyme was revised to phosphopantothenate synthetase, which catalyzed the condensation of phosphopantoate and β-alanine (52). Together with the identification of COG1701, COG1829 was found to be pantoate kinase, responsible for the phosphorylation of pantoate (52). Homologues of pantoate kinase and phosphopantothenate synthetase are found in most archaeal genomes, thus establishing a noncanonical CoA biosynthetic pathway involving the two novel enzymes. However, homologues of the two novel enzymes are missing in the order Thermoplasmatales.Hence, we proceeded with a search for the kinase genes of the remaining archaea to elucidate the regulatory mechanism(s) underlying archaeal CoA biosynthesis. The PTO0232 gene in the complete genome sequence of Picrophilus torridus was identified as encoding a distant homologue of CoaAEc by a BLAST search. The recombinant protein phosphorylated pantothenate, but the activity was not inhibited at all by CoA or CoA thioesters despite its classification as prokaryotic type I CoaA. This functional difference between P. torridus CoaA (CoaAPt) and CoaAEc can be accounted for by an amino acid substitution at position 247 which possibly interacts with CoA. Here we describe the existence of a second subtype in the class of prokaryotic type I CoaAs.  相似文献   
8.
Histidine decarboxylase (HDC) and vesicular monoamine transporter 2 (v-MAT2) are involved in the biosynthesis and storage of histamine. DOPA decarboxylase (DDC) is involved in the biosynthesis of a variety of amines and shares a high degree of homology with HDC. HDC and v-MAT2 immunoreactivities (IR) have recently been detected in well-differentiated neuroendocrine tumors (WDNETs) and poorly differentiated neuroendocrine carcinomas (PDNECs) of various sites and have been proposed as general endocrine markers. We evaluated HDC and v-MAT2 IR in a series of 117 WDNETs and PDNECs from different sites. Western blotting analysis was performed to verify the specificity of anti-DDC and anti-HDC antibodies. Real-time RT-PCR was performed using specific probes for HDC and DDC on 42 cases, examined also for DDC IR. HDC and v-MAT2 IR were observed in the majority of WDNETs and PDNECs of all sites and HDC-IR cases were always also DDC-IR. In contrast, high levels of HDC mRNA were detected only in the gastroenteropancreatic WDNETs, which did not show increased DDC mRNA levels. On the other hand, bronchial carcinoids and lung PDNECs showed high DDC mRNA levels, but nearly undetectable HDC mRNA levels. Western blotting analysis showed a cross-reaction between anti-HDC and anti-DDC antibodies. HDC should not be considered as a general endocrine marker and HDC IR in bronchial carcinoids and PDNECs of the lung can probably be attributed to a cross-reaction with DDC.  相似文献   
9.
    
New generation vaccines are in demand to include only the key antigens sufficient to confer protective immunity among the plethora of pathogen molecules. In the last decade, large-scale genomics-based technologies have emerged. Among them, the Reverse Vaccinology approach was successfully applied to the development of an innovative vaccine against Neisseria meningitidis serogroup B, now available on the market with the commercial name BEXSERO® (Novartis Vaccines). The limiting step of such approaches is the number of antigens to be tested in in vivo models. Several laboratories have been trying to refine the original approach in order to get to the identification of the relevant antigens straight from the genome. Here we report a new bioinformatics tool that moves a first step in this direction. The tool has been developed by identifying structural/functional features recurring in known bacterial protective antigens, the so called “Protectome space,” and using such “protective signatures” for protective antigen discovery. In particular, we applied this new approach to Staphylococcus aureus and Group B Streptococcus and we show that not only already known protective antigens were re-discovered, but also two new protective antigens were identified.Although vaccines based on attenuated pathogens as pioneered by Luis Pasteur have been shown to be extremely effective, safety and technical reasons recommend that new generation vaccines include few selected pathogen components which, in combination with immunostimulatory molecules, can induce long lasting protective responses. Such approach implies that the key antigens sufficient to confer protective immunity are singled out among the plethora of pathogen molecules. As it turns out, the search for such protective antigens can be extremely complicated.Genomic technologies have opened the way to new strategies in vaccine antigen discovery (1, 2, 3). Among them, Reverse Vaccinology (RV)1 has proved to be highly effective, as demonstrated by the fact that a new Serogroup B Neisseria meningitidis (MenB) vaccine, incorporating antigens selected by RV, is now available to defeat meningococcal meningitis (4, 5). In essence, RV is based on the simple assumption that cloning all annotated proteins/genes and screening them against a robust and reliable surrogate-of-protection assay must lead to the identification of all protective antigens. Because most of the assays available for protective antigen selection involve animal immunization and challenge, the number of antigens to be tested represents a severe bottleneck of the entire process. For this reason, despite the fact that RV is a brute force, inclusive approach (“test-all-to-lose-nothing” type of approach) in their pioneered work of MenB vaccine discovery, Pizza and co-workers did not test the entire collection of MenB proteins but rather restricted their analysis to the ones predicted to be surface-localized. This was based on the evidence that for an anti-MenB vaccine to be protective bactericidal antibodies must be induced, a property that only surface-exposed antigens have. For the selection of surface antigens Pizza and co-workers mainly used PSORT and other available tools like MOTIFS and FINDPATTERNS to find proteins carrying localization-associated features such as transmembrane domains, leader peptides, and lipobox and outer membrane anchoring motifs. At the end, 570 proteins were selected and entered the still very labor intensive screening phase. Over the last few years, our laboratories have been trying to move to more selective strategies. Our ultimate goal, we like to refer to as the “Holy Grail of Vaccinology,” is to identify protective antigens by “simply” scanning the genome sequence of any given pathogen, thus avoiding time consuming “wet science” and “move straight from genome to the clinic” (6).With this objective in mind, we have developed a series of proteomics-based protocols that, in combination with bioinformatics tools, have substantially reduced the number of antigens to be tested in the surrogate-of-protection assays (7, 8). In particular, we have recently described a three-technology strategy that allows to narrow the number of antigens to be tested in the animal models down to less than ten (9). However, this strategy still requires high throughput experimental activities. Therefore, the availability of in silico tools that selectively and accurately single out relevant categories of antigens among the complexity of pathogen components would greatly facilitate the vaccine discovery process.In the present work, we describe a new bioinformatics approach that brings an additional contribution to our “from genome to clinic” goal. The approach has been developed on the basis of the assumption that protective antigens are protective in that they have specific structural/functional features (“protective signatures”) that distinguish them from immunologically irrelevant pathogen components. These features have been identified by using existing databases and prediction tools, such as PFam and SMART. Our approach focuses on protein biological role rather than its localization: it is completely protein localization unbiased, and lead to the identification of both surface-exposed and secreted antigens (which are the majority in extracellular bacteria) as well as cytoplasmic protective antigens (for instance, antigens that elicit interferon γ producing CD4+ T cells, thus potentiating the killing activity of phagocytic cells toward intracellular pathogens). Should these assumptions be valid, PS could be identified if: (1) all known protective antigens are compiled to create what we refer to as “the Protectome space,” and (2) Protectome is subjected to computer-assisted scrutiny using selected tools. Once signatures are identified, novel protective antigens of a pathogen of interest should be identifiable by scanning its genome sequence in search for proteins that carry one or more protective signatures. A similar attempt has been reported (10), where the discrimination of protective antigens versus nonprotective antigens was tried using statistical methods based on amino acid compositional analysis and auto cross-covariance. This model was implemented in a server for the prediction of vaccine candidates, that is, Vaxijen (www.darrenflower.info/Vaxijen); however, the selection criteria applied are still too general leading to a list of candidates that include ca. 30% of the total genome ORFs very similarly to the number of antigens predicted by classical RV based on the presence of localization signals.Here we show that Protectome analysis unravels specific signatures embedded in protective antigens, most of them related to the biological role/function of the proteins. These signatures narrow down the candidate list to ca. 3% of the total ORFs content and can be exploited for protective antigen discovery. Indeed, the strategy was validated by demonstrating that well characterized vaccine components could be identified by scanning the genome sequence of the corresponding pathogens for the presence of the PS. Furthermore, when the approach was applied to Staphylococcus aureus and Streptococcus agalactiae (Group B Streptococcus, GBS) not only already known protective antigens were rediscovered, but also two new protective antigens were identified.  相似文献   
10.
    
In the cold-shock protein CspB from Bacillus subtilis three exposed Phe residues (F15, F17, and F27) are essential for its function in binding to single-stranded nucleic acids. Usually, the hydrophobic Phe side chains are buried in folded proteins. We asked here whether the exposition of the essential Phe residues could be a cause for the very low conformational stability of CspB. Urea-induced and heat-induced equilibrium unfolding transitions were measured for three mutants of CspB, where Phe 15, Phe 17, and Phe 27 were individually replaced by alanine. Unexpectedly, all three mutations strongly destabilized CspB. The aromatic side chains of Phe 15, Phe 17, and Phe 27 in the active site are thus important for both binding to nucleic acids and conformational stability. There is no compromise between function and stability in the active site. Model calculations indicate that, although they are partially exposed to solvent, all three Phe residues nevertheless lose accessible surface upon folding, and this should favor the native state. A different result is obtained with the F38A variant. Phe 38 is hyperexposed in native CspB, and its substitution by Ala is in fact stabilizing. Proteins 30:401–406, 1998. © 1998 Wiley-Liss, Inc.  相似文献   
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