A novel recombinant single-chain hepatitis C virus NS3-NS4A protein with improved helicase activity.

Hepatitis C virus (HCV) nonstructural protein 3 (NS3) has been shown to possess protease and helicase activities and has also been demonstrated to spontaneously associate with nonstructural protein NS4A (NS4A) to form a stable complex. Previous attempts to produce the NS3/NS4A complex in recombinant baculovirus resulted in a protein complex that aggregated and precipitated in the absence of nonionic detergent and high salt. A single-chain form of the NS3/NS4A complex (His-NS4A21-32-GSGS-NS3-631) was constructed in which the NS4A core peptide is fused to the N-terminus of the NS3 protease domain as previously described (Taremi et al., 1998). This protein contains a histidine tagged NS4A peptide (a.a. 21-32) fused to the full-length NS3 (a.a. 3-631) through a flexible tetra amino acid linker. The recombinant protein was expressed to high levels in Escherichia coli, purified to homogeneity, and examined for NTPase, nucleic acid unwinding, and proteolytic activities. The single-chain recombinant NS3-NS4A protein possesses physiological properties equivalent to those of the NS3/NS4A complex except that this novel construct is stable, soluble and sixfold to sevenfold more active in unwinding duplex RNA. Comparison of the helicase activity of the single-chain recombinant NS3-NS4A with that of the full-length NS3 (without NS4A) and that of the helicase domain alone suggested that the presence of the protease domain and at least the NS4A core peptide are required for optimal unwinding activity.     

1,25-Dihydroxyvitamin D3 inhibits parathyroid hormone-related peptide mRNA expression in fetal rat long bones in culture

Summary When fetal rat long bones are incubated in the presence of 10⁻⁸ M 1,25-dihydroxyvitamin D₃ [1,25(OH)₂D₃], steady-state parathyroid hormone-related peptide (PTHrP) mRNA levels are decreased. This decrease is temporary: it is observed as soon as after 3 h of exposure and reaches a nadir after 6 h. At that time, PTHrP mRNA levels are significantly lower in the experimental than in the control bones. However the inhibitory effect vanishes after 24 h, despite continuous exposure to 1,25(OH)₂D₃ for even 48 h. This is the first report showing that PTHrP mRNA expression can be regulated in rat fetal long bones in vitro by 1,25(OH)₂D₃.     

Cloning, characterisation, and functional expression of the Mus musculus SKD1 gene in yeast demonstrates that the mouse SKD1 and the yeast VPS4 genes are orthologues and involved in intracellular protein trafficking.

The mouse SKD1 protein displays a high degree of sequence identity (62%) to the yeast Vps4 protein, which is involved in the transport of proteins out of a prevacuolar/endosomal compartment. We isolated the mouse SKD1 locus and found that the SKD1 gene is split into 11 exons covering a region of 29kb of the genome. Interestingly, the exon/intron structure reflects to a certain degree the proposed domain structure of the protein, since the 5' located coiled-coil region and the AAA domain are flanked by introns. Analysis of the promoter region, which revealed features common for 'housekeeping genes', is consistent with previous results of a mouse multi-tissue Northern blot, confirming that SKD1 is a ubiquitously expressed gene. Expression of the full-length SKD1 cDNA in a vps4 disrupted yeast strain suppressed the temperature-sensitive growth defect of the vps4 mutant strain. Overexpression of wild type and expression of mutant Vps4 and SKD1 proteins, harbouring single amino acid exchanges in their AAA domains, induced a dominant-negative vacuolar protein sorting defect in wild type yeast cells, indicating that mouse SKD1 protein and yeast Vps4p fulfil similar functions.     

Landscape of nuclear transport receptor cargo specificity

Nuclear transport receptors (NTRs) recognize localization signals of cargos to facilitate their passage across the central channel of nuclear pore complexes (NPCs). About 30 different NTRs constitute different transport pathways in humans and bind to a multitude of different cargos. The exact cargo spectrum of the majority of NTRs, their specificity and even the extent to which active nucleocytoplasmic transport contributes to protein localization remains understudied because of the transient nature of these interactions and the wide dynamic range of cargo concentrations. To systematically map cargo–NTR relationships in situ, we used proximity ligation coupled to mass spectrometry (BioID). We systematically fused the engineered biotin ligase BirA* to 16 NTRs. We estimate that a considerable fraction of the human proteome is subject to active nuclear transport. We quantified the specificity and redundancy in NTR interactions and identified transport pathways for cargos. We extended the BioID method by the direct identification of biotinylation sites. This approach enabled us to identify interaction interfaces and to discriminate direct versus piggyback transport mechanisms. Data are available via ProteomeXchange with identifier PXD007976.     

Quantitative characterization of the mechanism of action and impact of a ‘proteolysis-permitting’ anti-PCSK9 antibody

A recent report described a novel mechanism of action for an anti-proprotein convertase subtilisin-kexin type 9 (PCSK9) monoclonal antibody (LY3015014, or LY), wherein the antibody has improved potency and duration of action due to the PCSK9 epitope for LY binding. Unlike other antibodies, proteolysis of PCSK9 can occur when LY is bound to PCSK9. We hypothesized that this allowance of PCSK9 cleavage potentially improves LY efficiency through two pathways, namely lack of accumulation of intact PCSK9 and reduced clearance of LY. A quantitative modeling approach is necessary to further understand this novel mechanism of action. We developed a mechanism-based model to characterize the relationship between antibody pharmacokinetics, PCSK9 and LDL cholesterol levels in animals, and used the model to better understand the underlying drivers for the improved efficiency of LY. Simulations suggested that the allowance of cleavage of PCSK9 resulting in a lack of accumulation of intact PCSK9 is the major driver of the improved potency and durability of LY. The modeling reveals that this novel ‘proteolysis-permitting’ mechanism of LY is a means by which an efficient antibody can be developed with a total antibody dosing rate that is lower than the target production rate. We expect this engineering approach may be applicable to other targets and that the mathematical models presented herein will be useful in evaluating similar approaches.     

Complex variation in habitat selection strategies among individuals driven by extrinsic factors

Understanding behavioral strategies employed by animals to maximize fitness in the face of environmental heterogeneity, variability, and uncertainty is a central aim of animal ecology. Flexibility in behavior may be key to how animals respond to climate and environmental change. Using a mechanistic modeling framework for simultaneously quantifying the effects of habitat preference and intrinsic movement on space use at the landscape scale, we investigate how movement and habitat selection vary among individuals and years in response to forage quality–quantity tradeoffs, environmental conditions, and variable annual climate. We evaluated the association of dynamic, biotic forage resources and static, abiotic landscape features with large grazer movement decisions in an experimental landscape, where forage resources vary in response to prescribed burning, grazing by a native herbivore, the plains bison (Bison bison bison), and a continental climate. Our goal was to determine how biotic and abiotic factors mediate bison movement decisions in a nutritionally heterogeneous grassland. We integrated spatially explicit relocations of GPS‐collared bison and extensive vegetation surveys to relate movement paths to grassland attributes over a time period spanning a regionwide drought and average weather conditions. Movement decisions were affected by foliar crude content and low stature forage biomass across years with substantial interannual variation in the magnitude of selection for forage quality and quantity. These differences were associated with interannual differences in climate and growing conditions from the previous year. Our results provide experimental evidence for understanding how the forage quality–quantity tradeoff and fine‐scale topography drives fine‐scale movement decisions under varying environmental conditions.     

Range‐wide patterns of greater sage‐grouse persistence

Aim Greater sage‐grouse (Centrocercus urophasianus), a shrub‐steppe obligate species of western North America, currently occupies only half its historical range. Here we examine how broad‐scale, long‐term trends in landscape condition have affected range contraction. Location Sagebrush biome of the western USA. Methods Logistic regression was used to assess persistence and extirpation of greater sage‐grouse range based on landscape conditions measured by human population (density and population change), vegetation (percentage of sagebrush habitat), roads (density of and distance to roads), agriculture (cropland, farmland and cattle density), climate (number of severe and extreme droughts) and range periphery. Model predictions were used to identify areas where future extirpations can be expected, while also explaining possible causes of past extirpations. Results Greater sage‐grouse persistence and extirpation were significantly related to sagebrush habitat, cultivated cropland, human population density in 1950, prevalence of severe droughts and historical range periphery. Extirpation of sage‐grouse was most likely in areas having at least four persons per square kilometre in 1950, 25% cultivated cropland in 2002 or the presence of three or more severe droughts per decade. In contrast, persistence of sage‐grouse was expected when at least 30 km from historical range edge and in habitats containing at least 25% sagebrush cover within 30 km. Extirpation was most often explained (35%) by the combined effects of peripherality (within 30 km of range edge) and lack of sagebrush cover (less than 25% within 30 km). Based on patterns of prior extirpation and model predictions, we predict that 29% of remaining range may be at risk. Main Conclusions Spatial patterns in greater sage‐grouse range contraction can be explained by widely available landscape variables that describe patterns of remaining sagebrush habitat and loss due to cultivation, climatic trends, human population growth and peripherality of populations. However, future range loss may relate less to historical mechanisms and more to recent changes in land use and habitat condition, including energy developments and invasions by non‐native species such as cheatgrass (Bromus tectorum) and West Nile virus. In conjunction with local measures of population performance, landscape‐scale predictions of future range loss may be useful for prioritizing management and protection. Our results suggest that initial conservation efforts should focus on maintaining large expanses of sagebrush habitat, enhancing quality of existing habitats, and increasing habitat connectivity.     

Identification of Bacillus anthracis by Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry and Artificial Neural Networks

This report demonstrates the applicability of a combination of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MS) and chemometrics for rapid and reliable identification of vegetative cells of the causative agent of anthrax, Bacillus anthracis. Bacillus cultures were prepared under standardized conditions and inactivated according to a recently developed MS-compatible inactivation protocol for highly pathogenic microorganisms. MALDI-TOF MS was then employed to collect spectra from the microbial samples and to build up a database of bacterial reference spectra. This database comprised mass peak profiles of 374 strains from Bacillus and related genera, among them 102 strains of B. anthracis and 121 strains of B. cereus. The information contained in the database was investigated by means of visual inspection of gel view representations, univariate t tests for biomarker identification, unsupervised hierarchical clustering, and artificial neural networks (ANNs). Analysis of gel views and independent t tests suggested B. anthracis- and B. cereus group-specific signals. For example, mass spectra of B. anthracis exhibited discriminating biomarkers at 4,606, 5,413, and 6,679 Da. A systematic search in proteomic databases allowed tentative assignment of some of the biomarkers to ribosomal protein or small acid-soluble proteins. Multivariate pattern analysis by unsupervised hierarchical cluster analysis further revealed a subproteome-based taxonomy of the genus Bacillus. Superior classification accuracy was achieved when supervised ANNs were employed. For the identification of B. anthracis, independent validation of optimized ANN models yielded a diagnostic sensitivity of 100% and a specificity of 100%.Members of the genus Bacillus are rod-shaped bacteria that exhibit catalase activity and can be characterized as endospore-forming obligate or facultative aerobes. The genus Bacillus contains two important groups of bacteria named after B. subtilis and B. cereus. The best-characterized member of the former group is B. subtilis, a renowned model organism for genetic research. Other group members, like B. pumilis, B. licheniformis, B. atrophaeus, and B. amyloliquefaciens, exhibit a high degree of phenotypic similarity and are thus not easily distinguishable (15).The B. cereus group comprises a number of closely related bacteria, some of which interfere with human health. Bacteria classified as B. cereus are occasionally associated with food poisoning (16, 28), while B. thuringiensis is primarily an insect pathogen because of its ability to produce toxins that have been widely used for the biocontrol of insect pests (28, 30). A third member of the B. cereus group, B. anthracis, is the causative agent of anthrax and is highly relevant to human and animal health. Other members of the B. cereus group are B. mycoides, B. pseudomycoides, and B. weihenstephanensis (4, 15).B. anthracis is a possible agent in biological warfare and bioterrorism. Its applicability as a biological warfare agent was made apparent by an accidental release from a Soviet military facility in Sverdlovsk (1, 10). Also, the well-publicized mailing of B. anthracis spores in the United States, which caused 18 confirmed cases of cutaneous and inhalational anthrax and an additional 4 suspected cases of cutaneous anthrax (3, 22), demonstrated that B. anthracis may become a threat from terrorist groups (10).Rapid detection of B. anthracis may be challenging because of its great genetic similarity to other species of the B. cereus group (10) and the difficulties of phenotypic differentiation of B. cereus group members (15). There is some controversy in the literature regarding the taxonomy of the B. cereus group. Indeed, some authors state that B. anthracis, B. cereus, and B. thuringiensis are one species with various virulence plasmids for the toxin pXO1 and the capsule pXO2 of B. anthracis and the insecticidal toxin of B. thuringiensis (10, 19). Other authors do not support this opinion and suggest the presence of even more species within the group (21).Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) intact-cell mass spectrometry (ICMS) has been suggested as a rapid, objective, and reliable technique for bacterial identification (8, 13, 23, 25, 38). As a proteomic technique, ICMS of whole bacterial cells, or cell lysates, relies on the reproducible detection of microbial protein patterns and thus delivers information complementary to genotypic or phenotypic test methods. With the pattern-matching approach, microbial identification is achieved by comparing experimental mass spectra with a collection of mass spectra of known organisms. This requires the compilation of large databases of bacterial reference spectra but has the advantage that an extensive knowledge of biomarker identities is not required. Another advantage of the pattern-matching approach is that genus- and species-specific procedures or consumables are not required, i.e., the same methodology can in principle be applied to all kinds of microorganisms (multiplex advantage).It is thus believed that ICMS offers the possibility to systematically investigate the diversity of bacterial subproteomes, complementing existing methodologies of bacterial characterization. This potential and the need for a rapid, objective, and reliable microbial identification technique that does not rely on nucleic acid detection and the availability of an MS-compatible inactivation protocol for highly pathogenic biosafety level 3 microorganisms and bacterial endospores (26) prompted us to systematically study the MALDI-TOF MS profiles of Bacillus strains and to establish a database of bacterial mass spectra. In the present work, we describe strategies of spectral analysis that allow the identification and validation of group- and species-specific sets of biomarkers. Using unsupervised hierarchical cluster analysis (UHCA) and supervised artificial neural network (ANN) analysis, we also demonstrate how microbial spectra can be employed to establish an MS-based methodology for rapid, objective, and reliable identification of the target species, B. anthracis.