Enzymatic characterization of the full-length and C-terminally truncated hepatitis C virus RNA polymerases: function of the last 21 amino acids of the C terminus in template binding and RNA synthesis

The nonstructural protein NS5B of hepatitis C virus (HCV) is an RNA-dependent RNA polymerase (RdRp), which plays a central role in viral replication. Most of the reported studies on HCV polymerase in vitro have used a truncated form of the enzyme lacking the C-terminal 21 amino acids (DeltaC(21)-NS5B). In this study, we compared the enzymatic properties of the full-length NS5B (FL-NS5B) and this truncated form. Removal of the C(21) domain enhanced the enzyme stability. Both enzymes are capable of performing de novo and primer-dependent RNA syntheses, but each possesses a unique set of biochemical requirements for optimal RdRp activity. Whereas RNA synthesis by FL-NS5B remained relatively constant at 12-100 mM KCl, synthesis by DeltaC(21)-NS5B rapidly decreased at KCl concentrations greater than 12 mM. The different salt requirement for overall RNA synthesis by these two polymerases can in part be explained by the effect of monovalent ion concentration at the step of template binding, where binding by DeltaC(21)-NS5B but not FL-NS5B decreased proportionally as the KCl concentration increased from 25 to 200 mM. Thus, the C(21) domain appears to contribute to NS5B-RNA template binding, probably through the hydrophobic stacking interaction between its aromatic amino acids and the nucleotide bases of the RNA. This interpretation was supported by the observation that the C(21) polypeptide by itself could also bind to RNA to form binary complexes that were resistant to changes in the KCl concentration. Though both enzymes exhibited similar K(s) values for each of the four NTPs (1-5 microM), DeltaC(21)-NS5B generally required lower NTP concentrations than FL-NS5B for optimal synthesis. Interestingly, DeltaC(21)-NS5B became severely inhibited at elevated NTP concentrations, which most likely is due to competitive binding of the noncomplementary nucleotide to the polymerase catalytic center. Finally, the terminal transferase activity of DeltaC(21)-NS5B was found to be distinct from that of FL-NS5B on several different RNA templates. Together, these findings indicated that the HCV NS5B C(21) domain, in addition to being a membrane anchor, functions in template binding, NTP substrate selection, and modulation of terminal transferase activity.     

ACE1 polymorphism and progression of SARS

We have hypothesized that genetic predisposition influences the progression of SARS. Angiotensin converting enzyme (ACE1) insertion/deletion (I/D) polymorphism was previously reported to show association with the adult respiratory distress syndrome, which is also thought to play a key role in damaging the lung tissues in SARS cases. This time, the polymorphism was genotyped in 44 Vietnamese SARS cases, with 103 healthy controls who had had a contact with the SARS patients and 50 controls without any contact history. SARS cases were divided into either non-hypoxemic or hypoxemic groups. Despite the small sample size, the frequency of the D allele was significantly higher in the hypoxemic group than in the non-hypoxemic group (p=0.013), whereas there was no significant difference between the SARS cases and controls, irrespective of a contact history. ACE1 might be one of the candidate genes that influence the progression of pneumonia in SARS.     

Chaos game representation of protein sequences based on the detailed HP model and their multifractal and correlation analyses

Similar to the chaos game representation (CGR) of DNA sequences proposed by Jeffrey (Nucleic Acid Res. 18 (1990) 2163), a new CGR of protein sequences based on the detailed HP model is proposed. Multifractal and correlation analyses of the measures based on the CGR of protein sequences from complete genomes are performed. The Dq spectra of all organisms studied are multifractal-like and sufficiently smooth for the Cq curves to be meaningful. The Cq curves of bacteria resemble a classical phase transition at a critical point. The correlation distance of the difference between the measure based on the CGR of protein sequences and its fractal background is also proposed to construct a more precise phylogenetic tree of bacteria.     

Complete probabilistic analysis of RNA shapes

Background  

Soon after the first algorithms for RNA folding became available, it was recognised that the prediction of only one energetically optimal structure is insufficient to achieve reliable results. An in-depth analysis of the folding space as a whole appeared necessary to deduce the structural properties of a given RNA molecule reliably. Folding space analysis comprises various methods such as suboptimal folding, computation of base pair probabilities, sampling procedures and abstract shape analysis. Common to many approaches is the idea of partitioning the folding space into classes of structures, for which certain properties can be derived.     

Concomitant requirement for Notch and Jak/Stat signaling during neuro-epithelial differentiation in the Drosophila optic lobe

The optic lobe forms a prominent compartment of the Drosophila adult brain that processes visual input from the compound eye. Neurons of the optic lobe are produced during the larval period from two neuroepithelial layers called the outer and inner optic anlage (OOA, IOA). In the early larva, the optic anlagen grow as epithelia by symmetric cell division. Subsequently, neuroepithelial cells (NE) convert into neuroblasts (NB) in a tightly regulated spatio-temporal progression that starts at the edges of the epithelia and gradually move towards its centers. Neuroblasts divide at a much faster pace in an asymmetric mode, producing lineages of neurons that populate the different parts of the optic lobe. In this paper we have reconstructed the complex morphogenesis of the optic lobe during the larval period, and established a role for the Notch and Jak/Stat signaling pathways during the NE-NB conversion. After an early phase of complete overlap in the OOA, signaling activities sort out such that Jak/Stat is active in the lateral OOA which gives rise to the lamina, and Notch remains in the medial cells that form the medulla. During the third instar, a wave front of enhanced Notch activity progressing over the OOA from medial to lateral controls the gradual NE-NB conversion. Neuroepithelial cells at the medial edge of the OOA, shortly prior to becoming neuroblasts, express high levels of Delta, which activates the Notch pathway and thereby maintains the OOA in an epithelial state. Loss of Notch signaling, as well as Jak/Stat signaling, results in a premature NE-NB conversion of the OOA, which in turn has severe effects on optic lobe patterning. Our findings present the Drosophila optic lobe as a useful model to analyze the key signaling mechanisms controlling transitions of progenitor cells from symmetric (growth) to asymmetric (differentiative) divisions.     

Development of enzyme flow calorimeter system for monitoring of microbial glycerol conversion

Glycerokinase from Cellulomonas sp. was used to develop biosensor based on flow calorimetry for quantitative analysis of glycerol during bioconversion process. An automatic flow injection analysis device with the glycerol biosensor was built and tested during growth on glycerol of 1,3-propanediol-producing bacteria. The biosensor exhibited an extreme storage and operational stability enabling us to use it for more than 2 years without significant loss of sensitivity. No interference with 1,3-propanediol and fermentation medium was observed. The linear range of glycerol concentration up to 70 mM was extended by developed automatic dilution technique with the aim of automatic online monitoring of microbial process. The analytical system was able to monitor the bioconversion process in a fully automatic way during the whole run with sampling frequency of one sample per 10 min.     

Gluconobacter in biosensors: applications of whole cells and enzymes isolated from gluconobacter and acetobacter to biosensor construction

Bacteria belonging to the genus Acetobacter and Gluconobacter, and enzymes isolated from them, have been extensively used for biosensor construction in the last decade. Bacteria used as a biocatalyst are easy to prepare and use in amperometric biosensors. They contain multiple enzyme activities otherwise not available commercially. The range of compounds analyzable by Gluconobacter biosensors includes: mono- and poly-alcohols, multiple aldoses and ketoses, several disaccharides, triacylglycerols, and complex parameters like utilizable saccharides or biological O₂ demand. Here, the recent trends in Gluconobacter biosensors and current practical applications are summarized. An erratum to this article can be found at     

Isotopomer analysis of myocardial substrate metabolism: a systems biology approach

The increasing accessibility of mass isotopomer data via GC-MS and NMR technology has necessitated the use of a systematic and reliable method to take advantage of such data for flux analysis. Here we applied a nonlinear, optimization-based method to study substrate metabolism in cardiomyocytes using (13)C data from perfused mouse hearts. The myocardial metabolic network used in this study accounts for 257 reactions and 240 metabolites, which are further compartmentalized into extracellular space, cytosol, and mitochondrial matrix. Analysis of the perfused mouse heart showed that the steady-state ATP production rate was 16.6 +/- 2.3 micromol/min . gww, with 30% of the ATP coming from glycolysis. Of the four substrates available in the perfusate (glucose, pyruvate, lactate, and oleate), exogenous glucose forms the majority of cytosolic pyruvate. Pyruvate decaboxylation is significantly higher than carboxylation, suggesting that anaplerosis is low in the perfused heart. Exchange fluxes were predicted to be high for reversible enzymes in the citric acid cycle (CAC), but low in the glycolytic pathway. Pseudoketogenesis amounted to approximately 50% of the net ketone body uptake. Sensitivity analysis showed that the estimated flux distributions were relatively insensitive to experimental errors. The application of isotopomer data drastically improved the estimation of reaction fluxes compared to results computed with respect to reaction stoichiometry alone. Further study of 12 commonly used (13)C glucose mixtures showed that the mixtures of 20% [U-(13)C(6)] glucose, 80% [3 (13)C] glucose and 20% [U-(13)C(6)] glucose, 80% [4 (13)C] were best for resolving fluxes in the current network.