Single-turnover kinetics of Saccharomyces cerevisiae inorganic pyrophosphatase

Soluble inorganic pyrophosphatase (PPase), which converts inorganic pyrophosphate (PP(i)) into usable phosphate, is almost universally present as a central enzyme of phosphorus metabolism and uses divalent metal ion as a necessary cofactor. PPase from Saccharomyces cerevisiae (Y-PPase) is the best studied with respect to both structure and mechanism. Here we report the first combined use of stopped flow and quenched flow techniques to study the PPase reaction in both the forward (PP(i) hydrolysis) and back (PP(i) synthesis) directions. The results of these studies permit direct comparison of different divalent metal-ion effects (Mg(2+), Mn(2+), Co(2+)) on microscopic rate constants at pH 7.0. For the Mn-enzyme, on which all of the high-resolution X-ray studies have been conducted, they demonstrate that the rate-determining step changes as a function of pH, from hydrolysis of enzyme-bound PP(i) at low pH to release of the more tightly bound P(i) at high pH. They also provide evidence for two kinetically important forms of the product complex EM(4)(P(i))(2), supporting an earlier suggestion based on crystallographic evidence, and allow informed speculation as to the identities of acidic and basic groups essential for optimal PPase catalytic activity.     

Oligomerization of Hantavirus N protein: C-terminal alpha-helices interact to form a shared hydrophobic space

The structure of the nucleocapsid protein of bunyaviruses has not been defined. Earlier we have shown that Tula hantavirus N protein oligomerization is dependent on the C-terminal domains. Of them, the helix-loop-helix motif was found to be an essential structure. Computer modeling predicted that oligomerization occurs via helix protrusions, and the shared hydrophobic space formed by amino acids residues 380-IILLF-384 in the first helix and 413-LI-414 in the second helix is responsible for stabilizing the interaction. The model was validated by two approaches. First, analysis of the oligomerization capacity of the N protein mutants performed with the mammalian two-hybrid system showed that both preservation of the helix structure and formation of the shared hydrophobic space are crucial for the interaction. Second, oligomerization was shown to be a prerequisite for the granular pattern of transiently expressed N protein in transfected cells. N protein trimerization was supported by three-dimensional reconstruction of the N protein by electron microscopy after negative staining. Finally, we discuss how N protein trimerization could occur.     

Molecular analysis of the genotype-phenotype relationship in factor X deficiency

Factor X deficiency is a rare haemorrhagic condition, normally inherited as an autosomal recessive trait, in which a variable clinical presentation correlates poorly with laboratory phenotype. The factor X (F10) genes of 14 unrelated individuals with factor X deficiency (12 familial and two sporadic cases) were sequenced yielding a total of 13 novel mutations. Family studies were performed in order to distinguish the contributions of individual mutant F10 alleles to the clinical and laboratory phenotypes. Missense mutations were studied by means of molecular modelling, whereas single basepair substitutions in splice sites and the 5' flanking region were examined by in vitro splicing assay and luciferase reporter gene assay respectively. The deletion allele of a novel hexanucleotide insertion/deletion polymorphism in the F10 gene promoter region was shown by reporter gene assay, to reduce promoter activity by approximately 20%. One family manifesting an autosomal dominant pattern of inheritance possessed three clinically affected members who were heterozygous for a splice-site mutation that was predicted to lead to the production of a truncated protein product. A model which accounts for the dominant negative effect of this lesion is presented. Variation in the antigen level of heterozygous relatives of probands was found to be significantly higher between families than within families, consistent with the view that the nature of the F10 lesion(s) segregating in a given family is a prime determinant of the laboratory phenotype. By contrast, no such relationship could be discerned between laboratory phenotype and polymorphism genotype.     

Beta-amyloid (1-42) affects MTT reduction in astrocytes: implications for vesicular trafficking and cell functionality

Beta-amyloid (Abeta) peptide deposition in the brains of Alzheimer's disease patients results in reactive astrogliosis which may enhance neuronal cell death. Abeta has also been reported to impair important supportive astrocyte functions, such as glutamate uptake in vitro. We studied the effect of amyloid beta-peptide (Abeta) on 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reduction, cellular ATP content, lactate release, and proliferation using neonatal rat astrocyte cultures. Abeta(1-42) decreased MTT reduction potently in the absence of cell death, but did not affect cellular ATP levels or lactate release. Moreover, the cells displayed increased proliferation after incubation with Abeta(1-42), confirming that the decreased MTT reduction was not deleterious to cell viability. Abeta(1-42) enhanced transfer of MTT dye to the cell surface leading to cessation of MTT reduction and cell death. Bafilomycin A1, but not brefeldin A, prevented the enhanced trafficking of MTT, suggesting that lysosomes, but not Golgi apparatus, are involved. Our results show that the viability of astrocytes themselves is not diminished by beta-amyloid peptide. However, Abeta alters vesicular trafficking in astrocytes, which may disturb the supportive function of astrocytes in the brains of patients with Alzheimer's disease.     

Synthesis of aminoglycoside-3'-conjugates of 2'-O-methyl oligoribonucleotides and their invasion to a 19F labeled HIV-1 TAR model

The potential of aminoglycosides to induce RNA-invasion has been demonstrated. For this purpose, aminoglycoside-3'-conjugates of 2'-O-methyl oligoribonucleotides have been synthesized entirely on a solid phase. The synthesis includes an automated oligonucleotide chain elongation to solid-supported neomycin, ribostamycin, and methyl neobiosamine, and a two-step deprotection/release of the solid-supported conjugate, which allows exploitation of a simple protecting group scheme. Conjugates have been targeted to a (19)F labeled HIV-1 TAR RNA model (Trans Activation Response element of HIV), which allows monitoring of the invasion by (19)F NMR spectroscopy. A remarkably enhanced invasion, compared to that resulting from the corresponding unmodified 2'-O-methyl oligoribonucleotide (5'-CAGGCUCA-3'), has been obtained by the neomycin conjugate. The increased affinity results from a cooperative binding of the neomycin moiety and hybridization, though the invasion may also follow a mechanism, in which the first molar equivalent of the conjugate induces hybridization of the second.     

Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease

The role of structural brain magnetic resonance imaging (MRI) is becoming more and more emphasized in the early diagnostics of Alzheimer's disease (AD). This study aimed to assess the improvement in classification accuracy that can be achieved by combining features from different structural MRI analysis techniques. Automatically estimated MR features used are hippocampal volume, tensor-based morphometry, cortical thickness and a novel technique based on manifold learning. Baseline MRIs acquired from all 834 subjects (231 healthy controls (HC), 238 stable mild cognitive impairment (S-MCI), 167 MCI to AD progressors (P-MCI), 198 AD) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were used for evaluation. We compared the classification accuracy achieved with linear discriminant analysis (LDA) and support vector machines (SVM). The best results achieved with individual features are 90% sensitivity and 84% specificity (HC/AD classification), 64%/66% (S-MCI/P-MCI) and 82%/76% (HC/P-MCI) with the LDA classifier. The combination of all features improved these results to 93% sensitivity and 85% specificity (HC/AD), 67%/69% (S-MCI/P-MCI) and 86%/82% (HC/P-MCI). Compared with previously published results in the ADNI database using individual MR-based features, the presented results show that a comprehensive analysis of MRI images combining multiple features improves classification accuracy and predictive power in detecting early AD. The most stable and reliable classification was achieved when combining all available features.