Increases in tumor necrosis factor-alpha following transient global cerebral ischemia do not contribute to neuron death in mouse hippocampus

The actions of tumor necrosis factor-alpha (TNF-alpha) produced by resident brain cells and bone marrow-derived cells in brain following a transient global ischemia were evaluated. In wild-type mice (C57Bl/6J) following 20 min ischemia with bilateral common carotid artery occlusion (BCCAo), TNF-alpha mRNA expression levels in the hippocampus were significantly increased at 3 h and 36 h and exhibited a biphasic expression pattern. There were no hippocampal TNF-alpha mRNA expression levels at early time points in either wild-type mice bone marrow transplanted (BMT)-chimeric-TNF-alpha gene-deficient (T/W) or TNF-alpha gene-deficient mice BMT-TNF-alpha gene-deficient mice (T/T), although TNF-alpha mRNA levels were detectable in T/W BMT mice at 36 h. Histopathological findings showed no intergroup differences between wild-type and TNF-alpha gene-deficient mice at 4 and 7 days after transient ischemia. In addition, nuclear factor-kappaB (NF-kappaB) was activated within 12 h after global cerebral ischemia, but electrophoretic mobility shift assays (EMSA) showed no intergroup differences between wild type and TNF-alpha gene-deficient mice. In summary, early hippocampal TNF-alpha mRNA expression may not be related to bone marrow-derived cells, and secondary TNF-alpha expression as early as 36 h after ischemia probably resulted mainly from endogenous brain cells and possibly a few bone marrow-derived cells. Although we cannot exclude the possibility of the TNF-alpha contribution to the physiologic changes of hippocampus after transient global ischemia, these results indicate that TNF-alpha does not influence the morphological changes of the hippocampal neurons under our study condition.     

Sister group relationship of turtles to the bird-crocodilian clade revealed by nuclear DNA-coded proteins

The phylogenetic position of turtles is a currently controversial issue. Recent molecular studies rejected a traditional view that turtles are basal living reptiles (Hedges, S. B., and L. L. Poling. 1999. A molecular phylogeny. Science 83:998-1001; Kumazawa, Y., and M. Nishida. 1999. Complete mitochondrial DNA sequences of the green turtle and blue-tailed mole skink, statistical evidence for archosaurian affinity of turtles. Mol. Biol. Evol. 16:784-792). Instead, these studies grouped turtles with birds and crocodiles. The relationship among turtles, birds, and crocodiles remained unclear to date. To resolve this issue, we have cloned and sequenced two nuclear genes encoding the catalytic subunit of DNA polymerase alpha and glycinamide ribonucleotide synthetase-aminoimidazole ribonucleotide synthetase-glycinamide ribonucleotide formyltransferase from amniotes and an amphibian. The amino acid sequences of these proteins were subjected to a phylogenetic analysis based on the maximum likelihood method. The resulting tree showed that turtles are the sister group to a monophyletic cluster of archosaurs (birds and crocodiles). All other possible tree topologies were significantly rejected.     

Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm

MOTIVATION: To resolve the high-dimensionality of the genetic network inference problem in the S-system model, a problem decomposition strategy has been proposed. While this strategy certainly shows promise, it cannot provide a model readily applicable to the computational simulation of the genetic network when the given time-series data contain measurement noise. This is a significant limitation of the problem decomposition, given that our analysis and understanding of the genetic network depend on the computational simulation. RESULTS: We propose a new method for inferring S-system models of large-scale genetic networks. The proposed method is based on the problem decomposition strategy and a cooperative coevolutionary algorithm. As the subproblems divided by the problem decomposition strategy are solved simultaneously using the cooperative coevolutionary algorithm, the proposed method can be used to infer any S-system model ready for computational simulation. To verify the effectiveness of the proposed method, we apply it to two artificial genetic network inference problems. Finally, the proposed method is used to analyze the actual DNA microarray data.     

A new analysis of the depolymerized fragments of lignin polymer using ToF-SIMS

Lignin in plant cell walls is a complex, irregular polymer built from phenylpropanoid C6-C3 units that are connected via various C-C and C-O linkages. A recent study using time-of-flight secondary ion mass spectrometry (ToF-SIMS) with Ga primary ion bombardment showed that lignin polymers can be characterized by specific positive ions possessing a substituted aromatic ring (so-called guaiacyl or syringyl rings), which are the basic building units of lignin. To study the relationship between the characteristic ions of lignin and the common interunit linkages, various lignin dimer model compounds were investigated using ToF-SIMS. The resulting dimer spectra showed that the characteristic ions with a guaiacyl ring at m/z 137 and 151 result from rupture of most common interunit linkages, not only 8-O-4' linkages, which are the most abundant in lignin, but also 8-1', 8-5', and 8-8'. There was no evidence of rupture of 5-5' linkages. These results show that ToF-SIMS offers a new tool for the direct analysis of the depolymerized fragments of lignin polymers. The mechanisms for the fragmentation of lignin dimer models in ToF-SIMS were proposed that allow ToF-SIMS fragmentation rules to be deduced. Adduct ions such as [M + 13]+ ([M + CH]+) were also produced in fragmentation of the dimers and are thought to arise from the combination of the molecules with their stable fragments.     

Expression of class A scavenger receptor is enhanced by high glucose in vitro and under diabetic conditions in vivo: one mechanism for an increased rate of atherosclerosis in diabetes

In the early stage of atherosclerosis, macrophages take up chemically modified low density lipoproteins (LDL) through the scavenger receptors, leading to foam cell formation in atherosclerotic lesions. To get insight into a role of the scavenger receptors in diabetes-enhanced atherosclerotic complications, the effects on class A scavenger receptor (SR-A) of high glucose exposure in vitro as well as the diabetic conditions in vivo were determined in the present study. The in vitro experiments demonstrated that high glucose exposure to human monocyte-derived macrophages led to an increased SR-A expression with a concomitant increase in the endocytic uptake of acetylated LDL and oxidized LDL. The endocytic process was significantly suppressed by an anti-SR-A neutralizing antibody. Stability analyses revealed a significant increased stability of SR-A at a mRNA level but not a protein level, indicating that high glucose-induced up-regulation of SR-A is due largely to increased stability of SR-A mRNA. High glucose-enhanced SR-A expression was prevented by protein kinase C and NAD(P)H oxidase inhibitors as well as antioxidants. High glucose-enhanced production of intracellular peroxides was visualized in these cells, which was attenuated by an antioxidant. The in vivo experiments demonstrated that peritoneal macrophages from streptozotocin-induced diabetic mice increased SR-A expression when compared with those from nondiabetic mice. Endocytic degradation of acetylated LDL and oxidized LDL were also increased with these macrophages but not with the corresponding macrophages from diabetic SR-A knock-out mice. These in vitro and in vivo results probably suggest that reactive oxygen species generated from a protein kinase C-dependent NAD(P)H oxidase pathway plays a role in the high glucose-induced up-regulation of SR-A, leading to the increased endocytic degradation of modified LDL for foam cell formation. This could be one mechanism for an increased rate of atherosclerosis in patients with diabetes.     

Evidence for Cd101 but not Fcgr1 as candidate for type 1 diabetes locus, Idd10

Among polygenes conferring susceptibility to type 1 diabetes in the NOD mouse, Idd10 on distal chromosome 3 has been shown to be important for disease susceptibility. In this study, we investigated the candidacy of Fcgr1 and Cd101 for Idd10, by congenic mapping and candidate gene sequencing. Among seven NOD-related strains studied, the IIS mouse was found to possess a recombinant Idd10 interval with the same sequence at Fcgr1 as the NOD mouse, but a different sequence at Cd101 from that in the NOD mouse with 10 amino acid substitutions. The frequency of type 1 diabetes in NOD mice congenic for IIS Idd10 (NOD.IISIdd10) was significantly reduced as compared to that in the NOD mouse, despite the presence of the identical Fcgr1 sequence. These data indicate that IIS mice possess a resistant allele at Idd10, and suggest that Cd101, but not Fcgr1, is responsible for the Idd10 effect.     

GAT (GGA and Tom1) domain responsible for ubiquitin binding and ubiquitination

GGAs (Golgi-localizing, gamma-adaptin ear domain homology, ADP-ribosylation factor (ARF)-binding proteins) are a family of monomeric adaptor proteins involved in membrane trafficking from the trans-Golgi network to endosomes. The GAT (GGA and Tom1) domains of GGAs have previously been shown to interact with GTP-bound ARF and to be crucial for membrane recruitment of GGAs. Here we show that the C-terminal subdomain of the GAT domain, which is distinct from the N-terminal GAT subdomain responsible for ARF binding, can bind ubiquitin. The binding is mediated by interactions between residues on one side of the alpha3 helix of the GAT domain and those on the so-called Ile-44 surface patch of ubiquitin. The binding of the GAT domain to ubiquitin can be enhanced by the presence of a GTP-bound form of ARF. Furthermore, GGA itself is ubiquitinated in a manner dependent on the GAT-ubiquitin interaction. These results delineate the molecular basis for the interaction between ubiquitin and GAT and suggest that GGA-mediated trafficking is regulated by the ubiquitin system as endosomal trafficking mediated by other ubiquitin-binding proteins.     

TDAG8 is a proton-sensing and psychosine-sensitive G-protein-coupled receptor

T cell death-associated gene 8 (TDAG8) has been reported to be a receptor for psychosine. Ovarian cancer G-protein-coupled receptor 1 (OGR1) and GPR4, G-protein-coupled receptors (GPCRs) closely related to TDAG8, however, have recently been identified as proton-sensing or extracellular pH-responsive GPCRs that stimulate inositol phosphate and cAMP production, respectively. In the present study, we examined whether TDAG8 senses extracellular pH change. In the several cell types that were transfected with TDAG8 cDNA, cAMP was markedly accumulated in response to neutral to acidic extracellular pH, with a peak response at approximately pH 7.0-6.5. The pH effect was inhibited by copper ions and was reduced or lost in cells expressing mutated TDAG8 in which histidine residues were changed to phenylalanine. In the membrane fractions prepared from TDAG8-transfected cells, guanosine 5'-O-(3-thiotriphosphate) binding activity and adenylyl cyclase activity were remarkably stimulated in response to neutral and acidic pH. The concentration-dependent effect of extracellular protons on cAMP accumulation was shifted to the right in the presence of psychosine. The inhibitory psychosine effect was also observed for pH-dependent actions in OGR1- and GPR4-expressing cells but not for prostaglandin E(2)- and sphingosine 1-phosphate-induced actions in any pH in native and sphingosine 1-phosphate receptor-expressing cells. Glucosylsphingosine and sphingosylphosphorylcholine similarly inhibited the pH-dependent action, although to a lesser extent. Psychosine-sensitive and pH-dependent cAMP accumulation was also observed in mouse thymocytes. We concluded that TDAG8 is one of the proton-sensing GPCRs coupling to adenylyl cyclase and psychosine, and its related lysosphingolipids behave as if they were antagonists against protein-sensing receptors, including TDAG8, GPR4, and OGR1.