The importance of dendritic mitochondria in the morphogenesis and plasticity of spines and synapses

The proper intracellular distribution of mitochondria is assumed to be critical for normal physiology of neuronal cells, but direct evidence for this idea is lacking. Extension or movement of mitochondria into dendritic protrusions correlates with the development and morphological plasticity of spines. Molecular manipulations of dynamin-like GTPases Drp1 and OPA1 that reduce dendritic mitochondria content lead to loss of synapses and dendritic spines, whereas increasing dendritic mitochondrial content or mitochondrial activity enhances the number and plasticity of spines and synapses. Thus, the dendritic distribution of mitochondria is essential and limiting for the support of synapses. Reciprocally, synaptic activity modulates the motility and fusion/fission balance of mitochondria and controls mitochondrial distribution in dendrites.     

Cloning and Sequence Analysis of the dhaT Gene of the 1,3-Propanediol Regulon from Klebsiella Pneumoniae

1,3-Propanediol oxidoreductase encoded by dhaT gene, a gene of 1,3-propanediol regulon, is important in converting glycerol to 1,3-propanediol in Klebsiella pneumoniae. DhaT gene was amplified from the genome of K. pneumoniae, sequenced and its amino acid sequence deduced. A predicted secondary structure and 3D-structural model was constructed by homology modelling. Based on these results, we infer that 1,3-propanediol oxidoreductase belongs to NAD(P)-dependent alcohol dehydrogenase group III of iron-activated dehydrogenases.     

An improved transiently chaotic neural network for the maximum independent set problem

By analyzing the dynamic behaviors of the transiently chaotic neural network and greedy heuristic for the maximum independent set (MIS) problem, we present an improved transiently chaotic neural network for the MIS problem in this paper. Extensive simulations are performed and the results show that this proposed transiently chaotic neural network can yield better solutions to p-random graphs than other existing algorithms. The efficiency of the new model is also confirmed by the results on the complement graphs of some DIMACS clique instances in the second DIMACS challenge. Moreover, the improved model uses fewer steps to converge to stable state in comparison with the original transiently chaotic neural network.     

Effects of ghrelin on the proliferation and secretion of splenic T lymphocytes in mice

Ghrelin, a novel gut--brain peptide predominantly produced by the stomach, displays strong growth hormone (GH)-releasing activity mediated by the hypothalamus-pituitary GH secretagogue receptor (GHS-R). Recently, the ghrelin receptor has also been detected in peripheral systems including immune tissues, suggesting that ghrelin may play an important role in the regulation of immune function. In this paper, we assessed the presence and function of the ghrelin receptor in murine splenic T cells. The enriched T cells express the mRNA of ghrelin and ghrelin receptor mRNA, and there is a significantly positive correlation between them. Moreover, we showed that ghrelin dose-dependently inhibits proliferation of splenic T cells when they are costimulated by anti-CD3. In addition, ghrelin suppressed Th(1) (IL-2 and IFN-gamma) and Th(2) (IL-4 and IL-10) cytokines mRNA expression. These results demonstrate the presence of the ghrelin receptor in murine spleen T lymphocytes and a functional role of ghrelin as a modulator of lymphocyte function. This function of ghrelin may have some relevance to the pathophysiology of immunologic alterations related to metabolism.     

Clustering of amino acids for protein secondary structure prediction

Simple hidden Markov models are proposed for predicting secondary structure of a protein from its amino acid sequence. Since the length of protein conformation segments varies in a narrow range, we ignore the duration effect of length distribution, and focus on inclusion of short range correlations of residues and of conformation states in the models. Conformation-independent and -dependent amino acid coarse-graining schemes are designed for the models by means of proper mutual information. We compare models of different level of complexity, and establish a practical model with a high prediction accuracy.     

Nickel(II) and cobalt(II) complexes of hydroxyl-substituted triazamacrocyclic ligand as potential antitumor agents

The stability constants for the formation of nickel(II) and cobalt(II) complexes of the ligand [1,4,7]triazecan-9-ol (L) were presented. Antitumor activity of two complexes was reported. Nuclei of [NiL]-stimulated BEL-7402 cells clearly exhibited condensation and break down into chromatin clumps typical of apoptosis. Also it exhibited perturbation effects to cell cycle, and optimal induction of apoptosis was found by Flow-Cytometric analysis. But CoL complex did not exhibit introduction effects to BEL-7402 cells apoptosis; and could not perturb cell cycle. NiL and CuL complexes could cleave supercoiled DNA (pBR 322 DNA) to nicked and linear DNA, and DNA of cells treated with NiL or CuL complex was obviously damaged; while CoL complex only could cleave supercoiled DNA (pBR 322 DNA) to nicked DNA, and DNA of cells treated with CoL complex had no significant difference with control.     

High-throughput cell-based screening using scintillation proximity assay for the discovery of inositol phosphatase inhibitors

Inositol monophosphatase is a potential drug target for developing lithium-mimetic agents for the treatment of bipolar disorder. Enzyme-based assays have been traditionally used in compound screening to identify inositol monophosphatase inhibitors. A cell-based screening assay in which the compound needs to cross the cell membrane before reaching the target enzyme offers a new approach for discovering novel structure leads of the inositol monophosphatase inhibitor. The authors have recently reported a high-throughput measurement of G-protein-coupled receptor activation by determining inositol phosphates in cell extracts using scintillation proximity assay. This cell-based assay has been modified to allow the determination of inositol monophosphatase activity instead of G-protein-coupled receptors. The enzyme is also assayed in its native form and physiological environment. The authors have applied this cell-based assay to the high-throughput screening of a large compound collection and identified several novel inositol monophosphatase inhibitors.