In vitro biocompatibility of dextrin: the addition of a low concentration of dextrin in the medium promotes the cell activity of L929 mouse fibroblasts

To develop a bone substitute with shape-generating properties, we focused our attention on dextrin, which has a low viscosity. After considering methods of evaluation for research and development, we started by using cells that are widely used for safe biological evaluations in the field of dentistry and conducted in vitro evaluations. In this experiment, we variously added concentrations of 0.1, 1.0 and 10 mmol/l of dextrin to a culture medium in order to examine the effects on L929 mouse fibroblasts in vitro. As a result, the proliferative activity of the L929 cells was promoted during the culture period as the concentration of added dextrin became lower, and in particular, the 0.1 and 1 mmol/l addition group showed higher values than those of the control group. From the above results, it was revealed that the addition of a low concentration of dextrin in a medium promotes the cell proliferative activity.     

Software for systems biology: from tools to integrated platforms

Understanding complex biological systems requires extensive support from software tools. Such tools are needed at each step of a systems biology computational workflow, which typically consists of data handling, network inference, deep curation, dynamical simulation and model analysis. In addition, there are now efforts to develop integrated software platforms, so that tools that are used at different stages of the workflow and by different researchers can easily be used together. This Review describes the types of software tools that are required at different stages of systems biology research and the current options that are available for systems biology researchers. We also discuss the challenges and prospects for modelling the effects of genetic changes on physiology and the concept of an integrated platform.     

Probabilistic alignments with quality scores: an application to short-read mapping toward accurate SNP/indel detection

MOTIVATION: Recent studies have revealed the importance of considering quality scores of reads generated by next-generation sequence (NGS) platforms in various downstream analyses. It is also known that probabilistic alignments based on marginal probabilities (e.g. aligned-column and/or gap probabilities) provide more accurate alignment than conventional maximum score-based alignment. There exists, however, no study about probabilistic alignment that considers quality scores explicitly, although the method is expected to be useful in SNP/indel callers and bisulfite mapping, because accurate estimation of aligned columns or gaps is important in those analyses. RESULTS: In this study, we propose methods of probabilistic alignment that consider quality scores of (one of) the sequences as well as a usual score matrix. The method is based on posterior decoding techniques in which various marginal probabilities are computed from a probabilistic model of alignments with quality scores, and can arbitrarily trade-off sensitivity and positive predictive value (PPV) of prediction (aligned columns and gaps). The method is directly applicable to read mapping (alignment) toward accurate detection of SNPs and indels. Several computational experiments indicated that probabilistic alignments can estimate aligned columns and gaps accurately, compared with other mapping algorithms e.g. SHRiMP2, Stampy, BWA and Novoalign. The study also suggested that our approach yields favorable precision for SNP/indel calling.     

Restriction and modification of SP10 phage by BsuM of Bacillus subtilis Marburg

Bacillus subtilis Marburg has only one intrinsic restriction and modification system BsuM that recognizes the CTCGAG (XhoI site) sequence. It consists of two operons, BsuMM operon for two cytosine DNA methyltransferases, and BsuMR operon for a restriction nuclease and two associated proteins of unknown function. In this communication, we analyzed the BsuM system by utilizing phage SP10 that possesses more than twenty BsuM target sequences on the phage genome. SP10 phages grown in the restriction and modification-deficient strain could not make plaques on the restriction-proficient BsuMR(+) indicator strain. An enforced expression of the wild type BsuMM operon in the BsuMR(+) indicator strain, however, allowed more than thousand times more plaques. DNA extracted from SP10 phages, thus, propagated became more but not completely refractory to XhoI digestion in vitro. Thus, the SP10 phage genome DNA is able to be nearly full-methylated but some BsuM sites are considered to be unmethylated.     

Sonic hedgehog myocardial gene therapy: tissue repair through transient reconstitution of embryonic signaling

Sonic hedgehog (Shh) is a crucial regulator of organ development during embryogenesis. We investigated whether intramyocardial gene transfer of naked DNA encoding human Shh (phShh) could promote a favorable effect on recovery from acute and chronic myocardial ischemia in adult animals, not only by promoting neovascularization, but by broader effects, consistent with the role of this morphogen in embryogenesis. After Shh gene transfer, the hedgehog pathway was upregulated in mammalian fibroblasts and cardiomyocytes. This resulted in preservation of left ventricular function in both acute and chronic myocardial ischemia by enhanced neovascularization, and reduced fibrosis and cardiac apoptosis. Shh gene transfer also enhanced the contribution of bone marrow-derived endothelial progenitor cells to myocardial neovascularization. These data suggest that Shh gene therapy may have considerable therapeutic potential in individuals with acute and chronic myocardial ischemia by triggering expression of multiple trophic factors and engendering tissue repair in the adult heart.     

Accurate extraction of functional associations between proteins based on common interaction partners and common domains

MOTIVATION: Genomic and proteomic approaches have accumulated a huge amount of data which provide clues to protein function. However, interpreting single omic data for predicting uncharacterized protein functions has been a challenging task, because the data contain a lot of false positives. To overcome this problem, methods for integrating data from various omic approaches are needed for more accurate function prediction. RESULT: In this paper, we have developed a method which extracts functionally similar proteins with high confidence by integrating protein-protein interaction data and domain information. We used this method to analyze publicly available data from Saccharomyces cerevisiae. We identified 1042 functional associations, involving 765 proteins of which 98 (12.8%) had no previously ascribed function. Our method extracts functionally similar protein pairs more accurately than conventional methods, and predicting function for previously uncharacterized proteins can be achieved. Our method can of course be applied to protein-protein interaction data for any species.     

Optimization of a coagulation factor VIIa inhibitor found in factor Xa inhibitor library

An inhibitor of the complex of factor VIIa and tissue factor (fVIIa/TF), 2-substituted-4-amidinophenylpyruvic acid 1a, was structurally modified with the aim of increasing its potency and selectivity. The lead compound 1a was originally found in our factor Xa (fXa) inhibitor library on the basis of structural similarity of the primary binding sites of fVIIa and fXa. The design was based on computational docking studies using the extracted active site of fVIIa. Compound 1j was found to inhibit factor VIIa/TF at nanomolar concentration with improved selectivity versus fXa and thrombin and it preferentially prolonged the clotting time in the TF-dependent extrinsic pathway.     

Hypoxic stress enhances osteoclast differentiation via increasing IGF2 production by non-osteoclastic cells

Development of bone depends on a continuous supply of bone-degrading osteoclasts. Although several factors such as cytokines and integrins have been shown to be important for osteoclast recruitment, their mechanism of action is poorly understood. In this study, we demonstrated the enhancement of osteoclast formation by hypoxia and investigated the molecular mechanisms involved. Primary mouse bone marrow cells were cultured in normoxic and hypoxic conditions, and RNA was prepared from each group of cells. Total RNAs were applied to a DNA microarray analysis and then RT-PCR was performed to confirm the microarray data. The most interesting finding of our microarray analysis was upregulation of insulin-like growth factor 2 (IGF2) and stromal cell-derived factor 1 (SDF1) under hypoxic conditions. RT-PCR analysis revealed that IGF2 expression was markedly upregulated in the non-osteoclastic cells. The addition of exogenous IGF2 increased the number of osteoclastic TRAP-positive multinuclear cells formed under normoxic conditions, whereas the addition of exogenous SDF1 did not change osteoclast formation. These results suggest that the upregulation of IGF2 derived from non-osteoclastic cells might be a crucial factor for osteoclast differentiation.