Biomedical subjects

Masaharu Kanaoka

Publications and source records attributed to Masaharu Kanaoka.

10 recordsLinked to original sources

PubMed2007

Two-dimensional differential gel electrophoresis of rat heart proteins in ischemia and ischemia-reperfusion.

Ischemia-reperfusion injury occurs in acute myocardial infarction, cardiopulmonary bypass surgery, and heart transplantation. However the precise mechanisms still remain unclear. In order to identify proteins that are involved in ischemia-reperfusion injury, we compared precipitated 100,000g fractions of normal, ischemic, and ischemic-reperfused rat hearts using two-dimensional (2D) difference gel electrophoresis (2D-DIGE). 2D-DIGE is reliable method to define quantitative protein differences, especially when subtle protein changes are under investigation. In this study, six spots that changed more than twofold and two additional spots related to these spots were detected. Five of the spots were identified by matrix-assisted laser desorption/ionization time of flight mass spectrometry as protein disulfide isomerase, one as 60 kDa heat-shock protein, and two as elongation factor Tu.

Animals↗

PubMed2006

Crystal structures of the catalytic domain of human stromelysin-1 (MMP-3) and collagenase-3 (MMP-13) with a hydroxamic acid inhibitor SM-25453.

Crystal structures of the catalytic domain of human stromelysin-1 (MMP-3) and collagenase-3 (MMP-13) with a hydroxamic acid inhibitor SM-25453 have been solved at 2.01 and 2.37A resolutions, respectively. The results revealed that the binding modes for this inhibitor to MMP-3 and -13 were quite similar. However, subtle comparative differences were observed at the bottom of S1' pockets, which were occupied with the guanidinomethyl moiety of the inhibitor. A remarkable feature of the inhibitor was the deep penetration of its long aliphatic chain into the S1' pocket and exposure of the guanidinomethyl moiety to the solvent.

Amino Acid Sequence↗

PubMed2006

RNA interference in immune cells by use of osmotic delivery of siRNA.

Delivery of siRNA to immune cells has been one of the major obstacles to widespread application of RNAi in the immunology field. Here, we report that osmotic delivery of siRNA can be used to silence genes in macrophage RAW264.7 without incurring either cytotoxic or immunomodulatory activity. We also showed usefulness of the osmotic delivery in other types of cells including T cell DO11.10. By repeated osmotic delivery of siRNA, long-term gene silencing was readily achieved. When TLR4 was disrupted in RAW264.7 cells for 48 h and the cells were stimulated with the TLR4 ligand LPS, a significant decrease in TNFalpha production was observed. DNA microarray-based gene expression profile analysis showed that gene silencing by osmotic delivery of siRNA was target-specific and the delivery method itself had little influence on overall gene expression.

Animals↗

PubMed2005

Identification of phosphodiesterase-1 and 5 dual inhibitors by a ligand-based virtual screening optimized for lead evolution.

We identified new lead candidates which showed potent dual inhibition against phosphodiesterase-1 and 5 by a ligand-based virtual screening optimized for lead evolution. This virtual screening method, consisting of classification and regression tree analysis using 168 2-center pharmacophore descriptors and 12 macroscopic descriptors, demonstrated a high predictive ability for bioactivity of new chemical compounds. The obtained lead candidates were structurally diverse, although only the structure-activity relationship data of hydroxamic acid derivatives were used to configure the prediction model for the virtual screening.

Drug Evaluation, Preclinical↗

PubMed2005

Prediction of siRNA functionality using generalized string kernel and support vector machine.

Small interfering RNAs (siRNAs) are becoming widely used for sequence-specific gene silencing in mammalian cells, but designing an effective siRNA is still a challenging task. In this study, we developed an algorithm for predicting siRNA functionality by using generalized string kernel (GSK) combined with support vector machine (SVM). With GSK, siRNA sequences were represented as vectors in a multi-dimensional feature space according to the numbers of subsequences in each siRNA, and subsequently classified with SVM into effective or ineffective siRNAs. We applied this algorithm to published siRNAs, and could classify effective and ineffective siRNAs with 90.6%, 86.2% accuracy, respectively.

Algorithms↗

PubMed2005

18O-labeling quantitative proteomics using an ion trap mass spectrometer.

We describe a method for simultaneous identification and quantitation of proteins within complex mixtures. The method consists of 18O-labeling, a simple stable isotope-coding that requires merely enzymatic digestion in 18O-water, in combination with a capillary-liquid chromatography electrospray ion-trap mass spectrometer. In a separate experiment using the same sample and a spike test, we demonstrate that the difference ration was calculated accurately using the 18O-labeling method even if the protein was part of a complex mixture. Our data also suggest that the accuracy of the quantitation can be improved by averaging the difference ratios of several peptides. In comparing our method with the isotope-coded affinity tag (ICAT) method, we show that the 18O-labeling method has the advantages of better recovery and fewer isotope effects. Therefore, the 18O-labeling method is a powerful tool for large-scale proteomics applications.

Animals↗

PubMed2004

Computational prediction of the plasma protein-binding percent of diverse pharmaceutical compounds.

A nonlinear regression analysis has been applied to develop a new method to predict the plasma protein-binding percent of structurally diverse pharmaceutical compounds. The analysis included over 300 launched drugs with experimental human plasma protein binding percent data. These drugs were classified according to protonation state and pharmacophore features. The correlation formula for each class is a simple sigmoidal function of variable LogP or LogD. A correlation formula of variable LogD at pH 7.4 with a good correlation coefficient (R-squared = 0.803) was obtained for neutral and basic drugs, with the exception of zwitterions. A correlation formula using LogP as variable for acidic drugs with one of the specific pharmacophore features gave a good correlation coefficient (R-squared = 0.786). The method was verified using the protein binding data of 20 compounds that had not been included in the data set to configure the formulas. The correlation coefficient (R-squared) between the experimental and predicted protein binding percent was 0.830. In conclusion, the method developed and described in this report can provide precise and useful prediction of plasma protein binding percent for new drug candidates.

Blood Proteins↗

PubMed2003

Cutting edge: Requirement for growth hormone-releasing hormone in the development of experimental autoimmune encephalomyelitis.

Growth hormone (GH)-releasing hormone (GHRH) is a neuropeptide that stimulates secretion of GH from the pituitary gland. Although GHRH and its receptor (GHRHR) are expressed in leukocytes, physiological function of GHRH in the immune system remains unclear. To study the influence of GHRH in autoimmunity, susceptibility to experimental autoimmune encephalomyelitis (EAE) was examined in C57BL/6J-Ghrhr(lit/lit) (lit/lit), mice deficient in the GHRHR gene. We found that lit/lit mice were resistant to myelin oligodendrocyte glycoprotein (MOG)-induced EAE. Splenocytes from MOG-immunized lit/lit mice proliferated normally in response to MOG peptide, suggesting that activation of MOG-specific T cells in GHRHR-deficient mice is not impaired. Our data strongly suggest that GHRH plays a crucial role in the development of EAE and may provide the basis for a novel therapeutic approach protecting from autoimmune diseases.

Amino Acid Sequence↗

PubMed2003

Proteomic analysis of rat heart in ischemia and ischemia-reperfusion using fluorescence two-dimensional difference gel electrophoresis.

Ischemia-reperfusion injury is a major complication occurring in acute myocardial infarction, cardiopulmonary bypass surgery, and heart transplantation. The aim of this study was to identify proteins that were involved in ischemia-reperfusion injury using fluorescence two-dimensional difference gel electrophoresis. We compared the 100,000 x g precipitate fractions of normal, ischemic and ischemia-reperfused rat hearts and detected six spots which changed more than two-fold in expression level and two additional spots related to these spots. Using peptide mass fingerprinting by matrix-assisted laser desorption/ionization-time of flight mass spectrometry, we identified five of these spots as protein disulfide isomerase A3 (PDA3), one as 60 kDa heat shock protein (HSP60) and two as elongation factor Tu (EF-Tu). HSP60 was increased during ischemia and decreased to normal expression level after reperfusion. EF-Tu was increased in ischemia but not decreased by reperfusion. We also found that several protein spots of PDA3 shifted towards a higher isoelectric point in ischemia and ischemia-reperfusion. Our data strongly suggested that PDA3 underwent dephosphorylation during ischemia and reperfusion and serine 343 of PDA3 was one of the phosphorylation sites.

Animals↗

PubMed2002

Design, synthesis and biological activity of novel non-peptidyl endothelin converting enzyme inhibitors, 1-phenyl-tetrazole-formazan analogues.

A novel non-peptidyl endothelin converting enzyme inhibitor was obtained through a pharmacophore analysis of known inhibitors and three-dimensional structure database search. Analogues of the new inhibitor were designed using the structure-activity relationship of known inhibitors and synthesized. In anesthetized rats, intraperitoneal administration of the analogues suppressed the pressor responses induced by big endothelin-1.

Animals↗