Masaharu Kanaoka

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.

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.

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-Ghrhrlit/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.

Identification of the Catalytic Residues of Carboxylesterase from Arthrobacter globiformis by Diisopropyl Fluorophosphate-Labeling and Site-Directed Mutagenesis

The role of amino acid residues in the enzymatic activity of carboxylesterase from Arthrobacter globiformis was analyzed by diisopropyl fluorophosphate (DFP) labeling and site-directed mutagenesis. The electrospray ionization mass spectrometric (ESI-MS) analysis of the esterase, covalently labeled by DFP, showed stoichiometric incorporation of the inhibitor into the enzyme. The further comparison of endopeptidase-digested fragments between native and DFP-labeled esterase by fast atom bombardment mass spectrometric (FAB-MS) analysis as well as site-directed mutagenesis indicated that Ser59 in the consensus sequence Ser-X-X-Lys, which is conserved exclusively in penicillin-binding proteins and some esterases, served as a catalytic nucleophile. In addition, the results obtained from analysis of the mutants at position 62 suggested the importance of the basic amino acid side chain at this position, and suggested the significance of this residue acting directly as a general base rather than its involvement in the maintenance of the optimum hydrogen-bonding network at the active site.