Biomedical subjects

Satoru Kuhara

Publications and source records attributed to Satoru Kuhara.

At least 19 recordsLinked to original sources

PubMed2007

Enzymatic properties of newly found green turtle egg white ribonuclease.

Egg white ribonuclease was first found in green turtle eggs. The general properties were studied on substrate specificity, the optimum pH and temperature, and the effect of pH and temperature on the RNase activity. The enzyme studied was specific for poly (C) and degraded poly (U) at the lower rate and had the pH optimum at 7.0 and the optimum temperature at 40 degrees C. It was stable at alkaline range (pH 8.0-10.0) and up to 60 degrees C in pH 9.0 for 1 h, and unstable at acidic side for all temperatures. All of the properties studied showed similarity to RNase A. However, the optimum pH, broad range of optimum temperature and pH stability were different from RNase A. To evaluate the relationship of the structure and enzymatic properties, the 3D-structure of this enzyme was engineered by program MODELLER using two RNases (2BWL and 2BLZ) as starting models. The differences found in activity might be affected from the structure of micro environmental changing caused by amino acids deletion and substitution on the molecule.

Amino Acid Sequence↗

PubMed2006

Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.

BACKGROUND: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease. Among numerous existing methods for gene selection, support vector machine-based recursive feature elimination (SVM-RFE) has become one of the leading methods and is being widely used. The SVM-based approach performs gene selection using the weight vector of the hyperplane constructed by the samples on the margin. However, the performance can be easily affected by noise and outliers, when it is applied to noisy, small sample size microarray data. RESULTS: In this paper, we propose a recursive gene selection method using the discriminant vector of the maximum margin criterion (MMC), which is a variant of classical linear discriminant analysis (LDA). To overcome the computational drawback of classical LDA and the problem of high dimensionality, we present efficient and stable algorithms for MMC-based RFE (MMC-RFE). The MMC-RFE algorithms naturally extend to multi-class cases. The performance of MMC-RFE was extensively compared with that of SVM-RFE using nine cancer microarray datasets, including four multi-class datasets. CONCLUSION: Our extensive comparison has demonstrated that for binary-class datasets MMC-RFE tends to show intermediate performance between hard-margin SVM-RFE and SVM-RFE with a properly chosen soft-margin parameter. Notably, MMC-RFE achieves significantly better performance with a smaller number of genes than SVM-RFE for multi-class datasets. The results suggest that MMC-RFE is less sensitive to noise and outliers due to the use of average margin, and thus may be useful for biomarker discovery from noisy data.

Algorithms↗

PubMed2006

Construction of enzyme-substrate complexes between hen egg-white lysozyme and N-acetyl-D-glucosamine hexamer by systematic conformational search and molecular dynamics simulation.

We constructed the complexes between HEWL and (GlcNAc)6 oligomer in order to investigate the amino acid residues related to substrate binding in the productive and nonproductive complexes, and the relationship between the distortion of the GlcNAc residue D and the formation of the productive complexes. We obtained 49 HEWL-(GlcNAc)6 complexes by a systematic conformational search and classified the each one to the three binding modes; left side, center, or right side. Furthermore we performed the molecular dynamics simulation against 20 HEWL-(GlcNAc)6 complexes (8: chair model, 12 : half-chair model) selected from the 49 complexes to investigate the interaction between HEWL and (GlcNAc)6. As results, we confirmed that it is necessary for GlcNAc residue D to be half-chaired form to bind toward the right side to form productive complexes. We found newly that eight amino acid residues interact with the (GlcNAc)6 oligomer, as follows, Arg73, Gly102, Asn103 for GlcNAc residue A; Asn103 for GlcNAc residues B and C; Leu56, Ala107, Val109 for GlcNAc residue D; Ala110 for GlcNAc residue E; and Lys33 for GlcNAc residue F. We also indicated that GlcNAc residue F does not interact with Thr47 and rarely interacts with Phe34 and Asn37.

Acetylglucosamine↗

PubMed2006

Genome sequence of the cat pathogen, Chlamydophila felis.

Chlamydophila felis (Chlamydia psittaci feline pneumonitis agent) is a worldwide spread pathogen for pneumonia and conjunctivitis in cats. Herein, we determined the entire genomic DNA sequence of the Japanese C. felis strain Fe/C-56 to understand the mechanism of diseases caused by this pathogen. The C. felis genome is composed of a circular 1,166,239 bp chromosome encoding 1005 protein-coding genes and a 7552 bp circular plasmid. Comparison of C. felis gene contents with other Chlamydia species shows that 795 genes are common in the family Chlamydiaceae species and 47 genes are specific to C. felis. Phylogenetic analysis of the common genes reveals that most of the orthologue sets exhibit a similar divergent pattern but 14 C. felis genes accumulate more mutations, implicating that these genes may be involved in the evolutional adaptation to the C. felis-specific niche. Gene distribution and orthologue analyses reveal that two distinctive regions, i.e. the plasticity zone and frequently gene-translocated regions (FGRs), may play important but different roles for chlamydial genome evolution. The genomic DNA sequence of C. felis provides information for comprehension of diseases and elucidation of the chlamydial evolution.

Adaptation, Biological↗

PubMed2006

Complexity of the genomic diversity in enterohemorrhagic Escherichia coli O157 revealed by the combinational use of the O157 Sakai OligoDNA microarray and the Whole Genome PCR scanning.

Escherichia coli O157, an etiological agent of hemorrhagic colitis and hemolytic uremic syndrome, is one of the leading worldwide public health threats. Genome sequencing of two O157 strains have revealed that the chromosome is comprised of a 4.1 Mb backbone shared by K-12 and a total of 1.4 Mb O157-specific sequences. Most of the large O157-specific sequences are prophages and prophage-like elements, which have carried many virulence genes into the O157 genome. This suggests that bacteriophages have played the key roles in the emergence of O157. The Whole Genome PCR Scanning (WGPScanning) analysis of O157 strains, on the other hand, revealed a high level of genomic diversity in O157. Variation of prophages has also been suggested as a major factor generating such diversity. In this study, we analyzed the gene content of O157 strains, by an oligoDNA microarray, using the same set of strains as examined by the WGPScanning method. Although most of the strains were typical O157 : H7, they differed remarkably in gene composition, particularly in those on prophages, and we identified more than 400 'variably absent or present' genes which included virulence-related genes. This confirms the role of prophages in generating the genomic diversity, and raises a possibility that some level of variation in potential virulence is present among O157 strains. Fine comparison of the two datasets obtained by microarray and WGPScanning provided much further details on the O157 genome diversity than illustrated by each method alone, indicating the usefulness of this combinational approach in the genomic comparison of closely related strains.

Combinatorial Chemistry Techniques↗

PubMed2006

ppGpp with DksA controls gene expression in the locus of enterocyte effacement (LEE) pathogenicity island of enterohaemorrhagic Escherichia coli through activation of two virulence regulatory genes.

For a new pathogen to emerge, it must acquire both virulence genes and a system for responding to changes in environmental conditions. Starvation of nutrients or growth arrest induces the stringent response in Escherichia coli, via increased ppGpp. We found the adherence capacity of enterohaemorrhagic E. coli (EHEC) and gene expression in the locus of enterocyte effacement (LEE) were enhanced by a downshift in nutrients or by entry into the stationary growth phase, both of which increase the ppGpp concentration. The activation was dependent on relA and spoT, which encode enzymes for the synthesis and degradation of ppGpp, and on dksA, which encodes an RNA polymerase accessory protein required for the stringent response. Upon induction of RelA expression, LEE gene transcription was activated within 20 min, even without starvation. The expression of two LEE transcriptional regulators, Ler and Pch, was activated by ppGpp and essential for the enhancement of LEE gene expression. In addition, the ler and pch promoters were directly activated by ppGpp in an in vitro transcription system. These findings suggest that the regulation of virulence genes in EHEC is integrated with E. coli's stringent response system, through the regulation of virulence regulatory genes.

Adhesins, Bacterial↗

PubMed2006

Properties of a trifluoroleucine-resistant mutant of Saccharomyces cerevisiae.

We characterized a trifluoroleucine-resistant mutant of Saccharomyces cerevisiae, TFL20, that has a mutation in the LEU4 gene. We monitored the concentration of extracellular i-AmOH and intracellular amino acids, and compared the ratios of gene expression in TFL20 with the wild-type strain, K30. We found that the LEU1, LEU2, and BAT1 genes were up-regulated in TFL20 for metabolism, and that TFL20 simultaneously produced as much i-AmOH and leucine as K30 does.

2-Isopropylmalate Synthase↗

PubMed2006

Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles.

We propose a computational strategy for discovering gene networks affected by a chemical compound. Two kinds of DNA microarray data are assumed to be used: One dataset is short time-course data that measure responses of genes following an experimental treatment. The other dataset is obtained by several hundred single gene knock-downs. These two datasets provide three kinds of information; (i) A gene network is estimated from time-course data by the dynamic Bayesian network model, (ii) Relationships between the knocked-down genes and their regulatees are estimated directly from knock-down microarrays and (iii) A gene network can be estimated by gene knock-down data alone using the Bayesian network model. We propose a method that combines these three kinds of information to provide an accurate gene network that most strongly relates to the mode-of-action of the chemical compound in cells. This information plays an essential role in pharmacogenomics. We illustrate this method with an actual example where human endothelial cell gene networks were generated from a novel time course of gene expression following treatment with the drug fenofibrate, and from 270 novel gene knock-downs. Finally, we succeeded in inferring the gene network related to PPAR-alpha, which is a known target of fenofibrate.

Bayes Theorem↗

PubMed2005

Genome sequencing and analysis of Aspergillus oryzae.

The genome of Aspergillus oryzae, a fungus important for the production of traditional fermented foods and beverages in Japan, has been sequenced. The ability to secrete large amounts of proteins and the development of a transformation system have facilitated the use of A. oryzae in modern biotechnology. Although both A. oryzae and Aspergillus flavus belong to the section Flavi of the subgenus Circumdati of Aspergillus, A. oryzae, unlike A. flavus, does not produce aflatoxin, and its long history of use in the food industry has proved its safety. Here we show that the 37-megabase (Mb) genome of A. oryzae contains 12,074 genes and is expanded by 7-9 Mb in comparison with the genomes of Aspergillus nidulans and Aspergillus fumigatus. Comparison of the three aspergilli species revealed the presence of syntenic blocks and A. oryzae-specific blocks (lacking synteny with A. nidulans and A. fumigatus) in a mosaic manner throughout the genome of A. oryzae. The blocks of A. oryzae-specific sequence are enriched for genes involved in metabolism, particularly those for the synthesis of secondary metabolites. Specific expansion of genes for secretory hydrolytic enzymes, amino acid metabolism and amino acid/sugar uptake transporters supports the idea that A. oryzae is an ideal microorganism for fermentation.

Aspartic Acid Endopeptidases↗

PubMed2005

Whole genome sequence of Staphylococcus saprophyticus reveals the pathogenesis of uncomplicated urinary tract infection.

Staphylococcus saprophyticus is a uropathogenic Staphylococcus frequently isolated from young female outpatients presenting with uncomplicated urinary tract infections. We sequenced the whole genome of S. saprophyticus type strain ATCC 15305, which harbors a circular chromosome of 2,516,575 bp with 2,446 ORFs and two plasmids. Comparative genomic analyses with the strains of two other species, Staphylococcus aureus and Staphylococcus epidermidis, as well as experimental data, revealed the following characteristics of the S. saprophyticus genome. S. saprophyticus does not possess any virulence factors found in S. aureus, such as coagulase, enterotoxins, exoenzymes, and extracellular matrix-binding proteins, although it does have a remarkable paralog expansion of transport systems related to highly variable ion contents in the urinary environment. A further unique feature is that only a single ORF is predictable as a cell wall-anchored protein, and it shows positive hemagglutination and adherence to human bladder cell associated with initial colonization in the urinary tract. It also shows significantly high urease activity in S. saprophyticus. The uropathogenicity of S. saprophyticus can be attributed to its genome that is needed for its survival in the human urinary tract by means of novel cell wall-anchored adhesin and redundant uro-adaptive transport systems, together with urease.

Animals↗

PubMed2005

Detection and normalization of biases present in spotted cDNA microarray data: a composite method addressing dye, intensity-dependent, spatially-dependent, and print-order biases.

Microarrays are often used to identify target genes that trigger specific diseases, to elucidate the mechanisms of drug effects, and to check SNPs. However, data from microarray experiments are well known to contain biases resulting from the experimental protocols. Therefore, in order to elucidate biological knowledge from the data, systematic biases arising from their protocols must be removed prior to any data analysis. To remove these biases, many normalization methods are used by researchers. However, not all biases are eliminated from the microarray data because not all types of errors from experimental protocols are known. In this paper, we report an effective way of removing various types of biases by treating each microarray dataset independently to detect biases present in the dataset. After the biases contained in each dataset were identified, a combination of normalization methods specifically made for each dataset was applied to remove biases one at a time.

Algorithms↗

PubMed2005

Dual regulatory pathways integrating the RcsC-RcsD-RcsB signalling system control enterohaemorrhagic Escherichia coli pathogenicity.

Bacterial pathogenesis is strictly regulated in response to changes in environmental conditions. A His-Asp phosphorelay system consisting of a sensor kinase and response regulator is used by Gram-positive and Gram-negative bacteria to control gene expression in response to environmental stimuli. We screened His-Asp phosphorelay systems for their effect on virulence expression in enterohaemorrhagic Escherichia coli (EHEC), and found rcsD or rcsB overexpression enhanced locus for enterocyte effacement (LEE) gene transcription and adherence to Caco-2 cells through transcriptional activation of the ler regulatory gene. An EHEC-specific regulator GrvA, encoded by ECs1274, was required for ler transcription activation by RcsB. Furthermore, GrvA activated ler transcription in E. coli K12. Stimulation of the RcsDCB regulatory system by RcsF overexpression slightly increased EspB expression in the wild type but not the ECs1274 mutant. However, EspB expression in an rcsB deletion mutant increased compared with wild type, suggesting that RcsB negatively regulates LEE gene expression and that active RcsB protein is present under normal growth conditions. Deletion of pchA, which encodes a positive regulator for ler, abolished the effect of the rcsB deletion, suggesting that pchA mediated the negative RcsB effect. pchA transcript levels decreased when RcsB expression increased. Thus, LEE gene transcription may be regulated by RcsB through two oppositely regulated O157-specific regulators, PchA and GrvA.

Adaptation, Physiological↗

PubMed2005

Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.

Microarray techniques provide new insights into molecular classification of cancer types, which is critical for cancer treatments and diagnosis. Recently, an increasing number of supervised machine learning methods have been applied to cancer classification problems using gene expression data. Support vector machines (SVMs), in particular, have become one of the most effective and leading methods. However, there exist few studies on the application of other kernel methods in the literature. We apply a kernel subspace (KS) method to multiclass cancer classification problems, and assess its validity by comparing it with multiclass SVMs. Our comparative study using seven multiclass cancer datasets demonstrates that the KS method has high performance that is comparable to multiclass SVMs. Furthermore, we propose an effective criterion for kernel parameter selection, which is shown to be useful for the computation of the KS method.

Artificial Intelligence↗

PubMed2005

Asp578 in LEU4p is one of the key residues for leucine feedback inhibition release in sake yeast.

We identified a new mutation, Asp578Tyr, in alpha-isopropylmalate synthase (a LEU4 gene product) that releases leucine feedback inhibition and causes hyperproduction of isoamyl alcohol (i-AmOH) in sake yeast. Spontaneous sake yeast mutants that express resistance to 5,5,5-trifluoro-DL-leucine (TFL) were isolated, and a mutant strain, TFL20, was characterized at the genetic and biochemical levels. An enzyme assay for alpha-isopropylmalate synthase showed that strain TFL20 was released from feedback inhibition by L-leucine. Furthermore, DNA sequencing of the LEU4 gene for a haploid of the mutant TFL20 revealed that aspartic acid in position 578 changes to tyrosine. A comparison of the three-dimensional structures of wild-type LEU4p and mutant LEU4D578Yp by the homology modeling method showed that Asp578 is important for leucine feedback inhibition. We conclude that the mutation from Asp to Tyr in 578 is a novel change causing release from leucine feedback inhibition.

2-Isopropylmalate Synthase↗

PubMed2005

Identifying drug active pathways from gene networks estimated by gene expression data.

We present a computational method for identifying genes and their regulatory pathways influenced by a drug, using microarray gene expression data collected by single gene disruptions and drug responses. The automatic identification of such genes and pathways in organisms' cells is an important problem for pharmacogenomics and the tailor-made medication. Our method estimates regulatory relationships between genes as a gene network from microarray data of gene disruptions with a Bayesian network model, then identifies the drug affected genes and their regulatory pathways on the estimated network with time course drug response microarray data. Compared to the existing method, our proposed method can identify not only the drug affected genes and the druggable genes, but also the drug responses of the pathways. For evaluating the proposed method, we conducted simulated examples based on artificial networks and expression data. Our method succeeded in identifying the pseudo drug affected genes and pathways with the high coverage greater than 80 %. We also applied our method to Saccharomyces cerevisiae drug response microarray data. In this real example, we identified the genes and the pathways that are potentially influenced by a drug. These computational experiments indicate that our method successfully identifies the drug-activated genes and pathways, and is capable of predicting undesirable side effects of the drug, identifying novel drug target genes, and understanding the unknown mechanisms of the drug.

Bayes Theorem↗

PubMed2004

Genomic analysis of Bacteroides fragilis reveals extensive DNA inversions regulating cell surface adaptation.

Bacteroides are predominant human colonic commensals, but the principal pathogenic species, Bacteroides fragilis (BF), lives closely associated with the mucosal surface, whereas a second major species, Bacteroides thetaiotaomicron (BT), concentrates within the colon. We find corresponding differences in their genomes, based on determination of the genome sequence of BF and comparative analysis with BT. Both species have acquired two mechanisms that contribute to their dominance among the colonic microbiota: an exceptional capability to use a wide range of dietary polysaccharides by gene amplification and the capacity to create variable surface antigenicities by multiple DNA inversion systems. However, the gene amplification for polysaccharide assimilation is more developed in BT, in keeping with its internal localization. In contrast, external antigenic structures can be changed more systematically in BF. Thereby, at the mucosal surface, where microbes encounter continuous attack by host defenses, BF evasion of the immune system is favored, and its colonization and infectious potential are increased.

Bacterial Proteins↗

PubMed2004

Nucleotide substitutions in Staphylococcus aureus strains, Mu50, Mu3, and N315.

A specific phenotype of Staphylococcus aureus strains Mu50 and Mu3 is characterized by thickened cell wall and moderate resistance to vancomycin. The N315 strain is a prototype of methicillin-resistant S. aureus (MRSA), but it is methicillin susceptible, despite carrying the mecA resistance gene. Here, we revised differences in the sequences of Mu50 and N315, referencing that of Mu3 which were assumed to be of one lineage. The 362 ORFs diverse between Mu50 and N315 were picked up, and the corresponding ones in three strains were re-sequenced. This defined 213 ORFs diverse between Mu50 and N315, and 9 between Mu50 and Mu3. The fixed diversities of 174 ORFs (except for 39 silent ORFs from 213), including nucleotide substitution (NSs), frame shift, and truncation were grouped into three major functional categories, which were transport (14.9% in the 174 diverse ORFs), metabolism of carbohydrates (5.7%), and RNA synthesis (9.6%). The other gene categories had small diversities. These gene categories seemed to be functionally decisive for the Mu50-specific characters, the thickened cell wall and moderate vancomycin resistance. All of the diverse genes and the high quality sequence of Mu50 can be viewed at the web site (http://133.5.48.239/VRSA/).

Bacterial Proteins↗

PubMed2004

Bare-faced curassow lysozyme carrying amino acid substitutions at subsites E and F shows a change in activity against chitooligosaccharide caused by a local conformational change.

A new form of avian lysozyme, bare-faced curassow lysozyme (BCL), was purified and chemically sequenced. Of the 26 substitutions relative to chicken lysozyme, three, F34Y, T47S, and R114H, are of substrate-interacting residues in the E and F subsites, which would contribute to the acceptor binding for transglycosylation. T47S is a novel substitution in this lysozyme class. While other lysozymes also have substitutions at positions 114 and 34, they also contain numerous others, including ones in the other substrate binding sites, A-D. Furthermore, T47S lies on the left side, while F34Y and R114H are located on the right side of the E-F subsites. BCL therefore should allow comparison of the independent contributions of these sites to substrate binding and transglycosylation. The activity toward the N-acetylglucosamine pentamer revealed that the substitutions at the E-F sites reduced the binding free energies at the E-F sites and the rate constant for transglycosylation without the conformation change of other substrate binding sites on the protein. MD simulation analysis of BCL suggested that the substituted amino acids changed the local conformation of this lysozyme at the E-F sites.

Acetylglucosamine↗