Biomedical subjects

Nobuyoshi Sugaya

Publications and source records attributed to Nobuyoshi Sugaya.

5 recordsLinked to original sources

PubMed2004

ASIAN: a website for network inference.

UNLABELLED: We constructed a website for inferring a network by applying the graphical Gaussian model, from a large amount of data, including redundant information. The available tools on the website are based on a system, named ASIAN (Automatic System for Inferring A Network), in combination with the two methods in our previous papers, which were designed to analyze gene expression profiles on a genomic scale. One of the remarkable features of the website is its ability to infer a network, concomitant with hierarchical clustering and the following estimation of cluster boundaries. AVAILABILITY: http://eureka.ims.u-tokyo.ac.jp/asian

Computer Simulation↗

PubMed2004

Detection of inter-spread repeat sequence in genomic DNA sequence.

Various types of periodic patterns in nucleotide sequences are known to be very abundant in a genomic DNA sequence, and to play important biological roles such as gene expression, genome structural stabilization, and recombination. We present a new method, named "STEPSTONE", to find a specific periodic pattern of repeat sequence, inter-spread repeat, in which the tandem repeats of the conserved and the not-conserved regions appear periodically. In our method, at first, the data on periods of short repeat sequences found in a target sequence are stored as a hash data, and then are selected by application of an auto-correlation test in time series analysis. Among the statistically selected sequences, the inter-spread repeats are obtained by usual alignment procedures through two steps. To test the performance of our method, we examined the inter-spread repeats in Mycobacterium tuberculosis and Zamia paucijuga genomic sequences. As a result, our method exactly detected the repeats in the two sequences, being useful for identifying systematically the inter-spread repeats in DNA sequence.

Algorithms↗

PubMed2004

Causes for the large genome size in a cyanobacterium Anabaena sp. PCC7120.

Three possible causes responsible for the large genome size of a cyanobacterium Anabaena sp. PCC7120 are investigated: 1) sequential tandem duplications of gene segments, genes or genomic segments, 2) horizontal gene transfers from other organisms, and 3) whole-genome duplication. We evaluated the frequency distribution of angles between paralog locations for the possibility 1), the fraction of genes deviated in GC content, GC skew, AT skew and codon adaptation index for the 2) and the gene-configuration comparison of paralogs for the 3). As a result, the possibility 3), the whole-genome duplication, was more reasonable as a molecular cause than the other causes for the large genome size in Anabaena sp. PCC7120. In addition, the whole-genome duplication was supported by the analysis of distribution pattern of protein genes with respect to functional categories.

Anabaena↗

PubMed2003

Advanced formulation of base pair changes in the stem regions of ribosomal RNAs; its application to mitochondrial rRNAs for resolving the phylogeny of animals.

The ribosomal RNAs (rRNAs) of animal mitochondria, especially those of arthropod mitochondria, have a higher content of G:U and U:G base pairs in their stem regions than the nuclear rRNAs. Thus, the theoretical formulation of base pair changes is extended to incorporate the faster base pair changes A:U<-->G:U<-->G:C and U:A<-->U:G<-->C:G into the previous formulation of the slower base pair changes between A:U, G:C, C:G and U:A. The relative base pair change probability containing the faster and slower base pair changes is theoretically derived to estimate the divergence time of rRNAs under the influence of selection for these base pairs. Using the cartilaginous fish-teleost fish divergence and the crustacean-insect divergence as calibration points, the present method successfully predicts the divergence times of the main branches of animals: Deuterostomia and Protostomia diverged 9.2 x 10(8) years ago, the divergence of Echinodermata, Hemichordata and Cephalochordata succeedingly occurred during the period from 8 x 10(8) to 6 x 10(8) years ago, while Arthropoda, Annelida and Mollusca diverged almost concomitantly about 7 x 10(8) years ago. The dating for the divergence of Platyhelminthes and Cnidaria is traced back to 1.2 x 10(9) years ago. This result is consistent with the fossil records in the Stirling Range Formation of southwestern Australia, the Ediacara and Avalon faunas and the Cambrian Burgess Shale. Thus, the present method may be useful for estimating the divergence times of animals ranging from 10(8) to 10(9) years ago, resolving the difficult problems, e.g. deviation from rate constancy and large sampling variances, in the usual methods of treating apparent change rates between individual bases and/or base pairs.

Animals↗

PubMed2002

The lineage-specific base-pair contents in the stem regions of ribosomal RNAs and their influence on the estimation of evolutionary distances.

The base-pair changes in the stem regions of ribosomal RNAs provide a useful measure for resolving the phylogeny of organisms. In the present study, how the biased base-pair content influences the estimation of evolutionary distances is theoretically investigated. By regarding the biased base-pair content as a result of the difference in selective strength between A:U and G:C base pairs, the evolutionary distance empirically obtained by enumerating base-pair changes is theoretically expressed in terms of selective strength, base-pair change rate, and divergence time. Its application to nuclear-coded large subunit ribosomal RNAs (LSU rRNAs) reveals the followings. LSU rRNAs from most organisms have moderate base-pair contents and the empirical evolutionary distances obtained by the comparison of these LSU rRNAs are approximately proportional to their divergence times. In the comparison of these moderate LSU rRNAs with the GC-rich LSU rRNAs such as those from Mycoplasma, Crenarchaeota, and Giardia, however, the empirically calculated distances are considerably smaller than the true evolutionary distances, while the comparison with AU-rich LSU rRNAs from Microsporidia overestimates their distances. With this result in mind, the relative base-pair change probabilities among three kingdoms are carefully estimated from the statistical distribution of base-pair change ratios enumerated for LSU rRNAs showing almost the same base-pair contents, leading to the result that prokaryotes and eukaryotes first diverged and that archaebacteria and eubacteria diverged on the line of prokaryotes slightly later, by about 0.3 billion years.

Animals↗