Seibutsu Butsuri
Online ISSN : 1347-4219
Print ISSN : 0582-4052
ISSN-L : 0582-4052
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Volume 42, Issue 3
Issue 241
Displaying 1-10 of 10 articles from this issue
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Review
  • Computational Analysis of Genome Information Using Membrane Prediction System SOSUI
    Shigeki MITAKU
    Article type: scientific monograph
    Subject area: Infomation Science
    2002 Volume 42 Issue 3 Pages 104-109
    Published: 2002
    Released on J-STAGE: May 28, 2002
    DOIhttps://doi.org/10.2142/biophys.42.104
    JOURNAL FREE ACCESS
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    Many orphan sequences are being produced by human genome project. As the first step to the prediction of their structure and function, a software system SOSUI for discriminating membrane proteins from amino acid sequences alone was developed which is available on an internet web page. The analyses of amino acid sequence from total genomes by SOSUI system showed various interesting results, including the constant ratio (about 25%) of membrane proteins in total ORFs from bacteria to eukaryota. The physical background of the algorithm of SOSUI is discussed together with the results of the genome scale calculation.
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  • Inference of a Genetic Network with Use of a Hierarchical Clustering from a Large Amount of Gene Expression Data
    Katsuhisa HORIMOTO, Hiroyuki TOH
    Article type: scientific monograph
    Subject area: Infomation Science
    2002 Volume 42 Issue 3 Pages 110-115
    Published: 2002
    Released on J-STAGE: May 28, 2002
    DOIhttps://doi.org/10.2142/biophys.42.110
    JOURNAL FREE ACCESS
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    Advances in microarray techniques have enabled us to simultaneously monitor the expression levels of thousands or tens of thousands of genes under multiple conditions. Here, we present a novel method to analyze a large amount of gene expression profiles by the combination of the standard statistical techniques. The method is composed of two parts : the automatic determination of cluster boundaries in a hierarchical clustering and the following inference of a network by application of graphical Gaussian modeling. The feasibility of our method is discussed in terms of the biological knowledge of gene regulatory systems and the other analytical approaches.
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  • Organelle Inheritance-Cell Cycle Dependent Dynamics of Organelles in Mammalian Cells
    Arowu TANAKA, Fumi KANO, Masayuki MURATA
    Article type: scientific monograph
    Subject area: Infomation Science
    2002 Volume 42 Issue 3 Pages 116-121
    Published: 2002
    Released on J-STAGE: May 28, 2002
    DOIhttps://doi.org/10.2142/biophys.42.116
    JOURNAL FREE ACCESS
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    At the onset of mitosis, each organelle in a mammalian cell must be inherited accurately by two daughter cells. Recent advances in GFP visualization techniques and in genetic approaches have made it possible to understand the dynamic behavior of organelle during their inheritance and to identify the intracellular machinery required for accurate inheritance. Extensive studies have revealed that the inheritance strategies used by each organelle are not stochastic and passive but are rather controlled by the molecules, which are needed for membrane fusion/vesiculation in intracellular membrane traffics and for organelle architecture. Here we review current knowledge of organelle inheritance briefly and describe our recent findings, which have been obtained using our novel "semi-intact cell systems", with regard to the inheritance mechanisms of Golgi apparatus and endoplasmic reticulum in mammalian cells.
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Experimental techniques
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