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東京理科大学 量子生命情報研究センター 国際シンポジウム "Bio-Informatics"
2007年3月17日(土) 9:30-18:00
東京理科大学 野田キャンパス カナル会館 3階 大会議室

オーガナイザー: 大矢雅則(東京理科大・理工・情報科学)、山登一郎(東京理科大・基

Morning Session I - Chair: S. Miyazaki
9:30 ~ 10:10 A. Jamiolkowski (N. Copernicus University&s_comma; Poland)
Cauchy Problems for Some Biological Systems - Modeling by Stochastic
Differential Equations 10:10 ~ 10:50 Y. Tateno (National Institute of
Genetics&s_comma; Japan)
Genomic Analysis of MHC Genes in Primates 10:50 ~ 11:10 Coffee

Morning Session II(a) - Chair: I. Yamato 11:10 ~ 11:50 K. Sato and M. Ohya
(TUS&s_comma; Japan)
Mathematical Approach to Bio-Information Morning Session II(b) -
Chair: K. Kuchitsu 11:50 ~ 12:30 S. Miyazaki (TUS&s_comma; Japan)
Informational Approach for the Study of Cis-Regulatory Elements and
the DNA Binding Protein 12:30 ~ 14:00 Lunch Break

Afternoon Session I - Chair: K. Kuchitsu 14:00 ~ 14:40 D. Wanke
(University of Tubingen&s_comma; Germany)
Where People Meet: Nodes for Interaction between Biologists and
Computer Scientists in the Analysis of Microarray Expression Data and
Cis-Regulatory Elements
Cellular signaling events affect the regulation of transcription factor (TF)
activation. TFs in turn regulate the expression of specific downstream
target genes by specific binding to their cognate DNA-motif. The effect on
gene expression mediated by the TF-binding to cis-regulatory elements (CREs)
in regulatory non-coding DNA sequences can result in an increase or decrease
of the target gene?s transcript abundance. Microarrays provide an insight
into this dynamic information on the responses induced by this underlying
regulatory network. To date&s_comma; most experiments are conducted by biologists
and the bulk analysis of the data produced is performed by information
scientists. We found that the integration of computer scientists and
biologists during all phases of the experiments has been extremely
profitable. Especially for large or multidimensional datasets&s_comma; the
experience of information scientists becomes indispensable. An iterative
search for regulatory gene modules or TF regulatory networks and their
functional analysis in the laboratory constitutes only one of the meeting
points for both of these scientists. I will present examples of our present
work&s_comma; where the interaction of computer scientists and biologists has been
beneficial for our understanding in the regulation of gene expression via
CREs in plants.

14:40 ~ 15:20 T. Ohta (Tokyo Institute of Technology&s_comma; Japan)
Application of Large-Scale mRNA Expression Data Sets for
Comprehensive Analysis of Plant Hormone Signaling 15:20 ~ 15:50 Coffee

Afternoon Session II(a) - Chair: I. Yamato 15:50 ~ 16:30 T. W. Im (Kansas
University&s_comma; U.S.A.)
Mechanism and Energetics of Helix-Helix Interactions in Membranes
16:30 ~ 17:10 T. Takada (NEC&s_comma; Japan)
What Quantum Chemists Learn from Bio Material Simulations?
Afternoon Session II(b) - Chairman : S. Miyazaki 17:20 ~ 18:00 I. Yamato
(TUS&s_comma; Japan)
Toward in Silico Biology

2007年3月14日(水) 16:00-17:30
東京理科大学 野田キャンパス 講義棟 2階 K208教室
講演者: Dr. Dierk Wanke (University of Tubingen&s_comma; Germany) The Promoter Code:
What we learned about gene regulation by drawing pictures
The discovery of cis-regulatory elements (CREs) still remains a challenging
task. Phylogenetic footprinting approaches and phylogenetic shadowing has
been successfully used to identify regulatory sequences in promoters of
orthologous genes. Still&s_comma; surprisingly little is known about the nature of
CRE distribution in promoters. With the help of promoter motif distribution
curves&s_comma; positional information has been added to DNA motifs. A cross-species
approach&s_comma; exploiting the genome sequences of the model species Arabidopsis
thaliana&s_comma; Caenorhabditis elegans&s_comma; Drosophila melanogaster and Saccharomyces
cerevisiae&s_comma; shows the importance of the position and orientation for motif
discovery. Analysis with known CREs and random hexanucleotides revealed that
some common basic eukaryotic core-promoter structure has been conserved
throughout evolutionary time. I will present examples of our past and
present work&s_comma; where the integration of positional information of motifs has
been useful for the examination of gene expression in plants.

2007年3月16日(水) 16300-18:00
東京理科大学 野田キャンパス 講義棟 2階 K208教室
講演者: 太田 啓之 先生(東京工業大・生命理工・生体システム)

(東武野田線 運河駅下車 徒歩5分; 運河駅は、つくばエクスプレス・流山おおたかの

朽津 和幸 (Dr. Kazuyuki KUCHITSU)
東京理科大学 大学院 理工学研究科 応用生物科学専攻
〒278-8510 千葉県野田市山崎2641
FAX: 04-7123-9767
e-mail: kuchitsu@rs.noda.tus.ac.jp