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Hiroyuki Kubota Last modified date：2022.07.05

Professor / Medical Institute of Bioregulation


Graduate School
Department of Systems Life Sciences
Graduate School of Systems Life Sciences
Department of Systems Life Sciences
Graduate School of Systems Life Sciences


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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/hiroyuki-kubota
　Reseacher Profiling Tool　Kyushu University Pure
http://www.bioreg.kyushu-u.ac.jp/labo/omics/
Phone
092-642-6433
Fax
092-642-6433
Academic Degree
Science
Field of Specialization
systems biology
Research
Research Interests
  • Trans-omics analysis of vital phenomenon
    keyword : trans-omics analysis, systems biology
    2014.04～2024.06.
Current and Past Project
  • We will reconstruct the trans-omics network of insulin action in vivo, and reveal the characteristics of the network using mathematical model.
  • We will show the existence of “Temporal Coding” in our body by focusing on the insulin actions using experiments and simulations
Academic Activities
Books
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Reports
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Papers
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1. Kubota H., Obata T., Ota K., Sasaki T., and Ito T., Rapamycin-induced translational derepression of GCN4 mRNA involves a novel mechanism for activation of the eIF2α kinase GCN2., J. Biol. Chem., 2003.06.
2. Kubota H., Ota K., Sakaki Y., and Ito T., Budding yeast GCN1 binds the GI domain to activate the eIF2α kinase GCN2., J. Biol. Chem., 2001.05.
3. Kubota H., Sakaki Y., and Ito T., GI domain-mediated association of the eukaryotic initiation factor 2α kinase GCN2 with its activator GCN1 is required for general amino acid control in budding yeast., J. Biol. Chem., 2000.07.
Presentations
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1. Kubota H., Uda S., Matsuzaki F., Kuroda S, Trans-Omic analysis of the acute insulin action in the liver =Toward in vivo trans-omic analysis, The 1st International Symposium for Trans-Omics , 2017.11.
2. 久保田 浩行, 宇田 新介, 松﨑 芙美子, 黒田　真也, Toward in vivo Trans-omic analysis, 日本プロテオーム学会, 2016.07, Cell system consists of a huge number of molecules across multiple “omic layers”, such as genome, transcriptome, proteome and metabolome layers. Therefore, in understanding the entire picture of the cell system, we need to integrate the multiple omic layers and reveal networks of the molecules across them. Recent advances in measurements of each omic layers enable us to extract information from multiple omic layers, so called “multiple omics analysis”. We now propose “trans-omic analysis” for reconstructing global comprehensive networks from multiple omics data [1]. Based on this concept, we reconstructed trans-omic networks from phospho-proteome and metabolome data using cultured cell line stimulated by insulin [2]. We are now developing a new method to integrate multiple omic layers including transcriptome and expression proteome in addition to phospho-proteome and metabolome data using mice administered with insulin. For “in vivo trans-omic analysis”, there are some problems to be solved. In this presentation, I want to talk and discuss about the problems and their solutions toward in vivo trans-omics analysis..
3. 久保田 浩行, 柚木　克之, 黒田　真也, Reconstruction of insulin signal flow from phospho-proteome and metabolome data, International Symposium on Synthetic Systems Biology, 2015.09.


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