| 1. |
Hiroyuki Kubota, Shinya Kuroda, Temporal coding of insulin signaling, Protein Modifications in Pathogenic Dysregulation of Signaling, 10.1007/978-4-431-55561-2_7, pp.95-109, 2015.09, During recent years, it has become clearer that temporal patterns of stimuli and molecules are important in the regulation of cellular functions. For example, many hormones show distinct temporal patterns in vivo, which are important for homeostasis. One of the unique characteristics of cellular signaling pathways is that a common signaling pathway can selectively regulate multiple cellular functions depending on their temporal patterns. Therefore, one of the major advances in understanding the "pathogenic dysregulation of signaling" is to reveal the temporal coding mechanisms of signaling pathways related to pathogenesis. A systems biological approach combining experiments and computational analysis is necessary to address this issue. In this chapter, we will introduce the concept that the insulin- dependent AKT pathway uses temporal patterns multiplexing for selective regulation of signaling molecules and metabolites, which depend on their network structures and kinetics, using rat hepatoma Fao cells. These results represent a huge step forward in our understanding of insulin actions and type II diabetes mellitus .. |
| 2. |
Wada T, Wataya M, Fujii M, Hironaka K, Eto M, Uda S, Hoshino D, Kunida K, Inoue H, Kubota H, Hamaguchi H, Furuichi Y, Manabe Y, Fujii N, Kuroda S, Single-cell information analysis reveals small intra- and large intercellular variations increase cellular information capacity, bioRxiv, 2019.05. |
| 3. |
久保田 浩行, トランスオミックス解析の現状, 2020.03. |
| 4. |
久保田浩行 黒田真也, 血中インスリン濃度パターンによる肝臓シグナル分子の選択的制御, 2018.04. |
| 5. |
久保田 浩行, システム生物学 －数理科学を用いる「いろは」とめざすもの－, 2017.06. |
| 6. |
久保田 浩行，黒田 真也, トランスオミクス解析が暴き出す相互作用ネットワークの全体像，, 医学のあゆみ , 2016.12. |
| 7. |
柚木 克之，久保田 浩行，黒田 真也, トランスオミクス研究の新展開－階層統合の最新動向、そして次に来るもの－, 羊土社, 実験医学, 2016.10. |
| 8. |
久保田 浩行, 柚木 克之, 幡野 敦, 黒田 真也, トランスオミクス研究の新展開, 実験医学, 2016.07. |
| 9. |
久保田 浩行, 柚木 克之, 黒田 真也, トランスオミクス解析：マルチオミクスデータから代謝制御ネットワークを再構築する, バイオサイエンスとインダストリー, 2015.05. |
| 10. |
久保田 浩行, 柚木 克之, 黒田 真也, トランスオミクス解析：次なるシグナリング研究を担えるか？, 実験医学増刊号, 2015.05. |
