Kawata Kentaro, Hatano Atsushi, Yugi Katsuyuki, Kubota Hiroyuki, Sano Takanori, Fujii Masashi, Tomizawa Yoko, Kokaji Toshiya, Tanaka Kaori Y, Uda Shinsuke, Suzuki Yutaka, Matsumoto Masaki, Nakayama Keiichi I, Saitoh Kaori, Kato Keiko, Ueno Ayano, Ohishi Maki, Hirayama Akiyoshi, Soga Tomoyoshi, Kuroda Shinya
Department of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Department of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; YCI Laboratory for Trans-Omics, Young Chief Investigator Program, RIKEN Center for Integrative Medical Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan; Institute for Advanced Biosciences, Keio University, Fujisawa 252-8520, Japan; PRESTO, Japan Science and Technology Agency, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
iScience. 2018 Sep 28;7:212-229. doi: 10.1016/j.isci.2018.07.022. Epub 2018 Sep 10.
The concentrations of insulin selectively regulate multiple cellular functions. To understand how insulin concentrations are interpreted by cells, we constructed a trans-omic network of insulin action in FAO hepatoma cells using transcriptomic data, western blotting analysis of signaling proteins, and metabolomic data. By integrating sensitivity into the trans-omic network, we identified the selective trans-omic networks stimulated by high and low doses of insulin, denoted as induced and basal insulin signals, respectively. The induced insulin signal was selectively transmitted through the pathway involving Erk to an increase in the expression of immediate-early and upregulated genes, whereas the basal insulin signal was selectively transmitted through a pathway involving Akt and an increase of Foxo phosphorylation and a reduction of downregulated gene expression. We validated the selective trans-omic network in vivo by analysis of the insulin-clamped rat liver. This integrated analysis enabled molecular insight into how liver cells interpret physiological insulin signals to regulate cellular functions.
胰岛素浓度可选择性地调节多种细胞功能。为了解细胞如何解读胰岛素浓度,我们利用转录组数据、信号蛋白的蛋白质印迹分析以及代谢组数据,构建了FAO肝癌细胞中胰岛素作用的跨组学网络。通过将敏感性整合到跨组学网络中,我们识别出分别由高剂量和低剂量胰岛素刺激的选择性跨组学网络,分别称为诱导性胰岛素信号和基础胰岛素信号。诱导性胰岛素信号通过涉及Erk的途径选择性地传递,导致立即早期基因和上调基因的表达增加,而基础胰岛素信号则通过涉及Akt的途径选择性地传递,导致Foxo磷酸化增加以及下调基因表达减少。我们通过对胰岛素钳夹大鼠肝脏的分析在体内验证了选择性跨组学网络。这种综合分析使我们能够从分子层面深入了解肝细胞如何解读生理胰岛素信号以调节细胞功能。