TY - JOUR
T1 - Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
AU - Kawata, Kentaro
AU - Hatano, Atsushi
AU - Yugi, Katsuyuki
AU - Kubota, Hiroyuki
AU - Sano, Takanori
AU - Fujii, Masashi
AU - Tomizawa, Yoko
AU - Kokaji, Toshiya
AU - Tanaka, Kaori Y.
AU - Uda, Shinsuke
AU - Suzuki, Yutaka
AU - Matsumoto, Masaki
AU - Nakayama, Keiichi I.
AU - Saitoh, Kaori
AU - Kato, Keiko
AU - Ueno, Ayano
AU - Ohishi, Maki
AU - Hirayama, Akiyoshi
AU - Soga, Tomoyoshi
AU - Kuroda, Shinya
N1 - Funding Information:
We thank our laboratory members for critically reading this manuscript and for their technical assistance with the experiments. The computational analysis of this work was performed in part with support of the super computer system of National Institute of Genetics (NIG), Research Organization of Information and Systems (ROIS). This manuscript was edited by Nancy R. Gough (BioSerendipity, LLC). This work was supported by the Creation of Fundamental Technologies for Understanding and Control of Biosystem Dynamics, CREST (JPMJCR12W3)from the Japan Science and Technology Agency (JST)and by the Japan Society for the Promotion of Science (JSPS)KAKENHI Grant Number (17H06300, 17H06299, 18H03979). K.Y. receives funding from JSPS KAKENHI Grant Number JP15H05582 and JP18H05431, and “Creation of Innovative Technology for Medical Applications Based on the Global Analyses and Regulation of Disease-Related Metabolites”, PRESTO (JPMJPR1538)from JST. H.K. was supported by JSPS KAKENHI Grant Number 16H06577. M.F. receives funding from a Grant-in-Aid for Challenging Exploratory Research (16K12508). S.U. receives funding from a Grant-in-Aid for Scientific Research on Innovative Areas (18H04801). K.I.N. and Y.S. were supported by the JSPS KAKENHI Grant Number (17H06301)and (17H06306), respectively. T.S. receives funding from the AMED-CREST (JP18gm0710003)from the Japan Agency for Medical Research and Development, AMED. K. Kawata, K.Y. A. Hatano, and S.K. conceived the project. K. Kawata, K.Y. A. Hatano, T.K. Y.T. T.S. K.Y.T. M.F. and S.U. analyzed the data. A. Hatano, H.K. and S.K. designed the experiments. A. Hatano performed the western blotting experiments. H.K. performed insulin-clamped rat experiment. M.M. and K.I.N. performed the phosphoproteome measurements. Y.S. performed the RNA-seq experiments. K.S. K. Kato, A.U. M.O. A. Hirayama, and T.S. performed the metabolome measurements. A. Hatano, K. Kawata, K.Y. and S.K. wrote the manuscript. The authors declare no competing interests.
Funding Information:
We thank our laboratory members for critically reading this manuscript and for their technical assistance with the experiments. The computational analysis of this work was performed in part with support of the super computer system of National Institute of Genetics (NIG), Research Organization of Information and Systems (ROIS). This manuscript was edited by Nancy R. Gough (BioSerendipity, LLC). This work was supported by the Creation of Fundamental Technologies for Understanding and Control of Biosystem Dynamics, CREST ( JPMJCR12W3 ) from the Japan Science and Technology Agency (JST) and by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number ( 17H06300 , 17H06299 , 18H03979 ). K.Y. receives funding from JSPS KAKENHI Grant Number JP15H05582 and JP18H05431 , and “Creation of Innovative Technology for Medical Applications Based on the Global Analyses and Regulation of Disease-Related Metabolites”, PRESTO ( JPMJPR1538 ) from JST. H.K. was supported by JSPS KAKENHI Grant Number 16H06577 . M.F. receives funding from a Grant-in-Aid for Challenging Exploratory Research ( 16K12508 ). S.U. receives funding from a Grant-in-Aid for Scientific Research on Innovative Areas ( 18H04801 ). K.I.N. and Y.S. were supported by the JSPS KAKENHI Grant Number ( 17H06301 ) and ( 17H06306 ), respectively. T.S. receives funding from the AMED -CREST ( JP18gm0710003 ) from the Japan Agency for Medical Research and Development, AMED.
Publisher Copyright:
© 2018 The Author(s)
PY - 2018/9/28
Y1 - 2018/9/28
N2 - 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.
AB - 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.
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U2 - 10.1016/j.isci.2018.07.022
DO - 10.1016/j.isci.2018.07.022
M3 - Article
AN - SCOPUS:85057391703
SN - 2589-0042
VL - 7
SP - 212
EP - 229
JO - iScience
JF - iScience
ER -