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Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks

Authors :
Kentaro Kawata
Atsushi Hatano
Katsuyuki Yugi
Hiroyuki Kubota
Takanori Sano
Masashi Fujii
Yoko Tomizawa
Toshiya Kokaji
Kaori Y. Tanaka
Shinsuke Uda
Yutaka Suzuki
Masaki Matsumoto
Keiichi I. Nakayama
Kaori Saitoh
Keiko Kato
Ayano Ueno
Maki Ohishi
Akiyoshi Hirayama
Tomoyoshi Soga
Shinya Kuroda
Source :
iScience, Vol 7, Iss , Pp 212-229 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Summary: 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. : Systems Biology; Omics; Metabolomics; Transcriptomics Subject Areas: Systems Biology, Omics, Metabolomics, Transcriptomics

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
25890042
Volume :
7
Issue :
212-229
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.298b57f6bf194eb08a0765046fd90937
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2018.07.022