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

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, a...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161632/
https://www.ncbi.nlm.nih.gov/pubmed/30267682
http://dx.doi.org/10.1016/j.isci.2018.07.022
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author 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
author_facet 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
author_sort Kawata, Kentaro
collection PubMed
description 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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spelling pubmed-61616322018-10-01 Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks 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 iScience Article 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. Elsevier 2018-09-10 /pmc/articles/PMC6161632/ /pubmed/30267682 http://dx.doi.org/10.1016/j.isci.2018.07.022 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title_full Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title_fullStr Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title_full_unstemmed Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title_short Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
title_sort trans-omic analysis reveals selective responses to induced and basal insulin across signaling, transcriptional, and metabolic networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161632/
https://www.ncbi.nlm.nih.gov/pubmed/30267682
http://dx.doi.org/10.1016/j.isci.2018.07.022
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