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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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. |
format | Online Article Text |
id | pubmed-6161632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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