Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks
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 pr...
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Format: | Article |
Language: | English |
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Elsevier
2018-09-01
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Series: | iScience |
Online Access: | http://www.sciencedirect.com/science/article/pii/S258900421830110X |
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doaj-298b57f6bf194eb08a0765046fd90937 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks iScience |
author_facet |
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 |
author_sort |
Kentaro Kawata |
title |
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_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_sort |
trans-omic analysis reveals selective responses to induced and basal insulin across signaling, transcriptional, and metabolic networks |
publisher |
Elsevier |
series |
iScience |
issn |
2589-0042 |
publishDate |
2018-09-01 |
description |
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 |
url |
http://www.sciencedirect.com/science/article/pii/S258900421830110X |
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doaj-298b57f6bf194eb08a0765046fd909372020-11-25T02:44:16ZengElsevieriScience2589-00422018-09-017212229Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic NetworksKentaro Kawata0Atsushi Hatano1Katsuyuki Yugi2Hiroyuki Kubota3Takanori Sano4Masashi Fujii5Yoko Tomizawa6Toshiya Kokaji7Kaori Y. Tanaka8Shinsuke Uda9Yutaka Suzuki10Masaki Matsumoto11Keiichi I. Nakayama12Kaori Saitoh13Keiko Kato14Ayano Ueno15Maki Ohishi16Akiyoshi Hirayama17Tomoyoshi Soga18Shinya Kuroda19Department of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JapanDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JapanDepartment 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, JapanDivision of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JapanDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, JapanDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; Molecular Genetics Research Laboratory, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JapanDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JapanDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, JapanDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, JapanDivision of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JapanDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, JapanDepartment of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JapanDepartment of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052, JapanDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Bunkyo-ku, Tokyo 113-0033, Japan; Corresponding authorSummary: 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, Transcriptomicshttp://www.sciencedirect.com/science/article/pii/S258900421830110X |