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...

Full description

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Elsevier 2018-09-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S258900421830110X
id doaj-298b57f6bf194eb08a0765046fd90937
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
work_keys_str_mv AT kentarokawata transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT atsushihatano transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT katsuyukiyugi transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT hiroyukikubota transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT takanorisano transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT masashifujii transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT yokotomizawa transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT toshiyakokaji transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT kaoriytanaka transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT shinsukeuda transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT yutakasuzuki transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT masakimatsumoto transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT keiichiinakayama transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT kaorisaitoh transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT keikokato transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT ayanoueno transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT makiohishi transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT akiyoshihirayama transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT tomoyoshisoga transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
AT shinyakuroda transomicanalysisrevealsselectiveresponsestoinducedandbasalinsulinacrosssignalingtranscriptionalandmetabolicnetworks
_version_ 1724766660938694656
spelling 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