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Systems-level interactions between insulin–EGF networks amplify mitogenic signaling

Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293...

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Autores principales: Borisov, Nikolay, Aksamitiene, Edita, Kiyatkin, Anatoly, Legewie, Stefan, Berkhout, Jan, Maiwald, Thomas, Kaimachnikov, Nikolai P, Timmer, Jens, Hoek, Jan B, Kholodenko, Boris N
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2683723/
https://www.ncbi.nlm.nih.gov/pubmed/19357636
http://dx.doi.org/10.1038/msb.2009.19
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author Borisov, Nikolay
Aksamitiene, Edita
Kiyatkin, Anatoly
Legewie, Stefan
Berkhout, Jan
Maiwald, Thomas
Kaimachnikov, Nikolai P
Timmer, Jens
Hoek, Jan B
Kholodenko, Boris N
author_facet Borisov, Nikolay
Aksamitiene, Edita
Kiyatkin, Anatoly
Legewie, Stefan
Berkhout, Jan
Maiwald, Thomas
Kaimachnikov, Nikolai P
Timmer, Jens
Hoek, Jan B
Kholodenko, Boris N
author_sort Borisov, Nikolay
collection PubMed
description Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293 cells, insulin is a poor activator of the Ras/ERK (extracellular signal-regulated kinase) cascade, yet it enhances ERK activation by low EGF doses. We find that major crosstalk mechanisms that amplify ERK signaling are localized upstream of Ras and at the Ras/Raf level. Computational modeling unveils how critical network nodes, the adaptor proteins GAB1 and insulin receptor substrate (IRS), Src kinase, and phosphatase SHP2, convert insulin-induced increase in the phosphatidylinositol-3,4,5-triphosphate (PIP(3)) concentration into enhanced Ras/ERK activity. The model predicts and experiments confirm that insulin-induced amplification of mitogenic signaling is abolished by disrupting PIP(3)-mediated positive feedback via GAB1 and IRS. We demonstrate that GAB1 behaves as a non-linear amplifier of mitogenic responses and insulin endows EGF signaling with robustness to GAB1 suppression. Our results show the feasibility of using computational models to identify key target combinations and predict complex cellular responses to a mixture of external cues.
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spelling pubmed-26837232009-05-18 Systems-level interactions between insulin–EGF networks amplify mitogenic signaling Borisov, Nikolay Aksamitiene, Edita Kiyatkin, Anatoly Legewie, Stefan Berkhout, Jan Maiwald, Thomas Kaimachnikov, Nikolai P Timmer, Jens Hoek, Jan B Kholodenko, Boris N Mol Syst Biol Article Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293 cells, insulin is a poor activator of the Ras/ERK (extracellular signal-regulated kinase) cascade, yet it enhances ERK activation by low EGF doses. We find that major crosstalk mechanisms that amplify ERK signaling are localized upstream of Ras and at the Ras/Raf level. Computational modeling unveils how critical network nodes, the adaptor proteins GAB1 and insulin receptor substrate (IRS), Src kinase, and phosphatase SHP2, convert insulin-induced increase in the phosphatidylinositol-3,4,5-triphosphate (PIP(3)) concentration into enhanced Ras/ERK activity. The model predicts and experiments confirm that insulin-induced amplification of mitogenic signaling is abolished by disrupting PIP(3)-mediated positive feedback via GAB1 and IRS. We demonstrate that GAB1 behaves as a non-linear amplifier of mitogenic responses and insulin endows EGF signaling with robustness to GAB1 suppression. Our results show the feasibility of using computational models to identify key target combinations and predict complex cellular responses to a mixture of external cues. Nature Publishing Group 2009-04-07 /pmc/articles/PMC2683723/ /pubmed/19357636 http://dx.doi.org/10.1038/msb.2009.19 Text en Copyright © 2009, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. This licence does not permit commercial exploitation or the creation of derivative works without specific permission.
spellingShingle Article
Borisov, Nikolay
Aksamitiene, Edita
Kiyatkin, Anatoly
Legewie, Stefan
Berkhout, Jan
Maiwald, Thomas
Kaimachnikov, Nikolai P
Timmer, Jens
Hoek, Jan B
Kholodenko, Boris N
Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title_full Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title_fullStr Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title_full_unstemmed Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title_short Systems-level interactions between insulin–EGF networks amplify mitogenic signaling
title_sort systems-level interactions between insulin–egf networks amplify mitogenic signaling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2683723/
https://www.ncbi.nlm.nih.gov/pubmed/19357636
http://dx.doi.org/10.1038/msb.2009.19
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