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Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells

Adaptation and survival of cancer cells to various stress and growth factor conditions is crucial for successful metastasis. A double-negative feedback loop between two serine/threonine kinases AMPK (AMP-activated protein kinase) and Akt can regulate the adaptation of breast cancer cells to matrix-d...

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Autores principales: Chedere, Adithya, Hari, Kishore, Kumar, Saurav, Rangarajan, Annapoorni, Jolly, Mohit Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865639/
https://www.ncbi.nlm.nih.gov/pubmed/33530625
http://dx.doi.org/10.3390/jcm10030472
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author Chedere, Adithya
Hari, Kishore
Kumar, Saurav
Rangarajan, Annapoorni
Jolly, Mohit Kumar
author_facet Chedere, Adithya
Hari, Kishore
Kumar, Saurav
Rangarajan, Annapoorni
Jolly, Mohit Kumar
author_sort Chedere, Adithya
collection PubMed
description Adaptation and survival of cancer cells to various stress and growth factor conditions is crucial for successful metastasis. A double-negative feedback loop between two serine/threonine kinases AMPK (AMP-activated protein kinase) and Akt can regulate the adaptation of breast cancer cells to matrix-deprivation stress. This feedback loop can significantly generate two phenotypes or cell states: matrix detachment-triggered pAMPK(high)/ pAkt(low) state, and matrix (re)attachment-triggered pAkt(high)/ pAMPK(low) state. However, whether these two cell states can exhibit phenotypic plasticity and heterogeneity in a given cell population, i.e., whether they can co-exist and undergo spontaneous switching to generate the other subpopulation, remains unclear. Here, we develop a mechanism-based mathematical model that captures the set of experimentally reported interactions among AMPK and Akt. Our simulations suggest that the AMPK-Akt feedback loop can give rise to two co-existing phenotypes (pAkt(high)/ pAMPK(low) and pAMPK(high)/pAkt(low)) in specific parameter regimes. Next, to test the model predictions, we segregated these two subpopulations in MDA-MB-231 cells and observed that each of them was capable of switching to another in adherent conditions. Finally, the predicted trends are supported by clinical data analysis of The Cancer Genome Atlas (TCGA) breast cancer and pan-cancer cohorts that revealed negatively correlated pAMPK and pAkt protein levels. Overall, our integrated computational-experimental approach unravels that AMPK-Akt feedback loop can generate multi-stability and drive phenotypic switching and heterogeneity in a cancer cell population.
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spelling pubmed-78656392021-02-07 Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells Chedere, Adithya Hari, Kishore Kumar, Saurav Rangarajan, Annapoorni Jolly, Mohit Kumar J Clin Med Article Adaptation and survival of cancer cells to various stress and growth factor conditions is crucial for successful metastasis. A double-negative feedback loop between two serine/threonine kinases AMPK (AMP-activated protein kinase) and Akt can regulate the adaptation of breast cancer cells to matrix-deprivation stress. This feedback loop can significantly generate two phenotypes or cell states: matrix detachment-triggered pAMPK(high)/ pAkt(low) state, and matrix (re)attachment-triggered pAkt(high)/ pAMPK(low) state. However, whether these two cell states can exhibit phenotypic plasticity and heterogeneity in a given cell population, i.e., whether they can co-exist and undergo spontaneous switching to generate the other subpopulation, remains unclear. Here, we develop a mechanism-based mathematical model that captures the set of experimentally reported interactions among AMPK and Akt. Our simulations suggest that the AMPK-Akt feedback loop can give rise to two co-existing phenotypes (pAkt(high)/ pAMPK(low) and pAMPK(high)/pAkt(low)) in specific parameter regimes. Next, to test the model predictions, we segregated these two subpopulations in MDA-MB-231 cells and observed that each of them was capable of switching to another in adherent conditions. Finally, the predicted trends are supported by clinical data analysis of The Cancer Genome Atlas (TCGA) breast cancer and pan-cancer cohorts that revealed negatively correlated pAMPK and pAkt protein levels. Overall, our integrated computational-experimental approach unravels that AMPK-Akt feedback loop can generate multi-stability and drive phenotypic switching and heterogeneity in a cancer cell population. MDPI 2021-01-26 /pmc/articles/PMC7865639/ /pubmed/33530625 http://dx.doi.org/10.3390/jcm10030472 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chedere, Adithya
Hari, Kishore
Kumar, Saurav
Rangarajan, Annapoorni
Jolly, Mohit Kumar
Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title_full Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title_fullStr Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title_full_unstemmed Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title_short Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells
title_sort multi-stability and consequent phenotypic plasticity in ampk-akt double negative feedback loop in cancer cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865639/
https://www.ncbi.nlm.nih.gov/pubmed/33530625
http://dx.doi.org/10.3390/jcm10030472
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