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Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference

Adenosine‐3′, 5′‐cyclic monophosphate (cAMP) produced by adenylate cyclases (ADCYs) is an established key regulator of cell homoeostasis. However, its role in cell cycle control is still controversially discussed. This study focussed on the impact of soluble HCO(3) (−) ‐activated ADCY10 on cell cycl...

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Autores principales: Woranush, Warunya, Moskopp, Mats Leif, Noll, Thomas, Dieterich, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716222/
https://www.ncbi.nlm.nih.gov/pubmed/36372953
http://dx.doi.org/10.1111/jcmm.17611
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author Woranush, Warunya
Moskopp, Mats Leif
Noll, Thomas
Dieterich, Peter
author_facet Woranush, Warunya
Moskopp, Mats Leif
Noll, Thomas
Dieterich, Peter
author_sort Woranush, Warunya
collection PubMed
description Adenosine‐3′, 5′‐cyclic monophosphate (cAMP) produced by adenylate cyclases (ADCYs) is an established key regulator of cell homoeostasis. However, its role in cell cycle control is still controversially discussed. This study focussed on the impact of soluble HCO(3) (−) ‐activated ADCY10 on cell cycle progression. Effects are quantified with Bayesian inference integrating a mathematical model and experimental data. The activity of ADCY10 in human umbilical vein endothelial cells (HUVECs) was either pharmacologically inhibited by KH7 or endogenously activated by HCO(3) (−). Cell numbers of individual cell cycle phases were assessed over time using flow cytometry. Based on these numbers, cell cycle dynamics were analysed using a mathematical model. This allowed precise quantification of cell cycle dynamics with model parameters that describe the durations of individual cell cycle phases. Endogenous inactivation of ADCY10 resulted in prolongation of mean cell cycle times (38.7 ± 8.3 h at 0 mM HCO(3) (−) vs 30.3 ± 2.7 h at 24 mM HCO(3) (−)), while pharmacological inhibition resulted in functional arrest of cell cycle by increasing mean cell cycle time after G(0)/G(1) synchronization to 221.0 ± 96.3 h. All cell cycle phases progressed slower due to ADCY10 inactivation. In particular, the G(1)‐S transition was quantitatively the most influenced by ADCY10. In conclusion, the data of the present study show that ADCY10 is a key regulator in cell cycle progression linked specifically to the G(1)‐S transition.
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spelling pubmed-97162222022-12-05 Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference Woranush, Warunya Moskopp, Mats Leif Noll, Thomas Dieterich, Peter J Cell Mol Med Original Articles Adenosine‐3′, 5′‐cyclic monophosphate (cAMP) produced by adenylate cyclases (ADCYs) is an established key regulator of cell homoeostasis. However, its role in cell cycle control is still controversially discussed. This study focussed on the impact of soluble HCO(3) (−) ‐activated ADCY10 on cell cycle progression. Effects are quantified with Bayesian inference integrating a mathematical model and experimental data. The activity of ADCY10 in human umbilical vein endothelial cells (HUVECs) was either pharmacologically inhibited by KH7 or endogenously activated by HCO(3) (−). Cell numbers of individual cell cycle phases were assessed over time using flow cytometry. Based on these numbers, cell cycle dynamics were analysed using a mathematical model. This allowed precise quantification of cell cycle dynamics with model parameters that describe the durations of individual cell cycle phases. Endogenous inactivation of ADCY10 resulted in prolongation of mean cell cycle times (38.7 ± 8.3 h at 0 mM HCO(3) (−) vs 30.3 ± 2.7 h at 24 mM HCO(3) (−)), while pharmacological inhibition resulted in functional arrest of cell cycle by increasing mean cell cycle time after G(0)/G(1) synchronization to 221.0 ± 96.3 h. All cell cycle phases progressed slower due to ADCY10 inactivation. In particular, the G(1)‐S transition was quantitatively the most influenced by ADCY10. In conclusion, the data of the present study show that ADCY10 is a key regulator in cell cycle progression linked specifically to the G(1)‐S transition. John Wiley and Sons Inc. 2022-11-13 2022-12 /pmc/articles/PMC9716222/ /pubmed/36372953 http://dx.doi.org/10.1111/jcmm.17611 Text en © 2022 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Woranush, Warunya
Moskopp, Mats Leif
Noll, Thomas
Dieterich, Peter
Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title_full Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title_fullStr Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title_full_unstemmed Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title_short Quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with Bayesian inference
title_sort quantifying and mathematical modelling of the influence of soluble adenylate cyclase on cell cycle in human endothelial cells with bayesian inference
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716222/
https://www.ncbi.nlm.nih.gov/pubmed/36372953
http://dx.doi.org/10.1111/jcmm.17611
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