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A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes

Regulatory factors that control gene transcription in multicellular organisms are assembled in multicomponent complexes by combinatorial interactions. In this context, nuclear receptors provide well-characterized and physiologically relevant systems to study ligand-induced transcription resulting fr...

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Autores principales: Monczor, Federico, Chatzopoulou, Antonia, Zappia, Carlos Daniel, Houtman, René, Meijer, Onno C., Fitzsimons, Carlos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425864/
https://www.ncbi.nlm.nih.gov/pubmed/30930776
http://dx.doi.org/10.3389/fphar.2019.00214
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author Monczor, Federico
Chatzopoulou, Antonia
Zappia, Carlos Daniel
Houtman, René
Meijer, Onno C.
Fitzsimons, Carlos P.
author_facet Monczor, Federico
Chatzopoulou, Antonia
Zappia, Carlos Daniel
Houtman, René
Meijer, Onno C.
Fitzsimons, Carlos P.
author_sort Monczor, Federico
collection PubMed
description Regulatory factors that control gene transcription in multicellular organisms are assembled in multicomponent complexes by combinatorial interactions. In this context, nuclear receptors provide well-characterized and physiologically relevant systems to study ligand-induced transcription resulting from the integration of cellular and genomic information in a cell- and gene-specific manner. Here, we developed a mathematical model describing the interactions between the glucocorticoid receptor (GR) and other components of a multifactorial regulatory complex controlling the transcription of GR-target genes, such as coregulator peptides. We support the validity of the model in relation to gene-specific GR transactivation with gene transcription data from A549 cells and in vitro real time quantification of coregulator-GR interactions. The model accurately describes and helps to interpret ligand-specific and gene-specific transcriptional regulation by the GR. The comprehensive character of the model allows future insight into the function and relative contribution of the molecular species proposed in ligand- and gene-specific transcriptional regulation.
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spelling pubmed-64258642019-03-29 A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes Monczor, Federico Chatzopoulou, Antonia Zappia, Carlos Daniel Houtman, René Meijer, Onno C. Fitzsimons, Carlos P. Front Pharmacol Pharmacology Regulatory factors that control gene transcription in multicellular organisms are assembled in multicomponent complexes by combinatorial interactions. In this context, nuclear receptors provide well-characterized and physiologically relevant systems to study ligand-induced transcription resulting from the integration of cellular and genomic information in a cell- and gene-specific manner. Here, we developed a mathematical model describing the interactions between the glucocorticoid receptor (GR) and other components of a multifactorial regulatory complex controlling the transcription of GR-target genes, such as coregulator peptides. We support the validity of the model in relation to gene-specific GR transactivation with gene transcription data from A549 cells and in vitro real time quantification of coregulator-GR interactions. The model accurately describes and helps to interpret ligand-specific and gene-specific transcriptional regulation by the GR. The comprehensive character of the model allows future insight into the function and relative contribution of the molecular species proposed in ligand- and gene-specific transcriptional regulation. Frontiers Media S.A. 2019-03-13 /pmc/articles/PMC6425864/ /pubmed/30930776 http://dx.doi.org/10.3389/fphar.2019.00214 Text en Copyright © 2019 Monczor, Chatzopoulou, Zappia, Houtman, Meijer and Fitzsimons. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Monczor, Federico
Chatzopoulou, Antonia
Zappia, Carlos Daniel
Houtman, René
Meijer, Onno C.
Fitzsimons, Carlos P.
A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title_full A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title_fullStr A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title_full_unstemmed A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title_short A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes
title_sort model of glucocorticoid receptor interaction with coregulators predicts transcriptional regulation of target genes
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425864/
https://www.ncbi.nlm.nih.gov/pubmed/30930776
http://dx.doi.org/10.3389/fphar.2019.00214
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