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Signal integration by the CYP1A1 promoter — a quantitative study

Genes involved in detoxification of foreign compounds exhibit complex spatiotemporal expression patterns in liver. Cytochrome P450 1A1 (CYP1A1), for example, is restricted to the pericentral region of liver lobules in response to the interplay between aryl hydrocarbon receptor (AhR) and Wnt/β-cateni...

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Autores principales: Schulthess, Pascal, Löffler, Alexandra, Vetter, Silvia, Kreft, Luisa, Schwarz, Michael, Braeuning, Albert, Blüthgen, Nils
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477655/
https://www.ncbi.nlm.nih.gov/pubmed/25934798
http://dx.doi.org/10.1093/nar/gkv423
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author Schulthess, Pascal
Löffler, Alexandra
Vetter, Silvia
Kreft, Luisa
Schwarz, Michael
Braeuning, Albert
Blüthgen, Nils
author_facet Schulthess, Pascal
Löffler, Alexandra
Vetter, Silvia
Kreft, Luisa
Schwarz, Michael
Braeuning, Albert
Blüthgen, Nils
author_sort Schulthess, Pascal
collection PubMed
description Genes involved in detoxification of foreign compounds exhibit complex spatiotemporal expression patterns in liver. Cytochrome P450 1A1 (CYP1A1), for example, is restricted to the pericentral region of liver lobules in response to the interplay between aryl hydrocarbon receptor (AhR) and Wnt/β-catenin signaling pathways. However, the mechanisms by which the two pathways orchestrate gene expression are still poorly understood. With the help of 29 mutant constructs of the human CYP1A1 promoter and a mathematical model that combines Wnt/β-catenin and AhR signaling with the statistical mechanics of the promoter, we systematically quantified the regulatory influence of different transcription factor binding sites on gene induction within the promoter. The model unveils how different binding sites cooperate and how they establish the promoter logic; it quantitatively predicts two-dimensional stimulus-response curves. Furthermore, it shows that crosstalk between Wnt/β-catenin and AhR signaling is crucial to understand the complex zonated expression patterns found in liver lobules. This study exemplifies how statistical mechanical modeling together with combinatorial reporter assays has the capacity to disentangle the promoter logic that establishes physiological gene expression patterns.
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spelling pubmed-44776552015-06-29 Signal integration by the CYP1A1 promoter — a quantitative study Schulthess, Pascal Löffler, Alexandra Vetter, Silvia Kreft, Luisa Schwarz, Michael Braeuning, Albert Blüthgen, Nils Nucleic Acids Res Computational Biology Genes involved in detoxification of foreign compounds exhibit complex spatiotemporal expression patterns in liver. Cytochrome P450 1A1 (CYP1A1), for example, is restricted to the pericentral region of liver lobules in response to the interplay between aryl hydrocarbon receptor (AhR) and Wnt/β-catenin signaling pathways. However, the mechanisms by which the two pathways orchestrate gene expression are still poorly understood. With the help of 29 mutant constructs of the human CYP1A1 promoter and a mathematical model that combines Wnt/β-catenin and AhR signaling with the statistical mechanics of the promoter, we systematically quantified the regulatory influence of different transcription factor binding sites on gene induction within the promoter. The model unveils how different binding sites cooperate and how they establish the promoter logic; it quantitatively predicts two-dimensional stimulus-response curves. Furthermore, it shows that crosstalk between Wnt/β-catenin and AhR signaling is crucial to understand the complex zonated expression patterns found in liver lobules. This study exemplifies how statistical mechanical modeling together with combinatorial reporter assays has the capacity to disentangle the promoter logic that establishes physiological gene expression patterns. Oxford University Press 2015-06-23 2015-05-01 /pmc/articles/PMC4477655/ /pubmed/25934798 http://dx.doi.org/10.1093/nar/gkv423 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Schulthess, Pascal
Löffler, Alexandra
Vetter, Silvia
Kreft, Luisa
Schwarz, Michael
Braeuning, Albert
Blüthgen, Nils
Signal integration by the CYP1A1 promoter — a quantitative study
title Signal integration by the CYP1A1 promoter — a quantitative study
title_full Signal integration by the CYP1A1 promoter — a quantitative study
title_fullStr Signal integration by the CYP1A1 promoter — a quantitative study
title_full_unstemmed Signal integration by the CYP1A1 promoter — a quantitative study
title_short Signal integration by the CYP1A1 promoter — a quantitative study
title_sort signal integration by the cyp1a1 promoter — a quantitative study
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477655/
https://www.ncbi.nlm.nih.gov/pubmed/25934798
http://dx.doi.org/10.1093/nar/gkv423
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