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Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic

Transcription factors regulate their target genes by binding to regulatory regions in the genome. Although the binding preferences of TP53 are known, it remains unclear what distinguishes functional enhancers from nonfunctional binding. In addition, the genome is scattered with recognition sequences...

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Autores principales: Verfaillie, Annelien, Svetlichnyy, Dmitry, Imrichova, Hana, Davie, Kristofer, Fiers, Mark, Kalender Atak, Zeynep, Hulselmans, Gert, Christiaens, Valerie, Aerts, Stein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937571/
https://www.ncbi.nlm.nih.gov/pubmed/27197205
http://dx.doi.org/10.1101/gr.204149.116
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author Verfaillie, Annelien
Svetlichnyy, Dmitry
Imrichova, Hana
Davie, Kristofer
Fiers, Mark
Kalender Atak, Zeynep
Hulselmans, Gert
Christiaens, Valerie
Aerts, Stein
author_facet Verfaillie, Annelien
Svetlichnyy, Dmitry
Imrichova, Hana
Davie, Kristofer
Fiers, Mark
Kalender Atak, Zeynep
Hulselmans, Gert
Christiaens, Valerie
Aerts, Stein
author_sort Verfaillie, Annelien
collection PubMed
description Transcription factors regulate their target genes by binding to regulatory regions in the genome. Although the binding preferences of TP53 are known, it remains unclear what distinguishes functional enhancers from nonfunctional binding. In addition, the genome is scattered with recognition sequences that remain unoccupied. Using two complementary techniques of multiplex enhancer-reporter assays, we discovered that functional enhancers could be discriminated from nonfunctional binding events by the occurrence of a single TP53 canonical motif. By combining machine learning with a meta-analysis of TP53 ChIP-seq data sets, we identified a core set of more than 1000 responsive enhancers in the human genome. This TP53 cistrome is invariably used between cell types and experimental conditions, whereas differences among experiments can be attributed to indirect nonfunctional binding events. Our data suggest that TP53 enhancers represent a class of unsophisticated cell-autonomous enhancers containing a single TP53 binding site, distinct from complex developmental enhancers that integrate signals from multiple transcription factors.
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spelling pubmed-49375712016-07-22 Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic Verfaillie, Annelien Svetlichnyy, Dmitry Imrichova, Hana Davie, Kristofer Fiers, Mark Kalender Atak, Zeynep Hulselmans, Gert Christiaens, Valerie Aerts, Stein Genome Res Research Transcription factors regulate their target genes by binding to regulatory regions in the genome. Although the binding preferences of TP53 are known, it remains unclear what distinguishes functional enhancers from nonfunctional binding. In addition, the genome is scattered with recognition sequences that remain unoccupied. Using two complementary techniques of multiplex enhancer-reporter assays, we discovered that functional enhancers could be discriminated from nonfunctional binding events by the occurrence of a single TP53 canonical motif. By combining machine learning with a meta-analysis of TP53 ChIP-seq data sets, we identified a core set of more than 1000 responsive enhancers in the human genome. This TP53 cistrome is invariably used between cell types and experimental conditions, whereas differences among experiments can be attributed to indirect nonfunctional binding events. Our data suggest that TP53 enhancers represent a class of unsophisticated cell-autonomous enhancers containing a single TP53 binding site, distinct from complex developmental enhancers that integrate signals from multiple transcription factors. Cold Spring Harbor Laboratory Press 2016-07 /pmc/articles/PMC4937571/ /pubmed/27197205 http://dx.doi.org/10.1101/gr.204149.116 Text en © 2016 Verfaillie et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Verfaillie, Annelien
Svetlichnyy, Dmitry
Imrichova, Hana
Davie, Kristofer
Fiers, Mark
Kalender Atak, Zeynep
Hulselmans, Gert
Christiaens, Valerie
Aerts, Stein
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title_full Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title_fullStr Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title_full_unstemmed Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title_short Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
title_sort multiplex enhancer-reporter assays uncover unsophisticated tp53 enhancer logic
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937571/
https://www.ncbi.nlm.nih.gov/pubmed/27197205
http://dx.doi.org/10.1101/gr.204149.116
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