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Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic

Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding prote...

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Autores principales: Cholewa-Waclaw, Justyna, Shah, Ruth, Webb, Shaun, Chhatbar, Kashyap, Ramsahoye, Bernard, Pusch, Oliver, Yu, Miao, Greulich, Philip, Waclaw, Bartlomiej, Bird, Adrian P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660794/
https://www.ncbi.nlm.nih.gov/pubmed/31289233
http://dx.doi.org/10.1073/pnas.1903549116
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author Cholewa-Waclaw, Justyna
Shah, Ruth
Webb, Shaun
Chhatbar, Kashyap
Ramsahoye, Bernard
Pusch, Oliver
Yu, Miao
Greulich, Philip
Waclaw, Bartlomiej
Bird, Adrian P.
author_facet Cholewa-Waclaw, Justyna
Shah, Ruth
Webb, Shaun
Chhatbar, Kashyap
Ramsahoye, Bernard
Pusch, Oliver
Yu, Miao
Greulich, Philip
Waclaw, Bartlomiej
Bird, Adrian P.
author_sort Cholewa-Waclaw, Justyna
collection PubMed
description Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here, we integrate quantitative, multidimensional experimental analysis and mathematical modeling to indicate that MeCP2 is a global transcriptional regulator whose binding to DNA creates “slow sites” in gene bodies. We hypothesize that waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shockwaves in nonequilibrium physics transport models. This mechanism differs from conventional gene-regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings point to a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene-expression patterns are choreographed.
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spelling pubmed-66607942019-08-02 Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic Cholewa-Waclaw, Justyna Shah, Ruth Webb, Shaun Chhatbar, Kashyap Ramsahoye, Bernard Pusch, Oliver Yu, Miao Greulich, Philip Waclaw, Bartlomiej Bird, Adrian P. Proc Natl Acad Sci U S A Biological Sciences Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here, we integrate quantitative, multidimensional experimental analysis and mathematical modeling to indicate that MeCP2 is a global transcriptional regulator whose binding to DNA creates “slow sites” in gene bodies. We hypothesize that waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shockwaves in nonequilibrium physics transport models. This mechanism differs from conventional gene-regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings point to a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene-expression patterns are choreographed. National Academy of Sciences 2019-07-23 2019-07-09 /pmc/articles/PMC6660794/ /pubmed/31289233 http://dx.doi.org/10.1073/pnas.1903549116 Text en Copyright © 2019 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Cholewa-Waclaw, Justyna
Shah, Ruth
Webb, Shaun
Chhatbar, Kashyap
Ramsahoye, Bernard
Pusch, Oliver
Yu, Miao
Greulich, Philip
Waclaw, Bartlomiej
Bird, Adrian P.
Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title_full Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title_fullStr Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title_full_unstemmed Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title_short Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic
title_sort quantitative modelling predicts the impact of dna methylation on rna polymerase ii traffic
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660794/
https://www.ncbi.nlm.nih.gov/pubmed/31289233
http://dx.doi.org/10.1073/pnas.1903549116
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