From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting

Transcriptional activation of eukaryotic genes is accompanied, in general, by a change in the sensitivity of promoter chromatin to endonucleases. The structural basis of this alteration has remained elusive for decades; but the change has been viewed as a transformation of one structure into another...

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Main Authors: Boeger, Hinrich, Shelansky, Robert, Patel, Heta, Brown, Christopher R.
Format: Online
Language:English
Published: MDPI 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584311/
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spelling pubmed-45843112015-10-05 From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting Boeger, Hinrich Shelansky, Robert Patel, Heta Brown, Christopher R. Review Transcriptional activation of eukaryotic genes is accompanied, in general, by a change in the sensitivity of promoter chromatin to endonucleases. The structural basis of this alteration has remained elusive for decades; but the change has been viewed as a transformation of one structure into another, from “closed” to “open” chromatin. In contradistinction to this static and deterministic view of the problem, a dynamical and probabilistic theory of promoter chromatin has emerged as its solution. This theory, which we review here, explains observed variation in promoter chromatin structure at the level of single gene molecules and provides a molecular basis for random bursting in transcription—the conjecture that promoters stochastically transition between transcriptionally conducive and inconducive states. The mechanism of transcriptional regulation may be understood only in probabilistic terms. MDPI 2015-06-30 /pmc/articles/PMC4584311/ /pubmed/26136240 http://dx.doi.org/10.3390/genes6030469 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Boeger, Hinrich
Shelansky, Robert
Patel, Heta
Brown, Christopher R.
spellingShingle Boeger, Hinrich
Shelansky, Robert
Patel, Heta
Brown, Christopher R.
From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
author_facet Boeger, Hinrich
Shelansky, Robert
Patel, Heta
Brown, Christopher R.
author_sort Boeger, Hinrich
title From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
title_short From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
title_full From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
title_fullStr From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
title_full_unstemmed From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
title_sort from structural variation of gene molecules to chromatin dynamics and transcriptional bursting
description Transcriptional activation of eukaryotic genes is accompanied, in general, by a change in the sensitivity of promoter chromatin to endonucleases. The structural basis of this alteration has remained elusive for decades; but the change has been viewed as a transformation of one structure into another, from “closed” to “open” chromatin. In contradistinction to this static and deterministic view of the problem, a dynamical and probabilistic theory of promoter chromatin has emerged as its solution. This theory, which we review here, explains observed variation in promoter chromatin structure at the level of single gene molecules and provides a molecular basis for random bursting in transcription—the conjecture that promoters stochastically transition between transcriptionally conducive and inconducive states. The mechanism of transcriptional regulation may be understood only in probabilistic terms.
publisher MDPI
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584311/
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