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A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription

Activation of gene expression in response to environmental cues results in substantial phenotypic heterogeneity between cells that can impact a wide range of outcomes including differentiation, viral activation, and drug resistance. An important source of gene expression noise is transcriptional bur...

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Autores principales: Bullock, M. Elise, Moreno-Martinez, Nataly, Miller-Jensen, Kathryn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491597/
https://www.ncbi.nlm.nih.gov/pubmed/36084132
http://dx.doi.org/10.1371/journal.pcbi.1010152
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author Bullock, M. Elise
Moreno-Martinez, Nataly
Miller-Jensen, Kathryn
author_facet Bullock, M. Elise
Moreno-Martinez, Nataly
Miller-Jensen, Kathryn
author_sort Bullock, M. Elise
collection PubMed
description Activation of gene expression in response to environmental cues results in substantial phenotypic heterogeneity between cells that can impact a wide range of outcomes including differentiation, viral activation, and drug resistance. An important source of gene expression noise is transcriptional bursting, or the process by which transcripts are produced during infrequent bursts of promoter activity. Chromatin accessibility impacts transcriptional bursting by regulating the assembly of transcription factor and polymerase complexes on promoters, suggesting that the effect of an activating signal on transcriptional noise will depend on the initial chromatin state at the promoter. To explore this possibility, we simulated transcriptional activation using a transcriptional cycling model with three promoter states that represent chromatin remodeling, polymerase binding and pause release. We initiated this model over a large parameter range representing target genes with different chromatin environments, and found that, upon increasing the polymerase pause release rate to activate transcription, changes in gene expression noise varied significantly across initial promoter states. This model captured phenotypic differences in activation of latent HIV viruses integrated at different chromatin locations and mediated by the transcription factor NF-κB. Activating transcription in the model via increasing one or more of the transcript production rates, as occurs following NF-κB activation, reproduced experimentally measured transcript distributions for four different latent HIV viruses, as well as the bimodal pattern of HIV protein expression that leads to a subset of reactivated virus. Importantly, the parameter ‘activation path’ differentially affected gene expression noise, and ultimately viral activation, in line with experimental observations. This work demonstrates how upstream signaling pathways can be connected to biological processes that underlie transcriptional bursting, resulting in target gene-specific noise profiles following stimulation of a single upstream pathway.
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spelling pubmed-94915972022-09-22 A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription Bullock, M. Elise Moreno-Martinez, Nataly Miller-Jensen, Kathryn PLoS Comput Biol Research Article Activation of gene expression in response to environmental cues results in substantial phenotypic heterogeneity between cells that can impact a wide range of outcomes including differentiation, viral activation, and drug resistance. An important source of gene expression noise is transcriptional bursting, or the process by which transcripts are produced during infrequent bursts of promoter activity. Chromatin accessibility impacts transcriptional bursting by regulating the assembly of transcription factor and polymerase complexes on promoters, suggesting that the effect of an activating signal on transcriptional noise will depend on the initial chromatin state at the promoter. To explore this possibility, we simulated transcriptional activation using a transcriptional cycling model with three promoter states that represent chromatin remodeling, polymerase binding and pause release. We initiated this model over a large parameter range representing target genes with different chromatin environments, and found that, upon increasing the polymerase pause release rate to activate transcription, changes in gene expression noise varied significantly across initial promoter states. This model captured phenotypic differences in activation of latent HIV viruses integrated at different chromatin locations and mediated by the transcription factor NF-κB. Activating transcription in the model via increasing one or more of the transcript production rates, as occurs following NF-κB activation, reproduced experimentally measured transcript distributions for four different latent HIV viruses, as well as the bimodal pattern of HIV protein expression that leads to a subset of reactivated virus. Importantly, the parameter ‘activation path’ differentially affected gene expression noise, and ultimately viral activation, in line with experimental observations. This work demonstrates how upstream signaling pathways can be connected to biological processes that underlie transcriptional bursting, resulting in target gene-specific noise profiles following stimulation of a single upstream pathway. Public Library of Science 2022-09-09 /pmc/articles/PMC9491597/ /pubmed/36084132 http://dx.doi.org/10.1371/journal.pcbi.1010152 Text en © 2022 Bullock et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bullock, M. Elise
Moreno-Martinez, Nataly
Miller-Jensen, Kathryn
A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title_full A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title_fullStr A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title_full_unstemmed A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title_short A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
title_sort transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491597/
https://www.ncbi.nlm.nih.gov/pubmed/36084132
http://dx.doi.org/10.1371/journal.pcbi.1010152
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