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Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression

The large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational outpu...

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Autores principales: Zopf, C. J., Quinn, Katie, Zeidman, Joshua, Maheshri, Narendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723585/
https://www.ncbi.nlm.nih.gov/pubmed/23935476
http://dx.doi.org/10.1371/journal.pcbi.1003161
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author Zopf, C. J.
Quinn, Katie
Zeidman, Joshua
Maheshri, Narendra
author_facet Zopf, C. J.
Quinn, Katie
Zeidman, Joshua
Maheshri, Narendra
author_sort Zopf, C. J.
collection PubMed
description The large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational output, but how this influences transcriptional statistics from noisy promoters is unknown and generally ignored by current stochastic models. Here we show that variable transcription from the synthetic tetO promoter in S. cerevisiae is dominated by its dependence on the cell cycle. Real-time measurements of fluorescent protein at high expression levels indicate tetO promoters increase transcription rate ∼2-fold in S/G2/M similar to constitutive genes. At low expression levels, where tetO promoters are thought to generate infrequent bursts of transcription, we observe random pulses of expression restricted to S/G2/M, which are correlated between homologous promoters present in the same cell. The analysis of static, single-cell mRNA measurements at different points along the cell cycle corroborates these findings. Our results demonstrate that highly variable mRNA distributions in yeast are not solely the result of randomly switching between periods of active and inactive gene expression, but instead largely driven by differences in transcriptional activity between G1 and S/G2/M.
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spelling pubmed-37235852013-08-09 Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression Zopf, C. J. Quinn, Katie Zeidman, Joshua Maheshri, Narendra PLoS Comput Biol Research Article The large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational output, but how this influences transcriptional statistics from noisy promoters is unknown and generally ignored by current stochastic models. Here we show that variable transcription from the synthetic tetO promoter in S. cerevisiae is dominated by its dependence on the cell cycle. Real-time measurements of fluorescent protein at high expression levels indicate tetO promoters increase transcription rate ∼2-fold in S/G2/M similar to constitutive genes. At low expression levels, where tetO promoters are thought to generate infrequent bursts of transcription, we observe random pulses of expression restricted to S/G2/M, which are correlated between homologous promoters present in the same cell. The analysis of static, single-cell mRNA measurements at different points along the cell cycle corroborates these findings. Our results demonstrate that highly variable mRNA distributions in yeast are not solely the result of randomly switching between periods of active and inactive gene expression, but instead largely driven by differences in transcriptional activity between G1 and S/G2/M. Public Library of Science 2013-07-25 /pmc/articles/PMC3723585/ /pubmed/23935476 http://dx.doi.org/10.1371/journal.pcbi.1003161 Text en © 2013 Zopf et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zopf, C. J.
Quinn, Katie
Zeidman, Joshua
Maheshri, Narendra
Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title_full Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title_fullStr Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title_full_unstemmed Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title_short Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
title_sort cell-cycle dependence of transcription dominates noise in gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723585/
https://www.ncbi.nlm.nih.gov/pubmed/23935476
http://dx.doi.org/10.1371/journal.pcbi.1003161
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