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Transcript counting in single cells reveals dynamics of rDNA transcription

Most eukaryotes contain many tandem repeats of ribosomal RNA genes of which only a subset is transcribed at any given time. Current biochemical methods allow for the determination of the fraction of transcribing repeats (ON) versus non-transcribing repeats (OFF) but do not provide any dynamical info...

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Detalles Bibliográficos
Autores principales: Tan, Rui Zhen, van Oudenaarden, Alexander
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872610/
https://www.ncbi.nlm.nih.gov/pubmed/20393578
http://dx.doi.org/10.1038/msb.2010.14
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author Tan, Rui Zhen
van Oudenaarden, Alexander
author_facet Tan, Rui Zhen
van Oudenaarden, Alexander
author_sort Tan, Rui Zhen
collection PubMed
description Most eukaryotes contain many tandem repeats of ribosomal RNA genes of which only a subset is transcribed at any given time. Current biochemical methods allow for the determination of the fraction of transcribing repeats (ON) versus non-transcribing repeats (OFF) but do not provide any dynamical information and obscure any transcription activity at the single-cell level. Here, we use a fluorescence in situ hybridization (FISH) technique that allows the detection of single-RNA molecules in individual yeast cells. We use this method complemented with theoretical modeling to determine the rate of switching from OFF to ON (activation rate) and the average number of RNA molecules produced during each transcriptional burst (burst size). We explore how these two variables change in mutants and different growth conditions, and show that this method resolves changes in these two variables even when the average rDNA expression is unaltered. These phenotypic changes could not have been detected by traditional biochemical assays.
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spelling pubmed-28726102010-05-19 Transcript counting in single cells reveals dynamics of rDNA transcription Tan, Rui Zhen van Oudenaarden, Alexander Mol Syst Biol Report Most eukaryotes contain many tandem repeats of ribosomal RNA genes of which only a subset is transcribed at any given time. Current biochemical methods allow for the determination of the fraction of transcribing repeats (ON) versus non-transcribing repeats (OFF) but do not provide any dynamical information and obscure any transcription activity at the single-cell level. Here, we use a fluorescence in situ hybridization (FISH) technique that allows the detection of single-RNA molecules in individual yeast cells. We use this method complemented with theoretical modeling to determine the rate of switching from OFF to ON (activation rate) and the average number of RNA molecules produced during each transcriptional burst (burst size). We explore how these two variables change in mutants and different growth conditions, and show that this method resolves changes in these two variables even when the average rDNA expression is unaltered. These phenotypic changes could not have been detected by traditional biochemical assays. Nature Publishing Group 2010-04-13 /pmc/articles/PMC2872610/ /pubmed/20393578 http://dx.doi.org/10.1038/msb.2010.14 Text en Copyright © 2010, EMBO and Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. This licence does not permit commercial exploitation or the creation of derivative works without specific permission.
spellingShingle Report
Tan, Rui Zhen
van Oudenaarden, Alexander
Transcript counting in single cells reveals dynamics of rDNA transcription
title Transcript counting in single cells reveals dynamics of rDNA transcription
title_full Transcript counting in single cells reveals dynamics of rDNA transcription
title_fullStr Transcript counting in single cells reveals dynamics of rDNA transcription
title_full_unstemmed Transcript counting in single cells reveals dynamics of rDNA transcription
title_short Transcript counting in single cells reveals dynamics of rDNA transcription
title_sort transcript counting in single cells reveals dynamics of rdna transcription
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872610/
https://www.ncbi.nlm.nih.gov/pubmed/20393578
http://dx.doi.org/10.1038/msb.2010.14
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AT vanoudenaardenalexander transcriptcountinginsinglecellsrevealsdynamicsofrdnatranscription