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Generation of Single-Cell Transcript Variability by Repression

Gene expression levels vary greatly within similar cells, even within clonal cell populations [1]. These spontaneous expression differences underlie cell fate diversity in both differentiation and disease [2]. The mechanisms responsible for generating expression variability are poorly understood. Us...

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Detalles Bibliográficos
Autores principales: Antolović, Vlatka, Miermont, Agnes, Corrigan, Adam M., Chubb, Jonathan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483230/
https://www.ncbi.nlm.nih.gov/pubmed/28602650
http://dx.doi.org/10.1016/j.cub.2017.05.028
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author Antolović, Vlatka
Miermont, Agnes
Corrigan, Adam M.
Chubb, Jonathan R.
author_facet Antolović, Vlatka
Miermont, Agnes
Corrigan, Adam M.
Chubb, Jonathan R.
author_sort Antolović, Vlatka
collection PubMed
description Gene expression levels vary greatly within similar cells, even within clonal cell populations [1]. These spontaneous expression differences underlie cell fate diversity in both differentiation and disease [2]. The mechanisms responsible for generating expression variability are poorly understood. Using single-cell transcriptomics, we show that transcript variability emerging during Dictyostelium differentiation is driven predominantly by repression rather than activation. The increased variability of repressed genes was observed over a broad range of expression levels, indicating that variability is actively imposed and not a passive statistical effect of the reduced numbers of molecules accompanying repression. These findings can be explained by a simple model of transcript production, with expression controlled by the frequency, rather than the magnitude, of transcriptional firing events. Our study reveals that the generation of differences between cells can be a direct consequence of the basic mechanisms of transcriptional regulation.
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spelling pubmed-54832302017-06-29 Generation of Single-Cell Transcript Variability by Repression Antolović, Vlatka Miermont, Agnes Corrigan, Adam M. Chubb, Jonathan R. Curr Biol Report Gene expression levels vary greatly within similar cells, even within clonal cell populations [1]. These spontaneous expression differences underlie cell fate diversity in both differentiation and disease [2]. The mechanisms responsible for generating expression variability are poorly understood. Using single-cell transcriptomics, we show that transcript variability emerging during Dictyostelium differentiation is driven predominantly by repression rather than activation. The increased variability of repressed genes was observed over a broad range of expression levels, indicating that variability is actively imposed and not a passive statistical effect of the reduced numbers of molecules accompanying repression. These findings can be explained by a simple model of transcript production, with expression controlled by the frequency, rather than the magnitude, of transcriptional firing events. Our study reveals that the generation of differences between cells can be a direct consequence of the basic mechanisms of transcriptional regulation. Cell Press 2017-06-19 /pmc/articles/PMC5483230/ /pubmed/28602650 http://dx.doi.org/10.1016/j.cub.2017.05.028 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Report
Antolović, Vlatka
Miermont, Agnes
Corrigan, Adam M.
Chubb, Jonathan R.
Generation of Single-Cell Transcript Variability by Repression
title Generation of Single-Cell Transcript Variability by Repression
title_full Generation of Single-Cell Transcript Variability by Repression
title_fullStr Generation of Single-Cell Transcript Variability by Repression
title_full_unstemmed Generation of Single-Cell Transcript Variability by Repression
title_short Generation of Single-Cell Transcript Variability by Repression
title_sort generation of single-cell transcript variability by repression
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483230/
https://www.ncbi.nlm.nih.gov/pubmed/28602650
http://dx.doi.org/10.1016/j.cub.2017.05.028
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