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The circadian oscillator analysed at the single‐transcript level

The circadian clock is an endogenous and self‐sustained oscillator that anticipates daily environmental cycles. While rhythmic gene expression of circadian genes is well‐described in populations of cells, the single‐cell mRNA dynamics of multiple core clock genes remain largely unknown. Here we use...

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Detalles Bibliográficos
Autores principales: Phillips, Nicholas E, Hugues, Alice, Yeung, Jake, Durandau, Eric, Nicolas, Damien, Naef, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957410/
https://www.ncbi.nlm.nih.gov/pubmed/33719202
http://dx.doi.org/10.15252/msb.202010135
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author Phillips, Nicholas E
Hugues, Alice
Yeung, Jake
Durandau, Eric
Nicolas, Damien
Naef, Felix
author_facet Phillips, Nicholas E
Hugues, Alice
Yeung, Jake
Durandau, Eric
Nicolas, Damien
Naef, Felix
author_sort Phillips, Nicholas E
collection PubMed
description The circadian clock is an endogenous and self‐sustained oscillator that anticipates daily environmental cycles. While rhythmic gene expression of circadian genes is well‐described in populations of cells, the single‐cell mRNA dynamics of multiple core clock genes remain largely unknown. Here we use single‐molecule fluorescence in situ hybridisation (smFISH) at multiple time points to measure pairs of core clock transcripts, Rev‐erbα (Nr1d1), Cry1 and Bmal1, in mouse fibroblasts. The mean mRNA level oscillates over 24 h for all three genes, but mRNA numbers show considerable spread between cells. We develop a probabilistic model for multivariate mRNA counts using mixtures of negative binomials, which accounts for transcriptional bursting, circadian time and cell‐to‐cell heterogeneity, notably in cell size. Decomposing the mRNA variability into distinct noise sources shows that clock time contributes a small fraction of the total variability in mRNA number between cells. Thus, our results highlight the intrinsic biological challenges in estimating circadian phase from single‐cell mRNA counts and suggest that circadian phase in single cells is encoded post‐transcriptionally.
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spelling pubmed-79574102021-03-19 The circadian oscillator analysed at the single‐transcript level Phillips, Nicholas E Hugues, Alice Yeung, Jake Durandau, Eric Nicolas, Damien Naef, Felix Mol Syst Biol Articles The circadian clock is an endogenous and self‐sustained oscillator that anticipates daily environmental cycles. While rhythmic gene expression of circadian genes is well‐described in populations of cells, the single‐cell mRNA dynamics of multiple core clock genes remain largely unknown. Here we use single‐molecule fluorescence in situ hybridisation (smFISH) at multiple time points to measure pairs of core clock transcripts, Rev‐erbα (Nr1d1), Cry1 and Bmal1, in mouse fibroblasts. The mean mRNA level oscillates over 24 h for all three genes, but mRNA numbers show considerable spread between cells. We develop a probabilistic model for multivariate mRNA counts using mixtures of negative binomials, which accounts for transcriptional bursting, circadian time and cell‐to‐cell heterogeneity, notably in cell size. Decomposing the mRNA variability into distinct noise sources shows that clock time contributes a small fraction of the total variability in mRNA number between cells. Thus, our results highlight the intrinsic biological challenges in estimating circadian phase from single‐cell mRNA counts and suggest that circadian phase in single cells is encoded post‐transcriptionally. John Wiley and Sons Inc. 2021-03-15 /pmc/articles/PMC7957410/ /pubmed/33719202 http://dx.doi.org/10.15252/msb.202010135 Text en © 2021 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Phillips, Nicholas E
Hugues, Alice
Yeung, Jake
Durandau, Eric
Nicolas, Damien
Naef, Felix
The circadian oscillator analysed at the single‐transcript level
title The circadian oscillator analysed at the single‐transcript level
title_full The circadian oscillator analysed at the single‐transcript level
title_fullStr The circadian oscillator analysed at the single‐transcript level
title_full_unstemmed The circadian oscillator analysed at the single‐transcript level
title_short The circadian oscillator analysed at the single‐transcript level
title_sort circadian oscillator analysed at the single‐transcript level
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957410/
https://www.ncbi.nlm.nih.gov/pubmed/33719202
http://dx.doi.org/10.15252/msb.202010135
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