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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-7957410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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