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在单转录本水平上分析的生物钟振荡器。

The circadian oscillator analysed at the single-transcript level.

机构信息

Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Master de Biologie, École Normale Supérieure de Lyon, Université Claude Bernard Lyon I, Université de Lyon, Lyon, France.

出版信息

Mol Syst Biol. 2021 Mar;17(3):e10135. doi: 10.15252/msb.202010135.

DOI:10.15252/msb.202010135
PMID:33719202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7957410/
Abstract

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.

摘要

生物钟是一种内源性的、自我维持的振荡器,能够预测每日的环境周期。虽然节律性基因表达的生物钟基因在细胞群体中得到了很好的描述,但多个核心生物钟基因的单细胞 mRNA 动态仍然知之甚少。在这里,我们使用单分子荧光原位杂交(smFISH)在多个时间点测量小鼠成纤维细胞中两对核心生物钟转录本,Rev-erbα(Nr1d1)、Cry1 和 Bmal1。所有这三个基因的 mRNA 水平在 24 小时内都呈周期性波动,但 mRNA 数量在细胞间存在很大差异。我们使用负二项式混合物开发了一种用于多变量 mRNA 计数的概率模型,该模型考虑了转录爆发、生物钟时间和细胞间异质性,特别是细胞大小。将 mRNA 变异性分解为不同的噪声源表明,生物钟时间仅占细胞间 mRNA 数量总变异性的一小部分。因此,我们的研究结果突出了从单细胞 mRNA 计数估计生物钟相位所面临的内在生物学挑战,并表明生物钟相位在单细胞中是在后转录水平上编码的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/7bb182d158ff/MSB-17-e10135-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/0f7c428b6b6e/MSB-17-e10135-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/4a3ad1412816/MSB-17-e10135-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/d4364e8bb224/MSB-17-e10135-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/7bb182d158ff/MSB-17-e10135-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/0f7c428b6b6e/MSB-17-e10135-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/4a3ad1412816/MSB-17-e10135-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/d4364e8bb224/MSB-17-e10135-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e183/7957410/7bb182d158ff/MSB-17-e10135-g002.jpg

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