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全基因组关联分析鉴定生物钟转录组输出的振幅调节剂。

Genome-wide correlation analysis to identify amplitude regulators of circadian transcriptome output.

机构信息

Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, USA.

出版信息

Sci Rep. 2020 Dec 14;10(1):21839. doi: 10.1038/s41598-020-78851-9.

Abstract

Cell-autonomous circadian system, consisting of core clock genes, generates near 24-h rhythms and regulates the downstream rhythmic gene expression. While it has become clear that the percentage of rhythmic genes varies among mouse tissues, it remains unclear how this variation can be generated, particularly when the clock machinery is nearly identical in all tissues. In this study, we sought to characterize circadian transcriptome datasets that are publicly available and identify the critical component(s) involved in creating this variation. We found that the relative amplitude of 13 genes and the average level of 197 genes correlated with the percentage of cycling genes. Of those, the correlation of Rorc in both relative amplitude and the average level was one of the strongest. In addition, the level of Per2AS, a novel non-coding transcript that is expressed at the Period 2 locus, was also linearly correlated, although with a much lesser degree compared to Rorc. Overall, our study provides insight into how the variation in the percentage of clock-controlled genes can be generated in mouse tissues and suggests that Rorc and potentially Per2AS are involved in regulating the amplitude of circadian transcriptome output.

摘要

细胞自主的生物钟系统由核心时钟基因组成,产生接近 24 小时的节律,并调节下游的节律基因表达。虽然已经清楚地表明,在不同的小鼠组织中,节律基因的比例存在差异,但目前尚不清楚这种差异是如何产生的,特别是当所有组织中的生物钟机制几乎相同的情况下。在这项研究中,我们试图描述公开的生物钟转录组数据集,并确定产生这种差异的关键成分。我们发现,13 个基因的相对振幅和 197 个基因的平均水平与循环基因的比例相关。在这些基因中,Rorc 在相对振幅和平均水平上的相关性是最强的之一。此外,Period 2 基因座表达的新型非编码转录本 Per2AS 的水平也呈线性相关,尽管与 Rorc 相比程度要小得多。总的来说,我们的研究提供了关于如何在小鼠组织中产生时钟控制基因比例变化的见解,并表明 Rorc 和可能的 Per2AS 参与调节生物钟转录组输出的振幅。

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