PT  - JOURNAL ARTICLE
AU  - Evan S. Littleton
AU  - Shihoko Kojima
TI  - Genome-wide correlation analysis reveals <em>Rorc</em> as potential amplitude regulator of circadian transcriptome output
AID  - 10.1101/2020.06.19.161307
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.06.19.161307
4099  - http://biorxiv.org/content/early/2020/06/20/2020.06.19.161307.short
4100  - http://biorxiv.org/content/early/2020/06/20/2020.06.19.161307.full
AB  - Cell-autonomous circadian system, consisting of core clock genes, generates near 24-hour 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.Competing Interest StatementThe authors have declared no competing interest.