Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2019 Mar 19;116(12):5206-5208.
doi: 10.1073/pnas.1819173116. Epub 2019 Mar 14.

Reply to Laing et al.: Accurate prediction of circadian time across platforms

Rosemary Braun  1   2 , William L Kath  2 , Marta Iwanaszko  3 , Elzbieta Kula-Eversole  4 , Sabra M Abbott  5   6 , Kathryn J Reid  5   6 , Phyllis C Zee  5   6 , Ravi Allada  4
Affiliations
Comment

Reply to Laing et al.: Accurate prediction of circadian time across platforms

Rosemary Braun et al. Proc Natl Acad Sci U S A. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Comparison of circadian and clock time measurements in study subjects. (Left) Distribution of DLMO25% times for all subject-days with melatonin data (n = 89; data from refs. –3); the median DLMO25% was 23:10. (Right) Local clock time vs. circadian phase (hours since DLMO25%) for all samples with available melatonin data.
Fig. 2.
Fig. 2.
TimeSignature predictions of melatonin phase [represented as Time Since DLMO25% (in hours)]. mTS refers to TimeSignature predictions for Time Since DLMO25% when trained using Time Since DLMO25% as the outcome in the training data, whereas oTS refers to TimeSignature predictions for Time Since DLMO25% using the original, local-time-trained predictor reported in ref. . Because of the close relationship between local time and DLMO25% (Fig. 1), these predictions are similar, although the melatonin-trained predictor is more accurate (as expected). Also shown are comparisons to the PLSR (mPL) and differential PLSR (dPL) models, both trained on Time Since DLMO25% in the same set of samples used for TimeSignature. Data used to reproduce this figure are available from https://github.com/braunr/TimeSignatR (7).
See this image and copyright information in PMC

Comment on

References

    1. Braun R, et al. Universal method for robust detection of circadian state from gene expression. Proc Natl Acad Sci USA. 2018;115:E9247–E9256. - PMC - PubMed
    1. Möller-Levet CS, et al. Effects of insufficient sleep on circadian rhythmicity and expression amplitude of the human blood transcriptome. Proc Natl Acad Sci USA. 2013;110:E1132–E1141. - PMC - PubMed
    1. Archer SN, et al. Mistimed sleep disrupts circadian regulation of the human transcriptome. Proc Natl Acad Sci USA. 2014;111:E682–E691. - PMC - PubMed
    1. Arnardottir ES, et al. Blood-gene expression reveals reduced circadian rhythmicity in individuals resistant to sleep deprivation. Sleep (Basel) 2014;37:1589–1600. - PMC - PubMed
    1. Laing EE, Möller-Levet CS, Archer SN, Dijk D.-J. Universal and robust assessment of circadian what? Proc Natl Acad Sci USA. 2019;116:5205. - PMC - PubMed

LinkOut - more resources