↓ Skip to main content

Tuning the Mammalian Circadian Clock: Robust Synergy of Two Loops

Overview of attention for article published in PLoS Computational Biology, December 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
179 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tuning the Mammalian Circadian Clock: Robust Synergy of Two Loops
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002309
Pubmed ID
Authors

Angela Relógio, Pal O. Westermark, Thomas Wallach, Katja Schellenberg, Achim Kramer, Hanspeter Herzel

Abstract

The circadian clock is accountable for the regulation of internal rhythms in most living organisms. It allows the anticipation of environmental changes during the day and a better adaptation of physiological processes. In mammals the main clock is located in the suprachiasmatic nucleus (SCN) and synchronizes secondary clocks throughout the body. Its molecular constituents form an intracellular network which dictates circadian time and regulates clock-controlled genes. These clock-controlled genes are involved in crucial biological processes including metabolism and cell cycle regulation. Its malfunction can lead to disruption of biological rhythms and cause severe damage to the organism. The detailed mechanisms that govern the circadian system are not yet completely understood. Mathematical models can be of great help to exploit the mechanism of the circadian circuitry. We built a mathematical model for the core clock system using available data on phases and amplitudes of clock components obtained from an extensive literature search. This model was used to answer complex questions for example: how does the degradation rate of Per affect the period of the system and what is the role of the ROR/Bmal/REV-ERB (RBR) loop? Our findings indicate that an increase in the RNA degradation rate of the clock gene Period (Per) can contribute to increase or decrease of the period--a consequence of a non-monotonic effect of Per transcript stability on the circadian period identified by our model. Furthermore, we provide theoretical evidence for a potential role of the RBR loop as an independent oscillator. We carried out overexpression experiments on members of the RBR loop which lead to loss of oscillations consistent with our predictions. These findings challenge the role of the RBR loop as a merely auxiliary loop and might change our view of the clock molecular circuitry and of the function of the nuclear receptors (REV-ERB and ROR) as a putative driving force of molecular oscillations.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 2 1%
Chile 2 1%
Switzerland 1 <1%
France 1 <1%
Portugal 1 <1%
Italy 1 <1%
Germany 1 <1%
Czechia 1 <1%
Other 1 <1%
Unknown 180 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 21%
Researcher 34 18%
Student > Master 29 15%
Student > Bachelor 21 11%
Student > Doctoral Student 13 7%
Other 24 12%
Unknown 33 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 36%
Biochemistry, Genetics and Molecular Biology 33 17%
Medicine and Dentistry 12 6%
Engineering 9 5%
Physics and Astronomy 7 4%
Other 27 14%
Unknown 37 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2011.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#8,567
of 8,960 outputs
Outputs of similar age
#227,998
of 249,049 outputs
Outputs of similar age from PLoS Computational Biology
#106
of 116 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 249,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.