Evidence map›Paper›PMID 24806939›Full record

ArticleBiophysical journal2014

Molecular mechanisms that regulate the coupled period of the mammalian circadian clock.

Jae Kyoung Kim, Zachary P Kilpatrick, Matthew R Bennett, Krešimir Josić

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
  2. Stoichiometric balance and sustained rhythms.Journal of mathematical biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Collective Oscillations in Coupled-Cell Systems.Bulletin of mathematical biology · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jae Kyoung KimMathematical Biosciences Institute, The Ohio State University, Columbus, Ohio. Electronic address: kim.5052@mbi.osu.edu.
Zachary P KilpatrickDepartment of Mathematics, University of Houston, Houston, Texas.
Matthew R BennettDepartment of Biochemistry & Cell Biology, Rice University, Houston, Texas; Institute of Biosciences and Bioengineering, Rice University, Houston, Texas.
Krešimir JosićDepartment of Mathematics, University of Houston, Houston, Texas; Department of Biology and Biochemistry, University of Houston, Houston, Texas. Electronic address: josic@math.uh.edu.

Funding

Experimental and mathematical analysis of delay in transcripitional signalingR01GM104974 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R. · 2012 to 2016
$1.4M
NIGMS NIH HHS R01 GM104974NIGMS NIH HHS R01GM104974
6 · The paper itself

Abstract

In mammals, most cells in the brain and peripheral tissues generate circadian (∼24 h) rhythms autonomously. These self-sustained rhythms are coordinated and entrained by a master circadian clock in the suprachiasmatic nucleus (SCN). Within the SCN, the individual rhythms of each neuron are synchronized through intercellular signaling. One important feature of SCN is that the synchronized period is close to the population mean of cells' intrinsic periods. In this way, the synchronized period of the SCN stays close to the periods of cells in peripheral tissues. This is important because the SCN must entrain cells throughout the body. However, the mechanism that drives the period of the coupled SCN cells to the population mean is not known. We use mathematical modeling and analysis to show that the mechanism of transcription repression in the intracellular feedback loop plays a pivotal role in regulating the coupled period. Specifically, we use phase response curve analysis to show that the coupled period within the SCN stays near the population mean if transcriptional repression occurs via protein sequestration. In contrast, the coupled period is far from the mean if repression occurs through highly nonlinear Hill-type regulation (e.g., oligomer- or phosphorylation-based repression), as widely assumed in previous mathematical models. Furthermore, we find that the timescale of intercellular coupling needs to be fast compared to that of intracellular feedback to maintain the mean period. These findings reveal the important relationship between the intracellular transcriptional feedback loop and intercellular coupling. This relationship explains why transcriptional repression appears to occur via protein sequestration in multicellular organisms, mammals, and Drosophila, in contrast with the phosphorylation-based repression in unicellular organisms and syncytia. That is, transition to protein sequestration is essential for synchronizing multiple cells with a period close to the population mean (∼24 h).

Indexed as

Gene Expression RegulationMammalsModels, BiologicalAnimalsCircadian ClocksFeedback, PhysiologicalIntracellular SpaceSingle-Cell AnalysisSuprachiasmatic NucleusTranscription, Genetic

Identifiers

PMID24806939
PMCPMC4017850

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.