Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

4.2K
The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
4.2K
Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

39.4K
The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
39.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimization of experimental designs for biological rhythm discovery.

PLoS computational biology·2025
Same author

A mathematical model for the role of dopamine-D2 self-regulation in the production of ultradian rhythms.

PLoS computational biology·2024
Same author

Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways.

IET systems biology·2023
Same author

High Sensitivity of the Circadian Clock in the Hippocampal Dentate Gyrus to Glucocorticoid- and GSK3-Beta-Dependent Signals.

Neuroendocrinology·2021
Same author

Targeted modification of the Per2 clock gene alters circadian function in mPer2luciferase (mPer2Luc) mice.

PLoS computational biology·2021
Same author

Removing Short Wavelengths From Polychromatic White Light Attenuates Circadian Phase Resetting in Rats.

Frontiers in neuroscience·2019
Same journal

IL-6 Trans-Signaling Is Critical for Integrating Circadian Rhythms and Neuroimmune Responses to LPS Challenge in Mice.

Journal of biological rhythms·2026
Same journal

The Ontogeny of Rhythms in Circadian Clock Gene Expression in Mouse Brain and Neuroimmune Tissues.

Journal of biological rhythms·2026
Same journal

Biological Rhythms in Coronavirus Pneumonia Pathogenesis.

Journal of biological rhythms·2026
Same journal

On Fealty and Fencers in Science.

Journal of biological rhythms·2026
Same journal

GIGEM (Group Isolation Gauge Effect Metrics), a Software Suite for Analyzing Social Isolation-induced Sleep Loss and Multi-batch Experiments in <i>Drosophila</i>.

Journal of biological rhythms·2026
Same journal

Defining Clock Neurons Within Distributed Circadian Circuits Through Multiscale Technologies.

Journal of biological rhythms·2026
See all related articles

Related Experiment Video

Updated: Sep 25, 2025

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents
05:46

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Published on: January 24, 2013

21.5K

A Phenomenological Mouse Circadian Pacemaker Model.

Federico Cao1, Martin R Ralph2, Adam R Stinchcombe1

  • 1Department of Mathematics, University of Toronto, Toronto, ON, Canada.

Journal of Biological Rhythms
|April 29, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a new mathematical model for mouse circadian rhythms, adapting the human Kronauer model. This tool helps interpret mouse biological clock experiments and accounts for data variability across studies and strains.

Keywords:
circadian pacemakermouseparameter estimationphase response curvephenomenological model

More Related Videos

In Vitro Bioluminescence Assay to Characterize Circadian Rhythm in Mammary Epithelial Cells
11:56

In Vitro Bioluminescence Assay to Characterize Circadian Rhythm in Mammary Epithelial Cells

Published on: September 28, 2017

9.9K
Manipulation of Rhythmic Food Intake in Mice Using a Custom-Made Feeding System
07:34

Manipulation of Rhythmic Food Intake in Mice Using a Custom-Made Feeding System

Published on: December 16, 2022

2.4K

Related Experiment Videos

Last Updated: Sep 25, 2025

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents
05:46

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Published on: January 24, 2013

21.5K
In Vitro Bioluminescence Assay to Characterize Circadian Rhythm in Mammary Epithelial Cells
11:56

In Vitro Bioluminescence Assay to Characterize Circadian Rhythm in Mammary Epithelial Cells

Published on: September 28, 2017

9.9K
Manipulation of Rhythmic Food Intake in Mice Using a Custom-Made Feeding System
07:34

Manipulation of Rhythmic Food Intake in Mice Using a Custom-Made Feeding System

Published on: December 16, 2022

2.4K

Area of Science:

  • Chronobiology
  • Mathematical modeling
  • Animal physiology

Background:

  • Mathematical models are crucial for understanding biological clocks in chronobiology.
  • The Kronauer model is widely used for human circadian studies but lacks a rodent equivalent.
  • Significant variability in mouse circadian data necessitates adaptable models.

Purpose of the Study:

  • To develop a Kronauer-like mathematical model for nocturnal rodents, specifically mice.
  • To establish parameter ranges that accommodate experimental data variability within and across mouse strains.
  • To create a tool for interpreting mouse circadian rhythm experiments.

Main Methods:

  • Re-fitting parameters of the Kronauer model using published mouse phase response curve and period data.
  • Employing total least squares for parameter estimation.
  • Conducting local parameter sensitivity analysis and parameter distribution analysis.

Main Results:

  • A Kronauer-like model for mice was successfully developed, incorporating parameter ranges for data variability.
  • The model demonstrated the ability to simulate circadian responses in mice.
  • Adjustments were needed for different mouse strains, indicating the model's sensitivity to core rhythm control processes.

Conclusions:

  • The developed model provides a valuable tool for analyzing mouse circadian clock experiments.
  • The model's adaptability highlights its utility in understanding strain-specific differences in circadian regulation.
  • This work bridges a gap in mathematical modeling for rodent chronobiology research.