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

4.1K
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...
4.1K
Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

38.4K
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.
38.4K

You might also read

Related Articles

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

Sort by
Same author

NEP89: universal neuroevolution potential for inorganic and organic materials across 89 elements.

Nature computational science·2026
Same author

Seconds-scale exfoliation of high-quality 2D crystals enabled by polycyclic aromatic hydrocarbon radical anion-mediated organoalkali intercalation.

Nature communications·2026
Same author

Enhancing Whole Slide Image Classification in Renal Cell Carcinoma via Swin Transformer-Based Multiple Instance Learning.

Bioengineering (Basel, Switzerland)·2026
Same author

Characterization of sexually acquired HIV-1 transmission networks and genetic variation in northern frontier China, 2021-2024.

Frontiers in public health·2026
Same author

Intermittent hypoxia induces reversible epigenetic age acceleration in old mice.

npj aging·2026
Same author

What do cancer patients discuss online regarding CINV management? A social media-based topic modeling study.

Frontiers in oncology·2026

Related Experiment Video

Updated: Sep 12, 2025

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

15.7K

EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework.

Amin Haghani1,2, Ake T Lu3,4, Qi Yan4

  • 1Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. ahaghani@altoslabs.com.

Geroscience
|August 6, 2025
PubMed
Summary
This summary is machine-generated.

EnsembleAge, a new suite of epigenetic clocks, provides more robust and consistent aging predictions in mice. This tool enhances the identification and validation of interventions targeting biological aging across species.

Keywords:
Aging biomarkersBiological ageDNA methylationEnsembleAgeEpigenetic clocksHealthspanLifespan interventionsMethylGauge datasetMouse modelsRejuvenationStress response

More Related Videos

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.2K
Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells
12:24

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

Published on: May 6, 2009

16.8K

Related Experiment Videos

Last Updated: Sep 12, 2025

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

15.7K
Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.2K
Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells
12:24

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

Published on: May 6, 2009

16.8K

Area of Science:

  • Epigenetics
  • Aging Research
  • Bioinformatics

Background:

  • Existing epigenetic clocks for mice lack robustness, yielding inconsistent aging predictions.
  • This inconsistency hinders the reliable assessment of interventions affecting biological aging.

Purpose of the Study:

  • To develop a more robust suite of epigenetic clocks for accurate aging assessment.
  • To improve the detection and validation of pro-aging and rejuvenating interventions.
  • To enable cross-species aging analyses for translational research.

Main Methods:

  • Developed EnsembleAge, an ensemble-based epigenetic clock suite.
  • Integrated predictions from multiple penalized models using data from over 200 perturbation experiments across various tissues.
  • Introduced EnsembleAge HumanMouse for cross-species analysis.

Main Results:

  • EnsembleAge demonstrated superior performance over existing clocks in identifying aging interventions.
  • The clock suite showed enhanced robustness and consistency in aging predictions.
  • EnsembleAge HumanMouse facilitates translational research by enabling mouse-to-human aging comparisons.

Conclusions:

  • EnsembleAge offers a robust and reliable tool for aging research.
  • The developed clocks can effectively identify and validate interventions that modulate biological aging.
  • EnsembleAge HumanMouse advances cross-species aging research and its translation to human studies.