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

Position-effect Variegation02:32

Position-effect Variegation

6.8K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
6.8K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

625
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
625
Variability: Analysis01:11

Variability: Analysis

283
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
283
Epigenetic Regulation01:46

Epigenetic Regulation

32.1K
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
32.1K
Epigenetic Regulation01:37

Epigenetic Regulation

3.4K
Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
3.4K
Epistasis Analysis01:09

Epistasis Analysis

5.5K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.5K

You might also read

Related Articles

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

Sort by
Same author

MAHLER: Integrating Metadynamics and Inverse Folding to Predict Antibody-Antigen Kinetics.

bioRxiv : the preprint server for biology·2026
Same author

Dynamical phase transition in models that couple chromatin folding with histone modifications.

Physical review. E·2024
Same author

Preserving condensate structure and composition by lowering sequence complexity.

Biophysical journal·2024
Same author

Preserving condensate structure and composition by lowering sequence complexity.

bioRxiv : the preprint server for biology·2023
Same author

Quantifying epigenetic stability with minimum action paths.

Physical review. E·2020
Same author

Characteristics of emissive spectrum and the removal of nitric oxide in N2/02/NO plasma with argon additive.

Journal of environmental sciences (China)·2009

Related Experiment Video

Updated: Nov 18, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K

Quantifying the Stability of Coupled Genetic and Epigenetic Switches With Variational Methods.

Amogh Sood1, Bin Zhang1

  • 1Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, United States.

Frontiers in Genetics
|February 8, 2021
PubMed
Summary

Histone modifications significantly impact gene regulatory networks, altering cell differentiation pathways. This study models gene regulation to reveal how these modifications shape the epigenetic landscape and influence cell-fate decisions.

Keywords:
chromatin stategene expression noisegene networkminimum actionself-regulating gene

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K
Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
09:20

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells

Published on: July 6, 2021

2.6K

Related Experiment Videos

Last Updated: Nov 18, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K
Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
09:20

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells

Published on: July 6, 2021

2.6K

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Epigenetics

Background:

  • The Waddington landscape metaphor visualizes cell development and differentiation.
  • Gene regulatory networks (GRNs) govern cell differentiation at the molecular level.
  • Histone modifications are crucial for eukaryotic gene regulation but their impact on landscape dynamics is unclear.

Purpose of the Study:

  • To develop a mathematical model of the Waddington landscape incorporating histone modifications and transcription factors.
  • To investigate how histone modification kinetics influence GRN behavior and landscape stability.
  • To understand the interplay between epigenetic factors and transcription factors in cell-fate determination.

Main Methods:

  • Introduced a minimal kinetic model for gene regulation.
  • Combined the effects of histone modifications and transcription factors.
  • Employed a variational approximation scheme to solve the master equation in a second-quantized framework.

Main Results:

  • Histone modification kinetics can qualitatively alter GRN behavior and gene expression profiles.
  • The model reveals significant changes in landscape topography and attractor state stability.
  • Demonstrated how epigenetic modifications dynamically shape the cell-fate landscape.

Conclusions:

  • Histone modifications play a critical role in defining the epigenetic landscape and guiding cell-fate decisions.
  • The developed model provides a framework for understanding the complex interplay of epigenetic and genetic factors in development.
  • This research enhances our understanding of how molecular mechanisms establish stable cell phenotypes.