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

Histone Modification02:32

Histone Modification

The histone proteins have a flexible N-terminal tail extending out from the nucleosome. These histone tails are often subjected to post-translational modifications such as acetylation, methylation, phosphorylation, and ubiquitination. Particular combinations of these modifications form “histone codes” that influence the chromatin folding and tissue-specific gene expression.
Acetylation
The enzyme histone acetyltransferase adds acetyl group to the histones. Another enzyme, histone deacetylase,...
Histone Modification02:32

Histone Modification

The histone proteins have a flexible N-terminal tail extending out from the nucleosome. These histone tails are often subjected to post-translational modifications such as acetylation, methylation, phosphorylation, and ubiquitination. Particular combinations of these modifications form “histone codes” that influence the chromatin folding and tissue-specific gene expression.
Acetylation
The enzyme histone acetyltransferase adds acetyl group to the histones. Another enzyme, histone deacetylase,...
Position-effect Variegation02:32

Position-effect Variegation

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.
Epigenetic Regulation01:37

Epigenetic Regulation

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...
Epigenetic Regulation01:46

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
Inheritance of Chromatin Structures03:17

Inheritance of Chromatin Structures

Epigenetics is the study of inherited changes in a cell's phenotype without changing the DNA sequences. It provides a form of memory for the differential gene expression pattern to maintain cell lineage, position-effect variegation, dosage compensation, and maintenance of chromatin structures such as telomeres and centromeres. For example, the structure and location of the centromere on chromosomes are epigenetically inherited. Its functionality is not dictated or ensured by the underlying DNA...

You might also read

Related Articles

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

Sort by
Same author

ScopeViewer: a browser-based solution for visualizing large biological images.

GigaScience·2026
Same author

MicNet: integrating spatially resolved transcriptomes and pathology images by contrastive deep neural network.

Genome biology·2026
Same author

Computational identification of migrating T cells in spatial transcriptomics data.

JCI insight·2026
Same author

BiGER: Bayesian rank aggregation in genomics with extended ranking schemes.

Nature communications·2026
Same author

Brain network classification considering directed propagation mechanisms of dynamic graphs.

Brain informatics·2026
Same author

Harnessing the gut microbiome for precision therapeutics in heart failure.

Frontiers in pharmacology·2026

Related Experiment Video

Updated: May 17, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Epigenetic change detection and pattern recognition via Bayesian hierarchical hidden Markov models.

Xinlei Wang1, Miao Zang, Guanghua Xiao

  • 1Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, USA.

Statistics in Medicine
|October 26, 2012
PubMed
Summary

This study introduces a novel Bayesian model to identify epigenetic changes in DNA, crucial for understanding diseases like psychiatric disorders. The method accurately detects alterations using spatial smoothing and information pooling, even with limited data.

More Related Videos

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Related Experiment Videos

Last Updated: May 17, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Genomics
  • Epigenetics
  • Computational Biology

Background:

  • Epigenetic modifications regulate gene expression without altering DNA sequence.
  • Epigenetic changes are increasingly linked to disease development, including psychiatric disorders.
  • High-throughput epigenetic studies generate complex, noisy, and spatially correlated data.

Purpose of the Study:

  • To develop a robust statistical model for detecting epigenetic changes from two-sample experiments.
  • To address challenges of high cost, limited replicates, and data noise in epigenetic studies.
  • To provide a method with biologically interpretable states for identifying epigenetic alterations.

Main Methods:

  • A Bayesian hierarchical model combined with a four-state hidden Markov process.
  • Modeling spatial dependence to account for correlations in epigenetic data.
  • Utilizing posterior probabilities for direct calling of epigenetic change patterns.

Main Results:

  • The proposed method demonstrates reliability and success in both simulations and real-world data analysis.
  • The model effectively detects genomic sites with epigenetic changes.
  • The four hidden Markov states offer clear biological interpretations of detected patterns.

Conclusions:

  • The developed Bayesian hierarchical model offers a powerful approach for analyzing complex epigenetic data.
  • This method enhances statistical inference through spatial smoothing and information pooling.
  • The approach is validated by its application in a cocaine addiction study, highlighting its potential for disease research.