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Epigenetic Regulation

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 Regulation

Epigenetic Regulation

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

Epigenetic Regulation

Epigenetic Regulation

Inheritance of Chromatin Structures

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...

Histone Modification

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...

Histone Modification

Histone Modification

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Related Experiment Video

Updated: Apr 22, 2026

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Computational and experimental methods to decipher the epigenetic code.

Stefano de Pretis¹, Mattia Pelizzola¹

¹Computational Epigenomics, Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia Milan, Italy.

Frontiers in Genetics

|October 9, 2014

Summary

This summary is machine-generated.

Epigenetic marks, like histone modifications and DNA methylation, define cell states. Understanding their complex interplay is crucial for advancing epigenomic research and its applications.

Keywords:

chromatin regulators chromatin state epigenetic code epigenome editing histone code histone mark

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Related Experiment Videos

Last Updated: Apr 22, 2026

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Published on: October 8, 2017

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Area of Science:

Epigenetics and genomics
Computational biology
Cellular states

Background:

The epigenetic state of chromatin is determined by a complex interplay of marks, including histone modifications and DNA methylation.
Recent advancements have increased knowledge of combinatorial epigenetic patterns across cell types and conditions.
Computational methods aid in identifying these states and their genomic associations.

Purpose of the Study:

To review the current understanding of epigenetic mark combinations and their interplay.
To highlight the capabilities and constraints of existing computational and experimental approaches.
To propose future research directions for a deeper comprehension of epigenetic regulation.

Main Methods:

Review of current literature on epigenetics and computational biology.
Analysis of existing computational methods for identifying epigenetic states.
Discussion of experimental designs and approaches for future research.

Main Results:

Epigenetic marks exhibit combinatorial patterns associated with genomic elements and transcriptional states.
Current computational methods reveal the combinatorial nature of epigenetic marks.
The precise rules governing the interplay of multiple epigenetic marks remain largely uncharacterized.

Conclusions:

Significant progress in understanding epigenetic regulation requires integrating advanced experimental designs with current methodologies.
Further research is needed to elucidate the complex rules governing epigenetic mark interactions.
Future studies should focus on bridging the gap between computational predictions and experimental validation.