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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

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...

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Related Experiment Video

Updated: Jul 7, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Predicting DNA methylation susceptibility using CpG flanking sequences.

S Kim¹, M Li, H Paik

¹School of Informatics, 2 Center for Genomics and Bioinformatics, 3 Medical Sciences, Indiana University, Bloomington, IN 47408, USA. sunkim2@indiana.edu

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

|January 31, 2008

Summary

This summary is machine-generated.

Predicting DNA methylation levels is now possible using flanking sequences. This study developed models with up to 75% accuracy, advancing our understanding of DNA modifications in cancer.

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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Area of Science:

Epigenetics
Genomics
Cancer Biology

Background:

DNA methylation, a key epigenetic modification, involves adding a methyl group to cytosine.
CpG dinucleotides are generally methylated, except in CpG islands, which are crucial regulatory regions.
Aberrant DNA methylation patterns, including global hypomethylation and CpG island hypermethylation, are hallmarks of cancer, often leading to tumor suppressor gene inactivation.

Purpose of the Study:

To investigate the potential of DNA sequences flanking CpG sites for predicting DNA methylation levels.
To develop predictive models for DNA methylation susceptibility based on sequence characteristics.
To explore DNA methylation patterns in leukemia and lymphoma cells.

Main Methods:

Utilized high-throughput sequencing (454) on bisulfite-treated DNA from leukemia, lymphoma, and normal lymphocytes.
Measured DNA methylation levels at individual CpG sites.
Analyzed 30 bp flanking sequences for character composition to build predictive models.

Main Results:

Developed predictive models for DNA methylation susceptibility using flanking CpG sequences.
Achieved up to 75% prediction accuracy in 10-fold cross-validation tests.
Demonstrated that sequence composition around CpG sites is informative for predicting methylation status.

Conclusions:

Sequences flanking CpG sites can be effectively used to predict DNA methylation levels.
This approach offers a novel method for understanding and predicting epigenetic modifications in cancer.
The study provides the first predictive models for methylation susceptibility based on CpG site-specific methylation levels.