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Related Concept Videos

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.
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.

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Epigenetic biomarker development.

Christoph Bock1

  • 1Max-Planck-Institut für Informatik, Saarbrücken, Germany. cbock@mpi-inf.mpg.de.

Epigenomics
|November 30, 2011
PubMed
Summary
This summary is machine-generated.

Epigenetic biomarkers offer a stable yet adaptable way to monitor cellular states for personalized medicine. This work presents a systematic approach and bioinformatics tools for developing these crucial diagnostic and therapeutic markers.

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Area of Science:

  • Genomics and Molecular Biology
  • Biomedical Science
  • Bioinformatics

Background:

  • Epigenetic mechanisms regulate gene expression with stability and plasticity.
  • Epigenetic information is valuable for personalized medicine and understanding diseases like cancer.
  • Epigenetic alterations are implicated in common diseases, including cancer and autoimmune disorders.

Purpose of the Study:

  • To outline a systematic approach for epigenetic biomarker development.
  • To highlight bioinformatics tools for discovering, optimizing, and validating epigenetic biomarkers.
  • To advance the use of epigenetic biomarkers in clinical treatment and drug discovery.

Main Methods:

  • Systematic review of epigenetic biomarker development strategies.
  • Identification and evaluation of key bioinformatics tools.
  • Focus on assays for diagnosis, prognosis, and therapy optimization.

Main Results:

  • A structured framework for epigenetic biomarker development is proposed.
  • Essential bioinformatics tools for each stage of biomarker development are identified.
  • The approach facilitates the discovery and validation of novel epigenetic biomarkers.

Conclusions:

  • Epigenetic biomarkers are crucial for personalized medicine and disease management.
  • The presented systematic approach and bioinformatics tools streamline biomarker development.
  • This work supports the clinical application of epigenetic biomarkers in diagnosis and therapy.