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Related Concept Videos

Phase II Reactions: Methylation Reactions01:17

Phase II Reactions: Methylation Reactions

Methylation is a phase II biotransformation process involving the attachment of a methyl group to a substrate. Enzymes known as methyltransferases orchestrate this reaction.
The mechanism of methylation unfolds in two stages. The first stage sees a methyltransferase enzyme facilitating the transfer of a methyl group from S-adenosylmethionine (SAM) to the substrate, forming S-adenosylhomocysteine (SAH). The second stage involves further metabolism of SAH into homocysteine, which can be recycled...
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...

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Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors
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Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors

Published on: August 5, 2022

DiseaseMeth: a human disease methylation database.

Jie Lv1, Hongbo Liu, Jianzhong Su

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Nucleic Acids Research
|December 3, 2011
PubMed
Summary
This summary is machine-generated.

DiseaseMeth is a new database for human disease DNA methylation data. It aids in finding new disease biomarkers by organizing and analyzing epigenetic modification information.

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Area of Science:

  • Epigenetics
  • Genomic Regulation
  • Disease Mechanisms

Background:

  • DNA methylation is a key epigenetic modification regulating genomes and impacting disease development.
  • Discovering disease biomarkers requires integrating and analyzing DNA methylation data.
  • A comprehensive repository for human disease methylation data is currently lacking.

Purpose of the Study:

  • To develop DiseaseMeth, a centralized database for human disease DNA methylation data.
  • To facilitate efficient storage and statistical analysis of diverse methylation datasets.
  • To support the identification of novel disease biomarkers and gene-disease relationships.

Main Methods:

  • Collected and curated experimental information from over 14,000 entries and 175 high-throughput datasets.
  • Integrated gene-centric methylation data for 72 human diseases across various technologies.
  • Implemented multiple search functionalities (e.g., gene ID, disease name) for data retrieval.
  • Performed cross-dataset analysis comparing disease and normal samples.

Main Results:

  • DiseaseMeth database established, containing extensive DNA methylation data for human diseases.
  • The database incorporates data from diverse sources and platforms, including 72 diseases.
  • Supports identification of differentially methylated genes and exploration of gene-disease associations.

Conclusions:

  • DiseaseMeth provides a valuable resource for researchers studying DNA methylation in human diseases.
  • The database facilitates biomarker discovery and the investigation of epigenetic roles in disease.
  • Enables in-depth analysis of gene methylation patterns for understanding gene-disease relationships.