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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 20, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms.

Jose I Martin-Subero1, Ole Ammerpohl, Marina Bibikova

  • 1Institute of Human Genetics, Christian-Albrechts University, Kiel, Germany. jimartin@idibell.cat

Plos One
|September 15, 2009
PubMed
Summary

DNA methylation alterations are key in hematologic neoplasms (HNs). This study comprehensively analyzed 767 genes across 367 HNs, identifying 220 hypermethylated genes and six common targets across B-cell, T-cell, and myeloid malignancies.

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Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Area of Science:

  • Epigenetics
  • Cancer Genomics
  • Hematology

Background:

  • Aberrant DNA methylation patterns are characteristic of leukemias and lymphomas.
  • Previous epigenetic studies in hematologic neoplasms (HNs) were limited in scope, necessitating comprehensive analyses.

Purpose of the Study:

  • To conduct a comprehensive DNA methylation profiling of a wide spectrum of HNs.
  • To identify genes with aberrant DNA methylation across different HN subtypes.

Main Methods:

  • Microarray-based DNA methylation analysis of 767 genes.
  • Study included 367 HNs (16 subtypes) and 37 hematopoietic cell samples.
  • Utilized appropriate cellular controls for comparative analysis.

Main Results:

  • Identified 220 hypermethylated genes across various HN entities.
  • Promoter hypermethylation was more prevalent in lymphoid than myeloid malignancies.
  • Observed significant correlations between hyper- and hypomethylation in mature B-cell neoplasias.

Conclusions:

  • Characterized DNA methylation profiles across diverse HNs.
  • Identified six genes (DBC1, DIO3, FZD9, HS3ST2, MOS, MYOD1) significantly hypermethylated in B-cell, T-cell, and myeloid malignancies.
  • These six genes may play crucial roles in the pathogenesis of various HNs.