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Related Concept Videos

Epigenetic Regulation01:46

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

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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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Genome-wide DNA methylation profiling in chronic lymphocytic leukaemia.

Qiuyi Zhang1, Ying Gao1,2, Shuchun Lin1

  • 1CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

Frontiers in Genetics
|January 30, 2023
PubMed
Summary

DNA methylation patterns are altered in chronic lymphocytic leukemia (CLL) B cells, with significant differences observed in genes like ZAP70, FMOD, and ADAMTS17. This study identified numerous differentially methylated positions and genes, revealing methylation heterogeneity and links to B cell maturation.

Keywords:
CD19+ B cellsDNA methyaltionchronic lymphocytic leukaemia (CLL)differentially methylated and expressed genes (DMEGs)illumina 450 K beadchip methylation array

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Area of Science:

  • * Epigenetics and Cancer Genomics
  • * Hematologic Malignancies
  • * Molecular Biology

Background:

  • * Aberrant DNA methylation is prevalent in malignant B lymphocytes of chronic lymphocytic leukemia (CLL) patients.
  • * These methylation changes suggest a potential role in CLL pathogenesis.
  • * Understanding these epigenetic alterations is crucial for elucidating CLL development.

Purpose of the Study:

  • * To identify differentially methylated positions (DMPs) associated with CLL.
  • * To screen for differentially methylated and expressed genes (DMEGs) by integrating public databases.
  • * To analyze methylation heterogeneity in CLL subgroups and the impact of B cell maturation on CLL.

Main Methods:

  • * Genome-wide DNA methylation analysis using the Infinium HumanMethylation450 BeadChip on CD19+ B cells from 48 CLL cases and 28 healthy controls.
  • * Integration of methylation and public RNA sequencing data to identify DMEGs.
  • * Application of Support Vector Machine (SVM) algorithm for methylation-based CLL subgroup classification.

Main Results:

  • * Identification of 34,797 genome-wide DMPs in CLL, predominantly hypomethylated and located in gene bodies.
  • * Detection of 26,244 replicated DMPs linked to 1,130 genes with significantly different expression in CLL.
  • * Classification of CLL cases into 3 subgroups based on methylation patterns; over 92% of B cell subtype CpGs found in CLL DMPs.

Conclusions:

  • * Altered genome-wide DNA methylation patterns characterize CLL patients.
  • * Significant methylation differences in ZAP70, FMOD, and ADAMTS17 between CLL cases and controls.
  • * Further research is needed to validate findings and understand the mechanisms of these methylation markers in CLL.