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Related Experiment Videos

Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis.

Alexander Meissner1, Andreas Gnirke, George W Bell

  • 1Whitehead Institute for Biomedical Research and Massachusetts Institute of Technology, Nine Cambridge Center, Cambridge, MA 02142, USA.

Nucleic Acids Research
|October 15, 2005
PubMed
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Reduced representation bisulfite sequencing (RRBS) analyzes genomic methylation. This method shows random loss of methylation in specific cells, not targeted maintenance, suggesting a new genome-wide approach.

Area of Science:

  • Epigenetics
  • Genomics
  • Molecular Biology

Background:

  • Genomic methylation patterns are crucial for cellular function.
  • DNA methyltransferases (DNMTs) play key roles in establishing and maintaining methylation.
  • Understanding methylation dynamics requires scalable and accurate analytical methods.

Purpose of the Study:

  • To introduce and validate reduced representation bisulfite sequencing (RRBS) as a large-scale method for analyzing genomic methylation.
  • To compare methylation patterns in wild-type murine ES cells with those lacking or having reduced levels of key DNA methyltransferases (Dnmt3a, Dnmt3b, Dnmt1).
  • To investigate the role of specific DNMTs in non-CpG methylation.

Main Methods:

  • Reduced representation bisulfite sequencing (RRBS) involving size-selection of BglII restriction fragments (500-600 bp), adapter ligation, bisulfite treatment, PCR amplification, cloning, and sequencing.

Related Experiment Videos

  • Construction and sequencing of RRBS libraries from murine ES cells and Dnmt-deficient/knocked-down cells (Dnmt[1(kd),3a-/-,3b-/-]).
  • Analysis of sequencing data to determine bisulfite conversion rates and identify methylated cytosines in different sequence contexts.

    • Main Results:

    • Achieved a high bisulfite conversion rate (>99.9%), indicating efficient conversion of unmethylated cytosines to uracil.
    • Observed a >250-fold reduction in non-CpG methylation in Dnmt[1(kd),3a-/-,3b-/-] cells compared to wild-type ES cells, implicating Dnmt3a/Dnmt3b in CpA and CpT methylation.
    • Found no consensus sequence or clustering around residual methylated sites, suggesting random loss of methylation rather than specific maintenance in the modified cells.

    Conclusions:

    • RRBS is a scalable and effective method for analyzing genomic methylation patterns.
    • Dnmt3a and/or Dnmt3b are primarily responsible for non-CpG methylation.
    • Methylation loss in Dnmt[1(kd),3a-/-,3b-/-] cells occurs randomly, not through a specific maintenance mechanism.