DNA Methylation Analysis

ILLU_0298_GG_Epigenetics
Pyrosequencing in epigenetics research
  • Main Image Navi
The study of epigenetic mechanisms has become increasingly prevalent in disciplines ranging from cancer research to genetic imprinting and biomarker development. Pyrosequencing provides accurate and detailed profiles of DNA methylation patterns underlying cell cycle regulation, differential gene expression, and epigenetic effects. Now, the recently launched PyroMark Q24 Advanced system makes it easy to quantify methylation at non-CpG (CpN) sites commonly found in embryonic stem cells and plants, expanding the application range of this powerful technique.
Benefits of Pyrosequencing
Precise and quantitative methylation analysis
Valuable quality control of bisulfite conversion
Flexible analysis of methylation patterns
Quantification of methylation at non-CpG (CpN) sites
Quantification of methylation at any sequence position
Benefits of Pyrosequencing
Pyrosequencing facilitates accurate DNA methylation analysis by:
  • Quantifying methylation in explicit sequence context
  • Measuring methylation status of individual and multiple CpG or non-CpG (CpN) sites
  • Permitting rapid, easy, and high-throughput analysis of methylation
  • Incorporating internal controls to confirm complete bisulfite treatment
Precise and quantitative methylation analysis
Standard methylation analysis methods provide only qualitative or semi-quantitative data, which can lead to inaccurate conclusions regarding the effects of epigenetic DNA methylation on cell cycle and metabolism. Without quantification of methylation levels, it is not possible to distinguish physiologically relevant methylation from background methylation.

Pyrosequencing solves this limitation by generating highly reproducible quantification of methylation frequencies at individual consecutive CpG sites (see figures Pyrosequencing analysis of CpG methylation pattern in the RASSF1A gene and Linearity of methylation quantification by Pyrosequencing). As such, Pyrosequencing can detect and quantify even small changes in methylation levels. Other valuable features include the inherent quality control afforded by the sequence context of results and the ability to compare results to expected methylation levels. Built-in controls for the bisulfite treatment eliminate manual estimation of non-converted DNA levels and prevent false-positive methylation detection, thereby ensuring the reliability of results.
 
These features have established Pyrosequencing as the gold standard for DNA methylation analysis. This technology has been used to correlate DNA methylation to tumor type and gene expression, to measure cellular response to treatment with demethylating agents, and to assess changes in methylation state in relation to tumorigenesis, genetic imprinting, and exposure to environmental toxins (1).

Back to top
Valuable quality control of bisulfite conversion
To characterize the methylation status of a DNA sequence via Pyrosequencing, the DNA is first incubated with sodium bisulfite. As a result, unmethylated cytosine residues are converted into uracil while methylated cytosines remain unchanged, giving rise to two different sequences that can be distinguished. An internal control for bisulfite treatment is incorporated into analysis. Cytosines that are not followed by guanine in template sequences are not methylated, and should therefore be converted to thymine by bisulfite treatment and PCR (see table Sequences resulting from bisulfite conversion and PCR). Full bisulfite conversion is confirmed if all templates show thymine and no cytosine in these positions. With unique DNA Protect technology, QIAGEN EpiTect Bisulfite Kits facilitate complete conversion and minimal degradation of the treated DNA.

Sequences resulting from bisulfite conversion and PCR
  Original sequence After bisulfite treatment After PCR amplification
Unmethylated DNA A-C-G-T-C-G-T-C-A A-U-G-T-U-G-T-U-A A-T-G-T-T-G-T-T-A
Methylated DNA A-C-G-T-C-G-T-C-A A-C-G-T-C-G-T-U-A A-C-G-T-C-G-T-T-A
Back to top
Flexible analysis of methylation patterns
The analysis of methylation status exploits the quantitative nature of Pyrosequencing data. Unlike Sanger sequencing, the peak heights in the resulting Pyrogram report the ratio of cytosine to thymine at each analyzed CpG site, which reflects the proportion of methylated DNA. Assay design is flexible — it can be performed in forward or reverse orientations, on either the top or the bottom strands. In addition, contiguous CpG sites are analyzed independently and within the same run, which enables assessment of sequence-wide methylation patterns while retaining details of position specific methylation (see figure Analysis of 16 CpG sites in a long sequence run). 

Back to top
Quantification of methylation at non-CpG (CpN) sites
The new CpN mode of the PyroMark Q24 Advanced system now enables methylation analysis of cytosine residues that are not part of CpG sites. Analysis of CpN and CpG sites can be performed together in a single Pyrosequencing reaction. Each of these positions can be selected individually in the software during the run setup. This example shows the analysis of a sequence with a CpN site (CpA in this case) in the first position, followed by 2 classical CpG sites (see figure New mode for analyzing CpN methylation). 

Back to top
Quantification of methylation at any sequence position
Previously, analysis of methylation sites further away from the sequencing primer could be uncertain, but now with longer read lengths and higher accuracy of the PyroMark Q24 Advanced system, methylation quantification is highly reliable throughout the entire sequencing run. Bisulfite conversion in DNA methylation analysis leads to frequent poly T stretches in the nucleotide sequence, and analysis of CpG sites directly after such T homopolymers has previously been challenging due to uncertain quantification of the light signal at these sites. The increased accuracy of PyroMark Q24 Advanced enables reliable quantification of CpG methylation behind and even within a stretch of 8 T nucleotides (see figure Methylation quantification in homopolymers).
 
References
  1. Dejeux, E., El abdalaoui, H., Gut, I.G., and Tost, J. (2009) Identification and quantification of differentially methylated loci by Pyrosequencing Technology. Methods Mol. Biol. 507, 189.

Resources

You are not authorized to download the resource