Global DNA-methylation in quantitative epigenetics : orbitrap mass spectrometry

GND
1381619177
Zugehörigkeit
Department of Instrumental Analytics/Bioorganic Analytics, Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena ,Jena ,Germany
Otto, Janine F. M.;
GND
1131364872
Zugehörigkeit
Department of Instrumental Analytics/Bioorganic Analytics, Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena ,Jena ,Germany
Pohnert, Georg;
GND
132222507
Zugehörigkeit
Chemical Ecology of Cross Kingdom Interactions, Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena ,Jena ,Germany
Wichard, Thomas;
GND
137650922
Zugehörigkeit
Cluster of Excellence, Balance of the Microverse, Friedrich Schiller University Jena ,Jena ,Germany
Bauer, Michael;
GND
124369286
Zugehörigkeit
Cluster of Excellence, Balance of the Microverse, Friedrich Schiller University Jena ,Jena ,Germany
Busch, Anne;
GND
1047788152
Zugehörigkeit
Mass Spectrometry Platform, Friedrich Schiller University Jena ,Jena ,Germany
Ueberschaar, Nico

DNA methylation is the most common epigenetic modification in both prokaryotic and eukaryotic genomes. Here we present a method based on highly efficient acid-hydrolysis of DNA, liquid chromatography, and detection by mass spectrometry to accurately quantify cytosine methylation in highly methylated DNA samples. This approach enables direct, rapid, cost-efficient, and sensitive quantification of the methyl-modified nucleobase 5-methylcytosine and 6-methyl adenine, along with their unmodified nucleobases. In contrast to standard sequencing techniques, our method only gives quantitative information on the overall degree of methylation, but it requires only small amounts of DNA and is not dependent on lengthy bioinformatic analyses. Our method allows rapid, global methylome analysis and quantifies a central epigenetic marker. In a proof-of-principle study, we show that it can also be extended to the monitoring of other DNA modifications, such as methylated adenine. Uncomplicated data analysis facilitates a quick and straightforward comparison of DNA methylation across biological contexts. In a case study, we also successfully identified changes in methylation signatures in the marine macroalga Ulva mutabilis “slender”. The advantage of global methylation analysis compared to sequencing allows for generating fast prior knowledge on which sample sequencing is senseful. The great benefit of the presented method is the speed and accuracy of the global methylation analysis, which is independent of the total methylation rate and gives accurate results, whereas competitive based on enzymatic digestion might fail.

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