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Related Experiment Video

Updated: Jun 16, 2025

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
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Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing.

Amy Longtin1,2, Marina M Watowich1,2, Baptiste Sadoughi3,4

  • 1Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.

Plos Genetics
|May 22, 2025
PubMed
Summary
This summary is machine-generated.

We optimized Targeted Methylation Sequencing (TMS) for cost-effective, population-scale DNA methylation studies. This method shows strong agreement with existing technologies and works across multiple species, enabling broader genomic research.

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Area of Science:

  • Genomics and Epigenetics
  • Evolutionary Biology
  • Geroscience

Background:

  • DNA methylation profiling is crucial for understanding evolution, development, and disease.
  • Whole-genome methylation studies are expensive; reduced representation methods are needed.
  • Existing methods like bisulfite conversion can damage DNA and introduce biases.

Purpose of the Study:

  • To optimize the Targeted Methylation Sequencing (TMS) protocol for cost-effectiveness, miniaturization, and multispecies application.
  • To benchmark the optimized TMS protocol against established DNA methylation profiling techniques.
  • To assess the utility of TMS for population-scale epigenomic studies.

Main Methods:

  • Modified the Targeted Methylation Sequencing (TMS) protocol by increasing multiplexing, reducing DNA input, and using enzymatic fragmentation.
  • Compared TMS to Infinium MethylationEPIC BeadChip and whole genome bisulfite sequencing using paired human samples.
  • Applied the optimized TMS protocol to DNA from three non-human primate species.

Main Results:

  • Optimized TMS demonstrated high throughput and reduced costs.
  • TMS showed strong agreement with MethylationEPIC BeadChip (R²=0.97) and whole genome bisulfite sequencing (R²=0.99).
  • In non-human primates, TMS captured 77.1% of targeted CpGs with high concordance (R²=0.98) to other methods.

Conclusions:

  • The optimized TMS protocol is a cost-effective, reliable method for population-scale DNA methylation analysis.
  • TMS is suitable for diverse species, facilitating comparative epigenomic studies.
  • This approach enables robust estimation of epigenetic age and tissue-specific methylation patterns.