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Related Experiment Video

Updated: Jun 14, 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 Longtin, Marina M Watowich, Baptiste Sadoughi

    Biorxiv : the Preprint Server for Biology
    |September 24, 2024
    PubMed
    Summary

    A new Targeted Methylation Sequencing (TMS) protocol offers a cost-effective way to study DNA methylation across populations. This optimized method provides accurate results comparable to expensive techniques, enabling large-scale genomic research.

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    Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

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    Area of Science:

    • Genomics
    • Epigenetics
    • Evolutionary Biology

    Background:

    • DNA methylation profiling is crucial for evolutionary biology, geroscience, and medical genomics.
    • Whole-genome methylation analysis is often too expensive for population studies.
    • Existing reduced representation methods using bisulfite conversion can cause DNA damage and bias.

    Purpose of the Study:

    • To optimize and benchmark the Targeted Methylation Sequencing (TMS) protocol for cost-effective, population-scale DNA methylation studies.
    • To evaluate TMS performance against established methods like MethylationEPIC BeadChip and whole genome bisulfite sequencing.
    • To assess the applicability of TMS in non-human primates and diverse human populations.

    Main Methods:

    • Optimized the Targeted Methylation Sequencing (TMS) protocol for miniaturization and cost reduction (targeting ~4 million CpG sites at ~$80).
    • Increased throughput via multiplexing, reduced DNA input, and enzymatic fragmentation.
    • Compared TMS to Infinium MethylationEPIC BeadChip (n=55) and whole genome bisulfite sequencing (n=6).
    • Validated TMS in three non-human primate species and two human subsistence populations.

    Main Results:

    • Optimized TMS showed strong agreement with MethylationEPIC BeadChip (R² = 0.97) and whole genome bisulfite sequencing (R² = 0.99).
    • Achieved high CpG site capture (mean=77.1%) in non-human primates, with methylation estimates agreeing with reduced representation bisulfite sequencing (R² = 0.98).
    • Identified age-associated DNA methylation patterns in human populations consistent with high-income cohorts.

    Conclusions:

    • The optimized TMS protocol is a validated, cost-effective, and accurate method for population-scale DNA methylation analysis.
    • TMS is suitable for multispecies applications, including human and non-human primates.
    • This protocol facilitates large-scale studies of epigenomic variation and its association with aging and lifestyle across diverse populations.