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Related Experiment Videos

Don't brush off buccal data heterogeneity.

Andrei L Turinsky1,2, Darci T Butcher3, Sanaa Choufani1

  • 1a Program in Genetics and Genome Biology , The Hospital for Sick Children , Toronto , Ontario , Canada.

Epigenetics
|March 2, 2019
PubMed
Summary

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This summary is machine-generated.

Buccal epithelial cell DNA methylation studies face quality issues due to cell-type variation. A new method corrects for buccal purity, reducing noise while preserving epigenetic differences for better disease pattern identification.

Area of Science:

  • Epigenetics
  • Molecular Biology
  • Genomics

Background:

  • Buccal epithelial cells are accessible for epigenetic studies.
  • DNA methylation in buccal cells is used for disease pattern identification.
  • Cell-type heterogeneity in buccal samples raises data quality concerns.

Purpose of the Study:

  • To systematically assess cell-type composition in buccal and saliva samples.
  • To identify factors affecting buccal sample purity.
  • To develop a method for correcting buccal purity in epigenetic studies.

Main Methods:

  • Systematic estimation of cell-type composition in buccal and saliva samples from 11 studies.
  • Analysis of factors influencing buccal sample purity, including neurodevelopmental disorders and collection brushes.
Keywords:
DNA methylationEpigeneticsbuccal epithelial cellstissue heterogeneity

Related Experiment Videos

  • Development of a reference-based method for buccal purity correction.

    • Main Results:

    • Identified significant variation and questionable purity in numerous buccal samples.
    • Found that neurodevelopmental disorders and collection methods can impact buccal purity.
    • Demonstrated that the proposed method reduces unwanted variation and preserves cross-tissue differences.

    Conclusions:

    • Buccal sample quality in epigenetic studies varies widely.
    • The proposed reference-based method offers a way to overcome buccal purity challenges.
    • Improved buccal sample quality can enhance the reliability of epigenetic disease pattern identification.