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Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in
Kyle A Campbell1, Justin A Colacino2,3, John Dou1
1Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Epigenetics
|December 9, 2024
Summary
We developed a DNA methylation reference to accurately estimate placental cell composition. This method improves the understanding of placental biology and disease mechanisms by distinguishing cell changes from DNA methylation variations.
Area of Science:
- Epigenetics
- Developmental Biology
- Genomics
Background:
- Distinguishing DNA methylation (DNAm) changes from cell proportion shifts is crucial for placental villous tissue research.
- Existing methods may not fully capture the complexity of placental cell composition and its impact on DNAm profiles.
Purpose of the Study:
- To develop a robust cell type-specific DNA methylation reference for estimating cell composition in whole placental villous tissue.
- To improve the accuracy of DNAm analysis in placental research by accounting for cellular heterogeneity.
Main Methods:
- Collated new and existing cell type DNAm profiles using Illumina EPIC or 450k microarrays.
- Developed a deconvolution method using robust partial correlation on top differentially methylated sites.
- Validated deconvolution performance by predicting DNAm variation components in external placental samples.
Main Results:
- Analyzed DNAm profiles from 12 distinct placental cell types.
- Estimated median cell composition consistent with known placental biology (e.g., 60.9% syncytiotrophoblast).
- The developed reference significantly outperformed an existing reference in predicting DNAm variation (MSE: 8.62 vs. 10.79, p < 0.001).
Conclusions:
- The novel cell type reference robustly estimates placental cell composition from DNAm data.
- This tool aids in identifying critical cell types, uncovering biological mechanisms, and enhancing causal inference in placental studies.
