TY - JOUR
T1 - Long reads capture simultaneous enhancer–promoter methylation status for cell-type deconvolution
AU - Margalit, Sapir
AU - Abramson, Yotam
AU - Sharim, Hila
AU - Manber, Zohar
AU - Bhattacharya, Surajit
AU - Chen, Yi Wen
AU - Vilain, Eric
AU - Barseghyan, Hayk
AU - Elkon, Ran
AU - Sharan, Roded
AU - Ebenstein, Yuval
N1 - Publisher Copyright:
© 2021 The Author(s) 2021. Published by Oxford University Press.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Motivation: While promoter methylation is associated with reinforcing fundamental tissue identities, the methylation status of distant enhancers was shown by genome-wide association studies to be a powerful determinant of cell-state and cancer. With recent availability of long reads that report on the methylation status of enhancer-promoter pairs on the same molecule, we hypothesized that probing these pairs on the single-molecule level may serve the basis for detection of rare cancerous transformations in a given cell population. We explore various analysis approaches for deconvolving cell-type mixtures based on their genome-wide enhancer-promoter methylation profiles. Results: To evaluate our hypothesis we examine long-read optical methylome data for the GM12878 cell line and myoblast cell lines from two donors. We identified over 100 000 enhancer-promoter pairs that co-exist on at least 30 individual DNA molecules. We developed a detailed methodology for mixture deconvolution and applied it to estimate the proportional cell compositions in synthetic mixtures. Analysis of promoter methylation, as well as enhancer-promoter pairwise methylation, resulted in very accurate estimates. In addition, we show that pairwise methylation analysis can be generalized from deconvolving different cell types to subtle scenarios where one wishes to resolve different cell populations of the same cell-type.
AB - Motivation: While promoter methylation is associated with reinforcing fundamental tissue identities, the methylation status of distant enhancers was shown by genome-wide association studies to be a powerful determinant of cell-state and cancer. With recent availability of long reads that report on the methylation status of enhancer-promoter pairs on the same molecule, we hypothesized that probing these pairs on the single-molecule level may serve the basis for detection of rare cancerous transformations in a given cell population. We explore various analysis approaches for deconvolving cell-type mixtures based on their genome-wide enhancer-promoter methylation profiles. Results: To evaluate our hypothesis we examine long-read optical methylome data for the GM12878 cell line and myoblast cell lines from two donors. We identified over 100 000 enhancer-promoter pairs that co-exist on at least 30 individual DNA molecules. We developed a detailed methodology for mixture deconvolution and applied it to estimate the proportional cell compositions in synthetic mixtures. Analysis of promoter methylation, as well as enhancer-promoter pairwise methylation, resulted in very accurate estimates. In addition, we show that pairwise methylation analysis can be generalized from deconvolving different cell types to subtle scenarios where one wishes to resolve different cell populations of the same cell-type.
UR - http://www.scopus.com/inward/record.url?scp=85111988156&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btab306
DO - 10.1093/bioinformatics/btab306
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C2 - 34252972
AN - SCOPUS:85111988156
SN - 1367-4803
VL - 37
SP - I327-I333
JO - Bioinformatics
JF - Bioinformatics
ER -