Cellular heterogeneity-adjusted clonal methylation (CHALM) provides better prediction of gene expression

Xu, J.; Shi, J.; Cui, X.; Cui, Y.; Li, J.; Goel, A.; Chen, X.; Su, J.; Issa, J.-P.; Li, W.

doi:10.1101/2020.02.23.961813

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bioRxiv · 10.1101/2020.02.23.961813

Cellular heterogeneity-adjusted clonal methylation (CHALM) provides better prediction of gene expression

Xu, J.·Shi, J.·Cui, X.·Cui, Y.·Li, J.·Goel, A.·Chen, X.·Su, J.·Issa, J.-P.·Li, W.

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Abstract

Promoter DNA methylation is a well-established mechanism of transcription repression, but its global correlation with gene expression is surprisingly weak. This weak correlation is due in part to the failure of current methylation quantification methods to consider the heterogeneity among sequenced bulk cells. Here, we introduce Cell Heterogeneity-Adjusted cLonal Methylation (CHALM) as a novel methylation quantification method. CHALM better explains the functional consequences of DNA methylation, such as its correlations with gene expression and H3K4me3. When applied to different methylation datasets, the CHALM method has uniquely detected differentially methylated genes that exhibit distinct biological functions supporting underlying mechanisms.

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Xu, J., Shi, J., Cui, X., Cui, Y., Li, J., Goel, A., Chen, X., Su, J., Issa, J.-P., Li, W.. 2020-02-25. Cellular heterogeneity-adjusted clonal methylation (CHALM) provides better prediction of gene expression. https://doi.org/10.1101/2020.02.23.961813

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