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Domain Model Explains Propagation Dynamics and Stability of Histone H3K27 and H3K36 Methylation Landscapes

Constance Alabert, Carolin Loos, Moritz Voelker-Albert, Simona Graziano, Ignasi Forné, Nazaret Reverón-Gómez, Lea Schuh, Jan Hasenauer, Carsten Marr, Axel Imhof, Anja Groth

2020Cell Reports85 citationsDOIOpen Access PDF

Abstract

Chromatin states must be maintained during cell proliferation to uphold cellular identity and genome integrity. Inheritance of histone modifications is central in this process. However, the histone modification landscape is challenged by incorporation of new unmodified histones during each cell cycle, and the principles governing heritability remain unclear. We take a quantitative computational modeling approach to describe propagation of histone H3K27 and H3K36 methylation states. We measure combinatorial H3K27 and H3K36 methylation patterns by quantitative mass spectrometry on subsequent generations of histones. Using model comparison, we reject active global demethylation and invoke the existence of domains defined by distinct methylation endpoints. We find that H3K27me3 on pre-existing histones stimulates the rate of de novo H3K27me3 establishment, supporting a read-write mechanism in timely chromatin restoration. Finally, we provide a detailed quantitative picture of the mutual antagonism between H3K27 and H3K36 methylation and propose that it stabilizes epigenetic states across cell division.

Topics & Concepts

HistoneChromatinEpigeneticsHistone methylationBiologyHistone methyltransferaseComputational biologyDNA methylationCell biologyEpigenomicsGeneticsDNAGene expressionGeneGenomics and Chromatin DynamicsEpigenetics and DNA MethylationRNA modifications and cancer
Domain Model Explains Propagation Dynamics and Stability of Histone H3K27 and H3K36 Methylation Landscapes | Litcius