FB2026_03 , released September 17, 2026
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Citation
Lundkvist, M.J., Lizana, L., Schwartz, Y.B. (2023). Forecasting histone methylation by Polycomb complexes with minute-scale precision.  Sci. Adv. 9(51): eadj8198.
FlyBase ID
FBrf0258390
Publication Type
Research paper
Abstract
Animals use the Polycomb system to epigenetically repress developmental genes. The repression requires trimethylation of lysine 27 of histone H3 (H3K27me3) by Polycomb Repressive Complex 2 (PRC2), but the dynamics of this process is poorly understood. To bridge the gap, we developed a computational model that forecasts H3K27 methylation in Drosophila with high temporal resolution and spatial accuracy of contemporary experimental techniques. Using this model, we show that pools of methylated H3K27 in dividing cells are defined by the effective concentration of PRC2 and the replication frequency. We find that the allosteric stimulation by preexisting H3K27me3 makes PRC2 better in methylating developmental genes as opposed to indiscriminate methylation throughout the genome. Applied to Drosophila development, our model argues that, in this organism, the intergenerationally inherited H3K27me3 does not "survive" rapid cycles of embryonic chromatin replication and is unlikely to transmit the memory of epigenetic repression to the offspring. Our model is adaptable to other organisms, including mice and humans.
PubMed ID
PubMed Central ID
PMC10745708 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Sci. Adv.
    Title
    Science advances
    ISBN/ISSN
    2375-2548
    Data From Reference
    Genes (3)