Sequence features accurately predict genome-wide MeCP2 binding in vivo

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Abstract

Methyl-CpG binding protein 2 (MeCP2) is critical for proper brain development and expressed at near-histone levels in neurons, but the mechanism of its genomic localization remains poorly understood. Using high-resolution MeCP2-binding data, we show that DNA sequence features alone can predict binding with 88% accuracy. Integrating MeCP2 binding and DNA methylation in a probabilistic graphical model, we demonstrate that previously reported genome-wide association with methylation is in part due to MeCP2"™ s affinity to GC-rich chromatin, a result replicated using published data. Furthermore, MeCP2 co-localizes with nucleosomes. Finally, MeCP2 binding downstream of promoters correlates with increased expression in Mecp2-deficient neurons.

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Rube, H. T., Lee, W., Hejna, M., Chen, H., Yasui, D. H., Hess, J. F., … Gong, Q. (2016). Sequence features accurately predict genome-wide MeCP2 binding in vivo. Nature Communications, 7. https://doi.org/10.1038/ncomms11025

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