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Sequence features accurately predict genome-wide MeCP2 binding in vivo.

  • Author(s): Rube, H Tomas
  • Lee, Wooje
  • Hejna, Miroslav
  • Chen, Huaiyang
  • Yasui, Dag H
  • Hess, John F
  • LaSalle, Janine M
  • Song, Jun S
  • Gong, Qizhi
  • et al.

Published Web Location

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820824/
No data is associated with this publication.
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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