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Updated: Jul 17, 2025

Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
Published on: September 7, 2017
Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding
Jan Grau1, Florian Schmidt2,3,4,5, Marcel H Schulz2,3,6,7
1Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle 06120, Germany.
Abstract:
Several studies suggested that transcription factor (TF) binding to DNA may be impaired or enhanced by DNA methylation. We present MeDeMo, a toolbox for TF motif analysis that combines information about DNA methylation with models capturing intra-motif dependencies. In a large-scale study using ChIP-seq data for 335 TFs, we identify novel TFs that show a binding behaviour associated with DNA methylation. Overall, we find that the presence of CpG methylation decreases the likelihood of binding for the majority of methylation-associated TFs. For a considerable subset of TFs, we show that intra-motif dependencies are pivotal for accurately modelling the impact of DNA methylation on TF binding. We illustrate that the novel methylation-aware TF binding models allow to predict differential ChIP-seq peaks and improve the genome-wide analysis of TF binding. Our work indicates that simplistic models that neglect the effect of DNA methylation on DNA binding may lead to systematic underperformance for methylation-associated TFs.
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