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Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models.

Jan GrauFlorian SchmidtMarcel H Schulz
Published in: Nucleic acids research (2023)
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.
Keyphrases
  • dna methylation
  • genome wide
  • dna binding
  • transcription factor
  • gene expression
  • copy number
  • healthcare
  • electronic health record
  • big data
  • deep learning
  • cell free