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

Author:

Grau Jan1ORCID,Schmidt Florian2345ORCID,Schulz Marcel H2367ORCID

Affiliation:

1. Institute of Computer Science, Martin Luther University Halle-Wittenberg , Halle 06120, Germany

2. Goethe-University Frankfurt, Institute for Cardiovascular Regeneration , Theodor-Stern-Kai 7, 60590 Frankfurt, Germany

3. Max Planck Institute for Informatics, Saarland Informatics Campus , Saarbrücken 66123, Germany

4. Systems Biology and Data Analytics, Genome Institute of Singapore , Singapore 13862, Singapore

5. ImmunoScape Pte Ltd , Singapore 228208, Singapore

6. German Center for Cardiovascular Research, Partner site Rhein-Main , 60590 Frankfurt am Main, Germany

7. Cardio-Pulmonary Institute, Goethe University , Frankfurt am Main, Germany

Abstract

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.

Funder

German Centre for Cardiovascular Research

Cardio-Pulmonary Institute

Goethe University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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