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


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
13 Oct 2023
Historique:
accepted: 10 08 2023
revised: 20 07 2023
received: 01 03 2022
pubmed: 31 8 2023
medline: 31 8 2023
entrez: 31 8 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37650641
pii: 7256990
doi: 10.1093/nar/gkad693
pmc: PMC10570048
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e95

Subventions

Organisme : German Centre for Cardiovascular Research
ID : 81Z0200101
Organisme : Cardio-Pulmonary Institute
ID : 390649896
Organisme : Goethe University

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Auteurs

Jan Grau (J)

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

Florian Schmidt (F)

Goethe-University Frankfurt, Institute for Cardiovascular Regeneration, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken 66123, Germany.
Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore 13862, Singapore.
ImmunoScape Pte Ltd, Singapore 228208, Singapore.

Marcel H Schulz (MH)

Goethe-University Frankfurt, Institute for Cardiovascular Regeneration, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken 66123, Germany.
German Center for Cardiovascular Research, Partner site Rhein-Main, 60590 Frankfurt am Main, Germany.
Cardio-Pulmonary Institute, Goethe University, Frankfurt am Main, Germany.

Classifications MeSH