DNA methylation shapes transcription factor binding beyond canonical CpG contexts
Cytosine methylation is a key epigenetic modification that regulates transcription factor (TF) binding and gene expression. While most current understanding of methylation-sensitive TF binding derives from studies focused exclusively on fully methylated CpG sites, alternative forms-such as non-CpG and hemimethylation-are increasingly recognized as widespread and functionally important, particularly in embryonic stem cells and neurons. However, the direct impact of these alternative methylation contexts on TF-DNA interactions remains poorly defined, largely because current binding assays introduce methylation enzymatically, which precludes strand-specific and position-resolved measurements. Here, we systematically profile the methylation sensitivity of 18 human TFs spanning 11 structural families using chemically synthesized DNA libraries containing position-specific 5-methylcytosines (5mC) in CpG, non-CpG, and hemimethylated contexts, measured via high-throughput protein-binding microarrays. Our results reveal extensive TF sensitivity to methylation state, position, and strand orientation, including strong binding of several TFs to non-CpG and hemimethylated sites. The presence of 5mC can dramatically alter TF-DNA interactions: transforming low-affinity sites into high-affinity ones by enabling new contacts or silencing otherwise favorable motifs through steric hindrance. Genomic analyses further show that the methylation-sensitive sequences identified in vitro are represented within enhancers and regulatory elements, exhibiting distinct methylation patterns across cell types. Together, our findings uncover a previously hidden layer of methylation-dependent TF-DNA recognition, broadening the understanding of epigenetics in transcriptional regulation.
Authors
- Ariel Afek (ORCID: https://orcid.org/0000-0001-8584-9879)
- Shira Albeck (ORCID: https://orcid.org/0000-0001-8520-7470)
- Yoav Peleg (ORCID: https://orcid.org/0000-0002-0756-8788)
- Rubén Solozabal (ORCID: https://orcid.org/0000-0001-5523-7492)
- Martin Takáč (ORCID: https://orcid.org/0000-0001-7455-2025)
- Michael O’Hagan (ORCID: https://orcid.org/0000-0003-4180-3144)
- Irina Miodownik (ORCID: https://orcid.org/0009-0001-7713-2664)
Institutions
- Abterra Biosciences (United States) (US)
- Mohamed bin Zayed University of Artificial Intelligence (AE)
- Building Research Institute (JP)
- Artificial Intelligence in Medicine (Canada) (CA)
- Weizmann Institute of Science (IL)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1073/pnas.2520814122
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00