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Identification of methylation-sensitive human transcription factors using meSMiLE-seq
Antoni J Gralak1,2, Katerina Faltejskova3,4, Ally W H Yang5
1Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Biorxiv : the Preprint Server for Biology
|November 28, 2024
Summary
Researchers identified new DNA binding motifs for 98 human transcription factors (TFs) using SMiLE-seq and meSMiLE-seq. This expands our understanding of gene regulation and how DNA modifications affect TF binding.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Transcription factors (TFs) are crucial for gene regulation, but their DNA binding specificities are often unknown.
- Understanding TF binding is essential for deciphering complex gene regulatory networks.
Purpose of the Study:
- To identify novel DNA binding motifs for poorly characterized human transcription factors.
- To investigate the impact of DNA methylation on transcription factor binding preferences.
- To develop and apply microfluidics-based assays for quantitative analysis of TF-DNA interactions.
Main Methods:
- Selective microfluidics-based ligand enrichment followed by sequencing (SMiLE-seq) was used to assay DNA binding motifs for 284 human TFs.
- Methylation-sensitive SMiLE-seq (meSMiLE-seq) was developed to simultaneously probe TF affinity to methylated and unmethylated DNA.
- 114 TFs were assayed using meSMiLE-seq to identify methylation-aware binding sites.
Main Results:
- 72 new DNA binding motifs were identified for human TFs using SMiLE-seq.
- meSMiLE-seq identified DNA-binding models for 48 TFs, including 11 showing preference for methylated DNA and 13 showing aversion.
- A potential role for ZHX2 in binding Z-DNA, which is associated with CpG methylation, was uncovered.
Conclusions:
- This study significantly expands the human TF codebook by identifying DNA binding motifs for 98 TFs.
- The developed meSMiLE-seq platform provides a versatile tool to quantitatively assess how DNA modifications influence TF binding.
- Findings offer new insights into epigenetic regulation and TF-mediated gene control.

