Dataset Information

High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins (ETS1 and RUNX1)

ABSTRACT: Cooperative DNA-binding by transcription factor (TF) proteins is critical for gene expression regulation in eukaryotes. In the human genome, many regulatory regions contain TF binding sites in close proximity to each other, which can facilitate cooperative interactions. However, binding site proximity does not necessarily imply cooperative binding, as two TFs could also bind independently to each of their neighboring target sites. Currently, the rules that drive cooperative versus independent binding of TFs to neighboring sites are not well understood. In addition, it is oftentimes difficult to infer direct cooperativity between TFs from existing DNA-binding data. Here, we show that in vitro binding assays using DNA libraries of a few thousand genomic sequences with putative cooperative TF binding events can be used to develop accurate models of cooperativity and to gain insights into cooperative binding mechanisms. Using human factors ETS1 and RUNX1 as our case study, we show that the distance and orientation between ETS1 sites are critical determinants of cooperative ETS1-ETS1 binding, while cooperative ETS1- RUNX1 interactions show more flexibility in distance and orientation and can be accurately predicted based on binding affinity and the sequence/shape features of the binding sites. The approach described here, combining custom experimental design with machine learning modeling, can be easily applied to study the cooperative DNA-binding patterns of any TFs.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE171734 | GEO | 2023/07/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Eukaryotic transcription factors (TFs) are key determinants of gene activity, yet they bind only a fraction of their corresponding DNA sequence motifs in any given cell type. Chromatin has the potential to restrict accessibility of binding sites; however, in which context chromatin states are instructive for TF binding remains mainly unknown. To explore the contribution of DNA methylation to constrained TF binding, we mapped DNase-I-hypersensitive sites in murine stem cells in the presence and absence of DNA methylation. Methylation-restricted sites are enriched for TF motifs containing CpGs, especially for those of NRF1. In fact, the TF NRF1 occupies several thousand additional sites in the unmethylated genome, resulting in increased transcription. Restoring de novo methyltransferase activity initiates remethylation at these sites and outcompetes NRF1 binding. This suggests that binding of DNA-methylationsensitive TFs relies on additional determinants to induce local hypomethylation. In support of this model, removal of neighbouring motifs in cis or of a TF in trans causes local hypermethylation and subsequent loss of NRF1 binding. This competition between DNA methylation and TFs in vivo reveals a case of cooperativity between TFs that acts indirectly via DNA methylation. Methylation removal by methylation-insensitive factors enables occupancy of methylation-sensitive factors, a principle that rationalizes hypomethylation of regulatory regions. DNase-seq (2 replicates) in mouse embryonic stem cells with (WT) and without DNA methylation (DNMT TKO). RNA-seq (3 replicates) in WT and DNMT TKO cells and in DNMT TKO cells after treatment with control siRNA or siRNA targeting Nrf1. H3K27ac ChIP-seq (2 replicates) in WT and DNMT TKO cells. NRF1 ChIP-seq (2 replicates) in WT and DNMT TKO cells, in WT upon culture in different conditions (adaptation to 2i and back to serum), upon transient overexpression of NRF1 and after differentiation into neuronal progenitor cells (NP). Whole-genome bisulfite sequencing in DNMT TKO cells and in WT upon culture in different conditions (adaptation to 2i and back to serum). NRF1 ChIP-seq (2 replicates) in human HMEC and HCC1954 cells.

Dataset Information

High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins (ETS1 and RUNX1)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure