Spatially clustered pattern of transcription factor binding reveals phase-separated transcriptional condensates at super-enhancers
Wang, Z.; Wang, S.; Zang, C.
Show abstract
Many transcription factors (TFs) have been shown to bind at super-enhancers, forming transcriptional condensates to activate transcription in many cellular systems. Genomic and epigenomic determinants of phase-separated transcriptional condensates are not well understood. Here we systematically analyzed DNA sequence motifs and TF binding profiles across human cell types to identify the molecular features that contribute to the formation of transcriptional condensates. We found that most DNA sequence motifs are not distributed randomly in the genome, but exhibiting spatially clustered patterns associated with super-enhancers. TF binding sites are further clustered and enriched at cell-type-specific super-enhancers. TFs exhibiting clustered binding patterns also have high liquid-liquid phase separation abilities. Compared to regular TF binding, densely clustered TF binding sites are more enriched at cell-type-specific super-enhancers with higher chromatin accessibility, higher chromatin interaction, and higher association with cancer outcome. Our results indicate that the clustered pattern of genomic binding and the phase separation properties of TFs collectively contribute to the formation of transcriptional condensates.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Decoding the genomic landscape of chromatin-associated biomolecular condensates 97%
- Large-scale multi-omics analysis suggests specific roles for intragenic cohesin in transcriptional regulation 97%
- H3K27me3-rich genomic regions can function as silencers to repress gene expression via chromatin interactions 97%
Similar papers in this journal
Similar papers in this journal
- DeTOKI identifies and characterizes the dynamics of chromatin topologically associating domains in a single cell 96%
- Functional classification of noncoding RNAs associated with distinct histone modifications by PIRCh-seq 96%
- Comprehensive analyses of partially methylated domains and differentially methylated regions in esophageal cancer reveal both cell-type- and cancer-specific epigenetic regulation 96%
Similar papers in this journal
- Functional characteristics and computational model of abundant hyperactive loci in the human genome 97%
- Spatial chromatin accessibility sequencing resolves high-order spatial interactions of epigenomic markers 96%
- Detection of new pioneer transcription factors as cell-type specific nucleosome binders 95%
Similar papers in this journal
- Characterization of network hierarchy reflects cell-state specificity in genome organization 96%
- Quantitative occupancy of myriad transcription factors from one DNase experiment enables efficient comparisons across conditions 95%
- Parallel Bimodal Single-cell Sequencing of Transcriptome and Chromatin Accessibility 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.