Mechanism of ZNF143 in chromatin looping and 3D genome organization
Zhang, M.; Huang, H.; Li, J.; Wu, Q.
Show abstract
The transcription factor ZNF143 contains a central domain of seven zinc fingers in a tandem array and is involved in 3D genome construction; however, the mechanism by which ZNF143 functions in chromatin looping remains unclear. Here, we show that ZNF143 directionally recognizes a diverse range of genomic sites within enhancers and promoters and is required for chromatin looping between these sites. In addition, ZNF143 is located between CTCF and cohesin at numerous CTCF sites, and ZNF143 removal narrows the space between CTCF and cohesin. Moreover, genetic deletion of ZNF143, in conjunction with acute CTCF depletion, reveals that ZNF143 and CTCF collaborate to regulate higher-order chromatin organization. Thus, ZNF143 is recruited by CTCF to the CTCF sites to regulate TAD formation, whereas directional recognition of genomic DNA motifs directly by ZNF143 itself regulates promoter activity via chromatin looping.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation 97%
- CHAMP1 complex directs heterochromatin assembly and promotes homology-directed DNA repair 96%
- Fine-mapping of nuclear compartments using ultra-deep Hi-C shows that active promoter and enhancer elements localize in the active A compartment even when adjacent sequences do not 96%
Similar papers in this journal
Similar papers in this journal
- ChIP-DIP: A multiplexed method for mapping hundreds of proteins to DNA uncovers diverse regulatory elements controlling gene expression 96%
- Boundary stacking interactions enable cross-TAD enhancer-promoter communication during limb development 96%
- Transcriptional kinetics and molecular functions of long non-coding RNAs 96%
Similar papers in this journal
"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.