Enhancer-driven 3D chromatin domain folding modulates transcription in human mammary tumor cells.
Silvia KocanovaFlavien RaynalIsabelle GoiffonBetul Akgol OksuzDavide BaúAlain KamgouéSylvain CantaloubeYe ZhanBryan LajoieMarc A Marti-RenomJob DekkerKerstin BystrickyPublished in: Life science alliance (2023)
The genome is organized in functional compartments and structural domains at the sub-megabase scale. How within these domains interactions between numerous cis-acting enhancers and promoters regulate transcription remains an open question. Here, we determined chromatin folding and composition over several hundred kb around estrogen-responsive genes in human breast cancer cell lines after hormone stimulation. Modeling of 5C data at 1.8 kb resolution was combined with quantitative 3D analysis of multicolor FISH measurements at 100 nm resolution and integrated with ChIP-seq data on transcription factor binding and histone modifications. We found that rapid estradiol induction of the progesterone gene expression occurs in the context of preexisting, cell type-specific chromosomal architectures encompassing the 90 kb progesterone gene coding region and an enhancer-spiked 5' 300 kb upstream genomic region. In response to estradiol, interactions between estrogen receptor α (ERα) bound regulatory elements are reinforced. Whereas initial enhancer-gene contacts coincide with RNA Pol 2 binding and transcription initiation, sustained hormone stimulation promotes ERα accumulation creating a regulatory hub stimulating transcript synthesis. In addition to implications for estrogen receptor signaling, we uncover that preestablished chromatin architectures efficiently regulate gene expression upon stimulation without the need for de novo extensive rewiring of long-range chromatin interactions.
Keyphrases
- estrogen receptor
- transcription factor
- genome wide identification
- gene expression
- genome wide
- dna methylation
- dna binding
- copy number
- single molecule
- endothelial cells
- induced pluripotent stem cells
- binding protein
- electronic health record
- molecular dynamics simulations
- pluripotent stem cells
- big data
- dna damage
- rna seq
- high resolution
- high throughput
- artificial intelligence
- genome wide analysis
- photodynamic therapy
- oxidative stress
- network analysis
- cancer therapy
- flow cytometry
- endoplasmic reticulum
- deep learning