LATS1 controls CTCF chromatin occupancy and hormonal response of 3D-grown breast cancer cells.
Julieta Ramírez-CuéllarRoberto FerrariRosario T SanzMarta Valverde-SantiagoJudith García-GarcíaA Silvina NachtDavid CastilloFrancois Le DilyMaria Victoria NeguemborMarco MalatestaSarah BonninMarc A Marti-RenomMiguel BeatoGuillermo P VicentPublished in: The EMBO journal (2024)
The cancer epigenome has been studied in cells cultured in two-dimensional (2D) monolayers, but recent studies highlight the impact of the extracellular matrix and the three-dimensional (3D) environment on multiple cellular functions. Here, we report the physical, biochemical, and genomic differences between T47D breast cancer cells cultured in 2D and as 3D spheroids. Cells within 3D spheroids exhibit a rounder nucleus with less accessible, more compacted chromatin, as well as altered expression of ~2000 genes, the majority of which become repressed. Hi-C analysis reveals that cells in 3D are enriched for regions belonging to the B compartment, have decreased chromatin-bound CTCF and increased fusion of topologically associating domains (TADs). Upregulation of the Hippo pathway in 3D spheroids results in the activation of the LATS1 kinase, which promotes phosphorylation and displacement of CTCF from DNA, thereby likely causing the observed TAD fusions. 3D cells show higher chromatin binding of progesterone receptor (PR), leading to an increase in the number of hormone-regulated genes. This effect is in part mediated by LATS1 activation, which favors cytoplasmic retention of YAP and CTCF removal.
Keyphrases
- induced apoptosis
- cell cycle arrest
- genome wide
- gene expression
- transcription factor
- breast cancer cells
- dna damage
- extracellular matrix
- poor prognosis
- dna methylation
- signaling pathway
- squamous cell carcinoma
- endothelial cells
- cell proliferation
- type diabetes
- insulin resistance
- physical activity
- adipose tissue
- young adults
- pi k akt
- skeletal muscle
- single molecule
- long non coding rna
- papillary thyroid
- squamous cell
- bioinformatics analysis
- genome wide analysis
- childhood cancer