HNF1B-driven three-dimensional chromatin structure for molecular classification in pancreatic cancers.
Hiroyuki KatoKeisuke TateishiDosuke IwadateKeisuke YamamotoHiroaki FujiwaraTakuma NakatsukaYotaro KudoYoku HayakawaHideaki IjichiMotoyuki OtsukaTakahiro KishikawaRyota TakahashiKoji MiyabayashiYousuke NakaiYoshihiro HirataAtsushi ToyodaShinichi MorishitaMitsuhiro FujishiroPublished in: Cancer science (2022)
The molecular subtypes of pancreatic cancer (PC), either classical/progenitor-like or basal/squamous-like, are currently a major topic of research because of their direct association with clinical outcomes. Some transcription factors (TFs) have been reported to be associated with these subtypes. However, the mechanisms by which these molecular signatures of PCs are established remain unknown. Epigenetic regulatory processes, supported by dynamic changes in the chromatin structure, are essential for transcriptional profiles. Previously, we reported the importance of open chromatin profiles in the biological features and transcriptional status of PCs. Here, we aimed to analyze the relationships between three-dimensional (3D) genome structures and the molecular subtypes of human PCs using Hi-C analysis. We observed a correlation of the specific elements of 3D genome modules, including compartments, topologically associating domains, and enhancer-promoter loops, with the expression of related genes. We focused on HNF1B, a TF that is implicated in the progenitor subtype. Forced expression of HNF1B in squamous-type PC organoids induced the upregulation and downregulation of genes associated with progenitor and squamous subtypes, respectively. Long-range genomic interactions induced by HNF1B were accompanied by compartment modulation and H3K27ac redistribution. We also found that these HNF1B-induced changes in subtype-related gene expression required an intrinsically disordered region, suggesting a possible involvement of phase separation in compartment modulation. Thus, mapping of 3D structural changes induced by TFs, such as HNF1B, may become a useful resource for further understanding the molecular features of PCs.
Keyphrases
- gene expression
- transcription factor
- dna methylation
- genome wide
- poor prognosis
- nuclear factor
- high grade
- dna damage
- low grade
- cell proliferation
- signaling pathway
- high resolution
- dna binding
- binding protein
- endothelial cells
- machine learning
- single molecule
- deep learning
- minimally invasive
- inflammatory response
- oxidative stress
- toll like receptor
- young adults
- mass spectrometry
- diabetic rats
- drug induced