Transposable elements are co-opted as oncogenic regulatory elements by lineage-specific transcription factors in prostate cancer.
Giacomo GrilloTina KeshavarzianSimon LinderChristopher ArlidgeLisanne MoutAnkita NandMona TengAditi QamraStanley ZhouKen J KronAlex MurisonJames R HawleyMichael FraserTheodorus H Van der KwastGanesh V RajHousheng Hansen HeWilbert ZwartMathieu LupienPublished in: Cancer discovery (2023)
Transposable elements hold regulatory functions that impact cell fate determination by controlling gene expression. However, little is known about the transcriptional machinery engaged at transposable elements in pluripotent and mature versus oncogenic cell states. Through positional analysis over repetitive DNA sequences of H3K27ac ChIP-seq data from 32 normal cell states, we report pluripotent/stem and mature cell state-specific "regulatory transposable elements". Pluripotent/stem elements are binding sites for pluripotency factors (e.g. NANOG, SOX2, OCT4). Mature cell elements are docking sites for lineage-specific transcription factors, including AR and FOXA1 in prostate epithelium. Expanding the analysis to prostate tumors, we identify a subset of regulatory transposable elements shared with pluripotent/stem cells, including Tigger3a. Using chromatin editing technology, we show how such elements promote prostate cancer growth by regulating AR transcriptional activity. Collectively, our results suggest that oncogenesis arises from lineage-specific transcription factors hijacking pluripotent/stem cell regulatory transposable elements.
Keyphrases
- transcription factor
- prostate cancer
- single cell
- gene expression
- stem cells
- cell fate
- cell therapy
- dna binding
- radical prostatectomy
- crispr cas
- dna methylation
- genome wide
- high throughput
- dna damage
- high frequency
- machine learning
- optical coherence tomography
- mesenchymal stem cells
- molecular dynamics simulations
- oxidative stress
- circulating tumor cells
- big data
- single molecule
- small molecule
- solid phase extraction
- data analysis
- heat shock protein
- liquid chromatography