GSE176533
MeRIP-sequencing for dynamic epi-transcriptomic landscape mapping with disease progression in ER-positive breast cancer
Advanced breast cancer is characterised by enhanced tumour adaptability to therapeutic pressure and the metastatic microenvironment. Targeting epi-transcriptomic modulators may reverse cellular adaptability, offering new therapeutic strategies to treat metastatic disease. This study looks into the dynamic adaptations that occur in cancer cells in response to therapeutic pressure and metastatic evolution by profiling mRNA epi-transcriptomic modifications in models of disease progression. ER positive (ER+) cell models were used to represent progressive breast cancer, MCF7 (endocrine sensitive), LY2 (endocrine resistant) and T347 (derived from an ER-positive, treatment resistant brain metastatic patient tumour) cells. MeRIP sequencing was undertaken to determine genome-wide RNA methylated regions. Overall design: We report the MeRIP-sequencing of three ER positive (ER+) cell models: MCF7, LY2 and T347 cells, and examine the epi-transcriptomic differences.