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| Status |
Public on May 16, 2023 |
| Title |
RNA-sequencing for dynamic epi-transcriptomic landscape mapping with disease progression in ER-positive breast cancer |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Advanced breast cancer is characterised by enhanced tumour adaptability to therapeutic pressure and the metastatic microenvironment. Transcriptome differences in three ER positive (ER+) cell models are uncovered through this RNA-seq analysis of MCF7 (endocrine sensitive), LY2 (endocrine resistant) and T347 (derived from an ER-positive, treatment resistant brain metastatic patient tumour) cells.
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| Overall design |
We report the RNA-sequencing of three ER positive (ER+) cell models: MCF7, LY2 and T347 cells, and examine the gene expression differences.
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| Contributor(s) |
Young LS, Keelan S, Ola M, Charmsaz S, Cocchiglia S |
| Citation(s) |
36670046 |
| |
| Submission date |
Jun 10, 2021 |
| Last update date |
Aug 15, 2023 |
| Contact name |
Leonie Young |
| E-mail(s) |
[email protected]
|
| Organization name |
RCSI
|
| Department |
Surgery
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| Lab |
Endocrine Oncology Research Group
|
| Street address |
31A York Street
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| City |
Dublin |
| State/province |
Dublin |
| ZIP/Postal code |
D02 HX03 |
| Country |
Ireland |
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| Platforms (1) |
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| Samples (9)
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| This SubSeries is part of SuperSeries: |
| GSE176535 |
Dynamic epi-transcriptomic landscape mapping with disease progression in ER-positive breast cancer |
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| Relations |
| BioProject |
PRJNA736636 |
| SRA |
SRP323542 |
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