 |
 |
GEO help: Mouse over screen elements for information. |
|
| Status |
Public on Aug 30, 2018 |
| Title |
RNA-Seq analysis of long-term estrogen-deprived (LTED) MDA-MB-134VI (MM134) and SUM44PE (SUM44) ILC cell lines |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Background: Invasive lobular breast carcinoma (ILC) is a histological subtype of breast cancer that is characterized by loss of E-cadherin, and high expression of estrogen receptor alpha (ER). Many patients with ILC are effectively treated with adjuvant aromatase inhibitors (AIs), however, acquired AI resistance remains a significant problem.
Methods: To identify underlying mechanisms of acquired antiestrogen resistance in ILC, we developed a total of 6 long-term estrogen-deprived (LTED) variant cell lines of the human ILC cell lines SUM44PE (SUM44; 2 lines) and MDA-MB-134VI (MM134; 4 lines). To better understand mechanisms of AI resistance in these models, we performed transcriptional profiling analysis by RNA-sequencing.
Results: MM134 LTED cells expressed ER at decreased level and lost growth response to estradiol, while SUM44 LTED cells retained partial ER activity. Our transcriptional profiling analysis identified shared activation of lipid metabolism across all 6 independent models. However, the underlying basis of this signature was distinct between models. Oxysterols were able to promote the proliferation of SUM44 LTED cells, but not MM134 LTED. In contrast, MM134 LTED cells displayed high expression of the Sterol regulatory element-binding protein 1 (SREBP1), a regulator of fatty acid and cholesterol synthesis, and were hypersensitive to genetic or pharmacological inhibition of SREBPs. Several SREBP1 downstream targets involved in fatty acid synthesis, including FASN, were induced, and MM134 LTED cells were more sensitive to etomoxir, an inhibitor of the rate-limiting enzyme in β-oxidation, than their respective parental control cells.
Conclusions: Our characterization of a unique series of AI-resistant ILC models identifies a lipogenic phenotype, including overexpression of SREBP1. This novel metabolic target deserves further study for the prevention and treatment of AI-resistance for patients with ILC.
|
| |
|
| Overall design |
Parental and LTED MM134 and SUM44 cells were seeded in triplicates in 6-well plates. Parental cells were hormone deprived for three days before cell collection. RNA-Seq was carried out by Illumina HiSeq 2000. Raw sequence data were mapped to hg38 genome (ensembl release version 82) and gene counts were quantified with Salmon (version 0.6.0)
|
| |
|
| Contributor(s) |
Du T, Sikora MJ, Levine KM, Tasdemir N, Riggins RB, Wendell SG, Van Houten B, Oesterreich S |
| Citation(s) |
30180878 |
| |
| Submission date |
Jul 06, 2018 |
| Last update date |
Mar 27, 2019 |
| Contact name |
Kevin Levine |
| E-mail(s) |
[email protected]
|
| Phone |
4126417736
|
| Organization name |
University of Pittsburgh
|
| Street address |
204 Craft Ave
|
| City |
Pittsburgh |
| State/province |
Pennsylvania |
| ZIP/Postal code |
15213 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
|
| Samples (27)
|
|
| Relations |
| BioProject |
PRJNA480032 |
| SRA |
SRP152557 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE116744_LTED_raw_counts.csv.gz |
3.5 Mb |
(ftp)(http) |
CSV |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
|
|
|
|
 |
Less...
More...