Estrogen receptor alpha mutations in breast cancer cells cause gene expression changes through constant activity and through secondary effects
UID: 10767
- Description
- This superseries is composed of the subseries: GSE148276, GSE148277, and GSE148278.
Breast cancer patients with tumors that express estrogen receptor α (ER) at times harbor activating mutations in ER’s ligand binding domain. To investigate mutant ER’s molecular effects, multiple isogenic ER mutant cell lines for the two most common ER ligand binding domain mutations, Y537S and D538G, were developed. These mutations induce differential expression of thousands of genes, the majority of which are specific to one or the other mutation and are not observed upon estrogen treatment of wildtype cells. The mutant-specific genes show consistent differential expression across ER mutant lines developed in other laboratories. The observed gene expression changes cannot be explained by constitutive ER activity alone, as wildtype cells with long term estrogen exposure only exhibit some of these transcriptional changes, suggesting that mutant ER causes novel regulatory effects that are not simply due to constant activity. While ER mutations have minor effects on ER genomic binding, with the exception of ligand independence, substantial differences in chromatin accessibility due to ER mutations were noticed. Mutant ER is bound to approximately a quarter of mutant-enriched accessible regions that are enriched for other DNA binding factors including FOXA1, CTCF, and OCT1. The findings indicate that mutant ER causes several consistent effects on gene expression both indirectly and through constant activity.
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Access via GEO
Plain text, BEDGRAPH and NARROWPEAK files of expression profiling and genome binding/occupancy by high throughput sequencing
Accession #: GSE148279Access via BioProjectAdditional information about the overall initiative.
Accession #: PRJNA623670 - Access Restrictions
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Free to All
- Access Instructions
- The NCBI Gene Expression Omnibus, SRA and BioProject databases provide open access to these files. SRA and/or tar files can be downloaded directly from the site or viewed in the NCBI SRA Run Selector (link at bottom of page).
- Associated Publications
- Data Type
- Equipment Used
- Software Used
- Dataset Format(s)
- Plain Text, NARROWPEAK, BEDGRAPH
- Data Tool(s)
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RNA SeqChIP SeqATAC Seq
- Dataset Size
- 6.7 GB
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