Luminal progenitor cell line iHBEC(CD117)
Basal-like breast cancer originates in luminal progenitors, frequently with an altered PI3K pathway, and focally in close association with genetically altered myoepithelial cells at the site of tumor initiation. The exact trajectory behind this bi-lineage phenomenon remains poorly understood. Here we used a breast cancer relevant transduction protocol including hTERT, shp16, shp53, and PIK3CA(H1047R) to immortalize FACS isolated luminal cells, and we identified a candidate multipotent progenitor. We found that the apparent luminal phenotype of these oncogene transduced progenitors was metastable giving rise to basal-like cells dependent on culture conditions. After culturing the cells for more than 60 passages, cells were subjected to scRNA-seq as well as bulk RNA sequencing of two subpopulations (CD271+ and CD271-).
- 18/12/2024
- 3 samples
- DAC: EGAC00001002481
- Technologies: NextSeq 2000, unspecified
Data access committee for studying human normal breast cells from reduction mammoplasty tissue
This Data Access Committee (DAC) will evaluate any request provided by a requestor, and grant access to specific datasets to those who fulfill the criteria for data access within EGA. The Data Access Committee (DAC) will aim to respond to all initial requests within 2 weeks. The committee will check that requestors data/EGAD number is consistent with the current data submission (that requestor has contacted the correct DAC). Requestor has to sign up to the terms within the DAA in order to validate that the data are used within terms of consent, and document this to the committee. Requestor has to provide a valid Institutional email address as well as a valid affiliation to an institutional organization. Requestor has to document to be “appropriately qualified/bona fide” for use of the data.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS50000000505 | Transcriptome Analysis |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
| ID | File Type | Size | Located in | |
|---|---|---|---|---|
| EGAF00008555989 | fq.gz | 2.8 GB | ||
| EGAF00008555990 | fq.gz | 2.9 GB | ||
| EGAF00008555991 | fq.gz | 2.8 GB | ||
| EGAF00008555992 | fq.gz | 2.8 GB | ||
| EGAF00008555993 | fq.gz | 3.0 GB | ||
| EGAF00008555994 | fq.gz | 2.8 GB | ||
| EGAF00008555995 | fq.gz | 3.0 GB | ||
| EGAF00008555996 | fastq.gz | 5.8 GB | ||
| EGAF00008555997 | fq.gz | 3.0 GB | ||
| EGAF00008555998 | fastq.gz | 13.8 GB | ||
| 10 Files (42.7 GB) | ||||