Transcriptome profiling of three giant cell tumour of bone (GCTB) cell lines
This dataset contains RNA-seq data of giant cell tumour of bone (GCTB) cell lines (n=3). Cell lines consist of neoplastic "stromal" cells harboring a heterozygous H3F3A p.G34W mutation. RNA-seq was performed on the BGISEQ-500 platform (PE100) and uploaded data contains fastq files, vcf files, and gene expression values (TPM). Cell lines, data generation, and data analysis are described in the following publication: Venneker et al., Histone deacetylase inhibitors as a therapeutic strategy to eliminate neoplastic “stromal” cells from giant cell tumors of bone, 2022.
- 19/07/2022
- 3 samples
- DAC: EGAC00001002775
- Technology: unspecified
- Archive: European Genome-phenome Archive (EGA)
DAC for transcriptome profiling of three giant cell tumour of bone cell lines.
When using this data, please cite the original article in which this dataset was first described: Venneker et al., Histone deacetylase inhibitors as a therapeutic strategy to eliminate neoplastic “stromal” cells from giant cell tumors of bone, 2022.
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 |
|---|---|---|
| EGAS00001006441 | Other |
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 | Quality Report |
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| EGAF00006530566 | 1658230224221 | 3.6 GB |
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| EGAF00006530567 | 1658231123437 | 4.2 GB |
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| EGAF00006530568 | 1658229321723 | 7.2 MB |
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| EGAF00006530569 | 1658232025838 | 3.7 GB |
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| EGAF00006530570 | 1658231123437 | 4.2 GB |
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| EGAF00006530571 | 1658229321724 | 7.3 MB |
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| EGAF00006530572 | 1658231123437 | 3.5 GB |
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| EGAF00006530573 | 1658231123437 | 3.8 GB |
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| EGAF00006530574 | 1658229321724 | 7.4 MB |
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| EGAF00006530575 | 1658229321723 | 2.7 MB |
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| 10 Files (23.1 GB) | ||||
