High-grade serous ovarian cancer refined with single-cell RNA-sequencing
We performed single-cell RNA-sequencing of 18,403 cells unbiasedly collected from 7 treatment-naive HGSOC tumours. For each phenotypic cluster of tumour or stromal cells, we identified specific transcriptomic markers. Next, we explored which phenotypic clusters correlate with overall survival based on expression of these transcriptomic markers in 1467 bulk RNA-seq tumours. By evaluating molecular subtype signatures in single cells, we assessed to what extent a phenotypic cluster of tumour or stromal cells contributes to each molecular subtype.
- Type: Other
- Archiver: EGA European Genome-Phenome Archive
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
|EGAD00001006898||Illumina NovaSeq 6000||12|
High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification.
Genome Med 13: 2021 111