Project name: Single cell 5' RNA sequencing of 9 Korean ovarian cancer patients

Description: To investigate the tumor-associated antigens and their functional relationships in ovarian cancer, we provide single-cell 5’ RNA sequencing data of 18,299 cells from 9 patients with ovarian high-grade serous ovarian carcinoma (HGSOC). In the heterogeneous complexity, we refined single-cell profiles by public methods for cell-type annotation and aneuploid prediction, resulting in the cellular composition of the epithelial tumor, tumor-infiltrating immune cells, and the other stromal cells. The extraction of the expressional pattern to discriminate tumor and the other normal cells was performed, which could provide the clue for the prioritization of antigens for ovarian cancer.Overall design: Single-cell mRNA expression data were derived from nine patients (mean age, 56 years old) who were undertaken cytoreductive surgery with ovarian high-grade serous ovarian carcinoma (HGSOC). For quality control of the data, we carried out filtering the cells with low UMI and RNA features, and high mitochondrial percentages. To efficiently predict the amount of copy number variation, cells with sufficient expression values that could be compared within cells were selected for further analysis. 18,299 cells that passed the final criteria were used for initial clustering, dimensional reduction, and cell-type identification with the definition of tumor cells.

Data type: Transcriptome or Gene expression

Sample scope: Multiisolate

Relevance: Medical

Last updated: 2022-01-02