Project description:To understand the recurrence of ovarian cancer, we profiled 13369 single cells from 8 ovarian cancer samples, including 4 primary tumors, 2 peritoneal metastasis and 2 relapse tumors by single cell RNA-seq.
Project description:Single cell RNA sequencing of macrophages harvested from omentum of mice 10 weeks after intra peritoneal inoculation of epithelial ovarian cancer cells.
Project 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.
Project description:We used single-cell RT-PCR to analyze the EMT program of disseminated single cells acquired from epithelial ovarian cancer (EOC) ascites.
Project description:single cell RNA-seq was performed on tumour and stromal cells from a single patient with ovarian cancer to establish gene expression profile differences between the two cell types and also heterogeneity within the tumour population.
Project description:Here we investigated different cell populations within ovarian cancer using single-cell RNA seq: fourteen samples from nine patients with differing grades (high grade, low grade and benign) as well as different origin sites (primary and metastatic tumor site, ovarian in origin and fallopian in origin).
Project description:Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer