E-MTAB-10801
RNA-seq of human ex vivo ovarian cancer models with matched stromal cells - part II
Ascites or solid tumour from patients with ovarian cancer was collected and grown in culture as ex vivo models. Each sample has a tumour component and some samples have matched stromal cells, which were separated into individual cultures. RNA-seq was performed on these models to establish gene expression profiles, which allow the assessment of the separation protocol and identification of genes that are differentially expressed. The histological subtype from which the models were collected includes majorly high-grade serous, but also low-grade serous, clear cell and mucinous ovarian cancer. The sample subtypes have been assessed using a machine-learning based transcriptional classifier.  These samples are processed in the same manner as a previous study, “E-MTAB-7223 - RNA-seq of human ex vivo ovarian cancer models with matched stromal cells”
Ascites or solid tumour from patients with ovarian cancer was collected and grown in culture as ex vivo models. Each sample has a tumour component and some samples have matched stromal cells, which were separated into individual cultures. RNA-seq was performed on these models to establish gene expression profiles, which allow the assessment of the separation protocol and identification of genes that are differentially expressed. The histological subtype from which the models were collected includes majorly high-grade serous, but also low-grade serous, clear cell and mucinous ovarian cancer. The sample subtypes have been assessed using a machine-learning based transcriptional classifier.  These samples are processed in the same manner as a previous study, “E-MTAB-7223 - RNA-seq of human ex vivo ovarian cancer models with matched stromal cells”