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RNA-seq of human ex vivo ovarian cancer models - part III

ABSTRACT: RNA-seq of human ex vivo ovarian cancer models - part III

PROVIDER: PRJEB47842 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR6877950_1.fastq.gz	Fastqsanger.gz
	ERR6877950_2.fastq.gz	Fastqsanger.gz
	ERR6877941_1.fastq.gz	Fastqsanger.gz
	ERR6877941_2.fastq.gz	Fastqsanger.gz
	ERR6877951_1.fastq.gz	Fastqsanger.gz

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RNA-seq of human ex vivo ovarian cancer models - part III

Project description:Ascites or solid tumour samples from patients with ovarian cancer were collected and grown in culture as ex vivo models of purified tumour cells. RNA-seq was performed on these models to establish gene expression profiles, which allow identification of genes that are differentially expressed between patients with differing tumour intrinsic properties. These samples have been interrogated for the presence of a gene expression signature indicative of sensitivity to an inhibitor of poly(ADP-ribose) glycohydrolase (PARG). These samples are processed in the same manner as previous studies: “E-MTAB-7223 - RNA-seq of human ex vivo ovarian cancer models with matched stromal cells” and “E-MTAB-10801 - RNA-seq of human ex vivo ovarian cancer models with matched stromal cells - part II” with no stromal counterparts included in this current sequencing batch.

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Project description: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”

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Project description:Ascites or solid tumour from patients with ovarian cancer was collected and grown in culture as ex vivo models. Each sample has a mixture of tumour and stromal cells which were separated into individual cultures. Therefore each patient has tumour and stromal cultures originating from the same tissue collection. Variant calling (exome-seq) analysis was performed on these matched models to establish tumour specific mutations. Stromal cells were used to rule out germline mutations.

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