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Single-cell whole genome sequencing data of ovarian cancer samples

ABSTRACT: A living biobank of ovarian cancer ex vivo models reveals profound mitotic heterogeneity

PROVIDER: PRJEB28664 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR2809190.fastq.gz	Fastqsanger.gz
	ERR2809200.fastq.gz	Fastqsanger.gz
	ERR2809210.fastq.gz	Fastqsanger.gz
	ERR2809220.fastq.gz	Fastqsanger.gz
	ERR2809230.fastq.gz	Fastqsanger.gz

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Single-cell whole genome sequencing data of ovarian cancer samples

Project description:A living biobank of ovarian cancer ex vivo models reveals profound mitotic heterogeneity

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Single cell RNA-seq from 10X for a living biobank of ovarian cancer ex vivo models reveals profound mitotic heterogeneity

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Project description:Ovarian somatic cells are essential for tissue function, but there are no ex vivo models which maintain the cellular heterogeneity, in addition to the cell-cell and cell-matrix interactions of this compartment. We engineered a novel ovarian somatic organoid model in which a stroma-enriched fraction of primary mouse ovarian somatic cells was cultured in scaffold-free agarose micromolds. We sought to use this ovarian somatic organoid model to investigate mechanisms of ovarian aging and performed single cell RNA sequencing using primary ovarian somatic cells isolated from reproductively young and old mice, as well as organoids generated from young and old mice at days 1 and 6 of culture to assess age-dependent changes to cellular composition.

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Illumina HumanMethylation450 array data for Ovarian Cancer Samples

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