Internal Dataset

Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seq

UID: 10390
* Corresponding Author

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).
Local Expert
Subject of Study
Subject Domain
Population Age
Adult (19 years - 64 years)
Senior (65 years - 79 years)
Subject Gender
Female
Keywords

Access

Restrictions
Free to All
Instructions
GEO is a public functional genomics data repository supporting MIAME-compliant data submissions. Array- and sequence-based data are accepted. Tools are provided to help users query and download experiments and curated gene expression profiles.
Access via Gene Expression Omnibus

1 platform, 18 samples, 1 supplemental file
Accession #: GSE118828

Associated Publications
Data Type
Equipment Used
Software Used
R
Dataset Format(s)
CSV, SOFT, MINiML, TXT