Single cell sequencing reveals heterogeneity within ovarian cancer epithelium and cancer associated stromal cells.

ABSTRACT:

Objectives

The purpose of this study was to determine the level of heterogeneity in high grade serous ovarian cancer (HGSOC) by analyzing RNA expression in single epithelial and cancer associated stromal cells. In addition, we explored the possibility of identifying subgroups based on pathway activation and pre-defined signatures from cancer stem cells and chemo-resistant cells.

Methods

A fresh, HGSOC tumor specimen derived from ovary was enzymatically digested and depleted of immune infiltrating cells. RNA sequencing was performed on 92 single cells and 66 of these single cell datasets passed quality control checks. Sequences were analyzed using multiple bioinformatics tools, including clustering, principle components analysis, and geneset enrichment analysis to identify su

SUBMITTER: Winterhoff BJ 

PROVIDER: S-EPMC5316302 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature