Using genetically encoded fluorescent biosensors to interrogate ovarian cancer metabolism.

ABSTRACT:

Background

Epithelial ovarian cancer (OC) is the most lethal gynecological malignancy and patients present with significant metastatic burden, particularly to the adipose-rich microenvironment of the omentum. Recent evidence has highlighted the importance of metabolic adaptations in enabling this metastasis, leading to significant interest in evolving the arsenal of tools used to study OC metabolism. In this study, we demonstrate the capability of genetically encoded fluorescent biosensors to study OC, with a focus on 3D organoid models that better recapitulate in vivo tumor microenvironments.

Materials and methods

Plasmids encoding the metabolic biosensors HyPer, iNap, Peredox, and Perceval were transfected into 15 ovarian cancer cell lines to assay oxidative stress, NADPH/

SUBMITTER: Bose S 

PROVIDER: S-EPMC9585869 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature