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Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis

Authors :
Aikaterini Skorda
Anna Røssberg Lauridsen
Kaisa Huhtinen
Alexandra Lahtinen
Wojciech Senkowski
Jaana Oikkonen
Johanna Hynninen
Sampsa Hautaniemi
Tuula Kallunki
Source :
STAR Protocols, Vol 4, Iss 4, Pp 102683- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Patient-derived organoids (PDOs) are ideal ex vivo model systems to study cancer progression and drug resistance mechanisms. Here, we present a protocol for measuring drug efficacy in three-dimensional (3D) high-grade serous ovarian cancer PDO cultures through quantification of cytotoxicity using propidium iodide incorporation in dead cells. We also provide detailed steps to analyze proliferation of PDOs using the Ki67 biomarker. We describe steps for sample processing, immunofluorescent staining, high-throughput confocal imaging, and image-based quantification for 3D cultures.For complete details on the use and execution of this protocol, please refer to Lahtinen et al. (2023).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Details

Language :
English
ISSN :
26661667
Volume :
4
Issue :
4
Database :
Directory of Open Access Journals
Journal :
STAR Protocols
Publication Type :
Academic Journal
Accession number :
edsdoj.330b361b02744b8a9f7f5805c6c8fd54
Document Type :
article
Full Text :
https://doi.org/10.1016/j.xpro.2023.102683