Protocol for quantifying drug sensitivity in 3D patient-derived ovarian cancer models.
Autor: | Labrosse KB; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland; Hospital for Women, University Hospital Basel, 4031 Basel, Switzerland. Electronic address: kathrin.labrosse@usb.ch., Lombardo FC; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Rimmer N; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Núñez López M; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Fedier A; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Heinzelmann-Schwarz V; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland; Hospital for Women, University Hospital Basel, 4031 Basel, Switzerland., Coelho R; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland. Electronic address: ricardojorge.bouca-novacoelho@unibas.ch., Jacob F; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland. Electronic address: francis.jacob@unibas.ch. |
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Jazyk: | angličtina |
Zdroj: | STAR protocols [STAR Protoc] 2024 Sep 20; Vol. 5 (3), pp. 103274. Date of Electronic Publication: 2024 Aug 21. |
DOI: | 10.1016/j.xpro.2024.103274 |
Abstrakt: | Three-dimensional (3D) ex vivo cultures allow the study of cancer progression and drug resistance mechanisms. Here, we present a protocol for measuring on-target drug sensitivity in a scaffold-free 3D culture system through quantification of apoptotic tumor cells. We provide detailed steps for sample processing, immunofluorescence staining, semi-high-throughput confocal imaging, and imaged-based quantification of 3D cultures. This protocol is versatile and can be applied in principle to any patient-derived material. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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