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

dc.contributor.authorSkorda Aikaterini
dc.contributor.authorLauridsen Anna Rossberg
dc.contributor.authorHuhtinen Kaisa
dc.contributor.authorLahtinen Alexandra
dc.contributor.authorSenkowski Wojciech
dc.contributor.authorOikkonen Jaana
dc.contributor.authorHynninen Johanna
dc.contributor.authorHautaniemi Sampsa
dc.contributor.authorKallunki Tuula
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=synnytys- ja naistentautioppi|en=Obstetrics and Gynaecology|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.74725736230
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id181902039
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/181902039
dc.date.accessioned2025-08-28T00:45:23Z
dc.date.available2025-08-28T00:45:23Z
dc.description.abstract<p>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).<br></p>
dc.format.pagerange102683
dc.identifier.jour-issn2666-1667
dc.identifier.olddbid206338
dc.identifier.oldhandle10024/189365
dc.identifier.urihttps://www.utupub.fi/handle/11111/45412
dc.identifier.urnURN:NBN:fi-fe2025082791217
dc.language.isoen
dc.okm.affiliatedauthorHuhtinen, Kaisa
dc.okm.affiliatedauthorHynninen, Johanna
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3123 Gynaecology and paediatricsen_GB
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.discipline3123 Naisten- ja lastentauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.xpro.2023.102683
dc.relation.ispartofjournalSTAR protocols
dc.relation.issue4
dc.relation.volume4
dc.source.identifierhttps://www.utupub.fi/handle/10024/189365
dc.titleQuantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis
dc.year.issued2023

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