Cargando…
Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis
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 pr...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692951/ https://www.ncbi.nlm.nih.gov/pubmed/37976153 http://dx.doi.org/10.1016/j.xpro.2023.102683 |
_version_ | 1785153049657868288 |
---|---|
author | Skorda, Aikaterini Lauridsen, Anna Røssberg Huhtinen, Kaisa Lahtinen, Alexandra Senkowski, Wojciech Oikkonen, Jaana Hynninen, Johanna Hautaniemi, Sampsa Kallunki, Tuula |
author_facet | Skorda, Aikaterini Lauridsen, Anna Røssberg Huhtinen, Kaisa Lahtinen, Alexandra Senkowski, Wojciech Oikkonen, Jaana Hynninen, Johanna Hautaniemi, Sampsa Kallunki, Tuula |
author_sort | Skorda, Aikaterini |
collection | PubMed |
description | 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) |
format | Online Article Text |
id | pubmed-10692951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106929512023-12-03 Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis Skorda, Aikaterini Lauridsen, Anna Røssberg Huhtinen, Kaisa Lahtinen, Alexandra Senkowski, Wojciech Oikkonen, Jaana Hynninen, Johanna Hautaniemi, Sampsa Kallunki, Tuula STAR Protoc Protocol 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) Elsevier 2023-11-16 /pmc/articles/PMC10692951/ /pubmed/37976153 http://dx.doi.org/10.1016/j.xpro.2023.102683 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Skorda, Aikaterini Lauridsen, Anna Røssberg Huhtinen, Kaisa Lahtinen, Alexandra Senkowski, Wojciech Oikkonen, Jaana Hynninen, Johanna Hautaniemi, Sampsa Kallunki, Tuula Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title | Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title_full | Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title_fullStr | Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title_full_unstemmed | Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title_short | Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis |
title_sort | quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3d imaging and image analysis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692951/ https://www.ncbi.nlm.nih.gov/pubmed/37976153 http://dx.doi.org/10.1016/j.xpro.2023.102683 |
work_keys_str_mv | AT skordaaikaterini quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT lauridsenannarøssberg quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT huhtinenkaisa quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT lahtinenalexandra quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT senkowskiwojciech quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT oikkonenjaana quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT hynninenjohanna quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT hautaniemisampsa quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis AT kallunkituula quantificationofcelldeathandproliferationofpatientderivedovariancancerorganoidsthrough3dimagingandimageanalysis |