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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: STAR Protocols, Vol. 4, No. 4, 102683, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Skorda, A, Lauridsen, AR, Huhtinen, K, Lahtinen, A, Senkowski, W, Oikkonen, J, Hynninen, J, Hautaniemi, S & Kallunki, T 2023, 'Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis', STAR Protocols, vol. 4, no. 4, 102683. https://doi.org/10.1016/j.xpro.2023.102683

APA

Skorda, A., Lauridsen, A. R., Huhtinen, K., Lahtinen, A., Senkowski, W., Oikkonen, J., Hynninen, J., Hautaniemi, S., & Kallunki, T. (2023). Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis. STAR Protocols, 4(4), [102683]. https://doi.org/10.1016/j.xpro.2023.102683

Vancouver

Skorda A, Lauridsen AR, Huhtinen K, Lahtinen A, Senkowski W, Oikkonen J et al. Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis. STAR Protocols. 2023;4(4). 102683. https://doi.org/10.1016/j.xpro.2023.102683

Author

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. In: STAR Protocols. 2023 ; Vol. 4, No. 4.

Bibtex

@article{fc897bb568db4ca9b674b484805c2743,
title = "Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis",
abstract = "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",
keywords = "Cancer, Cell Biology, High-Throughput Screening, Organoids",
author = "Aikaterini Skorda and Lauridsen, {Anna R{\o}ssberg} and Kaisa Huhtinen and Alexandra Lahtinen and Wojciech Senkowski and Jaana Oikkonen and Johanna Hynninen and Sampsa Hautaniemi and Tuula Kallunki",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
doi = "10.1016/j.xpro.2023.102683",
language = "English",
volume = "4",
journal = "STAR Protocols",
issn = "2666-1667",
publisher = "Cell Press",
number = "4",

}

RIS

TY - JOUR

T1 - Quantification of cell death and proliferation of patient-derived ovarian cancer organoids through 3D imaging and image analysis

AU - Skorda, Aikaterini

AU - Lauridsen, Anna Røssberg

AU - Huhtinen, Kaisa

AU - Lahtinen, Alexandra

AU - Senkowski, Wojciech

AU - Oikkonen, Jaana

AU - Hynninen, Johanna

AU - Hautaniemi, Sampsa

AU - Kallunki, Tuula

N1 - Publisher Copyright: © 2023 The Author(s)

PY - 2023

Y1 - 2023

N2 - 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

AB - 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

KW - Cancer

KW - Cell Biology

KW - High-Throughput Screening

KW - Organoids

U2 - 10.1016/j.xpro.2023.102683

DO - 10.1016/j.xpro.2023.102683

M3 - Journal article

C2 - 37976153

AN - SCOPUS:85176911535

VL - 4

JO - STAR Protocols

JF - STAR Protocols

SN - 2666-1667

IS - 4

M1 - 102683

ER -

ID: 374454942