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Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts
Zebrafish xenotransplantation models are increasingly applied for phenotypic drug screening to identify small compounds for precision oncology. Larval zebrafish xenografts offer the opportunity to perform drug screens at high-throughput in a complex in vivo environment. However, the full potential o...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195872/ https://www.ncbi.nlm.nih.gov/pubmed/37202469 http://dx.doi.org/10.1038/s41698-023-00386-9 |
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author | Sturtzel, C. Grissenberger, S. Bozatzi, P. Scheuringer, E. Wenninger-Weinzierl, A. Zajec, Z. Dernovšek, J. Pascoal, S. Gehl, V. Kutsch, A. Granig, A. Rifatbegovic, F. Carre, M. Lang, A. Valtingojer, I. Moll, J. Lötsch, D. Erhart, F. Widhalm, G. Surdez, D. Delattre, O. André, N. Stampfl, J. Tomašič, T. Taschner-Mandl, S. Distel, M. |
author_facet | Sturtzel, C. Grissenberger, S. Bozatzi, P. Scheuringer, E. Wenninger-Weinzierl, A. Zajec, Z. Dernovšek, J. Pascoal, S. Gehl, V. Kutsch, A. Granig, A. Rifatbegovic, F. Carre, M. Lang, A. Valtingojer, I. Moll, J. Lötsch, D. Erhart, F. Widhalm, G. Surdez, D. Delattre, O. André, N. Stampfl, J. Tomašič, T. Taschner-Mandl, S. Distel, M. |
author_sort | Sturtzel, C. |
collection | PubMed |
description | Zebrafish xenotransplantation models are increasingly applied for phenotypic drug screening to identify small compounds for precision oncology. Larval zebrafish xenografts offer the opportunity to perform drug screens at high-throughput in a complex in vivo environment. However, the full potential of the larval zebrafish xenograft model has not yet been realized and several steps of the drug screening workflow still await automation to increase throughput. Here, we present a robust workflow for drug screening in zebrafish xenografts using high-content imaging. We established embedding methods for high-content imaging of xenografts in 96-well format over consecutive days. In addition, we provide strategies for automated imaging and analysis of zebrafish xenografts including automated tumor cell detection and tumor size analysis over time. We also compared commonly used injection sites and cell labeling dyes and show specific site requirements for tumor cells from different entities. We demonstrate that our setup allows us to investigate proliferation and response to small compounds in several zebrafish xenografts ranging from pediatric sarcomas and neuroblastoma to glioblastoma and leukemia. This fast and cost-efficient assay enables the quantification of anti-tumor efficacy of small compounds in large cohorts of a vertebrate model system in vivo. Our assay may aid in prioritizing compounds or compound combinations for further preclinical and clinical investigations. |
format | Online Article Text |
id | pubmed-10195872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101958722023-05-20 Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts Sturtzel, C. Grissenberger, S. Bozatzi, P. Scheuringer, E. Wenninger-Weinzierl, A. Zajec, Z. Dernovšek, J. Pascoal, S. Gehl, V. Kutsch, A. Granig, A. Rifatbegovic, F. Carre, M. Lang, A. Valtingojer, I. Moll, J. Lötsch, D. Erhart, F. Widhalm, G. Surdez, D. Delattre, O. André, N. Stampfl, J. Tomašič, T. Taschner-Mandl, S. Distel, M. NPJ Precis Oncol Protocol Zebrafish xenotransplantation models are increasingly applied for phenotypic drug screening to identify small compounds for precision oncology. Larval zebrafish xenografts offer the opportunity to perform drug screens at high-throughput in a complex in vivo environment. However, the full potential of the larval zebrafish xenograft model has not yet been realized and several steps of the drug screening workflow still await automation to increase throughput. Here, we present a robust workflow for drug screening in zebrafish xenografts using high-content imaging. We established embedding methods for high-content imaging of xenografts in 96-well format over consecutive days. In addition, we provide strategies for automated imaging and analysis of zebrafish xenografts including automated tumor cell detection and tumor size analysis over time. We also compared commonly used injection sites and cell labeling dyes and show specific site requirements for tumor cells from different entities. We demonstrate that our setup allows us to investigate proliferation and response to small compounds in several zebrafish xenografts ranging from pediatric sarcomas and neuroblastoma to glioblastoma and leukemia. This fast and cost-efficient assay enables the quantification of anti-tumor efficacy of small compounds in large cohorts of a vertebrate model system in vivo. Our assay may aid in prioritizing compounds or compound combinations for further preclinical and clinical investigations. Nature Publishing Group UK 2023-05-18 /pmc/articles/PMC10195872/ /pubmed/37202469 http://dx.doi.org/10.1038/s41698-023-00386-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Protocol Sturtzel, C. Grissenberger, S. Bozatzi, P. Scheuringer, E. Wenninger-Weinzierl, A. Zajec, Z. Dernovšek, J. Pascoal, S. Gehl, V. Kutsch, A. Granig, A. Rifatbegovic, F. Carre, M. Lang, A. Valtingojer, I. Moll, J. Lötsch, D. Erhart, F. Widhalm, G. Surdez, D. Delattre, O. André, N. Stampfl, J. Tomašič, T. Taschner-Mandl, S. Distel, M. Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title | Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title_full | Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title_fullStr | Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title_full_unstemmed | Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title_short | Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
title_sort | refined high-content imaging-based phenotypic drug screening in zebrafish xenografts |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195872/ https://www.ncbi.nlm.nih.gov/pubmed/37202469 http://dx.doi.org/10.1038/s41698-023-00386-9 |
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