Protocol for quantifying xenografted human cancer cells in zebrafish larvae using Cellpose

Here, we present a protocol for quantifying xenografted human glioblastoma stem cells (GSCs) in zebrafish larvae. We first describe steps for orthotopic xenotransplantation of GSCs into the midbrain of zebrafish larvae, immunofluorescent labeling, and confocal imaging. We then detail procedures for GSC quantification using the Cellpose algorithm. This protocol provides a technique for the semi-automatic segmentation and quantification of human cancer cells in xenograft experiments. With this approach, cancer cell survival and proliferation can be determined in an unbiased manner.

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-12-01
DOI
https://doi.org/10.48620/78639
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
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article

Protocol for quantifying xenografted human cancer cells in zebrafish larvae using Cellpose

Open Access CRIS of the University of Bern
Zebrafish Biomedical Research Applications
article

Protocol for quantifying xenografted human cancer cells in zebrafish larvae using Cellpose

article en

Abstract

Here, we present a protocol for quantifying xenografted human glioblastoma stem cells (GSCs) in zebrafish larvae. We first describe steps for orthotopic xenotransplantation of GSCs into the midbrain of zebrafish larvae, immunofluorescent labeling, and confocal imaging. We then detail procedures for GSC quantification using the Cellpose algorithm. This protocol provides a technique for the semi-automatic segmentation and quantification of human cancer cells in xenograft experiments. With this approach, cancer cell survival and proliferation can be determined in an unbiased manner.

Open Access CRIS of the University of Bern
Openalex Percentile: Top 71%
Zebrafish Biomedical Research Applications
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Protocol for quantifying xenografted human cancer cells in zebrafish larvae using Cellpose · Open Access CRIS of the University of Bern (2024) | TGRS Research Map | TGRS