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A versatile, automated and high-throughput drug screening platform for zebrafish embryos
Zebrafish provide a unique opportunity for drug screening in living animals, with the fast-developing, transparent embryos allowing for relatively high-throughput, microscopy-based screens. However, the limited availability of rapid, flexible imaging and analysis platforms has limited the use of zeb...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430230/ https://www.ncbi.nlm.nih.gov/pubmed/34472582 http://dx.doi.org/10.1242/bio.058513 |
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author | Lubin, Alexandra Otterstrom, Jason Hoade, Yvette Bjedov, Ivana Stead, Eleanor Whelan, Matthew Gestri, Gaia Paran, Yael Payne, Elspeth |
author_facet | Lubin, Alexandra Otterstrom, Jason Hoade, Yvette Bjedov, Ivana Stead, Eleanor Whelan, Matthew Gestri, Gaia Paran, Yael Payne, Elspeth |
author_sort | Lubin, Alexandra |
collection | PubMed |
description | Zebrafish provide a unique opportunity for drug screening in living animals, with the fast-developing, transparent embryos allowing for relatively high-throughput, microscopy-based screens. However, the limited availability of rapid, flexible imaging and analysis platforms has limited the use of zebrafish in drug screens. We have developed an easy-to-use, customisable automated screening procedure suitable for high-throughput phenotype-based screens of live zebrafish. We utilised the WiScan(®) Hermes High Content Imaging System to rapidly acquire brightfield and fluorescent images of embryos, and the WiSoft(®) Athena Zebrafish Application for analysis, which harnesses an Artificial Intelligence-driven algorithm to automatically detect fish in brightfield images, identify anatomical structures, partition the animal into regions and exclusively select the desired side-oriented fish. Our initial validation combined structural analysis with fluorescence images to enumerate GFP-tagged haematopoietic stem and progenitor cells in the tails of embryos, which correlated with manual counts. We further validated this system to assess the effects of genetic mutations and X-ray irradiation in high content using a wide range of assays. Further, we performed simultaneous analysis of multiple cell types using dual fluorophores in high throughput. In summary, we demonstrate a broadly applicable and rapidly customisable platform for high-content screening in zebrafish. This article has an associated First Person interview with the first author of the paper. |
format | Online Article Text |
id | pubmed-8430230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-84302302021-09-10 A versatile, automated and high-throughput drug screening platform for zebrafish embryos Lubin, Alexandra Otterstrom, Jason Hoade, Yvette Bjedov, Ivana Stead, Eleanor Whelan, Matthew Gestri, Gaia Paran, Yael Payne, Elspeth Biol Open Methods & Techniques Zebrafish provide a unique opportunity for drug screening in living animals, with the fast-developing, transparent embryos allowing for relatively high-throughput, microscopy-based screens. However, the limited availability of rapid, flexible imaging and analysis platforms has limited the use of zebrafish in drug screens. We have developed an easy-to-use, customisable automated screening procedure suitable for high-throughput phenotype-based screens of live zebrafish. We utilised the WiScan(®) Hermes High Content Imaging System to rapidly acquire brightfield and fluorescent images of embryos, and the WiSoft(®) Athena Zebrafish Application for analysis, which harnesses an Artificial Intelligence-driven algorithm to automatically detect fish in brightfield images, identify anatomical structures, partition the animal into regions and exclusively select the desired side-oriented fish. Our initial validation combined structural analysis with fluorescence images to enumerate GFP-tagged haematopoietic stem and progenitor cells in the tails of embryos, which correlated with manual counts. We further validated this system to assess the effects of genetic mutations and X-ray irradiation in high content using a wide range of assays. Further, we performed simultaneous analysis of multiple cell types using dual fluorophores in high throughput. In summary, we demonstrate a broadly applicable and rapidly customisable platform for high-content screening in zebrafish. This article has an associated First Person interview with the first author of the paper. The Company of Biologists Ltd 2021-09-02 /pmc/articles/PMC8430230/ /pubmed/34472582 http://dx.doi.org/10.1242/bio.058513 Text en © 2021. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Methods & Techniques Lubin, Alexandra Otterstrom, Jason Hoade, Yvette Bjedov, Ivana Stead, Eleanor Whelan, Matthew Gestri, Gaia Paran, Yael Payne, Elspeth A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title | A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title_full | A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title_fullStr | A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title_full_unstemmed | A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title_short | A versatile, automated and high-throughput drug screening platform for zebrafish embryos |
title_sort | versatile, automated and high-throughput drug screening platform for zebrafish embryos |
topic | Methods & Techniques |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430230/ https://www.ncbi.nlm.nih.gov/pubmed/34472582 http://dx.doi.org/10.1242/bio.058513 |
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