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A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery
Drug discovery in whole-organisms such as zebrafish is a promising approach for identifying biologically-relevant lead compounds. However, high content imaging of zebrafish at cellular resolution is challenging due to the difficulty in orienting larvae en masse such that the cell type of interest is...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061318/ https://www.ncbi.nlm.nih.gov/pubmed/27732643 http://dx.doi.org/10.1371/journal.pone.0164645 |
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author | Liu, Harrison Chen, Steven Huang, Kevin Kim, Jeffrey Mo, Han Iovine, Raffael Gendre, Julie Pascal, Pauline Li, Qiang Sun, Yaping Dong, Zhiqiang Arkin, Michelle Guo, Su Huang, Bo |
author_facet | Liu, Harrison Chen, Steven Huang, Kevin Kim, Jeffrey Mo, Han Iovine, Raffael Gendre, Julie Pascal, Pauline Li, Qiang Sun, Yaping Dong, Zhiqiang Arkin, Michelle Guo, Su Huang, Bo |
author_sort | Liu, Harrison |
collection | PubMed |
description | Drug discovery in whole-organisms such as zebrafish is a promising approach for identifying biologically-relevant lead compounds. However, high content imaging of zebrafish at cellular resolution is challenging due to the difficulty in orienting larvae en masse such that the cell type of interest is in clear view. We report the development of the multi-pose imaging method, which uses 96-well round bottom plates combined with a standard liquid handler to repose the larvae within each well multiple times, such that an image in a specific orientation can be acquired. We have validated this method in a chemo-genetic zebrafish model of dopaminergic neuron degeneration. For this purpose, we have developed an analysis pipeline that identifies the larval brain in each image and then quantifies neuronal health in CellProfiler. Our method achieves a SSMD* score of 6.96 (robust Z’-factor of 0.56) and is suitable for screening libraries up to 10(5) compounds in size. |
format | Online Article Text |
id | pubmed-5061318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50613182016-10-27 A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery Liu, Harrison Chen, Steven Huang, Kevin Kim, Jeffrey Mo, Han Iovine, Raffael Gendre, Julie Pascal, Pauline Li, Qiang Sun, Yaping Dong, Zhiqiang Arkin, Michelle Guo, Su Huang, Bo PLoS One Research Article Drug discovery in whole-organisms such as zebrafish is a promising approach for identifying biologically-relevant lead compounds. However, high content imaging of zebrafish at cellular resolution is challenging due to the difficulty in orienting larvae en masse such that the cell type of interest is in clear view. We report the development of the multi-pose imaging method, which uses 96-well round bottom plates combined with a standard liquid handler to repose the larvae within each well multiple times, such that an image in a specific orientation can be acquired. We have validated this method in a chemo-genetic zebrafish model of dopaminergic neuron degeneration. For this purpose, we have developed an analysis pipeline that identifies the larval brain in each image and then quantifies neuronal health in CellProfiler. Our method achieves a SSMD* score of 6.96 (robust Z’-factor of 0.56) and is suitable for screening libraries up to 10(5) compounds in size. Public Library of Science 2016-10-12 /pmc/articles/PMC5061318/ /pubmed/27732643 http://dx.doi.org/10.1371/journal.pone.0164645 Text en © 2016 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Harrison Chen, Steven Huang, Kevin Kim, Jeffrey Mo, Han Iovine, Raffael Gendre, Julie Pascal, Pauline Li, Qiang Sun, Yaping Dong, Zhiqiang Arkin, Michelle Guo, Su Huang, Bo A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title | A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title_full | A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title_fullStr | A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title_full_unstemmed | A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title_short | A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery |
title_sort | high-content larval zebrafish brain imaging method for small molecule drug discovery |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061318/ https://www.ncbi.nlm.nih.gov/pubmed/27732643 http://dx.doi.org/10.1371/journal.pone.0164645 |
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