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High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers
Toxicity is a major cause of failure in drug discovery and development, and whilst robust toxicological testing occurs, efficiency could be improved if compounds with cytotoxic characteristics were identified during primary compound screening. The use of high-content imaging in primary screening is...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914966/ https://www.ncbi.nlm.nih.gov/pubmed/24505478 http://dx.doi.org/10.1371/journal.pone.0088338 |
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author | Martin, Heather L. Adams, Matthew Higgins, Julie Bond, Jacquelyn Morrison, Ewan E. Bell, Sandra M. Warriner, Stuart Nelson, Adam Tomlinson, Darren C. |
author_facet | Martin, Heather L. Adams, Matthew Higgins, Julie Bond, Jacquelyn Morrison, Ewan E. Bell, Sandra M. Warriner, Stuart Nelson, Adam Tomlinson, Darren C. |
author_sort | Martin, Heather L. |
collection | PubMed |
description | Toxicity is a major cause of failure in drug discovery and development, and whilst robust toxicological testing occurs, efficiency could be improved if compounds with cytotoxic characteristics were identified during primary compound screening. The use of high-content imaging in primary screening is becoming more widespread, and by utilising phenotypic approaches it should be possible to incorporate cytotoxicity counter-screens into primary screens. Here we present a novel phenotypic assay that can be used as a counter-screen to identify compounds with adverse cellular effects. This assay has been developed using U2OS cells, the PerkinElmer Operetta high-content/high-throughput imaging system and Columbus image analysis software. In Columbus, algorithms were devised to identify changes in nuclear morphology, cell shape and proliferation using DAPI, TOTO-3 and phosphohistone H3 staining, respectively. The algorithms were developed and tested on cells treated with doxorubicin, taxol and nocodazole. The assay was then used to screen a novel, chemical library, rich in natural product-like molecules of over 300 compounds, 13.6% of which were identified as having adverse cellular effects. This assay provides a relatively cheap and rapid approach for identifying compounds with adverse cellular effects during screening assays, potentially reducing compound rejection due to toxicity in subsequent in vitro and in vivo assays. |
format | Online Article Text |
id | pubmed-3914966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39149662014-02-06 High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers Martin, Heather L. Adams, Matthew Higgins, Julie Bond, Jacquelyn Morrison, Ewan E. Bell, Sandra M. Warriner, Stuart Nelson, Adam Tomlinson, Darren C. PLoS One Research Article Toxicity is a major cause of failure in drug discovery and development, and whilst robust toxicological testing occurs, efficiency could be improved if compounds with cytotoxic characteristics were identified during primary compound screening. The use of high-content imaging in primary screening is becoming more widespread, and by utilising phenotypic approaches it should be possible to incorporate cytotoxicity counter-screens into primary screens. Here we present a novel phenotypic assay that can be used as a counter-screen to identify compounds with adverse cellular effects. This assay has been developed using U2OS cells, the PerkinElmer Operetta high-content/high-throughput imaging system and Columbus image analysis software. In Columbus, algorithms were devised to identify changes in nuclear morphology, cell shape and proliferation using DAPI, TOTO-3 and phosphohistone H3 staining, respectively. The algorithms were developed and tested on cells treated with doxorubicin, taxol and nocodazole. The assay was then used to screen a novel, chemical library, rich in natural product-like molecules of over 300 compounds, 13.6% of which were identified as having adverse cellular effects. This assay provides a relatively cheap and rapid approach for identifying compounds with adverse cellular effects during screening assays, potentially reducing compound rejection due to toxicity in subsequent in vitro and in vivo assays. Public Library of Science 2014-02-05 /pmc/articles/PMC3914966/ /pubmed/24505478 http://dx.doi.org/10.1371/journal.pone.0088338 Text en © 2014 Martin 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Martin, Heather L. Adams, Matthew Higgins, Julie Bond, Jacquelyn Morrison, Ewan E. Bell, Sandra M. Warriner, Stuart Nelson, Adam Tomlinson, Darren C. High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title | High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title_full | High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title_fullStr | High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title_full_unstemmed | High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title_short | High-Content, High-Throughput Screening for the Identification of Cytotoxic Compounds Based on Cell Morphology and Cell Proliferation Markers |
title_sort | high-content, high-throughput screening for the identification of cytotoxic compounds based on cell morphology and cell proliferation markers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914966/ https://www.ncbi.nlm.nih.gov/pubmed/24505478 http://dx.doi.org/10.1371/journal.pone.0088338 |
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