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Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines
Phenomic profiles are high-dimensional sets of readouts that can comprehensively capture the biological impact of chemical and genetic perturbations in cellular assay systems. Phenomic profiling of compound libraries can be used for compound target identification or mechanism of action (MoA) predict...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411054/ https://www.ncbi.nlm.nih.gov/pubmed/32764586 http://dx.doi.org/10.1038/s41598-020-69354-8 |
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author | Cox, Michael J. Jaensch, Steffen Van de Waeter, Jelle Cougnaud, Laure Seynaeve, Daan Benalla, Soulaiman Koo, Seong Joo Van Den Wyngaert, Ilse Neefs, Jean-Marc Malkov, Dmitry Bittremieux, Mart Steemans, Margino Peeters, Pieter J. Wegner, Jörg Kurt Ceulemans, Hugo Gustin, Emmanuel Chong, Yolanda T. Göhlmann, Hinrich W. H. |
author_facet | Cox, Michael J. Jaensch, Steffen Van de Waeter, Jelle Cougnaud, Laure Seynaeve, Daan Benalla, Soulaiman Koo, Seong Joo Van Den Wyngaert, Ilse Neefs, Jean-Marc Malkov, Dmitry Bittremieux, Mart Steemans, Margino Peeters, Pieter J. Wegner, Jörg Kurt Ceulemans, Hugo Gustin, Emmanuel Chong, Yolanda T. Göhlmann, Hinrich W. H. |
author_sort | Cox, Michael J. |
collection | PubMed |
description | Phenomic profiles are high-dimensional sets of readouts that can comprehensively capture the biological impact of chemical and genetic perturbations in cellular assay systems. Phenomic profiling of compound libraries can be used for compound target identification or mechanism of action (MoA) prediction and other applications in drug discovery. To devise an economical set of phenomic profiling assays, we assembled a library of 1,008 approved drugs and well-characterized tool compounds manually annotated to 218 unique MoAs, and we profiled each compound at four concentrations in live-cell, high-content imaging screens against a panel of 15 reporter cell lines, which expressed a diverse set of fluorescent organelle and pathway markers in three distinct cell lineages. For 41 of 83 testable MoAs, phenomic profiles accurately ranked the reference compounds (AUC-ROC ≥ 0.9). MoAs could be better resolved by screening compounds at multiple concentrations than by including replicates at a single concentration. Screening additional cell lineages and fluorescent markers increased the number of distinguishable MoAs but this effect quickly plateaued. There remains a substantial number of MoAs that were hard to distinguish from others under the current study’s conditions. We discuss ways to close this gap, which will inform the design of future phenomic profiling efforts. |
format | Online Article Text |
id | pubmed-7411054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74110542020-08-10 Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines Cox, Michael J. Jaensch, Steffen Van de Waeter, Jelle Cougnaud, Laure Seynaeve, Daan Benalla, Soulaiman Koo, Seong Joo Van Den Wyngaert, Ilse Neefs, Jean-Marc Malkov, Dmitry Bittremieux, Mart Steemans, Margino Peeters, Pieter J. Wegner, Jörg Kurt Ceulemans, Hugo Gustin, Emmanuel Chong, Yolanda T. Göhlmann, Hinrich W. H. Sci Rep Article Phenomic profiles are high-dimensional sets of readouts that can comprehensively capture the biological impact of chemical and genetic perturbations in cellular assay systems. Phenomic profiling of compound libraries can be used for compound target identification or mechanism of action (MoA) prediction and other applications in drug discovery. To devise an economical set of phenomic profiling assays, we assembled a library of 1,008 approved drugs and well-characterized tool compounds manually annotated to 218 unique MoAs, and we profiled each compound at four concentrations in live-cell, high-content imaging screens against a panel of 15 reporter cell lines, which expressed a diverse set of fluorescent organelle and pathway markers in three distinct cell lineages. For 41 of 83 testable MoAs, phenomic profiles accurately ranked the reference compounds (AUC-ROC ≥ 0.9). MoAs could be better resolved by screening compounds at multiple concentrations than by including replicates at a single concentration. Screening additional cell lineages and fluorescent markers increased the number of distinguishable MoAs but this effect quickly plateaued. There remains a substantial number of MoAs that were hard to distinguish from others under the current study’s conditions. We discuss ways to close this gap, which will inform the design of future phenomic profiling efforts. Nature Publishing Group UK 2020-08-06 /pmc/articles/PMC7411054/ /pubmed/32764586 http://dx.doi.org/10.1038/s41598-020-69354-8 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Cox, Michael J. Jaensch, Steffen Van de Waeter, Jelle Cougnaud, Laure Seynaeve, Daan Benalla, Soulaiman Koo, Seong Joo Van Den Wyngaert, Ilse Neefs, Jean-Marc Malkov, Dmitry Bittremieux, Mart Steemans, Margino Peeters, Pieter J. Wegner, Jörg Kurt Ceulemans, Hugo Gustin, Emmanuel Chong, Yolanda T. Göhlmann, Hinrich W. H. Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title | Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title_full | Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title_fullStr | Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title_full_unstemmed | Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title_short | Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
title_sort | tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411054/ https://www.ncbi.nlm.nih.gov/pubmed/32764586 http://dx.doi.org/10.1038/s41598-020-69354-8 |
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