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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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