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Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop
High-throughput measurement of cells perturbed using libraries of small molecules, gene knockouts, or different microenvironmental factors is a key step in functional genomics and pre-clinical drug discovery. However, it remains difficult to perform accurate single-cell assays in 384-well plates, li...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663587/ https://www.ncbi.nlm.nih.gov/pubmed/36376301 http://dx.doi.org/10.1038/s41467-022-34536-7 |
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author | Mills, Caitlin E. Subramanian, Kartik Hafner, Marc Niepel, Mario Gerosa, Luca Chung, Mirra Victor, Chiara Gaudio, Benjamin Yapp, Clarence Nirmal, Ajit J. Clark, Nicholas Sorger, Peter K. |
author_facet | Mills, Caitlin E. Subramanian, Kartik Hafner, Marc Niepel, Mario Gerosa, Luca Chung, Mirra Victor, Chiara Gaudio, Benjamin Yapp, Clarence Nirmal, Ajit J. Clark, Nicholas Sorger, Peter K. |
author_sort | Mills, Caitlin E. |
collection | PubMed |
description | High-throughput measurement of cells perturbed using libraries of small molecules, gene knockouts, or different microenvironmental factors is a key step in functional genomics and pre-clinical drug discovery. However, it remains difficult to perform accurate single-cell assays in 384-well plates, limiting many studies to well-average measurements (e.g., CellTiter-Glo®). Here we describe a public domain Dye Drop method that uses sequential density displacement and microscopy to perform multi-step assays on living cells. We use Dye Drop cell viability and DNA replication assays followed by immunofluorescence imaging to collect single-cell dose-response data for 67 investigational and clinical-grade small molecules in 58 breast cancer cell lines. By separating the cytostatic and cytotoxic effects of drugs computationally, we uncover unexpected relationships between the two. Dye Drop is rapid, reproducible, customizable, and compatible with manual or automated laboratory equipment. Dye Drop improves the tradeoff between data content and cost, enabling the collection of information-rich perturbagen-response datasets. |
format | Online Article Text |
id | pubmed-9663587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96635872022-11-15 Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop Mills, Caitlin E. Subramanian, Kartik Hafner, Marc Niepel, Mario Gerosa, Luca Chung, Mirra Victor, Chiara Gaudio, Benjamin Yapp, Clarence Nirmal, Ajit J. Clark, Nicholas Sorger, Peter K. Nat Commun Article High-throughput measurement of cells perturbed using libraries of small molecules, gene knockouts, or different microenvironmental factors is a key step in functional genomics and pre-clinical drug discovery. However, it remains difficult to perform accurate single-cell assays in 384-well plates, limiting many studies to well-average measurements (e.g., CellTiter-Glo®). Here we describe a public domain Dye Drop method that uses sequential density displacement and microscopy to perform multi-step assays on living cells. We use Dye Drop cell viability and DNA replication assays followed by immunofluorescence imaging to collect single-cell dose-response data for 67 investigational and clinical-grade small molecules in 58 breast cancer cell lines. By separating the cytostatic and cytotoxic effects of drugs computationally, we uncover unexpected relationships between the two. Dye Drop is rapid, reproducible, customizable, and compatible with manual or automated laboratory equipment. Dye Drop improves the tradeoff between data content and cost, enabling the collection of information-rich perturbagen-response datasets. Nature Publishing Group UK 2022-11-14 /pmc/articles/PMC9663587/ /pubmed/36376301 http://dx.doi.org/10.1038/s41467-022-34536-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mills, Caitlin E. Subramanian, Kartik Hafner, Marc Niepel, Mario Gerosa, Luca Chung, Mirra Victor, Chiara Gaudio, Benjamin Yapp, Clarence Nirmal, Ajit J. Clark, Nicholas Sorger, Peter K. Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title | Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title_full | Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title_fullStr | Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title_full_unstemmed | Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title_short | Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop |
title_sort | multiplexed and reproducible high content screening of live and fixed cells using dye drop |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663587/ https://www.ncbi.nlm.nih.gov/pubmed/36376301 http://dx.doi.org/10.1038/s41467-022-34536-7 |
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