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Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line
The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determi...
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/PMC7214418/ https://www.ncbi.nlm.nih.gov/pubmed/32393797 http://dx.doi.org/10.1038/s41467-020-15956-9 |
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author | Su, Yapeng Ko, Melissa E. Cheng, Hanjun Zhu, Ronghui Xue, Min Wang, Jessica Lee, Jihoon W. Frankiw, Luke Xu, Alexander Wong, Stephanie Robert, Lidia Takata, Kaitlyn Yuan, Dan Lu, Yue Huang, Sui Ribas, Antoni Levine, Raphael Nolan, Garry P. Wei, Wei Plevritis, Sylvia K. Li, Guideng Baltimore, David Heath, James R. |
author_facet | Su, Yapeng Ko, Melissa E. Cheng, Hanjun Zhu, Ronghui Xue, Min Wang, Jessica Lee, Jihoon W. Frankiw, Luke Xu, Alexander Wong, Stephanie Robert, Lidia Takata, Kaitlyn Yuan, Dan Lu, Yue Huang, Sui Ribas, Antoni Levine, Raphael Nolan, Garry P. Wei, Wei Plevritis, Sylvia K. Li, Guideng Baltimore, David Heath, James R. |
author_sort | Su, Yapeng |
collection | PubMed |
description | The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAF(V600E) mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to uncover a cell-state landscape with two paths connecting drug-naive and drug-tolerant states. The trajectory a given cell takes depends upon the drug-naive level of a lineage-restricted transcription factor. Each trajectory exhibits unique druggable susceptibilities, thus updating the paradigm of adaptive resistance development in an isogenic cell population. |
format | Online Article Text |
id | pubmed-7214418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72144182020-05-14 Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line Su, Yapeng Ko, Melissa E. Cheng, Hanjun Zhu, Ronghui Xue, Min Wang, Jessica Lee, Jihoon W. Frankiw, Luke Xu, Alexander Wong, Stephanie Robert, Lidia Takata, Kaitlyn Yuan, Dan Lu, Yue Huang, Sui Ribas, Antoni Levine, Raphael Nolan, Garry P. Wei, Wei Plevritis, Sylvia K. Li, Guideng Baltimore, David Heath, James R. Nat Commun Article The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAF(V600E) mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to uncover a cell-state landscape with two paths connecting drug-naive and drug-tolerant states. The trajectory a given cell takes depends upon the drug-naive level of a lineage-restricted transcription factor. Each trajectory exhibits unique druggable susceptibilities, thus updating the paradigm of adaptive resistance development in an isogenic cell population. Nature Publishing Group UK 2020-05-11 /pmc/articles/PMC7214418/ /pubmed/32393797 http://dx.doi.org/10.1038/s41467-020-15956-9 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 Su, Yapeng Ko, Melissa E. Cheng, Hanjun Zhu, Ronghui Xue, Min Wang, Jessica Lee, Jihoon W. Frankiw, Luke Xu, Alexander Wong, Stephanie Robert, Lidia Takata, Kaitlyn Yuan, Dan Lu, Yue Huang, Sui Ribas, Antoni Levine, Raphael Nolan, Garry P. Wei, Wei Plevritis, Sylvia K. Li, Guideng Baltimore, David Heath, James R. Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title | Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title_full | Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title_fullStr | Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title_full_unstemmed | Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title_short | Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
title_sort | multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214418/ https://www.ncbi.nlm.nih.gov/pubmed/32393797 http://dx.doi.org/10.1038/s41467-020-15956-9 |
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