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Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq
BACKGROUND: Preclinical studies require models that recapitulate the cellular diversity of human tumors and provide insight into the drug sensitivities of specific cellular populations. The ideal platform would enable rapid screening of cell type-specific drug sensitivities directly in patient tumor...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114529/ https://www.ncbi.nlm.nih.gov/pubmed/33975634 http://dx.doi.org/10.1186/s13073-021-00894-y |
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author | Zhao, Wenting Dovas, Athanassios Spinazzi, Eleonora Francesca Levitin, Hanna Mendes Banu, Matei Alexandru Upadhyayula, Pavan Sudhakar, Tejaswi Marie, Tamara Otten, Marc L. Sisti, Michael B. Bruce, Jeffrey N. Canoll, Peter Sims, Peter A. |
author_facet | Zhao, Wenting Dovas, Athanassios Spinazzi, Eleonora Francesca Levitin, Hanna Mendes Banu, Matei Alexandru Upadhyayula, Pavan Sudhakar, Tejaswi Marie, Tamara Otten, Marc L. Sisti, Michael B. Bruce, Jeffrey N. Canoll, Peter Sims, Peter A. |
author_sort | Zhao, Wenting |
collection | PubMed |
description | BACKGROUND: Preclinical studies require models that recapitulate the cellular diversity of human tumors and provide insight into the drug sensitivities of specific cellular populations. The ideal platform would enable rapid screening of cell type-specific drug sensitivities directly in patient tumor tissue and reveal strategies to overcome intratumoral heterogeneity. METHODS: We combine multiplexed drug perturbation in acute slice culture from freshly resected tumors with single-cell RNA sequencing (scRNA-seq) to profile transcriptome-wide drug responses in individual patients. We applied this approach to drug perturbations on slices derived from six glioblastoma (GBM) resections to identify conserved drug responses and to one additional GBM resection to identify patient-specific responses. RESULTS: We used scRNA-seq to demonstrate that acute slice cultures recapitulate the cellular and molecular features of the originating tumor tissue and the feasibility of drug screening from an individual tumor. Detailed investigation of etoposide, a topoisomerase poison, and the histone deacetylase (HDAC) inhibitor panobinostat in acute slice cultures revealed cell type-specific responses across multiple patients. Etoposide has a conserved impact on proliferating tumor cells, while panobinostat treatment affects both tumor and non-tumor populations, including unexpected effects on the immune microenvironment. CONCLUSIONS: Acute slice cultures recapitulate the major cellular and molecular features of GBM at the single-cell level. In combination with scRNA-seq, this approach enables cell type-specific analysis of sensitivity to multiple drugs in individual tumors. We anticipate that this approach will facilitate pre-clinical studies that identify effective therapies for solid tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00894-y. |
format | Online Article Text |
id | pubmed-8114529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81145292021-05-12 Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq Zhao, Wenting Dovas, Athanassios Spinazzi, Eleonora Francesca Levitin, Hanna Mendes Banu, Matei Alexandru Upadhyayula, Pavan Sudhakar, Tejaswi Marie, Tamara Otten, Marc L. Sisti, Michael B. Bruce, Jeffrey N. Canoll, Peter Sims, Peter A. Genome Med Research BACKGROUND: Preclinical studies require models that recapitulate the cellular diversity of human tumors and provide insight into the drug sensitivities of specific cellular populations. The ideal platform would enable rapid screening of cell type-specific drug sensitivities directly in patient tumor tissue and reveal strategies to overcome intratumoral heterogeneity. METHODS: We combine multiplexed drug perturbation in acute slice culture from freshly resected tumors with single-cell RNA sequencing (scRNA-seq) to profile transcriptome-wide drug responses in individual patients. We applied this approach to drug perturbations on slices derived from six glioblastoma (GBM) resections to identify conserved drug responses and to one additional GBM resection to identify patient-specific responses. RESULTS: We used scRNA-seq to demonstrate that acute slice cultures recapitulate the cellular and molecular features of the originating tumor tissue and the feasibility of drug screening from an individual tumor. Detailed investigation of etoposide, a topoisomerase poison, and the histone deacetylase (HDAC) inhibitor panobinostat in acute slice cultures revealed cell type-specific responses across multiple patients. Etoposide has a conserved impact on proliferating tumor cells, while panobinostat treatment affects both tumor and non-tumor populations, including unexpected effects on the immune microenvironment. CONCLUSIONS: Acute slice cultures recapitulate the major cellular and molecular features of GBM at the single-cell level. In combination with scRNA-seq, this approach enables cell type-specific analysis of sensitivity to multiple drugs in individual tumors. We anticipate that this approach will facilitate pre-clinical studies that identify effective therapies for solid tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00894-y. BioMed Central 2021-05-11 /pmc/articles/PMC8114529/ /pubmed/33975634 http://dx.doi.org/10.1186/s13073-021-00894-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhao, Wenting Dovas, Athanassios Spinazzi, Eleonora Francesca Levitin, Hanna Mendes Banu, Matei Alexandru Upadhyayula, Pavan Sudhakar, Tejaswi Marie, Tamara Otten, Marc L. Sisti, Michael B. Bruce, Jeffrey N. Canoll, Peter Sims, Peter A. Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title | Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title_full | Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title_fullStr | Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title_full_unstemmed | Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title_short | Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq |
title_sort | deconvolution of cell type-specific drug responses in human tumor tissue with single-cell rna-seq |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114529/ https://www.ncbi.nlm.nih.gov/pubmed/33975634 http://dx.doi.org/10.1186/s13073-021-00894-y |
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