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Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance
BACKGROUND: Tumors can evolve and adapt to therapeutic pressure by acquiring genetic and epigenetic alterations that may be transient or stable. A precise understanding of how such events contribute to intratumoral heterogeneity, dynamic subpopulations, and overall tumor fitness will require experim...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364565/ https://www.ncbi.nlm.nih.gov/pubmed/32669109 http://dx.doi.org/10.1186/s13059-020-02085-1 |
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author | Eyler, Christine E. Matsunaga, Hironori Hovestadt, Volker Vantine, Samantha J. van Galen, Peter Bernstein, Bradley E. |
author_facet | Eyler, Christine E. Matsunaga, Hironori Hovestadt, Volker Vantine, Samantha J. van Galen, Peter Bernstein, Bradley E. |
author_sort | Eyler, Christine E. |
collection | PubMed |
description | BACKGROUND: Tumors can evolve and adapt to therapeutic pressure by acquiring genetic and epigenetic alterations that may be transient or stable. A precise understanding of how such events contribute to intratumoral heterogeneity, dynamic subpopulations, and overall tumor fitness will require experimental approaches to prospectively label, track, and characterize resistant or otherwise adaptive populations at the single-cell level. In glioblastoma, poor efficacy of receptor tyrosine kinase (RTK) therapies has been alternatively ascribed to genetic heterogeneity or to epigenetic transitions that circumvent signaling blockade. RESULTS: We combine cell lineage barcoding and single-cell transcriptomics to trace the emergence of drug resistance in stem-like glioblastoma cells treated with RTK inhibitors. Whereas a broad variety of barcoded lineages adopt a Notch-dependent persister phenotype that sustains them through early drug exposure, rare subclones acquire genetic changes that enable their rapid outgrowth over time. Single-cell analyses reveal that these genetic subclones gain copy number amplifications of the insulin receptor substrate-1 and substrate-2 (IRS1 or IRS2) loci, which activate insulin and AKT signaling programs. Persister-like cells and genomic amplifications of IRS2 and other loci are evident in primary glioblastomas and may underlie the inefficacy of targeted therapies in this disease. CONCLUSIONS: A method for combined lineage tracing and scRNA-seq reveals the interplay between complementary genetic and epigenetic mechanisms of resistance in a heterogeneous glioblastoma tumor model. |
format | Online Article Text |
id | pubmed-7364565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73645652020-07-20 Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance Eyler, Christine E. Matsunaga, Hironori Hovestadt, Volker Vantine, Samantha J. van Galen, Peter Bernstein, Bradley E. Genome Biol Research BACKGROUND: Tumors can evolve and adapt to therapeutic pressure by acquiring genetic and epigenetic alterations that may be transient or stable. A precise understanding of how such events contribute to intratumoral heterogeneity, dynamic subpopulations, and overall tumor fitness will require experimental approaches to prospectively label, track, and characterize resistant or otherwise adaptive populations at the single-cell level. In glioblastoma, poor efficacy of receptor tyrosine kinase (RTK) therapies has been alternatively ascribed to genetic heterogeneity or to epigenetic transitions that circumvent signaling blockade. RESULTS: We combine cell lineage barcoding and single-cell transcriptomics to trace the emergence of drug resistance in stem-like glioblastoma cells treated with RTK inhibitors. Whereas a broad variety of barcoded lineages adopt a Notch-dependent persister phenotype that sustains them through early drug exposure, rare subclones acquire genetic changes that enable their rapid outgrowth over time. Single-cell analyses reveal that these genetic subclones gain copy number amplifications of the insulin receptor substrate-1 and substrate-2 (IRS1 or IRS2) loci, which activate insulin and AKT signaling programs. Persister-like cells and genomic amplifications of IRS2 and other loci are evident in primary glioblastomas and may underlie the inefficacy of targeted therapies in this disease. CONCLUSIONS: A method for combined lineage tracing and scRNA-seq reveals the interplay between complementary genetic and epigenetic mechanisms of resistance in a heterogeneous glioblastoma tumor model. BioMed Central 2020-07-15 /pmc/articles/PMC7364565/ /pubmed/32669109 http://dx.doi.org/10.1186/s13059-020-02085-1 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Eyler, Christine E. Matsunaga, Hironori Hovestadt, Volker Vantine, Samantha J. van Galen, Peter Bernstein, Bradley E. Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title | Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title_full | Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title_fullStr | Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title_full_unstemmed | Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title_short | Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
title_sort | single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364565/ https://www.ncbi.nlm.nih.gov/pubmed/32669109 http://dx.doi.org/10.1186/s13059-020-02085-1 |
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