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Single-cell transcriptome analysis of lineage diversity in high-grade glioma
BACKGROUND: Despite extensive molecular characterization, we lack a comprehensive understanding of lineage identity, differentiation, and proliferation in high-grade gliomas (HGGs). METHODS: We sampled the cellular milieu of HGGs by profiling dissociated human surgical specimens with a high-density...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058390/ https://www.ncbi.nlm.nih.gov/pubmed/30041684 http://dx.doi.org/10.1186/s13073-018-0567-9 |
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author | Yuan, Jinzhou Levitin, Hanna Mendes Frattini, Veronique Bush, Erin C. Boyett, Deborah M. Samanamud, Jorge Ceccarelli, Michele Dovas, Athanassios Zanazzi, George Canoll, Peter Bruce, Jeffrey N. Lasorella, Anna Iavarone, Antonio Sims, Peter A. |
author_facet | Yuan, Jinzhou Levitin, Hanna Mendes Frattini, Veronique Bush, Erin C. Boyett, Deborah M. Samanamud, Jorge Ceccarelli, Michele Dovas, Athanassios Zanazzi, George Canoll, Peter Bruce, Jeffrey N. Lasorella, Anna Iavarone, Antonio Sims, Peter A. |
author_sort | Yuan, Jinzhou |
collection | PubMed |
description | BACKGROUND: Despite extensive molecular characterization, we lack a comprehensive understanding of lineage identity, differentiation, and proliferation in high-grade gliomas (HGGs). METHODS: We sampled the cellular milieu of HGGs by profiling dissociated human surgical specimens with a high-density microwell system for massively parallel single-cell RNA-Seq. We analyzed the resulting profiles to identify subpopulations of both HGG and microenvironmental cells and applied graph-based methods to infer structural features of the malignantly transformed populations. RESULTS: While HGG cells can resemble glia or even immature neurons and form branched lineage structures, mesenchymal transformation results in unstructured populations. Glioma cells in a subset of mesenchymal tumors lose their neural lineage identity, express inflammatory genes, and co-exist with marked myeloid infiltration, reminiscent of molecular interactions between glioma and immune cells established in animal models. Additionally, we discovered a tight coupling between lineage resemblance and proliferation among malignantly transformed cells. Glioma cells that resemble oligodendrocyte progenitors, which proliferate in the brain, are often found in the cell cycle. Conversely, glioma cells that resemble astrocytes, neuroblasts, and oligodendrocytes, which are non-proliferative in the brain, are generally non-cycling in tumors. CONCLUSIONS: These studies reveal a relationship between cellular identity and proliferation in HGG and distinct population structures that reflects the extent of neural and non-neural lineage resemblance among malignantly transformed cells. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0567-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6058390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60583902018-07-30 Single-cell transcriptome analysis of lineage diversity in high-grade glioma Yuan, Jinzhou Levitin, Hanna Mendes Frattini, Veronique Bush, Erin C. Boyett, Deborah M. Samanamud, Jorge Ceccarelli, Michele Dovas, Athanassios Zanazzi, George Canoll, Peter Bruce, Jeffrey N. Lasorella, Anna Iavarone, Antonio Sims, Peter A. Genome Med Research BACKGROUND: Despite extensive molecular characterization, we lack a comprehensive understanding of lineage identity, differentiation, and proliferation in high-grade gliomas (HGGs). METHODS: We sampled the cellular milieu of HGGs by profiling dissociated human surgical specimens with a high-density microwell system for massively parallel single-cell RNA-Seq. We analyzed the resulting profiles to identify subpopulations of both HGG and microenvironmental cells and applied graph-based methods to infer structural features of the malignantly transformed populations. RESULTS: While HGG cells can resemble glia or even immature neurons and form branched lineage structures, mesenchymal transformation results in unstructured populations. Glioma cells in a subset of mesenchymal tumors lose their neural lineage identity, express inflammatory genes, and co-exist with marked myeloid infiltration, reminiscent of molecular interactions between glioma and immune cells established in animal models. Additionally, we discovered a tight coupling between lineage resemblance and proliferation among malignantly transformed cells. Glioma cells that resemble oligodendrocyte progenitors, which proliferate in the brain, are often found in the cell cycle. Conversely, glioma cells that resemble astrocytes, neuroblasts, and oligodendrocytes, which are non-proliferative in the brain, are generally non-cycling in tumors. CONCLUSIONS: These studies reveal a relationship between cellular identity and proliferation in HGG and distinct population structures that reflects the extent of neural and non-neural lineage resemblance among malignantly transformed cells. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0567-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-24 /pmc/articles/PMC6058390/ /pubmed/30041684 http://dx.doi.org/10.1186/s13073-018-0567-9 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Yuan, Jinzhou Levitin, Hanna Mendes Frattini, Veronique Bush, Erin C. Boyett, Deborah M. Samanamud, Jorge Ceccarelli, Michele Dovas, Athanassios Zanazzi, George Canoll, Peter Bruce, Jeffrey N. Lasorella, Anna Iavarone, Antonio Sims, Peter A. Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title | Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title_full | Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title_fullStr | Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title_full_unstemmed | Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title_short | Single-cell transcriptome analysis of lineage diversity in high-grade glioma |
title_sort | single-cell transcriptome analysis of lineage diversity in high-grade glioma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058390/ https://www.ncbi.nlm.nih.gov/pubmed/30041684 http://dx.doi.org/10.1186/s13073-018-0567-9 |
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