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Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma
Monocytes/macrophages have begun to emerge as key cellular modulators of brain homeostasis and central nervous system (CNS) disease. In the healthy brain, resident microglia are the predominant macrophage cell population; however, under conditions of blood-brain barrier leakage, peripheral monocytes...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376799/ https://www.ncbi.nlm.nih.gov/pubmed/30764877 http://dx.doi.org/10.1186/s40478-019-0665-y |
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author | Haage, Verena Semtner, Marcus Vidal, Ramon Oliveira Hernandez, Daniel Perez Pong, Winnie W. Chen, Zhihong Hambardzumyan, Dolores Magrini, Vincent Ly, Amy Walker, Jason Mardis, Elaine Mertins, Philipp Sauer, Sascha Kettenmann, Helmut Gutmann, David H. |
author_facet | Haage, Verena Semtner, Marcus Vidal, Ramon Oliveira Hernandez, Daniel Perez Pong, Winnie W. Chen, Zhihong Hambardzumyan, Dolores Magrini, Vincent Ly, Amy Walker, Jason Mardis, Elaine Mertins, Philipp Sauer, Sascha Kettenmann, Helmut Gutmann, David H. |
author_sort | Haage, Verena |
collection | PubMed |
description | Monocytes/macrophages have begun to emerge as key cellular modulators of brain homeostasis and central nervous system (CNS) disease. In the healthy brain, resident microglia are the predominant macrophage cell population; however, under conditions of blood-brain barrier leakage, peripheral monocytes/macrophages can infiltrate the brain and participate in CNS disease pathogenesis. Distinguishing these two populations is often challenging, owing to a paucity of universally accepted and reliable markers. To identify discriminatory marker sets for microglia and peripheral monocytes/macrophages, we employed a large meta-analytic approach using five published murine transcriptional datasets. Following hierarchical clustering, we filtered the top differentially expressed genes (DEGs) through a brain cell type-specific sequencing database, which led to the identification of eight microglia and eight peripheral monocyte/macrophage markers. We then validated their differential expression, leveraging a published single cell RNA sequencing dataset and quantitative RT-PCR using freshly isolated microglia and peripheral monocytes/macrophages from two different mouse strains. We further verified the translation of these DEGs at the protein level. As top microglia DEGs, we identified P2ry12, Tmem119, Slc2a5 and Fcrls, whereas Emilin2, Gda, Hp and Sell emerged as the best DEGs for identifying peripheral monocytes/macrophages. Lastly, we evaluated their utility in discriminating monocyte/macrophage populations in the setting of brain pathology (glioma), and found that these DEG sets distinguished glioma-associated microglia from macrophages in both RCAS and GL261 mouse models of glioblastoma. Taken together, this unbiased bioinformatic approach facilitated the discovery of a robust set of microglia and peripheral monocyte/macrophage expression markers to discriminate these monocyte populations in both health and disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-019-0665-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6376799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63767992019-02-27 Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma Haage, Verena Semtner, Marcus Vidal, Ramon Oliveira Hernandez, Daniel Perez Pong, Winnie W. Chen, Zhihong Hambardzumyan, Dolores Magrini, Vincent Ly, Amy Walker, Jason Mardis, Elaine Mertins, Philipp Sauer, Sascha Kettenmann, Helmut Gutmann, David H. Acta Neuropathol Commun Research Monocytes/macrophages have begun to emerge as key cellular modulators of brain homeostasis and central nervous system (CNS) disease. In the healthy brain, resident microglia are the predominant macrophage cell population; however, under conditions of blood-brain barrier leakage, peripheral monocytes/macrophages can infiltrate the brain and participate in CNS disease pathogenesis. Distinguishing these two populations is often challenging, owing to a paucity of universally accepted and reliable markers. To identify discriminatory marker sets for microglia and peripheral monocytes/macrophages, we employed a large meta-analytic approach using five published murine transcriptional datasets. Following hierarchical clustering, we filtered the top differentially expressed genes (DEGs) through a brain cell type-specific sequencing database, which led to the identification of eight microglia and eight peripheral monocyte/macrophage markers. We then validated their differential expression, leveraging a published single cell RNA sequencing dataset and quantitative RT-PCR using freshly isolated microglia and peripheral monocytes/macrophages from two different mouse strains. We further verified the translation of these DEGs at the protein level. As top microglia DEGs, we identified P2ry12, Tmem119, Slc2a5 and Fcrls, whereas Emilin2, Gda, Hp and Sell emerged as the best DEGs for identifying peripheral monocytes/macrophages. Lastly, we evaluated their utility in discriminating monocyte/macrophage populations in the setting of brain pathology (glioma), and found that these DEG sets distinguished glioma-associated microglia from macrophages in both RCAS and GL261 mouse models of glioblastoma. Taken together, this unbiased bioinformatic approach facilitated the discovery of a robust set of microglia and peripheral monocyte/macrophage expression markers to discriminate these monocyte populations in both health and disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-019-0665-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-14 /pmc/articles/PMC6376799/ /pubmed/30764877 http://dx.doi.org/10.1186/s40478-019-0665-y Text en © The Author(s). 2019 Open AccessThis 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 Haage, Verena Semtner, Marcus Vidal, Ramon Oliveira Hernandez, Daniel Perez Pong, Winnie W. Chen, Zhihong Hambardzumyan, Dolores Magrini, Vincent Ly, Amy Walker, Jason Mardis, Elaine Mertins, Philipp Sauer, Sascha Kettenmann, Helmut Gutmann, David H. Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title | Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title_full | Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title_fullStr | Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title_full_unstemmed | Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title_short | Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
title_sort | comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376799/ https://www.ncbi.nlm.nih.gov/pubmed/30764877 http://dx.doi.org/10.1186/s40478-019-0665-y |
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