Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783395643882995712
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
work_keys_str_mv AT haageverena comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT semtnermarcus comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT vidalramonoliveira comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT hernandezdanielperez comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT pongwinniew comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT chenzhihong comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT hambardzumyandolores comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT magrinivincent comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT lyamy comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT walkerjason comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT mardiselaine comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT mertinsphilipp comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT sauersascha comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT kettenmannhelmut comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma
AT gutmanndavidh comprehensivegeneexpressionmetaanalysisidentifiessignaturegenesthatdistinguishmicrogliafromperipheralmonocytesmacrophagesinhealthandglioma