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Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma

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Item Type:Article
Title:Comprehensive gene expression meta-analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma
Creators Name:Haage, V. and Semtner, M. and Oliveira Vidal, R. and Perez Hernandez, D. and Pong, W.W. and Chen, Z. and Hambardzumyan, D. and Magrini, V. and Ly, A. and Walker, J. and Mardis, E. and Mertins, P. and Sauer, S. and Kettenmann, H. and Gutmann, D.H.
Abstract: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.
Keywords:Microglia, Monocytes, Glioma, CNS, RNA Sequencing, Microarray, Macrophages, Animals, Mice
Source:Acta Neuropathologica Communications
ISSN:2051-5960
Publisher:BioMed Central (U.K.)
Volume:7
Number:1
Page Range:20
Date:14 February 2019
Official Publication:https://doi.org/10.1186/s40478-019-0665-y
PubMed:View item in PubMed

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