Publication

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

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Last modified
  • 05/22/2025
Type of Material
Authors
    Verena Haage, Max Delbruck Center for Molecular MedicineMarcus Semtner, Max Delbruck Center for Molecular MedicineRamon Oliveira Vidal, Max Delbruck Center for Molecular MedicineDaniel Perez Hernandez, Max Delbruck Center for Molecular MedicineWinnie W. Pong, Washington UniversityZhihong Chen, Emory UniversityDolares Hambardzumyan, Emory UniversityVincent Magrini, Washington UniversityAmy Ly, Washington UniversityJason Walker, Washington UniversityElaine Mardis, Washington UniversityPhilipp Mertins, Max Delbruck Center for Molecular MedicineSascha Sauer, Max Delbruck Center for Molecular MedicineHalmut Kettenmann, Max Delbruck Center for Molecular MedicineDavid H. Gutmann, Max Delbruck Center for Molecular Medicine
Language
  • English
Date
  • 2019-02-14
Publisher
  • BMC (part of Springer Nature)
Publication Version
Copyright Statement
  • © The Author(s). 2019
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 2051-5960
Volume
  • 7
Issue
  • 1
Start Page
  • 20
End Page
  • 20
Grant/Funding Information
  • D.H.G. is an Alexander von Humboldt Fellow.
  • The work was supported by the NeuroCure Cluster of Excellence, a Berlin Institute of Health/Einstein fellowship grant to D.H.G. and H.K.
Supplemental Material (URL)
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.
Author Notes
Keywords
Research Categories
  • Biology, Neuroscience
  • Biology, Molecular
  • Biology, Genetics

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