Comparative analysis identifies similarities between the human and murine microglial sensomes

• Verfasst von: Abels, Erik R. [VerfasserIn]
• Verfasst von: Nieland, Lisa [VerfasserIn]
• Verfasst von: Hickman, Suzanne [VerfasserIn]
• Verfasst von: Broekman, Marike L. D. [VerfasserIn]
• Verfasst von: El Khoury, Joseph [VerfasserIn]
• Verfasst von: Maas, Sybren L. N. [VerfasserIn]
• Titel: Comparative analysis identifies similarities between the human and murine microglial sensomes
• Verf.angabe: Erik R. Abels, Lisa Nieland, Suzanne Hickman, Marike L.D. Broekman, Joseph El Khoury and Sybren L.N. Maas
• E-Jahr: 2021
• Jahr: 2 February 2021
• Umfang: 15 S.
• Fussnoten: Gesehen am 26.11.2021
• Titel Quelle: Enthalten in: International journal of molecular sciences
• Ort Quelle: Basel : Molecular Diversity Preservation International, 2000
• Jahr Quelle: 2021
• Band/Heft Quelle: 22(2021), 3, Artikel-ID 1495, Seite 1-15
• ISSN Quelle: 1422-0067
• ISSN Quelle: 1661-6596
• DOI: doi:10.3390/ijms22031495
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: aging
• Sach-SW: gene expression
• Sach-SW: microglia
• Sach-SW: RNAseq
• Sach-SW: sensome
• K10plus-PPN: 1751181944

Abstract

One of the essential functions of microglia is to continuously sense changes in their environment and adapt to those changes. For this purpose, they use a set of genes termed the sensome. This sensome is comprised of the most abundantly expressed receptors on the surface of microglia. In this study, we updated previously identified mouse microglial sensome by incorporating an additional published RNAseq dataset into the data-analysis pipeline. We also identified members of the human microglial sensome using two independent human microglia RNAseq data sources. Using both the mouse and human microglia sensomes, we identified a key set of genes conserved between the mouse and human microglial sensomes as well as some differences between the species. We found a key set of 57 genes to be conserved in both mouse and human microglial sensomes. We define these genes as the “microglia core sensome”. We then analyzed expression of genes in this core sensome in five different datasets from two neurodegenerative disease models at various stages of the diseases and found that, overall, changes in the level of expression of microglial sensome genes are specific to the disease or condition studied. Our results highlight the relevance of data generated in mice for understanding the biology of human microglia, but also stress the importance of species-specific gene sets for the investigation of diseases involving microglia. Defining this microglial specific core sensome may help identify pathological changes in microglia in humans and mouse models of human disease.