Comparative analysis identifies similarities between the human and murine microglial sensomes

Erik R. Abels, Lisa Nieland, Suzanne Hickman, Marike L.D. Broekman, Joseph El Khoury*, Sybren L.N. Maas

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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.

Original languageEnglish
Article number1495
Number of pages15
JournalInternational journal of molecular sciences
Volume22
Issue number3
DOIs
Publication statusPublished - 1 Feb 2021

Keywords

  • Aging/genetics
  • Animals
  • Cerebral Cortex/metabolism
  • Datasets as Topic
  • Gene Expression
  • Gene Ontology
  • Humans
  • Inflammation/genetics
  • Mice
  • Microglia/metabolism
  • Nerve Tissue Proteins/genetics
  • Neurodegenerative Diseases/genetics
  • RNA, Messenger/biosynthesis
  • RNA-Seq
  • Receptors, Cell Surface/analysis
  • Species Specificity
  • microglia
  • RNAseq
  • sensome
  • aging
  • gene expression

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