Human microglia regional heterogeneity and phenotypes determined by multiplexed single-cell mass cytometry

Microglia, the specialized innate immune cells of the CNS, play crucial roles in neural development and function. Different phenotypes and functions have been ascribed to rodent microglia, but little is known about human microglia (huMG) heterogeneity. Difficulties in procuring huMG and their suscep...

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Veröffentlicht in:Nature neuroscience 2019-01, Vol.22 (1), p.78-90
Hauptverfasser: Böttcher, Chotima, Schlickeiser, Stephan, Sneeboer, Marjolein A. M., Kunkel, Desiree, Knop, Anniki, Paza, Evdokia, Fidzinski, Pawel, Kraus, Larissa, Snijders, Gijsje J. L., Kahn, René S, Schulz, Axel R, Mei, Henrik E, Hol, Elly M., Siegmund, Britta, Glauben, Rainer, Spruth, Eike J, de Witte, Lot D, Priller, Josef
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Sprache:eng
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Zusammenfassung:Microglia, the specialized innate immune cells of the CNS, play crucial roles in neural development and function. Different phenotypes and functions have been ascribed to rodent microglia, but little is known about human microglia (huMG) heterogeneity. Difficulties in procuring huMG and their susceptibility to cryopreservation damage have limited large-scale studies. Here we applied multiplexed mass cytometry for a comprehensive characterization of postmortem huMG (10 3 – 10 4 cells). We determined expression levels of 57 markers on huMG isolated from up to five different brain regions of nine donors. We identified the phenotypic signature of huMG, which was distinct from peripheral myeloid cells but was comparable to fresh huMG. We detected microglia regional heterogeneity using a hybrid workflow combining Cytobank and R/Bioconductor for multidimensional data analysis. Together, these methodologies allowed us to perform high-dimensional, large-scale immunophenotyping of huMG at the single-cell level, which facilitates their unambiguous profiling in health and disease. Single-cell mass cytometry was applied to comprehensively characterize postmortem and fresh human microglia. Using a hybrid workflow for multidimensional data analysis, a core signature and regional heterogeneity were identified.
ISSN:1097-6256
1546-1726
DOI:10.1038/s41593-018-0290-2