Evaluating microglial phenotypes using single-cell technologies

被引:12
|
作者
Sankowski, Roman [1 ,2 ,3 ]
Monaco, Gianni [1 ,3 ]
Prinz, Marco [1 ,4 ,5 ,6 ]
机构
[1] Univ Freiburg, Fac Med, Inst Neuropathol, Freiburg, Germany
[2] Univ Freiburg, Fac Med, Berta Ottenstein Programme Clinician Scientists, Freiburg, Germany
[3] Univ Freiburg, Fac Med, Single Cell Om Platform Freiburg, Freiburg, Germany
[4] Univ Freiburg, Signalling Res Ctr BIOSS, Freiburg, Germany
[5] Univ Freiburg, CIBSS, Freiburg, Germany
[6] Univ Freiburg, Fac Med, Ctr Basics NeuroModulat NeuroModulBasics, Freiburg, Germany
关键词
GENE-EXPRESSION; SEQ; HETEROGENEITY; NOISE; IDENTIFICATION; ORIGIN;
D O I
10.1016/j.tins.2021.11.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Recent single-cell technologies have enabled researchers to simultaneously assess the transcriptomes and other modalities of thousands of cells within their spatial context. Here, we have summarized available single-cell methods for dissociated tissues and tissue slides with respect to the specifics of microglial biology. We have focused on next-generation-based technologies. We review the potential of these single-cell sequencing methods and newer multiomics approaches to extend the understanding of microglia function beyond the status quo.
引用
收藏
页码:133 / 144
页数:12
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