The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, Scotland, United Kingdom.
UK Dementia Research Institute at The University of Edinburgh, Edinburgh Medical School, The Chancellor's Building, 49 Little France Crescent, Edinburgh, United Kingdom.
Glia. 2019 Jul;67(7):1240-1253. doi: 10.1002/glia.23572. Epub 2019 Feb 13.
Growing recognition of the pivotal role microglia play in neurodegenerative and neuroinflammatory disorders has accentuated the need to characterize their function in health and disease. Studies in mouse have applied transcriptome-wide profiling of microglia to reveal key features of microglial ontogeny, functional profile, and phenotypic diversity. While similar, human microglia exhibit clear differences to their mouse counterparts, underlining the need to develop a better understanding of the human microglial profile. On examining published microglia gene signatures, limited consistency was observed between studies. Hence, we sought to derive a core microglia signature of the human central nervous system (CNS), through a comprehensive analysis of existing transcriptomic datasets. Nine datasets derived from cells and tissues, isolated from various regions of the CNS across numerous donors, were subjected independently to an unbiased correlation network analysis. From each dataset, a list of coexpressing genes corresponding to microglia was identified, with 249 genes highly conserved between them. This core signature included known microglial markers, and compared with other signatures provides a gene set specific to microglia in the context of the CNS. The utility of this signature was demonstrated by its use in detecting qualitative and quantitative region-specific alterations in aging and Alzheimer's disease. These analyses highlighted the reactive response of microglia in vulnerable brain regions such as the entorhinal cortex and hippocampus, additionally implicating pathways associated with disease progression. We believe this resource and the analyses described here, will support further investigations to the contribution of human microglia in CNS health and disease.
人们越来越认识到小胶质细胞在神经退行性和神经炎症性疾病中的关键作用,这凸显了需要对其在健康和疾病中的功能进行特征描述。在小鼠中的研究已经应用了小胶质细胞的转录组谱分析,以揭示小胶质细胞发生、功能特征和表型多样性的关键特征。虽然类似,但人类小胶质细胞与它们的小鼠对应物存在明显差异,这强调了需要更好地理解人类小胶质细胞的特征。在检查已发表的小胶质细胞基因特征时,研究之间观察到的一致性有限。因此,我们试图通过对现有转录组数据集的综合分析,得出人类中枢神经系统(CNS)的核心小胶质细胞特征。从来自不同供体的 CNS 不同区域分离的细胞和组织中获得的九个数据集,独立地进行了无偏相关网络分析。从每个数据集确定了与小胶质细胞对应的共表达基因列表,其中 249 个基因在它们之间高度保守。这个核心特征包括已知的小胶质细胞标志物,与其他特征相比,它提供了一个在 CNS 背景下针对小胶质细胞的基因集。该特征的实用性通过其在检测衰老和阿尔茨海默病中的定性和定量区域特异性改变中的应用得到了证明。这些分析强调了小胶质细胞在易受影响的大脑区域(如内嗅皮层和海马体)中的反应性,此外还涉及与疾病进展相关的途径。我们相信,这个资源和这里描述的分析将支持对人类小胶质细胞在 CNS 健康和疾病中的贡献的进一步研究。