A factor-based analysis of individual human microglia uncovers regulators of an Alzheimer-related transcriptional signature.

Victoria S Marshe, John F Tuddenham, Kevin Chen, Rebecca Chiu, Verena C Haage, Yiyi Ma, Annie J Lee, Neil A Shneider, Julian P Agin-Liebes, Roy N Alcalay, Andrew F Teich, Peter Canoll, Claire S Riley, Dirk Keene, Julie A Schneider, David A Bennett, Vilas Menon, Mariko Taga, Hans-Ulrich Klein, Marta Olah, Masashi Fujita, Ya Zhang, Peter A Sims, Philip L De Jager
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Abstract

Human microglial heterogeneity is only beginning to be appreciated at the molecular level. Here, we present a large, single-cell atlas of expression signatures from 441,088 live microglia broadly sampled across a diverse set of brain regions and neurodegenerative and neuroinflammatory diseases obtained from 161 donors sampled at autopsy or during a neurosurgical procedure. Using single-cell hierarchical Poisson factorization (scHPF), we derived a 23-factor model for continuous gene expression signatures across microglia which capture specific biological processes (e.g., metabolism, phagocytosis, antigen presentation, inflammatory signaling, disease-associated states). Using external datasets, we evaluated the aspects of microglial phenotypes that are encapsulated in various in vitro and in vivo microglia models and identified and replicated the role of two factors in human postmortem tissue of Alzheimer's disease (AD). Further, we derived a complex network of transcriptional regulators for all factors, including regulators of an AD-related factor enriched for the mouse disease-associated microglia 2 (DAM2) signature: ARID5B , CEBPA , MITF , and PPARG . We replicated the role of these four regulators in the AD-related factor and then designed a multiplexed MERFISH panel to assess our microglial factors using spatial transcriptomics. We find that, unlike cells with high expression of the interferon-response factor, cells with high expression of the AD DAM2-like factor are widely distributed in neocortical tissue. We thus propose a novel analytic framework that provides a taxonomic approach for microglia that is more biologically interpretable and use it to uncover new therapeutic targets for AD.

一项基于个体人类小胶质细胞的因子分析揭示了阿尔茨海默病相关转录信号的调节因子。
人类小胶质细胞的异质性才刚刚开始在分子水平上得到认识。在这里,我们展示了一个大型单细胞表达特征图谱,该图谱从 161 名在尸检或神经外科手术过程中取样的供体中提取了 441,088 个活体小胶质细胞,这些小胶质细胞广泛分布于不同的脑区、神经退行性疾病和神经炎症性疾病。利用单细胞分层泊松因子化(scHPF),我们得出了小胶质细胞连续基因表达特征的 23 个因子模型,该模型捕捉了特定的生物过程(如新陈代谢、吞噬、抗原递呈、炎症信号转导、疾病相关状态)。利用外部数据集,我们评估了各种体外和体内小胶质细胞模型所包含的小胶质细胞表型的各个方面,并确定和复制了两种因素在阿尔茨海默病(AD)人类尸检组织中的作用。此外,我们还得出了所有因子转录调控因子的复杂网络,包括富含小鼠疾病相关小胶质细胞 2(DAM2)特征的 AD 相关因子的调控因子:ARID5B、CEBPA、MITF 和 PPARG。我们复制了这四个调节因子在 AD 相关因子中的作用,然后设计了一个多重 MERFISH 面板,利用空间转录组学评估我们的小胶质细胞因子。我们发现,与干扰素反应因子高表达的细胞不同,AD DAM2 样因子高表达的细胞广泛分布于新皮质组织中。因此,我们提出了一种新的分析框架,它为小胶质细胞提供了一种在生物学上更容易解释的分类方法,并利用它发现了治疗 AD 的新靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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