bioRxivNeurosciencePreprint
A factor-based analysis of individual human microglia uncovers regulators of an Alzheimer-related transcriptional signature
Victoria S. MarsheiD, John F. TuddenhamiD, Kevin W. CheniD, Rebecca ChiuiD, Verena Claudia HaageiD, Yiyi MaiD, Annie LeeiD, Neil A. ShneideriD, Julian Agin‐LiebesiD, Roy N. AlcalayiD, Andrew F. TeichiD, Peter CanolliD, Claire RileyiD, Dirk Keene, Julie A. SchneideriD, David Alan BennettiD, Vilas MenoniD, Mariko F. TagaiD, Hans‐Ulrich KleiniD, Marta OlahiD, Masashi FujitaiD, Ya ZhangiD, Peter A. SimsiD, Philip L. De JageriD
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 Alzheimers 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.
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