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000155703 0247_ $$2doi$$a10.1016/j.molmed.2020.09.001
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000155703 0247_ $$2ISSN$$a1471-4914
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000155703 041__ $$aEnglish
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000155703 1001_ $$0P:(DE-2719)9000707$$aProvenzano, Francesca$$b0$$eFirst author$$udzne
000155703 245__ $$aRedefining Microglial Identity in Health and Disease at Single-Cell Resolution.
000155703 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2021
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000155703 520__ $$aMicroglia have long been considered a homogenous cell population that uniformly responds to extrinsic factors. Here, we describe how the recent development of single-cell technologies has revealed the heterogeneity of both human and mouse microglia and identified distinct microglial states linked to specific developmental, aging, and disease stages. We discuss progress and future developments in data analysis, essential tools for the comprehension of big data derived from single-cell omics, and the necessity of integrating such data with functional studies to correlate genetic cues with the relevant biological functions of microglia. Defining the functional correlates of distinct microglia states is fundamental to dissecting the 'microglial etiology' of aging and complex neurological diseases and identifying novel therapeutic and diagnostic targets.
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000155703 650_2 $$2MeSH$$aAnimals
000155703 650_2 $$2MeSH$$aDisease Susceptibility
000155703 650_2 $$2MeSH$$aGenomics: methods
000155703 650_2 $$2MeSH$$aHomeostasis
000155703 650_2 $$2MeSH$$aHumans
000155703 650_2 $$2MeSH$$aMetabolomics: methods
000155703 650_2 $$2MeSH$$aMicroglia: physiology
000155703 650_2 $$2MeSH$$aProteomics: methods
000155703 650_2 $$2MeSH$$aSingle-Cell Analysis: methods
000155703 7001_ $$0P:(DE-2719)9001465$$aPérez, María José$$b1$$udzne
000155703 7001_ $$0P:(DE-2719)2810385$$aDeleidi, Michela$$b2$$eLast author$$udzne
000155703 773__ $$0PERI:(DE-600)2155736-6$$a10.1016/j.molmed.2020.09.001$$gVol. 27, no. 1, p. 47 - 59$$n1$$p47 - 59$$tTrends in molecular medicine$$v27$$x1471-4914$$y2021
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000155703 9141_ $$y2021
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