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Phf15-a novel transcriptional repressor regulating inflammation in a mouse microglial cell line

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摘要 Aim: Excessive microglial inflammation has emerged as a key player in mediating the effects of aging and neurodegeneration on brain dysfunction. Thus, there is great interest in discovering transcriptional repressors that can control this process. We aimed to examine whether Phf15 - one of the top differentially expressed genes in microglia during aging in humans - could regulate transcription of proinflammatory mediators in microglia. Methods: Real-time quantitative PCR was used to assess Phf15 mRNA expression in mouse brain during aging. Loss-of-function [short hairpin RNA (shRNA) -mediated knockdown (KD) and CRISPR/Cas9-mediated knockout (KO) of Phf15] and gain-of-function [retroviral overexpression (OE) of murine Phf15 cDNA] studies in a murine microglial cell line (SIM-A9) followed by immune activation with lipopolysaccharide were used to determine the effect of Phf15 on proinflammatory factor (Tnfα , IL-1β , and Nos2) mRNA expression. RNA sequencing was used to determine global transcriptional changes afterPhf15 knockout under basal conditions and after lipopolysaccharide stimulation. Results:Phf15 expression increases in mouse brain during aging, similar to humans. KD, KO, and OE studies determined that Phf15 represses mRNA expression levels of proinflammatory mediators such as Tnfα , IL-1β , and Nos2 . Global transcriptional changes after Phf15 KO showed that Phf15 specifically represses genes related to the antiviral (type I interferon) response and cytokine production in microglia. Conclusion: We provide the first evidence thatPhf15 is an important transcriptional repressor of microglial inflammation, regulating the antiviral response and proinflammatory cytokine production. Importantly, Phf15 regulates both basal and signal-dependent activation and controls the magnitude and duration of the microglial inflammatory response.
出处 《Neuroimmunology and Neuroinflammation》 2020年第2期166-182,共17页 神经免疫与神经炎症(英文版)
基金 This work was supported by the Berkeley Fellowship to S.E.M.,ADA Postdoctoral fellowship to G.A.T.,NSF GRFP to M.K.P.,and R01HD092093 and Pew Scholarship to K.S
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