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000269672 1001_ $$0P:(DE-2719)9001595$$aScholz, Rebekka$$b0$$eFirst author$$udzne
000269672 245__ $$aEpigenetic control of microglial immune responses.
000269672 260__ $$aOxford$$bWiley-Blackwell$$c2024
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000269672 520__ $$aMicroglia, the major population of brain-resident macrophages, are now recognized as a heterogeneous population comprising several cell subtypes with different (so far mostly supposed) functions in health and disease. A number of studies have performed molecular characterization of these different microglial activation states over the last years making use of 'omics' technologies, that is transcriptomics, proteomics and, less frequently, epigenomics profiling. These approaches offer the possibility to identify disease mechanisms, discover novel diagnostic biomarkers, and develop new therapeutic strategies. Here, we focus on epigenetic profiling as a means to understand microglial immune responses beyond what other omics methods can offer, that is, revealing past and present molecular responses, gene regulatory networks and potential future response trajectories, and defining cell subtype-specific disease relevance through mapping non-coding genetic variants. We review the current knowledge in the field regarding epigenetic regulation of microglial identity and function, provide an exemplary analysis that demonstrates the advantages of performing joint transcriptomic and epigenomic profiling of single microglial cells and discuss how comprehensive epigenetic analyses may enhance our understanding of microglial pathophysiology.
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000269672 650_7 $$2Other$$aATAC‐seq
000269672 650_7 $$2Other$$aATAC‐seq
000269672 650_7 $$2Other$$aAlzheimer
000269672 650_7 $$2Other$$aChIP‐seq
000269672 650_7 $$2Other$$aaging
000269672 650_7 $$2Other$$aepigenetics
000269672 650_7 $$2Other$$amicroglia
000269672 650_7 $$2Other$$aChIP‐seq
000269672 650_2 $$2MeSH$$aMicroglia: immunology
000269672 650_2 $$2MeSH$$aMicroglia: metabolism
000269672 650_2 $$2MeSH$$aEpigenesis, Genetic
000269672 650_2 $$2MeSH$$aHumans
000269672 650_2 $$2MeSH$$aAnimals
000269672 650_2 $$2MeSH$$aEpigenomics: methods
000269672 650_2 $$2MeSH$$aTranscriptome
000269672 650_2 $$2MeSH$$aImmunity: genetics
000269672 650_2 $$2MeSH$$aGene Regulatory Networks
000269672 650_2 $$2MeSH$$aGene Expression Profiling
000269672 650_2 $$2MeSH$$aBrain: immunology
000269672 650_2 $$2MeSH$$aBrain: metabolism
000269672 693__ $$0EXP:(DE-2719)PRECISE-20190321$$5EXP:(DE-2719)PRECISE-20190321$$ePlatform for Single Cell Genomics and Epigenomics at DZNE  University of Bonn$$x0
000269672 7001_ $$0P:(DE-2719)9000502$$aBrösamle, Desirée$$b1$$udzne
000269672 7001_ $$0P:(DE-2719)9002065$$aYuan, Xidi$$b2$$udzne
000269672 7001_ $$0P:(DE-2719)2812219$$aBeyer, Marc$$b3$$udzne
000269672 7001_ $$0P:(DE-2719)2811021$$aNeher, Jonas J$$b4$$eLast author
000269672 773__ $$0PERI:(DE-600)2038276-5$$a10.1111/imr.13317$$gVol. 323, no. 1, p. 209 - 226$$n1$$p209 - 226$$tImmunological reviews$$v323$$x0105-2896$$y2024
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