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@ARTICLE{Scholz:269672,
      author       = {Scholz, Rebekka and Brösamle, Desirée and Yuan, Xidi and
                      Beyer, Marc and Neher, Jonas J},
      title        = {{E}pigenetic control of microglial immune responses.},
      journal      = {Immunological reviews},
      volume       = {323},
      number       = {1},
      issn         = {0105-2896},
      address      = {Oxford},
      publisher    = {Wiley-Blackwell},
      reportid     = {DZNE-2024-00586},
      pages        = {209 - 226},
      year         = {2024},
      abstract     = {Microglia, 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.},
      subtyp        = {Review Article},
      keywords     = {Microglia: immunology / Microglia: metabolism / Epigenesis,
                      Genetic / Humans / Animals / Epigenomics: methods /
                      Transcriptome / Immunity: genetics / Gene Regulatory
                      Networks / Gene Expression Profiling / Brain: immunology /
                      Brain: metabolism / ATAC‐seq (Other) / ATAC‐seq (Other)
                      / Alzheimer (Other) / ChIP‐seq (Other) / aging (Other) /
                      epigenetics (Other) / microglia (Other) / ChIP‐seq
                      (Other)},
      cin          = {AG Neher (Tübingen) / AG Beyer / PRECISE},
      ddc          = {610},
      cid          = {I:(DE-2719)1210012 / I:(DE-2719)1013035 /
                      I:(DE-2719)1013031},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 351 - Brain Function
                      (POF4-351)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-351},
      experiment   = {EXP:(DE-2719)PRECISE-20190321},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38491845},
      doi          = {10.1111/imr.13317},
      url          = {https://pub.dzne.de/record/269672},
}