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@ARTICLE{Papazoglou:269686,
      author       = {Papazoglou, Anna and Henseler, Christina and Weickhardt,
                      Sandra and Daubner, Johanna and Schiffer, Teresa and Broich,
                      Karl and Hescheler, Jürgen and Sachinidis, Agapios and
                      Ehninger, Dan and Haenisch, Britta and Weiergräber, Marco},
      title        = {{S}ex-specific cortical, hippocampal and thalamic whole
                      genome transcriptome data from controls and a {G}72
                      schizophrenia mouse model.},
      journal      = {BMC Research Notes},
      volume       = {17},
      number       = {1},
      issn         = {1756-0500},
      address      = {London},
      publisher    = {[Verlag nicht ermittelbar]},
      reportid     = {DZNE-2024-00600},
      pages        = {143},
      year         = {2024},
      abstract     = {The G72 mouse model of schizophrenia represents a
                      well-known model that was generated to meet the main
                      translational criteria of isomorphism, homology and
                      predictability of schizophrenia to a maximum extent. In
                      order to get a more detailed view of the complex
                      etiopathogenesis of schizophrenia, whole genome
                      transcriptome studies turn out to be indispensable. Here we
                      carried out microarray data collection based on RNA
                      extracted from the retrosplenial cortex, hippocampus and
                      thalamus of G72 transgenic and wild-type control mice.
                      Experimental animals were age-matched and importantly, both
                      sexes were considered separately.The isolated RNA from all
                      three brain regions was purified, quantified und quality
                      controlled before initiation of the hybridization procedure
                      with SurePrint G3 Mouse Gene Expression v2 8 × 60 K
                      microarrays. Following immunofluorescent measurement und
                      preprocessing of image data, raw transcriptome data from G72
                      mice and control animals were extracted and uploaded in a
                      public database. Our data allow insight into significant
                      alterations in gene transcript levels in G72 mice and enable
                      the reader/user to perform further complex analyses to
                      identify potential age-, sex- and brain-region-specific
                      alterations in transcription profiles and related pathways.
                      The latter could facilitate biomarker identification and
                      drug research and development in schizophrenia research.},
      keywords     = {Animals / Schizophrenia: genetics / Schizophrenia:
                      metabolism / Hippocampus: metabolism / Male / Female / Mice
                      / Disease Models, Animal / Transcriptome: genetics /
                      Cerebral Cortex: metabolism / Cerebral Cortex: pathology /
                      Thalamus: metabolism / Mice, Transgenic / Gene Expression
                      Profiling: methods / Sex Factors / Brain (Other) / Fold
                      change (Other) / Hippocampus (Other) / Hybridization (Other)
                      / Microarray (Other) / RNA (Other) / Retrosplenial cortex
                      (Other) / Schizophrenia (Other) / Thalamus (Other) /
                      Transcriptome (Other)},
      cin          = {AG Ehninger / AG Hänisch},
      ddc          = {570},
      cid          = {I:(DE-2719)1013005 / I:(DE-2719)1013010},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 354 - Disease
                      Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-354},
      typ          = {PUB:(DE-HGF)16},
      pmc          = {pmc:PMC11110308},
      pubmed       = {pmid:38773625},
      doi          = {10.1186/s13104-024-06799-4},
      url          = {https://pub.dzne.de/record/269686},
}