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@INBOOK{Heutink:155671,
      author       = {Heutink, Peter and Menden, Kevin and Dalmia, Anupriya},
      title        = {{A} {M}ulti-omics {D}ata {R}esource for {F}rontotemporal
                      {D}ementia {R}esearch.},
      volume       = {1281},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {DZNE-2021-00839},
      isbn         = {978-3-030-51139-5 (print)},
      series       = {Advances in Experimental Medicine and Biology},
      pages        = {269 - 282},
      year         = {2021},
      comment      = {Frontotemporal Dementias / Ghetti, Bernardino (Editor) ;
                      Cham : Springer International Publishing, 2021, Chapter 16 ;
                      ISSN: 0065-2598=2214-8019 ; ISBN:
                      978-3-030-51139-5=978-3-030-51140-1 ;
                      doi:10.1007/978-3-030-51140-1},
      booktitle     = {Frontotemporal Dementias / Ghetti,
                       Bernardino (Editor) ; Cham : Springer
                       International Publishing, 2021, Chapter
                       16 ; ISSN: 0065-2598=2214-8019 ; ISBN:
                       978-3-030-51139-5=978-3-030-51140-1 ;
                       doi:10.1007/978-3-030-51140-1},
      abstract     = {Frontotemporal dementia (FTD) is a neurodegenerative
                      disease with high heritability. Almost half of all familial
                      cases are caused by mutations in one of the three genes
                      MAPT, GRN and C9orf72. Even though major advances in FTD
                      research have been achieved during the last decades, it is
                      not yet fully understood how mutations in these diverse
                      genes lead to the disease. To improve our understanding of
                      FTD, the Risk and Modifying Factors in Frontotemporal
                      Dementia (RiMod-FTD) consortium has created an FTD-specific
                      multi-omics data resource. Using multiple omics technologies
                      on post-mortem brain tissue from patients with mutations in
                      GRN, MAPT or C9orf72 and healthy controls, the resource aims
                      to provide a comprehensive cellular profile of FTD.
                      Furthermore, brain tissue from multiple mouse models and
                      induced pluripotent stem cells (iPSC)-derived neuronal
                      cultures were profiled with similar multi-omics technologies
                      to make up for the shortcomings of post-mortem brain tissue.
                      All data are publicly available to all researchers, and
                      ongoing efforts aim to increase the available datasets and
                      to improve their accessibility. The RiMod-FTD resource
                      represents a uniquely valuable dataset for the field of FTD
                      research, which we hope will accelerate the scientific
                      progress in the field.},
      keywords     = {Animals / C9orf72 Protein: genetics / Frontotemporal
                      Dementia: genetics / Humans / Mice / Mutation /
                      Neurodegenerative Diseases / Pick Disease of the Brain / tau
                      Proteins: genetics / C9orf72 Protein (NLM Chemicals) /
                      C9orf72 protein, human (NLM Chemicals) / tau Proteins (NLM
                      Chemicals)},
      cin          = {AG Heutink 1},
      ddc          = {570},
      cid          = {I:(DE-2719)1210002},
      pnm          = {354 - Disease Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-354},
      typ          = {PUB:(DE-HGF)7},
      pubmed       = {pmid:33433880},
      doi          = {10.1007/978-3-030-51140-1_16},
      url          = {https://pub.dzne.de/record/155671},
}