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@ARTICLE{Hausmann:274053,
      author       = {Hausmann, Fabian and Caldi Gomes, Lucas and Hänzelmann,
                      Sonja and Khatri, Robin and Oller, Sergio and Gebelin, Marie
                      and Parvaz, Mojan and Tzeplaeff, Laura and Pasetto, Laura
                      and Zhou, Qihui and Zelina, Pavol and Edbauer, Dieter and
                      Pasterkamp, R Jeroen and Rehrauer, Hubert and Schlapbach,
                      Ralph and Carapito, Christine and Bonetto, Valentina and
                      Bonn, Stefan and Lingor, Paul},
      title        = {{A} dataset profiling the multiomic landscape of the
                      prefrontal cortex in amyotrophic lateral sclerosis.},
      journal      = {GigaScience},
      volume       = {13},
      issn         = {2047-217X},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {DZNE-2025-00034},
      pages        = {giae100},
      year         = {2024},
      abstract     = {Amyotrophic lateral sclerosis (ALS) is the most common
                      motor neuron disease, which still lacks effective
                      disease-modifying therapies. Similar to other
                      neurodegenerative disorders, such as Alzheimer and Parkinson
                      disease, ALS pathology is presumed to propagate over time,
                      originating from the motor cortex and spreading to other
                      cortical regions. Exploring early disease stages is crucial
                      to understand the causative molecular changes underlying the
                      pathology. For this, we sampled human postmortem prefrontal
                      cortex (PFC) tissue from Brodmann area 6, an area that
                      exhibits only moderate pathology at the time of death, and
                      performed a multiomic analysis of 51 patients with sporadic
                      ALS and 50 control subjects. To compare sporadic disease to
                      genetic ALS, we additionally analyzed PFC tissue from 4
                      transgenic ALS mouse models (C9orf72-, SOD1-, TDP-43-, and
                      FUS-ALS) using the same methods. This multiomic data
                      resource includes transcriptome, small RNAome, and proteome
                      data from female and male samples, aimed at elucidating
                      early and sex-specific ALS mechanisms, biomarkers, and drug
                      targets.},
      keywords     = {Amyotrophic Lateral Sclerosis: genetics / Amyotrophic
                      Lateral Sclerosis: metabolism / Prefrontal Cortex:
                      metabolism / Prefrontal Cortex: pathology / Humans / Female
                      / Mice / Male / Animals / Mice, Transgenic / Transcriptome /
                      Proteome / Disease Models, Animal / Aged / Gene Expression
                      Profiling: methods / Middle Aged / amyotrophic lateral
                      sclerosis (Other) / early disease mechanisms (Other) /
                      multiomics analysis (Other) / neurodegeneration (Other) /
                      prefrontal cortex (Other) / Proteome (NLM Chemicals)},
      cin          = {Clinical Research (Munich) / AG Zhou / AG Edbauer},
      ddc          = {610},
      cid          = {I:(DE-2719)1111015 / I:(DE-2719)5000080 /
                      I:(DE-2719)1110004},
      pnm          = {353 - Clinical and Health Care Research (POF4-353) / 352 -
                      Disease Mechanisms (POF4-352)},
      pid          = {G:(DE-HGF)POF4-353 / G:(DE-HGF)POF4-352},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39693632},
      pmc          = {pmc:PMC11653894},
      doi          = {10.1093/gigascience/giae100},
      url          = {https://pub.dzne.de/record/274053},
}