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A dataset profiling the multiomic landscape of the prefrontal cortex in amyotrophic lateral sclerosis

  • Fabian Hausmann
  • , Lucas Caldi Gomes
  • , Sonja Hänzelmann
  • , Robin Khatri
  • , Sergio Oller
  • , Marie Gebelin
  • , Mojan Parvaz
  • , Laura Tzeplaeff
  • , Laura Pasetto
  • , Qihui Zhou
  • , Pavol Zelina
  • , Dieter Edbauer
  • , R. Jeroen Pasterkamp
  • , Hubert Rehrauer
  • , Ralph Schlapbach
  • , Christine Carapito
  • , Valentina Bonetto
  • , Stefan Bonn
  • , Paul Lingor
  • Universitätsklinikum Hamburg-Eppendorf
  • Technical University of Munich
  • Universite de Strasbourg
  • Istituto di Ricerche Farmacologiche Mario Negri
  • German Center for Neurodegenerative Diseases (DZNE)
  • Munich Cluster for Systems Neurology (SyNergy)
  • University Medical Center Utrecht
  • University of Zurich

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Article numbergiae100
JournalGigaScience
Volume13
DOIs
StatePublished - 2024

Keywords

  • amyotrophic lateral sclerosis
  • early disease mechanisms
  • multiomics analysis
  • neurodegeneration
  • prefrontal cortex

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