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1000 Titel
  • The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach
1000 Autor/in
  1. Ruffini, Nicolas |
  2. Klingenberg, Susanne |
  3. Heese, Raoul |
  4. Schweiger, Susann |
  5. Gerber, Susanne |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-06-27
1000 Erschienen in
1000 Quellenangabe
  • 14:866886
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fnagi.2022.866886 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271745/ |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/fnagi.2022.866886/full#h12 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
1000 Sacherschließung
lokal neurodegenerative diseases
lokal hub genes and pathways
lokal metastudy
lokal multi-omic analyses
lokal bioinformatics
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