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  4. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach
 
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2022
Journal Article
Title

The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach

Abstract
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.
Author(s)
Ruffini, N.
Universitätsmedizin Mainz
Klingenberg, S.
Universitätsmedizin Mainz
Heese, Raoul  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Schweiger, S.
Universitätsmedizin Mainz
Gerber, S.
Universitätsmedizin Mainz
Journal
Frontiers in aging neuroscience  
Open Access
DOI
10.3389/fnagi.2022.866886
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • bioinformatics

  • hub genes and pathways

  • metastudy

  • multi-omic analyses

  • neurodegenerative diseases

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