Please use this identifier to cite or link to this item:
Authors: Ruffini, Nicolas
Klingenbeg, Susanne
Heese, Raoul
Schweiger, Susann
Gerber, Susanne
Title: The big picture of neurodegeneration : a meta study to extract the essential evidence on neurodegenerative diseases in a network-based approach
Online publication date: 7-Nov-2022
Year of first publication: 2022
Language: english
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.
DDC: 570 Biowissenschaften
570 Life sciences
610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 09 Chemie, Pharmazie u. Geowissensch.
FB 10 Biologie
Place: Mainz
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use:
Journal: Frontiers in aging neuroscience
Pages or article number: 866886
Publisher: Frontiers
Publisher place: Lausanne
Issue date: 2022
ISSN: 1663-4365
Publisher DOI: 10.3389/fnagi.2022.866886
Appears in collections:DFG-491381577-G