Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-8219
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 |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-8219 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
Document type specification: | Scientific article |
License: | CC BY |
Information on rights of use: | https://creativecommons.org/licenses/by/4.0/ |
Journal: | Frontiers in aging neuroscience 14 |
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 |
Files in This Item:
File | Description | Size | Format | ||
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![]() | the_big_picture_of_neurodegen-20221103070007516.pdf | 4.11 MB | Adobe PDF | View/Open | |
the_big_picture_of_neurodegen-20221103070021207.xlsx | Table 1 | 342.91 kB | Microsoft Excel XML | View/Open | |
the_big_picture_of_neurodegen-20221103070021037.xlsx | Table 2 | 17.42 kB | Microsoft Excel XML | View/Open | |
the_big_picture_of_neurodegen-20221103070020867.XLSX | Table 3 | 28.39 kB | Microsoft Excel XML | View/Open | |
the_big_picture_of_neurodegen-20221103070020728.XLSX | Table 4 | 141.28 kB | Microsoft Excel XML | View/Open | |
the_big_picture_of_neurodegen-20221103070020573.zip | Presentation1 | 11.24 MB | ZIP | View/Open | |
the_big_picture_of_neurodegen-20221103070019581.ZIP | Presentation 2 | 317.94 kB | ZIP | View/Open |