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The systemic complexity of a monogenic disease: the molecular network of spinal muscular atrophy

Monogenic diseases are well-suited paradigms for the causal analysis of disease-driving molecular patterns. Spinal muscular atrophy (SMA) is one such monogenic model, caused by mutation or deletion of the survival of motor neuron 1 (SMN1) gene. Although several functions of the SMN protein have been...

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Main Authors: Tapken, Ines Marlene (Author) , Schweitzer, Theresa (Author) , Paganin, Martina (Author) , Schüning, Tobias (Author) , Detering, Nora Tula (Author) , Niesert, Moritz (Author) , Saffari, Afshin (Author) , Hensel, Niko (Author) , Ziegler, Andreas (Author)
Format: Article (Journal)
Language:English
Published: February 2025
In: Brain
Year: 2025, Volume: 148, Issue: 2, Pages: 580-596
ISSN:1460-2156
DOI:10.1093/brain/awae272
Online Access:Resolving-System, lizenzpflichtig: https://doi.org/10.1093/brain/awae272
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Author Notes:Ines Tapken, Theresa Schweitzer, Martina Paganin, Tobias Schüning, Nora T Detering, Gaurav Sharma, Moritz Niesert, Afshin Saffari, Daniela Kuhn, Amy Glynn, Federica Cieri, Pamela Santonicola, Claire Cannet, Florian Gerstner, Kiterie M E Faller, Yu-Ting Huang, Rashmi Kothary, Thomas H Gillingwater, Elia Di Schiavi, Christian M Simon, Niko Hensel, Andreas Ziegler, Gabriella Viero, Andreas Pich and Peter Claus
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Summary:Monogenic diseases are well-suited paradigms for the causal analysis of disease-driving molecular patterns. Spinal muscular atrophy (SMA) is one such monogenic model, caused by mutation or deletion of the survival of motor neuron 1 (SMN1) gene. Although several functions of the SMN protein have been studied, single functions and pathways alone do not allow the identification of crucial disease-driving molecules.Here, we analysed the systemic characteristics of SMA, using proteomics, phosphoproteomics, translatomics and interactomics, from two mouse models with different disease severities and genetics.This systems approach revealed subnetworks and proteins characterizing commonalities and differences of both models. To link the identified molecular networks with the disease-causing SMN protein, we combined SMN-interactome data with both proteomes, creating a comprehensive representation of SMA. By this approach, disease hubs and bottlenecks between SMN and downstream pathways could be identified.Linking a disease-causing molecule with widespread molecular dysregulations via multiomics is a concept for analyses of monogenic diseases.
Item Description:Veröffentlicht: 26. August 2024
Gesehen am 10.06.2025
Physical Description:Online Resource
ISSN:1460-2156
DOI:10.1093/brain/awae272

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