FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Sousa, A., Rocha, S., Vieira, J., Reboiro-Jato, M., López-Fernández, H., Vieira, C.P. (2023). On the identification of potential novel therapeutic targets for spinocerebellar ataxia type 1 (SCA1) neurodegenerative disease using EvoPPI3.  J. Integr. Bioinform. 20(2): 20220056.
FlyBase ID
FBrf0257158
Publication Type
Research paper
Abstract
EvoPPI (http://evoppi.i3s.up.pt), a meta-database for protein-protein interactions (PPI), has been upgraded (EvoPPI3) to accept new types of data, namely, PPI from patients, cell lines, and animal models, as well as data from gene modifier experiments, for nine neurodegenerative polyglutamine (polyQ) diseases caused by an abnormal expansion of the polyQ tract. The integration of the different types of data allows users to easily compare them, as here shown for Ataxin-1, the polyQ protein involved in spinocerebellar ataxia type 1 (SCA1) disease. Using all available datasets and the data here obtained for Drosophila melanogaster wt and exp Ataxin-1 mutants (also available at EvoPPI3), we show that, in humans, the Ataxin-1 network is much larger than previously thought (380 interactors), with at least 909 interactors. The functional profiling of the newly identified interactors is similar to the ones already reported in the main PPI databases. 16 out of 909 interactors are putative novel SCA1 therapeutic targets, and all but one are already being studied in the context of this disease. The 16 proteins are mainly involved in binding and catalytic activity (mainly kinase activity), functional features already thought to be important in the SCA1 disease.
PubMed ID
PubMed Central ID
PMC10561075 (PMC) (EuropePMC)
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Integr. Bioinform.
    Title
    Journal of integrative bioinformatics
    ISBN/ISSN
    1613-4516
    Data From Reference
    Alleles (4)
    Genes (6)
    Human Disease Models (2)
    Transgenic Constructs (4)