Literature DB >> 35503478

Modifier pathways in polyglutamine (PolyQ) diseases: from genetic screens to drug targets.

Marta Daniela Costa1,2, Patrícia Maciel3,4.   

Abstract

Polyglutamine (PolyQ) diseases include a group of inherited neurodegenerative disorders caused by unstable expansions of CAG trinucleotide repeats in the coding region of specific genes. Such genetic alterations produce abnormal proteins containing an unusually long PolyQ tract that renders them more prone to aggregate and cause toxicity. Although research in the field in the last years has contributed significantly to the knowledge of the biological mechanisms implicated in these diseases, effective treatments are still lacking. In this review, we revisit work performed in models of PolyQ diseases, namely the yeast Saccharomyces cerevisiae, the nematode worm Caenorhabditis elegans and the fruit fly Drosophila melanogaster, and provide a critical overview of the high-throughput unbiased genetic screens that have been performed using these systems to identify novel genetic modifiers of PolyQ diseases. These approaches have revealed a wide variety of cellular processes that modulate the toxicity and aggregation of mutant PolyQ proteins, reflecting the complexity of these disorders and demonstrating how challenging the development of therapeutic strategies can be. In addition to the unbiased large-scale genetic screenings in non-vertebrate models, complementary studies in mammalian systems, closer to humans, have contributed with novel genetic modifiers of PolyQ diseases, revealing neuronal function and inflammation as key disease modulators. A pathway enrichment analysis, using the human orthologues of genetic modifiers of PolyQ diseases clustered modifier genes into major themes translatable to the human disease context, such as protein folding and transport as well as transcription regulation. Innovative genetic strategies of genetic manipulation, together with significant advances in genomics and bioinformatics, are taking modifier genetic studies to more realistic disease contexts. The characterization of PolyQ disease modifier pathways is of extreme relevance to reveal novel therapeutic possibilities to delay disease onset and progression in patients.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Genetic modifiers; Large-scale screenings; Model organisms; Polyglutamine diseases

Mesh:

Substances:

Year:  2022        PMID: 35503478     DOI: 10.1007/s00018-022-04280-8

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  162 in total

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Journal:  Mol Cells       Date:  2013-06-19       Impact factor: 5.034

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Journal:  Neuron       Date:  1997-08       Impact factor: 17.173

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Journal:  Am J Hum Genet       Date:  1995-07       Impact factor: 11.025

10.  A universal mechanism ties genotype to phenotype in trinucleotide diseases.

Authors:  Shai Kaplan; Shalev Itzkovitz; Ehud Shapiro
Journal:  PLoS Comput Biol       Date:  2007-10-16       Impact factor: 4.475

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  1 in total

1.  Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3.

Authors:  Danlei Ru; Jinchen Li; Ouyi Xie; Linliu Peng; Hong Jiang; Rong Qiu
Journal:  Front Neuroinform       Date:  2022-08-30       Impact factor: 3.739

  1 in total

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