ArticleComputational and structural biotechnology journal2020
The importance of definitions in the study of polyQ regions: A tale of thresholds, impurities and sequence context.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 33 citations in OpenAlex.
- Evolutionary perspective of the CAG/CAA interplay coding for pure polyglutamine stretches in proteins.NAR genomics and bioinformatics · 2025Article
- Predicting the involvement of polyQ- and polyA in protein-protein interactions by their amino acid context.Heliyon · 2024Article
- Reviewing the Structure-Function Paradigm in Polyglutamine Disorders: A Synergistic Perspective on Theoretical and Experimental Approaches.International journal of molecular sciences · 2024Review
- Homorepeat variability within the human population.NAR genomics and bioinformatics · 2024Article
- Noncanonical usage of stop codons in ciliates expands proteins with structurally flexible Q-rich motifs.eLife · 2024Article
- Article
- Evolutionary Study of Protein Short Tandem Repeats in Protein Families.Biomolecules · 2023Article
- The sequence context in poly-alanine regions: structure, function and conservation.Bioinformatics (Oxford, England) · 2022Article
- Review
- Between Interactions and Aggregates: The PolyQ Balance.Genome biology and evolution · 2021Article
- Article
- The Role of Low Complexity Regions in Protein Interaction Modes: An Illustration in Huntingtin.International journal of molecular sciences · 2021Article
- The features of polyglutamine regions depend on their evolutionary stability.BMC evolutionary biology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polyglutamine (polyQ) regions are one of the most prevalent homorepeats in eukaryotes. It is however difficult to evaluate their prevalence because various studies claim different results. The reason is the lack of a consensus to define what is indeed a polyQ region. We have tackled this issue by studying how the use of different thresholds (i.e., minimum number of glutamines required in a protein region of a given size), to detect polyQ regions in the human proteome influences not only their prevalence but also their general features and sequence context. Threshold definition shapes the length distribution of the polyQ dataset, and changes the observed number and position of impurities (amino acids other than glutamine) within polyQ regions. Irrespective of the chosen threshold, leucine and proline residues are enriched both within and around polyQ. While leucine is enriched at the N-terminus of polyQ and specially at position -1 (amino acid preceding the polyQ), proline is prevalent in the C-terminus (positions +1 to +5, that is, the first five amino acids after the polyQ). We also checked the suitability of these thresholds for other species, and compared their polyQ features with those found in humans. As the sequence context and features of polyQ regions are threshold-dependent, we propose a method to quickly scan the polyQ landscape of a proteome. We complement our results with a summarized overview about which biases are to be expected per threshold when studying polyQ regions.
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