Evidence map›Paper›PMID 34791220›Full record

ArticleGenome biology and evolution2021

Between Interactions and Aggregates: The PolyQ Balance.

Pablo Mier, Miguel A Andrade-Navarro

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. GFP-free live neuron quantitative imaging reveals compartmentalization and growth dynamics of polyQ aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Review
  6. Homorepeat variability within the human population.NAR genomics and bioinformatics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The nucleotide landscape of polyXY regions.Computational and structural biotechnology journal · 2023
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Pablo MierFaculty of Biology, Institute of Organismic and Molecular Evolution, Johannes Gutenberg University of Mainz, Mainz, Germany.ORCID 0000-0003-3663-2352
Miguel A Andrade-NavarroFaculty of Biology, Institute of Organismic and Molecular Evolution, Johannes Gutenberg University of Mainz, Mainz, Germany.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyglutamine (polyQ) regions are highly abundant consecutive runs of glutamine residues. They have been generally studied in relation to the so-called polyQ-associated diseases, characterized by protein aggregation caused by the expansion of the polyQ tract via a CAG-slippage mechanism. However, more than 4,800 human proteins contain a polyQ, and only nine of these regions are known to be associated with disease. Computational sequence studies and experimental structure determinations are completing a more interesting picture in which polyQ emerge as a motif for modulation of protein-protein interactions. But long polyQ regions may lead to an excess of interactions, and produce aggregates. Within this mechanistic perspective of polyQ function and malfunction, we discuss polyQ definition and properties such as variable codon usage, sequence and context structure imposition, functional relevance, evolutionary patterns in species-centered analyses, and open resources.

Indexed as

PeptidesHumansPeptidespolyglutamineaggregationCAG-expansion diseaseshomorepeatpolyglutamineprotein–protein interaction

Identifiers

PMID34791220
PMCPMC8763233
OpenAlexW3213409361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.