Evidence map›Paper›PMID 26340370›Full record

ArticlePLoS computational biology2015

Increased Aggregation Is More Frequently Associated to Human Disease-Associated Mutations Than to Neutral Polymorphisms.

Greet De Baets, Loic Van Doorn, Frederic Rousseau, Joost Schymkowitz

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Proteostasis-targeted antibacterial strategies.Journal of microbiology (Seoul, Korea) · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Mechanisms and pathology of protein misfolding and aggregation.Nature reviews. Molecular cell biology · 2023
    Review
  9. A FRET-Based Assay for the Identification of PCNA Inhibitors.International journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

4 authors at 2 institutions in 1 country.

Greet De BaetsVIB Switch Laboratory, Flanders Institute for Biotechnology (VIB), Leuven, Belgium; Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
Loic Van DoornVIB Switch Laboratory, Flanders Institute for Biotechnology (VIB), Leuven, Belgium; Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
Frederic RousseauVIB Switch Laboratory, Flanders Institute for Biotechnology (VIB), Leuven, Belgium; Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
Joost SchymkowitzVIB Switch Laboratory, Flanders Institute for Biotechnology (VIB), Leuven, Belgium; Switch Laboratory, Department of Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
KU Leuven · BEVlaams Instituut voor Biotechnologie · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein aggregation is a hallmark of over 30 human pathologies. In these diseases, the aggregation of one or a few specific proteins is often toxic, leading to cellular degeneration and/or organ disruption in addition to the loss-of-function resulting from protein misfolding. Although the pathophysiological consequences of these diseases are overt, the molecular dysregulations leading to aggregate toxicity are still unclear and appear to be diverse and multifactorial. The molecular mechanisms of protein aggregation and therefore the biophysical parameters favoring protein aggregation are better understood. Here we perform an in silico survey of the impact of human sequence variation on the aggregation propensity of human proteins. We find that disease-associated variations are statistically significantly enriched in mutations that increase the aggregation potential of human proteins when compared to neutral sequence variations. These findings suggest that protein aggregation might have a broader impact on human disease than generally assumed and that beyond loss-of-function, the aggregation of mutant proteins involved in cancer, immune disorders or inflammation could potentially further contribute to disease by additional burden on cellular protein homeostasis.

Indexed as

Computational BiologyDatabases, FactualGenetic Predisposition to DiseaseHumansMutationPolymorphism, GeneticProtein Aggregation, PathologicalProtein Stability

Identifiers

PMID26340370
PMCPMC4560525
OpenAlexW1884282970

What OpenQuestion holds

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LicenceCC BY
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.