Evidence map›Paper›PMID 18503047›Full record

ArticleMolecular biology and evolution2008

Natural selection against protein aggregation on self-interacting and essential proteins in yeast, fly, and worm.

Yiwen Chen, Nikolay V Dokholyan

Abstract readComparative StudyLetter
In one paragraph

Article in Molecular biology and evolution, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Detection of Protein Aggregation in LiveAntimicrobial agents and chemotherapy · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Discovering Putative Prion-Like Proteins inFrontiers in microbiology · 2018
    Article
  11. Article
  12. Selection on protein structure, interaction, and sequence.Protein science : a publication of the Protein Society · 2016
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Yiwen Chen
Nikolay V Dokholyan

Funding

Protein Misfolding and AggregationR01GM080742 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2007 to 2015
$2.8M
NIGMS NIH HHS R01 GM080742NIGMS NIH HHS R01GM080742
6 · The paper itself

Abstract

Protein aggregation is the phenomenon of protein self-association potentially leading to detrimental effects on physiology, which is closely related to numerous human diseases such as Alzheimer's and Parkinson's disease. Despite progress in understanding the mechanism of protein aggregation, how natural selection against protein aggregation acts on subunits of protein complexes and on proteins with different contributions to organism fitness remains largely unknown. Here, we perform a proteome-wide analysis by using an experimentally validated algorithm TANGO and utilizing sequence, interactomic and phenotype-based functional genomic data from yeast, fly, and nematode. We find that proteins that are capable of forming homooligomeric complex have lower aggregation propensity compared with proteins that do not function as homooligomer. Further, proteins that are essential to the fitness of an organism have lower aggregation propensity compared with nonessential ones. Our finding suggests that the selection force against protein aggregation acts across different hierarchies of biological system.

Indexed as

Evolution, MolecularSelection, GeneticAlgorithmsAnimalsCaenorhabditis elegansDrosophila melanogasterGenes, EssentialProtein ConformationProteinsProteomicsRNA InterferenceSaccharomyces cerevisiaeProteins

Identifiers

PMID18503047
PMCPMC2727382

What OpenQuestion holds

Textmetadata
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.