Evidence map›Paper›PMID 31527276›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Pervasive convergent evolution and extreme phenotypes define chaperone requirements of protein homeostasis.

Yasmine Draceni, Sebastian Pechmann

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Heterogeneous folding landscapes and predetermined breaking points within a protein family.Protein science : a publication of the Protein Society · 2024
    Article
  4. Article
  5. Article
  6. Chaperone Activators.Sub-cellular biochemistry · 2024
    Review
  7. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. 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.

Yasmine DraceniDépartement de Biochimie, Université de Montréal, Montréal, QC H3T 1J4, Canada.
Sebastian PechmannDépartement de Biochimie, Université de Montréal, Montréal, QC H3T 1J4, Canada sebastian.pechmann@umontreal.ca.ORCID 0000-0002-4356-9470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintaining protein homeostasis is an essential requirement for cell and organismal viability. An elaborate regulatory system within cells, the protein homeostasis network, safeguards that proteins are correctly folded and functional. At the heart of this regulatory system lies a class of specialized protein quality control enzymes called chaperones that are tasked with assisting proteins in their folding, avoiding aggregation and degradation. Failure and decline of protein homeostasis are directly associated with conditions of aging and aging-related neurodegeneration. However, it is not clear what tips the balance of protein homeostasis and leads to onset of aging and diseases. Here, using a comparative genomics approach we report general principles of maintaining protein homeostasis across the eukaryotic tree of life. Expanding a previous study of 16 eukaryotes to the quantitative analysis of 216 eukaryotic genomes, we find a strong correlation between the composition of eukaryotic chaperone networks and genome complexity that is distinct for different species kingdoms. Organisms with pronounced phenotypes clearly buck this trend.

Indexed as

Biological EvolutionPhenotypeProteostasisEukaryotaEvolution, MolecularHeat-Shock ProteinsHumansMolecular ChaperonesHeat-Shock ProteinsMolecular Chaperonesagingchaperonesgenome evolutionprotein homeostasistree of life

Identifiers

PMID31527276
PMCPMC6778244

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.