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Record W2973061667 · doi:10.1002/1873-3468.13597

Stress‐specific aggregation of proteins in the amyloid bodies

2019· article· en· W2973061667 on OpenAlexafffund
Dane Marijan, Ronnie Tse, Keenan Elliott, Sahil Chandhok, Monica Luo, Emma Lacroix, Timothy E. Audas

Bibliographic record

VenueFEBS Letters · 2019
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsSimon Fraser University
FundersInstitute of Cancer ResearchNatural Sciences and Engineering Research Council of Canada
KeywordsProtein aggregationChemistryAmyloid (mycology)OrganelleBiophysicsCell biologyBiochemistryBiology

Abstract

fetched live from OpenAlex

Physiological amyloid aggregation occurs within the nuclei of stress-treated cells. These structures, termed Amyloid bodies (A-bodies), assemble through the rapid accumulation of proteins into dense membrane-less organelles, which possess the same biophysical properties as plaques observed in many amyloid-based diseases. Here, we demonstrate that A-body proteomic compositions vary significantly between stimuli, as constituent proteins can be sequestered by one or more stressors. Stimulus exposure alone was insufficient to induce aggregation, demonstrating that this pathway is not regulated solely by stress-induced conformational changes of the A-body targets. We propose that different environmental conditions induce the formation of A-body subtypes containing distinct protein residents. This selective immobilization of proteins may have evolved as a finely tuned mechanism for surviving divergent stressors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.276
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2019
Admission routes2
Has abstractyes

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