Prokaryotic Chaperones Support Yeast Prions and Thermotolerance and Define Disaggregation Machinery Interactions
Bibliographic record
Abstract
Saccharomyces cerevisiae Hsp104 and Escherichia coli ClpB are Hsp100 family AAA+ chaperones that provide stress tolerance by cooperating with Hsp70 and Hsp40 to solubilize aggregated protein. Hsp104 also remodels amyloid in vitro and promotes propagation of amyloid prions in yeast, but ClpB does neither, leading to a view that Hsp104 evolved these activities. Although biochemical analyses identified disaggregation machinery components required for resolubilizing proteins, interactions among these components required for in vivo functions are not clearly defined. We express prokaryotic chaperones in yeast to address these issues and find ClpB supports both prion propagation and thermotolerance in yeast if it is modified to interact with yeast Hsp70 or if E. coli Hsp70 and its cognate nucleotide exchange factor (NEF) are present. Our findings show prion propagation and thermotolerance in yeast minimally require cooperation of species-specific Hsp100, Hsp70, and NEF with yeast Hsp40. The functions of this machinery in prion propagation were directed primarily by Hsp40 Sis1p, while thermotolerance relied mainly on Hsp40 Ydj1p. Our results define cooperative interactions among these components that are specific or interchangeable across life kingdoms and imply Hsp100 family disaggregases possess intrinsic amyloid remodeling activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".