Protein Phosphatase 5 Is a Negative Modulator of Heat Shock Factor 1
Bibliographic record
Abstract
The major stress protein transcription factor, heat shock factor (HSF1), is tightly regulated through a multilayered activation-deactivation process involving oligomerization, post-translational modification, and interaction with the heat shock protein (Hsp90)-containing multichaperone complex. Conditions of proteotoxic stress, such as heat shock, trigger reversible assembly of latent HSF1 monomers into DNA-binding homotrimers that bind with high affinity to cognate heat shock elements. Transactivation is a second and independently regulated function of HSF1 that is accompanied by hyperphosphorylation and appears to involve a number of signaling events. Association of HSF1 with Hsp90 chaperone complexes provides additional regulatory complexity, however, not all the co-chaperones have been identified, and the specific molecular interactions throughout the activation/deactivation pathway remain to be determined. Here we demonstrate that protein phosphatase 5 (PP5), a tetratricopeptide domain-containing component of Hsp90-steroid receptor complexes, functions as a negative modulator of HSF1 activity. Physical interactions between PP5 and HSF1-Hsp90 complexes were observed in co-immunoprecipitation and gel mobility supershift experiments. Overexpression of PP5 or activation of endogenous phosphatase activity resulted in diminished HSF1 DNA binding and transcriptional activities, and accelerated recovery. Conversely, microinjection of PP5 antibodies, or inhibition of its phosphatase activity in vivo, significantly delayed trimer disassembly after heat shock. Inhibition of PP5 activity did not activate HSF1 in unstressed cells. These results indicate that PP5 is a negative modulator of HSF1 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) | 0.001 | 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".