Enhanced accumulation of constitutive heat shock protein mRNA is an initial response of eye tissue to mild hyperthermia in vivo in adult<i>Xenopus laevis</i>
Bibliographic record
Abstract
We have examined the effect of mild hyperthermia in vivo on heat shock transcription factor (HSF) binding activity and heat shock protein (hsp) gene expression in eye tissue of adult Xenopus laevis. A specific interaction between HSF and a synthetic oligonucleotide corresponding to the proximal heat shock element of the Xenopus hsp70B gene was greatly enhanced in eyes from hyperthermic animals compared with controls. Given these results, we examined the effect of hyperthermia in vivo on the expression of five hsp genes (hsp70, hsc70, BiP, hsp90, and hsp30) in eye tissue. Interestingly, at 28 degrees C constitutively expressed hsp genes hsc70, BiP, and hsp90 were strongly enhanced, with further accumulation at 30 degrees C. However, hsp70 and hsp30 mRNA accumulation were not detectable at 28 degrees C but were strongly induced at 30 degrees C. No enhancement of the relative levels of cytoskeletal actin mRNA was observed in the eye tissue of hyperthermic animals. These results suggest that one of the primary responses of eye tissue to hyperthermia in vivo is in the elevation of mRNAs encoding a set of constitutively expressed molecular chaperones.
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 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) | 0.002 | 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".