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The effects of heat shock and acclimation temperature on hsp70 and hsp30 mRNA expression in rainbow trout: <i>in vivo</i> and <i>in vitro</i> comparisons

2000· article· en· W2054593967 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Fish Biology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsQueen's University
Fundersnot available
KeywordsRainbow troutBiologyAcclimatizationIn vivoHsp70In vitroMessenger RNAShock (circulatory)Heat shock proteinGene expressionCell biologyZoologyFish <Actinopterygii>EcologyFisheryGeneInternal medicineGenetics

Abstract

fetched live from OpenAlex

Heat shock (25° C) of 10° C‐acclimated rainbow trout Oncorhynchus mykiss led to increases in heat shock protein 70 (hsp70) mRNA in blood, brain, heart, liver, red and white muscle, with levels in blood being amongst the highest. Hsp30 mRNA also increased with heat shock in all tissues with the exception of blood. When rainbow trout blood was heat shocked in vitro , both hsp70 and hsp30 mRNA increased significantly. In addition, these in vitro experiments demonstrated that blood from fish acclimated to 17° C water had a lower hsp70 mRNA heat shock induction temperature than did 5° C acclimated fish (20 v. 25° C). The hsp30 mRNA induction temperature (25° C), however, was unaffected by thermal acclimation. While increases in hsp70 mRNA levels in blood may serve as an early indicator of temperature stress in fish, tissue type, thermal history and the particular family of hsp must be considered when evaluating stress by these molecular means.

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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.267
Teacher spread0.260 · 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