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Record W6982673735

Investigating the effects of molecular and environmental factors on collagen deposition by cultured rainbow trout (Oncorhynchus mykiss) cardiac fibroblasts

2022· dissertation· en· W6982673735 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

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Global Research Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRainbow troutTroutAngiotensin IIFibroblastCellExtracellular matrixGene expression
DOInot available

Abstract

fetched live from OpenAlex

Male rainbow trout undergo sex-specific cardiac remodelling in response to thermal acclimation, which includes changes in collagen composition. To characterize the cellular mechanisms involved we used cardiac fibroblasts from male and female trout to build upon previous studies on the collagen remodelling process. Rainbow trout cardiac fibroblasts were exposed to testosterone, cold acclimation, angiotensin II (ANG II), TGF-, and biomechanical stretch to look at their influences on cell signalling and gene transcription. We hypothesized that fibroblasts would respond to these factors in a pro-collagen response except for testosterone due to its inability to cause change in previous studies with other animals. increase We found that the factors did not act in a consistently pro-fibrotic manner. One notable finding was the induction of cell signalling under cold acclimated stretch. This provides support for the hypothesis that the increased ventricular stretch that occurs under cold acclimation initiates the collagen remodelling response.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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