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Record W2900830323 · doi:10.22215/etd/2017-12164

Regulation of urea cycle related enzymes in response to freezing in the wood frog, Rana sylvatica

2017· dissertation· en· W2900830323 on OpenAlexaff
Stuart Green

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsCarleton University
Fundersnot available
KeywordsCarbamoyl phosphate synthetaseOrnithine transcarbamylaseUrea cycleGlutamate dehydrogenaseUreaBiochemistryBiologyEnzymeChemistryGlutamate receptorAmino acidArginine

Abstract

fetched live from OpenAlex

The North American wood frog, Rana sylvatica, is one of the few vertebrate species that is capable of surviving freezing.Prevention of intracellular ice formation and maintenance of osmotic balance is facilitated by the production of large concentrations of urea during freezing in the liver.The regulatory roles of three enzymes critical to production of urea; glutamate dehydrogenase (GDH), carbamoyl phosphate synthetase I (CPS1), and ornithine transcarbamylase (OTC), were investigated in the liver in response to freezing.Freeze-exposed GDH had heightened substrate affinity and higher maximal activity than the control.Freeze-exposed GDH also had decreased acetylation and ADPribosylation.CPS1 from frozen frogs was demonstrated to have a higher affinity for ammonium and decreased lysine glutarylation relative to the control.Freeze-exposed OTC demonstrated improved affinity for ornithine and increased serine phosphorylation.Taken together, the results suggest that urea production is sustained in the liver of the wood frog during freezing.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.287
Teacher spread0.273 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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