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Record W1755629547

NPY, CART and CCK identification in winter flounder (pleuronectes americanus) and winter skate (raja ocellata): molecular cloning, tissue distribution and response to season and fasting

2008· dissertation· en· W1755629547 on OpenAlexaboutno aff
Erin E. MacDonald

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2008
Typedissertation
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsWinter flounderPleuronectesCartBiologySkateCholecystokininFlounderCocaine and amphetamine regulated transcriptComplementary DNAPerciformesScorpaenidaeZoologyInternal medicineEndocrinologyNeuropeptideGeneEcologyFisheryFish <Actinopterygii>Genetics
DOInot available

Abstract

fetched live from OpenAlex

In fish, as in all vertebrates, feeding is regulated by complex interactions between brain and peripheral hormonal signals. Brain signals include neuropeptide Y (NPY) and cocaine-amphetamine-regulated transcript (CART), which induces and decreases food intake, respectively. Cholecystokinin (CCK) is a peripheral hormone produced by the intestine that inhibits appetite. The winter flounder, Pleuronectes americanus (Teleostei) and the winter skate, Raja ocellata (Elasmobranchii) are two bottom-dwelling marine fish species inhabiting the coasts of Newfoundland. Both species undergo seasonal cycles in feeding and growth. Nothing is known about the structure or function of NPY, CART and CCK in these species or about the role that these peptides might have in mediating seasonal feeding patterns. In order to characterize NPY, CART and CCK in winter flounder and winter skate, I have identified cDNAs encoding these hormones in both species using RT-PCR and rapid amplification of cDNA ends (RACE). Tissue distribution studies using RT-PCR show that all three peptides are expressed in brain and peripheral tissues, including gut. Gene expression quantification using real-time RT-PCR indicates that these peptides might be involved in nutritional and seasonal feeding adaptations in these two species.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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 teacher head, not a consensus.

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
Published2008
Admission routes1
Has abstractyes

Explore more

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