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<i>In vitro</i> pattern‐related effects of forskolin on melanophore adrenoceptor‐mediated responses of winter flounder

2005· article· en· W2011691284 on OpenAlexaff
D. Burton

Bibliographic record

VenueJournal of Fish Biology · 2005
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMelanophoreForskolinChromatophoreBiologyMelanosomeWinter flounderFlounderInternal medicineEndocrinologyFlatfishAdenylate kinaseIntracellularCell biologyFisheryStimulationReceptorBiochemistryFish <Actinopterygii>Melanin

Abstract

fetched live from OpenAlex

In vitro experiments were performed on melanophores on scales carrying small slips of skin (scale slips) sampled from the white spot, dark band and general background components of patterning in winter flounder Pseudopleuronectes americanus. In vitro, forskolin (10−4 to 10−7 M) was employed to increase melanophore intracellular cytosolic adenosine‐3′‐5′‐monophosphate (cAMP) levels by stimulating adenylate cyclase. Such increase shifted noradrenaline concentration‐response curves to the right, general background melanophores being least sensitive to the forskolin, indicating a relatively higher proportion of α2‐adrenoceptors, and those from white spots the most sensitive. Melanosome dispersion, in balanced salt solution, was also enhanced by such raised levels of cAMP. Without forskolin, melanophores from white spots displayed the shortest pigment dispersion time in balanced salt solution, the slower melanophores from the other pattern components being those most affected by the addition of forskolin. The results demonstrate that differences in melanophore physiological responsiveness associated with flatfish patterns involve differential intracellular levels of cAMP, as well as differences in melanophore size and rates of melanosome movement.

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 score0.003

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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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