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Immunohistochemical Localization of Hydroxysteroid Sulfotransferase and Sulfatase in the Brain of<i>Rana esculenta</i>Tadpoles

2009· article· en· W1994694024 on OpenAlexaff
Alessandra Cevasco, Aurora Pittaluga, Jean‐Luc do Rego, Georges Pelletier, Hubert Vaudry, Alberta Mandich

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNeuroactive steroidSteroid sulfataseSulfationSulfotransferaseSulfatasePregnenolonePregnenolone sulfateInternal medicineBiologyOlfactory bulbEndocrinologyImmunohistochemistryDehydroepiandrosteroneDiencephalonEnzymeBiochemistryCentral nervous systemReceptorHormoneSteroidAndrogenGABAA receptor

Abstract

fetched live from OpenAlex

Sulfation plays a major role in regulating the activity of various neurosteroids, including pregnenolone and dehydroepiandrosterone. The present report describes the immunohistochemical distribution of two enzymes involved in the control of neurosteroid sulfation, hydroxysteroid sulfotransferase (HST) and unconjugated steroid enzyme sulfatase (STS), in the brain of the European green frog Rana esculenta during development. HST and STS immunoreactivity were detected from stage VIII-XII. At this early stage, HST-positive fibers were seen in the glomerular layer and the basal rhombencephalon. Subsequently, at stage XIII-XV, HST- and STS-immunoreactive fibers were vizualized in the accessory olfactory bulb. At stage XVI-XVIII, STS-positive cell bodies were observed in the periventricular region of the diencephalon. These observations indicate that the enzymes controlling sulfation of hydroxysteroids are expressed in the frog brain during development.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
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 head0.080
GPT teacher head0.353
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 designObservational
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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of Sciences→Same topicNeurobiology and Insect Physiology Research→French-language works237,207→