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Record W4294991458 · doi:10.1530/jme-22-0155

Retinoic acid receptors at 35: molecular convergence of vitamin A and steroid hormone action

2022· editorial· en· W4294991458 on OpenAlexaffabout
Vincent Giguère

Bibliographic record

VenueJournal of Molecular Endocrinology · 2022
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsRetinoic acidSteroidSteroid hormoneReceptorHormoneVitaminAction (physics)Convergence (economics)ChemistryHormone receptorEndocrinologyInternal medicineBiochemistryMedicineGenePhysicsCancerBreast cancer

Abstract

fetched live from OpenAlex

The fields of vitamins and steroid hormones emerged in parallel in the early parts of the twentieth century. Scientists in both fields were initially interested in the purification of natural compounds present respectively in food stuff and extracts from organs and biological fluids that had profound effects on reproduction, development, and general maintenance of a healthy organism. Coincidently, the chemical structure of vitamin A and the steroid hormones oestradiol and progesterone were resolved around the same time in the mid 1930s. From these early common grounds, the fields of vitamin A and steroid hormones then diverged into their respective branches of biological sciences, mainly nutrition/vision and endocrinology for the next several decades. Yet, 50 years later, it is the surprising discovery that retinoic acid (RA), an active metabolite of vitamin A, exerts its biological effects via a member of the superfamily of steroid receptors that led to the improbable reunification of vitamin A and steroid hormones action. We celebrate the scientific milestone of the discovery of the retinoic acid receptor (RAR) with a special issue of the Journal of Molecular Endocrinology. This issue comprises chronicles reminiscing how that discovery was achieved independently by two young Canadian scientists working in the laboratories of Ronald Evans and Pierre Chambon separated by a continent and an ocean, and reviews by international experts describing distinct aspects of RAR-dependent biology and mode of action.

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 score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.006
GPT teacher head0.250
Teacher spread0.244 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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