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Record W4233463618 · doi:10.1530/reprod/123.1.155

Expression of luteinizing hormone genes in bovine conceptuses

2002· article· en· W4233463618 on OpenAlexafffund
C. Otieno

Bibliographic record

VenueReproduction · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Guelph
FundersMinistry of Agriculture, Food and Rural AffairsNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsConceptusBiologyEstrous cycleLuteinizing hormoneNorthern blotMolecular biologyAndrologyRNAEndocrinologyGeneInternal medicineMessenger RNAGene expressionComplementary DNAHormonePregnancyGeneticsGestationMedicine

Abstract

fetched live from OpenAlex

RT-PCR analysis demonstrated that bovine conceptuses at days 16, 23 and 30 expressed LH-beta-like and glycoprotein hormone alpha-like transcript sequences; adult kidney, liver and brain produced predominantly unspliced products. Sequencing of the LH-beta-like fragment (from conceptuses at day 30) indicated complete homology with the published sequence. In addition, ribonuclease protection assay of RNA samples from bovine conceptuses at day 30 with a bovine LH-beta probe revealed the presence of protected molecules that appeared to be full length. Northern blot analysis of total RNA from conceptuses at day 30 failed to demonstrate the presence of LH-beta or glycoprotein alpha subunit transcripts, whereas both transcripts were readily detected in adult pituitary RNA. Administration of hCG into the uterus of heifers from day 14 to day 16 of the oestrous cycle did not affect circulating progesterone concentrations, whereas the same dose increased progesterone concentrations (P < 0.05) when administered intravenously. These results indicate that the early bovine conceptus transcribes genes encoding LH-alpha and -beta subunits, but at a level unlikely to be of physiological consequence.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.445
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.044
GPT teacher head0.237
Teacher spread0.193 · 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.

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

Citations0
Published2002
Admission routes2
Has abstractyes

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