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Protein Synthesis during Maturation of Bovine Oocytes, Effect of Epidermal Growth Factor

2001· article· en· W2083477319 on OpenAlexaff
Ak Goff, Zhihong Yang, R. Cortvrindt, Johan Smitz, Pierre Miron

Bibliographic record

VenueReproduction in Domestic Animals · 2001
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsEpidermal growth factorOocyteBlastocystBiologyIn vitro maturationEndocrinologyGrowth factorInternal medicineIncubationProtein biosynthesisAndrologyEmbryogenesisCell biologyEmbryoBiochemistryReceptor

Abstract

fetched live from OpenAlex

The objective of this study was to determine whether epidermal growth factor (EGF) affected protein synthesis in oocytes during maturation. Initially, the effect of EGF on oocyte maturation was examined to ensure that there was a beneficial effect of EGF in the protein-free maturation medium used in these studies. Results showed that the presence of EGF during maturation significantly enhanced cleavage rate and development to the blastocyst stage. Development after maturation in the presence of EGF was similar to that seen in medium containing serum, luteinizing hormone, follicle-stimulating hormone and estradiol. Protein synthesis was examined in immature oocytes and after 16 or 24 h maturation. Oocytes from each group were labelled by incubation for 4 h with 35S-methionine, the proteins were then separated by two-dimensional sodium dodecyl sulphate-polyacrylamide gel electrophoresis. Between 400 and 500 proteins could be separated using this method and marked changes in protein synthesis was observed during maturation. Changes in eight different proteins were observed when protein patterns from oocytes matured for 16 h with and without EGF were compared. These results suggest that EGF plays a physiological role in oocyte maturation and identification of the proteins induced by EGF could be important for improving our understanding of oocyte maturation in vitro.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.287
Teacher spread0.271 · 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

Citations10
Published2001
Admission routes1
Has abstractyes

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