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Record W1991895676 · doi:10.1071/rdv27n1ab306

306 EFFECT OF DIFFERENT IN VITRO MATURATION MEDIA ON DEVELOPMENTAL POTENTIAL OF GOAT OOCYTES ALREADY FOUND DENUDED AT COLLECTION

2014· article· en· W1991895676 on OpenAlexaff
Joanna Maria Gonçalves Souza‐Fabjan, Emilie Corbin, Yann Locatelli, Nicolas Duffard, C. Perreau, Vicente José de Figueirêdo Freitas, Pascal Mermillod

Bibliographic record

VenueReproduction Fertility and Development · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsEspace pour la vie
Fundersnot available
KeywordsTheriogenologyAndrologyEmbryo cultureCysteamineBlastocystGlutamineIn vitro maturationFetal bovine serumOocyteChemistryFolliculogenesisIn vitroReproductive technologyOogenesisBiologyEmbryoCryopreservationEmbryogenesisMedicineBiochemistry

Abstract

fetched live from OpenAlex

A grade classification (I, II, and III) based on the number of cumulus layers and oocyte morphology is currently used by many laboratories. Oocytes found denuded at collection (grade III) are considered not suitable and routinely discarded. Thus, if a particular strategy could be applied to their use in labour-intensive processes, such as ovum pickup, it would be a benefit. This experiment was performed to examine the effect of IVM medium composition to produce goat embryos in vitro using oocytes already found denuded at collection (DOC). In total, 411 DOC and 141 intact COC (control treatment) obtained by slaughterhouse ovaries were analysed in 4 replicates. The maturation medium consisted in TCM199 supplemented either with (1) 10 ng mL–1 of EGF and 100 µM cysteamine (simplified); (2) 10 ng mL–1 of EGF, 5 IU mL–1 of hCG, 10 IU mL–1 of eCG, 19 ng mL–1 of IGF-1, 2.2 ng mL–1 of FGF, 5 µg mL–1 of ITS, 90 µg mL–1 of l-cystein, 0.1 mM ß-mercaptoethanol, 75 µg mL–1 of vitamin C, 720 µg mL–1 of glycine, 0.1 mg mL–1 of glutamine, and 110 µg mL–1 of pyruvate (semidefined); or (3) 10% fetal calf serum (FCS), 100 µM cysteamine, and 50 ng mL–1 of oFSH (complex). Both DOC and COC were subjected to IVM, IVF, and IVD as previously described (Souza-Fabjan et al. 2014, Theriogenology 81, 1021–31). The COC were matured only in simplified medium. On Day 8, all expanded blastocysts were fixed and stained with Hoechst for cell counting. Statistical analysis was performed using all tests with a significant interval of 95%. All variables were compared among treatments using ANOVA and SNK test. The results are described as mean per replicate ± s.e.m. No significant differences were found in simplified, semidefined, or complex medium, respectively, in cleavage rate (52 ± 7.5, 60 ± 9.4, or 51 ± 15.0%), blastocyst from cleaved (36 ± 3.9, 39 ± 9.3, or 41 ± 4.8%), blastocyst from initial DOC (19 ± 5.0, 23 ± 8.1, or 21 ± 3.3%), hatching rate (55 ± 22.9, 55 ± 15.9, or 52 ± 14.8%), or total blastomeres number (184 ± 12.6, 179 ± 12.4, or 190 ± 13.8). The control COC showed no significant differences to any DOC treatment on cleavage (77 ± 3.4%) and blastocyst from cleaved (60 ± 2.2%). However, the blastocyst rate from initial COC was higher (46 ± 0.5%; P < 0.05) than all DOC treatments. Even though the blastocyst yield was lower than COC (~21 v. 46%), it is reasonable to affirm that it is possible to produce embryos from oocytes that would not be utilised, which may represent additional number of embryos. The blastocyst cell numbers in COC (192 ± 13.7) were similar (P > 0.05) to DOC, indicating that the goat embryos produced were of good quality. In conclusion, the inclusion of more complex substances in IVM media did not increase the development rate of DOC and, therefore, more simple IVM media could be used for this purpose. Finally, the goat embryos produced had satisfactorily number of blastomeres, demonstrating that the in vitro development step is able to generate good quality embryos from grade III oocytes. Therefore, some oocytes that in general would be discarded will develop to blastocysts and may represent benefits, especially after ovum pick-up from genetically valuable goats.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.015
GPT teacher head0.246
Teacher spread0.232 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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