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Record W1560426125 · doi:10.1071/rdv16n1ab25

25 COLD STORAGE OF TISSUES AS SOURCE FOR DONOR CELLS DOES NOT REDUCE THE IN VITRO DEVELOPMENT OF BOVINE EMBRYOS FOLLOWING NUCLEAR TRANSFER

2004· article· en· W1560426125 on OpenAlexafffund
Sezen Arat, F. Ergin, Hakan Sağırkaya, Hande Odaman Mercan, András Dinnyés

Bibliographic record

VenueReproduction Fertility and Development · 2004
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of Guelph
FundersInternational Council for Canadian StudiesNatural Sciences and Engineering Research Council of CanadaTürkiye Bilimsel ve Teknolojik Araştırma KurumuOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsSodium pyruvateAndrologyFetal bovine serumExplant cultureBiologySomatic cell nuclear transferCold storageCryopreservationIn vitroBlastocystMolecular biologyChemistryEmbryoEmbryogenesisCell biologyBiochemistryMedicineHorticulture

Abstract

fetched live from OpenAlex

So far, most calves have been cloned from live adult cows or fresh fetal samples. There are few reports on using cells from a dead mammal for nuclear transfer (NT). This study was conducted to investigate whether different kind of viable cells could be obtained from tissues stored in cold for different duration and whether these cells could be used for NT. Bovine oocytes isolated from slaughterhouse ovaries were matured in TCM199 supplemented with 10% fetal calf serum (FCS), 50 µg mL-1 sodium pyruvate, 1% v:v penicillin-streptomycin (10.000 U mL-1 penicillin G, 10.000 µg mL-1 streptomycin), 10 ng mL-1 EGF, 0.5 µg mL-1 FSH, and 5 µg mL-1 LH. First cell line (CC) was established from articular cartilage of the leg of a slaughtered cow stored at 0°C in a cold storage room for 48 h. Second cell line (MC) was established from leg muscle of a cow carcass stored at 0°C for 24 h. Tissues from articular cartilage and muscle were cut into small pieces. Tissue explants were cultured in DMEM-F12 supplemented with 10% FBS at 37°C in 5% CO2 in air. Bovine granulosa cells (GC) were isolated from ovarian follicles and used for NT as control cells. Prior to NT, all somatic cells were allowed to grow to confluency (G1/G0) in DMEM-F12 supplemented with 10% FBS. Cumulus cells were removed by vortexing with hyaluronidase at 18 h after the start of maturation. Matured oocytes labeled with DNA fluorochrome Hoechst 33342 were enucleated under UV to ensure full removal of the chromatin. A single cell was inserted into the perivitelline space of the enucleated oocyte. Oocyte-cell couples were fused by a DC pulse of 133V/500 µm for 25 µs. After fusion, NT units were activated using a combination of calcium ionophore (5 µM), cytochalasin D (2.5 µg mL-1), and cycloheximide (10 µg mL-1), and cultured for 7 days. Differences among groups were analyzed by one-way ANOVA after arcsin square transformation. The results are summarized in Table 1. The results suggest that viable cells can be obtained from articular cartilage and muscle of a cow carcass stored at cold temperature for 24 and 48 h and these cells have ability to generate NT blastocysts at rates similar to that of the controls. This study was supported by a grant from TUBITAK, Turkey (VHAG-1908-102V048). F Ergin is a volunteer young researcher. Table 1 In vitro development of NT embroys from different cell lines

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.023
GPT teacher head0.267
Teacher spread0.243 · 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 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

Citations6
Published2004
Admission routes2
Has abstractyes

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