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Record W2032898079 · doi:10.1017/s0967199401001058

Expression and localisation of heat shock protein 70 in cultured bovine oocytes and embryos

2001· article· en· W2032898079 on OpenAlexaff
Sheldon Kawarsky, W.A. King

Bibliographic record

VenueZygote · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHsp70EmbryoAndrologyHeat shock proteinCytoplasmMessenger RNAIn vitroBiologyChemistryMolecular biologyCell biologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Effects of elevated in vitro temperature on in vitro produced early bovine embryos were analysed in order to determine its impact on the expression of heat shock protein 70 (hsp70). In vitro matured bovine oocytes, 2-cell and 8-cell embryos, and day 9 hatched blastocysts subjected to control and elevated temperature conditions were analysed by semiquantitative reverse transcription polymerase chain reaction methods for hsp70 mRNA expression. Results revealed the expression of hsp70 mRNA under control conditions and that early embryos can respond to heat stress by transcribing hsp70 mRNA. Confocal laser scanning microscopy used to localise the hsp70 protein in oocytes and embryos revealed that the distribution of hsp70 in the ooplasm of immature and mature oocytes is unaffected by exposure to elevated temperatures and that this protein was closely associated with the meiotic spindle, indicating its possible role in stabilising this structure. In 8-cell embryos derived under control conditions, hsp70 was evenly distributed in the cytoplasm but appeared as aggregates in some embryos exposed to elevated temperature. In heat-stressed hatched blastocysts, a more even distribution was noted following heat stress relative to corresponding controls, indicating their competence to respond to elevated temperature.

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 score0.004
Threshold uncertainty score0.310

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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

Citations50
Published2001
Admission routes1
Has abstractyes

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