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Record W2049019945 · doi:10.1002/mrd.22117

Cell volume regulation in mammalian oocytes and preimplantation embryos

2012· review· en· W2049019945 on OpenAlexafffund
Jay M. Baltz, Chenxi Zhou

Bibliographic record

VenueMolecular Reproduction and Development · 2012
Typereview
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsBiologyOocyteGerminal vesicleCell biologyEmbryoZona pellucidaBlastocystInner cell massEmbryogenesis

Abstract

fetched live from OpenAlex

The earliest stages of preimplantation embryos are particularly sensitive to increased osmolarity, even within the physiological range. This sensitivity contributed to persistent developmental arrest, even when embryos were cultured in vitro in older, conditioned culture media, and seems to arise when embryos at the 1- and 2-cell stages accumulate inorganic ions used for cell volume homeostasis at too high a level, through activation of coupled Na(+)/H(+) and HCO(3)-/Cl(-) exchange. Such accumulation of inorganic ions can be disruptive since, above a certain level, the increased ionic strength disrupts cellular biochemistry and macromolecular functions and alters membrane potential. To counter this, embryos have evolved mechanisms of cell volume regulation that are unique to early preimplantation embryogenesis. The primary role of these is glycine accumulation via the GLYT1 transporter, with a secondary contribution by betaine accumulation via the SIT1 transporter. Independent cell-volume regulation first arises in the oocyte only after ovulation is triggered, when the strong oocyte-zona pellucida adhesion present in germinal vesicle stage oocytes in the ovarian follicle is released and GLYT1 becomes activated to begin accumulating glycine. Open questions still remain regarding how these processes are regulated.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.042
GPT teacher head0.300
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations41
Published2012
Admission routes2
Has abstractyes

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