Bibliographic record
Abstract
Mouse zygotes and early cleavage-stage embryos have previously been shown to utilize glycine as an organic osmolyte, accumulating it to oppose any decrease in cell volume. Such glycine uptake in early cleavage-stage mouse embryos is via the glycine-specific Gly transporter. Mouse embryos also possess swelling-activated channels which function to release osmotically active glycine and other osmolytes when cell volume becomes too large. In this study it was found that human cleavage-stage embryos also transported glycine via a similarly saturable, sarcosine-inhibitable transporter, implying that the Gly transporter also mediates glycine transport in human embryos. Mouse zygotes have previously been shown to accumulate more intracellular glycine when cultured at increased osmolarities for 24 h. It was found in the current study that this ability was lost as preimplantation mouse embryo development proceeded, and that early cleavage-stage human embryos may also be capable of such osmosensitive accumulation of glycine. Finally, using spare human eggs which had failed to fertilize or cleave, the presence of swelling-activated currents resembling those in mouse zygotes was demonstrated. These data indicate that osmoregulation in early human embryos occurs via similar mechanisms as in the mouse.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".