Phospholipid flippase ATP11A brokers uterine epithelial integrity and function
Bibliographic record
Abstract
Uterine adaptations driven by the steroid hormones estrogen and progesterone are pivotal for embryo implantation and, ultimately, for a successful pregnancy. Here, we show in mice that genetic ablation of the membrane lipid flippase Atp11a causes severe deficits in this hormonal response and profound defects in the morphological organization and transcriptional profile of the uterine epithelial compartment where Atp11a is expressed. Atp11a -null uterine epithelial cells lack tight junctions, and the luminal epithelium exhibits profound disruptions to cellular morphology. Interestingly, the specification of luminal epithelial cells remains incomplete as they maintain expression of the normally gland-restricted marker FOXA2. The uterine glands of Atp11a -null females are depleted for progenitor cells marked by SOX9, PAX8, LGR5, and PROM1. Collectively, these findings point to a uterine receptivity deficit that underpins the frequent failure of Atp11a -depleted females to establish a successful pregnancy. Most intriguingly, however, loss of only a single functional Atp11a allele causes a higher frequency of abnormal placental trophoblast differentiation as well as a higher incidence of developmental heart defects in wild-type embryos. These data emphasize the far-reaching impact of uterine dysfunction on reproductive outcome and highlight the importance of the maternal genotype in the etiology of developmental disorders.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".