Esrrb function is required for proper primordial germ cell development in presomite stage mouse embryos
Bibliographic record
Abstract
Estrogen related receptor beta (Esrrb) is an orphan nuclear receptor that is required for self-renewal and pluripotency in mouse embryonic stem (ES) cells. However, in the early post-implantation mouse embryo, Esrrb is specifically expressed in the extraembryonic ectoderm (ExE) and plays a crucial role in trophoblast development. Previous studies showed that Esrrb is also required to maintain trophoblast stem (TS) cells, the in vitro stem cell model of the early trophoblast lineage. In order to identify regulatory targets of Esrrb in vivo, we performed microarray analysis of Esrrb-null versus wild-type post-implantation ExE, and identified 30 genes down-regulated in Esrrb-mutants. Among them is Bmp4, which is produced by the ExE and known to be critical for primordial germ cell (PGC) specification in vivo. We further identified an enhancer region bound by Esrrb at the Bmp4 locus by performing Esrrb ChIP-seq and luciferase reporter assay using TS cells. Finally, we established a knockout mouse line in which the enhancer region was deleted using CRISPR/Cas9 technology. Both Esrrb-null embryos and enhancer knockout embryos expressed lower levels of Bmp4 in the ExE, and had reduced numbers of PGCs. These results suggested that Esrrb functions as an upstream factor of Bmp4 in the ExE, regulating proper PGC development in mice.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".