Progranulin (acrogranin/PC cell‐derived growth factor/granulin‐epithelin precursor) is expressed in the placenta, epidermis, microvasculature, and brain during murine development
Bibliographic record
Abstract
The growth factor progranulin (acrogranin/PC-derived growth factor/granulin-epithelin precursor) promotes onset of blastocyst cavitation and is required for neonatal hypothalamic sexual differentiation. Little is known, however, of the range of developmental processes in which it is involved. We used in situ hybridization to investigate progranulin expression in murine embryos. Progranulin mRNA is expressed in maternal and embryonic components during early establishment of pregnancy. Abundant expression is observed in the early decidualizing uterine stroma and glands. In the embryo, the trophoblast giant cells at the interface of placental exchange sites (both choriovitelline and chorioallantoic placenta) show strong expression. The gastrulating epiblast and mesenchyme (intraembryonic and extraembryonic mesenchyme) all revealed activity. The allantois and yolk sac mesenchyme (site of early hemopoiesis) were positive, as were later phases of active vessel formation (pia mater of brain, epicardium of the heart). In the urogenital system, it was expressed in Sertoli cells and in kidney tubules. It was highly expressed in proliferating epidermal cells. During epidermal appendage formation, the early epithelial bud was positive, but the forming duct and differentiating adjacent mesenchyme was negative. It is widely distributed during central nervous system development and the peripheral nervous system (dorsal root ganglia and sympathetic ganglia). Based on the pattern of progranulin gene expression, we propose proliferative and developmental roles for progranulin in establishing pregnancy, during gastrulation, and during embryonic development of the epidermis, nervous system, blood vessel, formation, and spermatogenesis.
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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 | 0.000 | 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) | 0.001 | 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".