Polysialic acid regulates the clustering, migration, and neuronal differentiation of progenitor cells in the adult hippocampus
Why this work is in the frame
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Bibliographic record
Abstract
Newborn cells of the adult dentate gyrus in the hippocampus are characterized by their abundant expression of polysialic acid (PSA), a carbohydrate attached to the neural cell adhesion molecule (NCAM). PSA+ newborn cells of the dentate gyrus form clusters with proliferating neural progenitor cells, migrate away from these clusters, and terminally differentiate. To identify the roles of PSA in the development of adult progenitors of the dentate gyrus, we injected endoneuraminidase N (endoN) into the hippocampus of adult rats to specifically cleave PSA from NCAM. Two days later, we administered the mitotic marker, 5-bromo-2'-deoxyuridine (BrdU). Three days after BrdU injection, BrdU+ cells were found inside and outside the clusters of newborn cells. In endoN-treated animals, the total number of BrdU+ cells was not changed but significantly more BrdU+ cells were present within clusters, suggesting that PSA normally facilitates the migration of progenitors away from the clusters. Seven days post-BrdU injection, endoN-treated animals had significantly more BrdU+ cells which were also positive for the mature neuronal nuclear marker NeuN compared with controls, indicating that the loss of PSA from progenitor cells increases neuronal differentiation. This report is the first demonstration that PSA is involved in controlling the spatio-temporal neuronal maturation of adult hippocampal progenitors in the normal brain. In vitro, the removal of PSA from adult-derived neural progenitors significantly enhanced neuronal differentiation, strengthening our in vivo findings and indicating that PSA removal on isolated progenitor cells, apart from a complex in vivo environment, induces neuronal maturation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it