Conversations on the sacred and spirituality in consumer behavior
Bibliographic record
Abstract
Neural stem cells proliferate and differentiate into neurons and glial cells, being responsible for embryonic and postnatal development of the central nervous system (CNS) as well as for regeneration in the adult brain. These cells also play a key role in maintaining the physiological integrity of the CNS in face of injury or disease. The previous study has demonstrated that bradykinin (BK) treatment simultaneously induces neuronal enrichment (indicating that BK contributes to neurogenesis) and reduced proliferation rates during in vitro differentiation of rat embryonic telencephalon neural precursor cells (NPCs). Here, we provide a mechanism for the unresolved question whether (i) the low rate of proliferation is owed to enhanced neurogenesis or, conversely, (ii) the alteration of the population ratio could result from low proliferation of NPCs and glial cells. In agreement with the previous study, BK promoted neuron-specific β3-tubulin and MAP2 expression in differentiating embryonic mouse neurospheres, whereas glial protein expression and global proliferation rates decreased. Furthermore, BK augmented the global frequency of cells in G0 -phase of cell cycle after differentiation. Heterogeneous cell populations were observed at this stage, including neurons that always remaining a quiescent state (G0 -phase). It is noteworthy that BK did not interfere with proliferation of any particular cell type, evidenced by coimmunostaining for nestin, β3-tubulin, glial fibrillary acidic protein (GFAP), and 5-ethynyl-2'-deoxyuridine (EdU). Thus, we conclude that neuronal enrichment is owing only to the fostering of neurogenesis, and that the low proliferation rate on the seventh day of differentiation is a consequence and not the cause of BK-induced neuronal enrichment.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".