Regulation of neural stem cells by innervating neurons
Bibliographic record
Abstract
The adult central nervous system (CNS) hosts several niches, in which the neural stem and precursor cells (NPCs) reside. The subventricular zone (SVZ) lines the lateral brain ventricles and the subgranular zone (SGZ) is located in the dentate gyrus of the hippocampus. SVZ and SGZ NPCs replace neurons and glia in the homeostatic as well as diseased or injured states. Recently, NPCs have been found to express neurotransmitter receptors, respond to electrical stimulation and interact with neurons, suggesting that neuron-NPC communication is an emerging critical regulator of NPC biology. In this review, we discuss reports that demonstrate neuronal innervation and control of the neurogenic niches. We discuss the role of innervating neurons in regulating NPC fates, such as activation, proliferation, and differentiation. Our review focuses primarily on the innervation of the SVZ niche by the following neuronal types: glutamatergic, GABAergic projection and interneurons, cholinergic, dopaminergic, serotonergic, neuropeptidergic, nitrergic, and noradrenergic. We also discuss the origins of SVZ niche innervating neurons, such as striatum, cortex, basal ganglia, raphe nuclei, substantia nigra and ventral tegmental area, hypothalamus, and locus coeruleus. Our review highlights the various roles of innervating neurons in SVZ NPC fates in a spatiotemporal manner and emphasizes a need for future investigation into the impact of neuronal innervation on NPC gliogenesis.
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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 | 0.001 |
| 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".