Ultrastructural characterization of the mesostriatal dopamine innervation in mice, including two mouse lines of conditional VGLUT2 knockout in dopamine neurons
Bibliographic record
Abstract
Despite the increasing use of genetically modified mice to investigate the dopamine (DA) system, little is known about the ultrastructural features of the striatal DA innervation in the mouse. This issue is particularly relevant in view of recent evidence for expression of the vesicular glutamate transporter 2 (VGLUT2) by a subset of mesencephalic DA neurons in mouse as well as rat. We used immuno-electron microscopy to characterize tyrosine hydroxylase (TH)-labeled terminals in the core and shell of nucleus accumbens and the neostriatum of two mouse lines in which the Vglut2 gene was selectively disrupted in DA neurons (cKO), their control littermates, and C57BL/6/J wild-type mice, aged P15 or adult. The three regions were also examined in cKO mice and their controls of both ages after dual TH-VGLUT2 immunolabeling. Irrespective of the region, age and genotype, the TH-immunoreactive varicosities appeared similar in size, vesicular content, percentage with mitochondria, and exceedingly low frequency of synaptic membrane specialization. No dually labeled axon terminals were found at either age in control or in cKO mice. Unless TH and VGLUT2 are segregated in different axon terminals of the same neurons, these results favor the view that the glutamatergic cophenotype of mesencephalic DA neurons is more important during the early development of these neurons than for the establishment of their scarce synaptic connectivity. They also suggest that, in mouse even more than rat, the mesostriatal DA system operates mainly through non-targeted release of DA, diffuse transmission and the maintenance of an ambient DA level.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".