Synaptotagmins I and II in the developing rat auditory brainstem: Synaptotagmin I is transiently expressed in glutamate‐releasing immature inhibitory terminals
Bibliographic record
Abstract
The lateral superior olive (LSO), a nucleus in the auditory brainstem, computes interaural intensity differences for sound localization by comparing converging excitatory and inhibitory inputs that carry tonotopically matched information from the two ears. Tonotopic refinement in the inhibitory projection pathway from the medial nucleus of the trapezoid body (MNTB) is known to be established during the first postnatal week in rats. During this period, immature MNTB terminals in the LSO contain vesicular transporters for both inhibitory and excitatory amino acids and release glutamate. The primary Ca(2+) sensors for vesicular release in the CNS are understood to be synaptotagmins, and in adult auditory brainstem synaptotagmin 2 is the predominant synaptotagmin. We asked here whether a different Ca(2+) sensor might be expressed in the immature auditory brainstem. We have found that synaptotagmin 1 is indeed expressed transiently in the immature auditory brainstem, most highly in those areas that receive glutamate-releasing immature inhibitory inputs from the MNTB, and that during the first postnatal week synaptotagmin 1 co-localizes with the vesicular glutamate transporter VGLUT3, a marker of glutamate-releasing immature inhibitory terminals from the MNTB. We suggest that immature MNTB terminals may contain two populations of synaptic vesicles, one expressing the vesicular inhibitory amino acid transporter together with synaptotagmin 2 and another expressing VGLUT3 together with synaptotagmin 1. Because Ca(2+) sensing is an important determinant of release properties for the presynaptic terminal, differential expression of the synaptotagmins might allow the differential release of excitatory and inhibitory neurotransmitters in response to differing patterns of neural activity.
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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".