Characterization of calcium currents in functionally mature mouse spinal motoneurons
Bibliographic record
Abstract
Motoneurons integrate synaptic input and produce output in the form of trains of action potentials such that appropriate muscle contraction occurs. Motoneuronal calcium currents play an important role in the production of this repetitive firing. Because these currents change in the postnatal period, it is necessary to study them in animals in which the motor system is 'functionally mature', that is, animals that are able to weight-bear and walk. In this study, calcium currents were recorded using whole-cell patch-clamp techniques from large (> 20 microm) ventral horn cells in lumbar spinal cord slices prepared from mature mice. Ninety percent (nine out of 10) of the recorded cells processed for choline acetyltransferase were found to be cholinergic, confirming their identity as motoneurons. A small number of motoneurons were found to have currents with low-voltage-activated (T-type) characteristics. Pharmacological dissection of the high-voltage-activated current demonstrated omega-agatoxin-TK- (P/Q-type), omega-conotoxin GVIA- (N-type), and dihydropyridine- and FPL-64176-sensitive (L-type) components. A cadmium-sensitive component of the current that was insensitive to these chemicals (R-type) was also seen in these cells. These results indicate that the calcium current in lumbar spinal motoneurons from functionally mature mice is mediated by a number of different channel subtypes. The characterization of these calcium channels in mature mammalian motoneurons will allow for the future study of their modulation and their roles during behaviours such as locomotion.
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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".