Molecular and electrophysiological evidence for the expression of BK channels in oligodendroglial precursor cells
Bibliographic record
Abstract
Changes in intracellular Ca(2+) play a key role in regulating gene expression and developmental changes in oligodendroglial precursor cells (OPCs). However, the mechanisms by which Ca(2+) influx in OPCs is controlled remains incompletely understood. Although there are several mechanisms that modulate Ca(2+) influx, in many systems the large-conductance, voltage- and Ca(2+) -activated K(+) channel (BK channel) plays an important role in regulating both membrane excitability and intracellular Ca(2+) levels. To date, the role of the BK channel in the regulation of intracellular Ca(2+) in oligodendroglial lineage cells is unknown. Here we investigated whether cells of the oligodendroglial lineage express BK channels and what potential role they play in regulation of Ca(2+) influx in these cells. In oligodendrocytes derived from differentiated adult neural precursor cells (NPCs, obtained from C57bl6 mice) we observed outward currents that were sensitive to the BK channel blocker iberiotoxin (IbTx). Further confirmation of the expression of the BK channel was obtained utilizing other blockers of the BK channel and by confocal immunofluoresence labelling of the BK channel on oligodendroglia. Using Fura-2AM to monitor intracellular Ca(2+) , it was observed that inhibition of the BK channel during glutamate-induced depolarization led to an additive increase in intracellular Ca(2+) levels. Electrophysiological difference currents demonstrated that the expression levels of the BK channel decrease with developmental age. This latter finding was further corroborated via RT-PCR and Western blot analysis. We conclude that the BK channel is involved in regulating Ca(2+) influx in OPCs, and may potentially play a role during differentiation of oligodendroglial lineage cells.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".