Laminin‐induced aggregation of the inwardly rectifying potassium channel, Kir4.1, and the water‐permeable channel, AQP4, via a dystroglycan‐containing complex in astrocytes
Bibliographic record
Abstract
Dystroglycan (DG) is part of a multiprotein complex that links the extracellular matrix to the actin cytoskeleton of muscle fibers and that is involved in aggregating acetylcholine receptors at the neuromuscular junction. This complex is also expressed in regions of the central nervous system where it is localized to both neuronal and glial cells. DG and the inwardly rectifying potassium channels, Kir4.1, are concentrated at the interface of astroglia and small blood vessels. These channels are involved in siphoning potassium released into the extracellular space after neuronal excitation. This raises the possibility that DG may be involved in targeting Kir4.1 channels to specific domains of astroglia. To address this question, we used mixed hippocampal cultures to investigate the distribution of DG, syntrophin, dystrobrevin, and Kir4.1 channels, as well as aquaporin-permeable water channels, AQP4. These proteins exhibit a similar distribution pattern and form aggregates in astrocytes cultured on laminin. Both DG and syntrophin colocalize with Kir4.1 channel aggregates in astrocytes. Similarly, DG colocalizes with AQP4 channel aggregates. Quantitative studies show a significant increase of Kir4.1 and AQP4 channel aggregates in astrocytes cultured in the presence of laminin when compared with those in the absence of laminin. These findings show that laminin has a role in Kir4.1 and AQP4 channel aggregation and suggest that this may be mediated via a dystroglycan-containing complex. This study reveals a novel functional role for DG in brain including K+ buffering and water homeostasis.
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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 | 0.001 |
| 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".