Spatial Association between L‐type Calcium Channels and Integrins
Bibliographic record
Abstract
Current through the L‐type calcium channel (Cav1.2) is enhanced by α 5 β 1 integrin activation in vascular smooth muscle cells and neurons. We examined the spatial association between α 5 β 1 integrin and Cav1.2 using Cav1.2 mutants either with truncation of the Cav1.2 C‐terminal region just proximal to the PKA phosphorylation site at Ser 1901 (stop5) or missing the two C‐terminal proline rich domains between amino acids 1955–1973 (dp1/p2). The effects on Cav1.2 current and integrin interaction were determined using co‐immunoprecipitation (IP) and patch clamp recording of Cav1.2 current in HEK293 cells transfected with wild type (WT) or mutant neuronal Cav1.2 cDNA. After integrin activation with α 5 β 1 integrin antibody, current was potentiated by 107% in WT Cav1.2, by 10% in the stop5 mutant, and by 88% in the dp1/p2 mutant. Co‐association of Cav1.2 with β 1 integrin was detected by IP in cells plated on fibronectin (FN), but not on poly‐l‐lysine. On FN, notably less co‐association of Cav1.2 with β 1 integrin was seen in the dp1/p2 mutant (59% of WT, p<0.05), but only slightly less co‐association with β 1 integrin was seen in the stop5 mutant (79% of WT). Lack of correlation between the patch clamp and IP data may result either from the differences in the timing of integrin activation in the two protocols and/or by a requirement for other regulatory regions in Cav1.2 that mediate acute signaling events upon integrin activation. Overall, our data suggest that regions in the C‐terminal of Cav1.2 are crucial for association with β 1 integrin, but their roles in modulating the effects of integrin activation on Cav1.2 need further investigation.
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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 | 0.001 | 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".