Spatial Interaction of the L‐type Calcium Channel with α <sub>5</sub> β <sub>1</sub> Integrin
Bibliographic record
Abstract
α 5 β 1 integrins play essential roles in modulating neuronal and vascular smooth muscle cell function by altering Ca 2+ entry through the L‐type calcium channel (Ca L ). We previously demonstrated that an increase in Ca 2+ current following α 5 β 1 integrin activation is mediated by PKA and Src phosphorylation of Ca L . Here, the spatial interaction of Ca L with α 5 β 1 integrin was examined using immunofluorescence (IF) confocal microscopy and co‐immunoprecipitation (IP). HEK293 cells expressing neuronal Ca L were plated on an extracellular matrix substrate prior to IF or IP. Co‐association of Ca L with β 1 integrin was only detectable by IP in cells plated on fibronectin (FN), not on poly‐l‐lysine. By IF, about 60% of wild type (WT) Ca L co‐localized with β 1 integrin on FN, using paxillin‐vinculin colocalization as a reference. Marginal decreases (~90% of WT) in the degree of Ca L colocalization with β 1 integrin were seen for Ca L constructs missing the proline‐rich domain (PRD) or the last 281 amino acid residues (Stop5). By IP, the degree of Ca L co‐association with β 1 integrin on FN was decreased to 59% and 79% of WT in the PRD and the Stop5 mutants, respectively. Significantly less co‐association (12% of WT) of Ca L with β 1 integrin was observed in a Ca L construct with altered phosphorylation sites for both PKA and Src. In patch clamp studies, α 5 β 1 integrin activation increased Ca L current by 107% in WT, 10% in the Stop5 mutant, and by 88% in the PRD mutant. Overall, our data suggest that the co‐association of Ca L with β 1 integrin depends on the activation of β 1 integrin by FN and subsequent phosphorylation of Ca L by PKA
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".