The role of the novel ion channel TRPM7 in B cell activation (IRM12P.655)
Bibliographic record
Abstract
Abstract The process of B cell spreading and the formation of signalling BCR microclusters are critical to the effective activation of B cells. These processes are dependent on the actin cytoskeleton; however the molecular pathways leading to reorganization of the actin cytoskeleton upon B cell encounter with membrane-bound antigen are poorly understood. Recent work has highlighted a potential role for the novel ion channel protein Transient receptor potential cation channel, subfamily M, member 7 (TRPM7) in actomyosin reorganization. Intriguingly, this protein also contains a kinase domain, and thus, TRPM7 may play an important role in receptor-mediated signal transduction by phosphorylating downstream effector molecules. Interestingly, studies in B cells have implicated TRPM7 kinase in the regulation of phospholipase C (PLC), a key BCR signalling molecule and critical regulator of B cell spreading and the formation of BCR microclusters. Here, we show that TRPM7 plays a critical role in the early events of B cell activation through both its ion channel and kinase functions. B cells deficient in TRPM7 or expressing a point mutation which abolishes phosphotransferase activity show increased antigen accumulation and prolonged BCR signalling. Our data suggests this is likely due to altered actomyosin organization and defective antigen internalization.
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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 | 0.001 | 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".