Calcineurin–Rcan1 Interaction Contributes to Stem Cell Factor–Mediated Mast Cell Activation
Bibliographic record
Abstract
The receptor for stem cell factor (SCF) is expressed on mast cells and hematopoietic progenitors. SCF-induced signaling pathways remain incompletely defined. In this study, we identified calcineurin and regulator of calcineurin 1 (Rcan1) as novel components in SCF signaling. Calcineurin activity was induced in SCF-stimulated primary mouse and human mast cells. NFAT was activated by SCF in bone marrow-derived mast cells (BMMCs) and mouse bone marrow cells, which contain hematopoietic progenitors. SCF-mediated activation also induced expression of Rcan1 in BMMCs. Rcan1-deficient BMMCs showed increased calcineurin activity and enhanced transcriptional activity of NF-κB and NFAT, resulting in increased IL-6 and TNF production following SCF stimulation. These results suggest that Rcan1 suppresses SCF-induced activation of calcineurin and NF-κB. We further demonstrated that SCF-induced Rcan1 expression is dependent on the transcription factor early growth response 1 (Egr1). Interestingly, SCF-induced Egr1 was also suppressed by Rcan1, suggesting a negative regulatory loop between Egr1 and Rcan1. Together, our findings revealed that calcineurin contributes to SCF-induced signaling, leading to NFAT activation, which, together with NF-κB and Egr1, is suppressed by Rcan1. Considering the wide range of biological functions of SCF, these novel regulatory mechanisms in SCF signaling may have broad implications.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".