Discoidin domain receptor 1 expression in activated T cells is regulated by the ERK MAP kinase signaling pathway
Bibliographic record
Abstract
The expression and function of discoidin domain receptor 1 (DDR1) in T cells are still poorly explored. We have recently shown that activation of primary human T cells via their T cell receptor leads to increased expression of DDR1, which promoted their migration in three-dimensional collagen. In the present study, we provide evidence that activated T cells bind collagen through DDR1. We found that the DDR1:Fc blocking molecule significantly reduced the ability of activated T cells to bind soluble biotinylated collagen. However, DDR1:Fc had no impact on the adhesion of activated T cells to collagen and overexpression of DDR1 in Jurkat T cells did not enhance their adhesion. Together, our results indicate that DDR1 can promote T cell migration without enhancing adhesion to collagen, suggesting that it can contribute to the previously described amoeboid movement of activated T cells in collagen matrices. Our results also show that CD28, in contrast to IL-2 expression, did not costimulate the expression of DDR1 in primary human T cells. Using specific inhibitors, we demonstrated that TCR-induced expression of DDR1 in T cells is regulated by the Ras/Raf/ERK MAP Kinase and PKC pathways but not by calcium/calcineurin signaling pathway or the JNK and P38 MAP Kinases. Thus, our study provides additional insights into the physiology of DDR1 in T cells and may therefore further our understanding of the regulatory mechanisms of T cell migration.
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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 | 0.000 |
| 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".