Dual Functions of Bruton’s Tyrosine Kinase and Tec Kinase during Fcγ Receptor-Induced Signaling and Phagocytosis
Bibliographic record
Abstract
Tec family nonreceptor tyrosine kinases are expressed by hematopoietic cells, activate phospholipase C (PLC)gamma, and regulate cytoskeletal rearrangement, yet their role in FcgammaR-induced signaling and phagocytosis remains unknown. We demonstrate in this study that Bruton's tyrosine kinase (Btk) and Tec, the only Tec kinases expressed by RAW 264.7 cells, are activated throughout phagocytosis. Activated Btk and Tec kinase accumulate at an early stage at the base of phagocytic cups and inhibition of their activity by the specific inhibitor LFM-A13 or expression by small interfering RNA significantly inhibited FcgammaR-induced phagocytosis. Similarly, a significant role for these kinases in phagocytosis was found in primary macrophages. FcgammaR-induced activation of Mac-1, which is required for optimal phagocytosis, was markedly inhibited and our findings suggest that the roles of kinases Btk and Tec in Mac-1 activation account for their functions in the early stages of phagocytosis. Initial activation of PLCgamma2, the predominant PLC isoform in RAW 264.7 cells, is dependent on Syk. In contrast, a late and prolonged activation of PLCgamma2 was dependent on Btk and Tec. We found accumulation of diacylglycerol (DAG), a PLCgamma product, in phagosome membranes, and activated Btk, but not Tec, colocalized with phagosomal DAG. Inhibition of Tec family kinase activity increased the level of DAG in phagosomes, suggesting a negative regulatory role for Btk. Tec, in contrast, clustered at sites near phagosome formation. In summary, we elucidated that Tec family kinases participate in at least two stages of FcgammaR-mediated phagocytosis: activation of Mac-1 during ingestion, and after phagosome formation, during which Btk and Tec potentially have distinct roles.
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".