Recent advances on T-cell regulation by receptor tyrosine kinases
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review summarizes recent knowledge on the role of receptor tyrosine kinases, particularly erythropoietin-producing hepatocyte kinases (Ephs), in T-cell function and development. RECENT FINDINGS: Erythropoietin-producing hepatocyte kinase function and signaling in the immune system have been recently investigated. Cross-linking some Ephs results in T-cell costimulation and reduces the response threshold of T-cell receptor activation. In vivo, T-cell-mediated responses are compromised in EphB6-/- mice. Some Ephs are shown to control T-cell migration and adhesion, as well as the integrity of lymphoid organ structure. SUMMARY: Ephs are the largest family of receptor tyrosine kinases. Some Ephs are expressed in the lymphoid organs. Ephrins, ligands of Ephs, are also cell surface molecules. Cross-linking of certain Ephs facilitates T-cell activation and proliferation. Under physiologic conditions, such cross-linking by ephrins likely occurs in lymphoid organs, where ephrins on T cells interact with ephrins on the surface of neighboring fraternal T cells or antigen-presenting cells; this may explain why T-cell responses are more effectively initiated in the lymphoid organs. Certain Ephs are also critical for lymphocyte adhesion and migration and for proper lymphoid organ structure. Ephs and ephrins are highly redundant and their interactions promiscuous, suggesting pivotal roles of these molecules in biology. Conversely, such redundancy represents a major challenge to further dissection of the function of individual Ephs. Multiple tissue-specific gene null mutations on Ephs or ephrins will likely reveal more interesting immune-related phenotypes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".