Bibliographic record
Abstract
Eph kinases are the largest family of cell surface receptor tyrosine kinases. The ligands of Ephs, ephrins (EFNs), are also cell surface molecules. Ephs interact with EFNs and the receptors and ligands transmit signals in both directions, i.e., from Ephs to EFNs and from EFNs to Ephs. Ephs and EFNs are widely involved in various developmental, physiological pathophysiological processes. Our group and others have reported the roles of Ephs/EFNs in the immune system. To further investigate the function of EphBs/EFNBs in T cell development and responses, we generated EFNB1, EFNB2, EphB4 conditional gene knockout (KO) mice and EFNB1/2 double KO mice. In the projects using EFNB1 and EFNB2 knockout mice, we specifically deleted EFNB1 or EFNB2 in T cells. The mice had normal size and cellularity of the thymus and spleen as well as normal T cell subpopulations in these organs. The bone marrow progenitors from KO mice and WT mice repopulated the host lymphoid organs to similar extents. The activation and proliferation of KO T cells was comparable to that of control mice. Naïve KO CD4 cells differentiated into Th1, Th2, Th17 and Treg cells similar to naïve control CD4 cells. In EFNB2 KO mice, we observed a significant relative increase of CD4CD8 double negative thymocytes in the thymus. Flowcytometry analysis revealed that there was a moderate increase in the DN3 subpopulation in the thymus. This suggests that EFNB2 is involved in thymocyte development. Our results indicate that the functions of EFNB1 and EFNB2 in the T cell compartment could be compensated by each other or by other members of the EFN family, and that such redundancy safeguards the pivotal roles of EFNB1 and EFNB2 in T cell development and function. In the project using EFNB1/B2 double knockout (dKO) model, we revealed a novel regulatory function of EFNb1 and EFNb2 in stabilizing IL-7Rα expression on the T cell surface. IL-7 plays important roles in thymocyte development, T cell homeostasis and survival. IL-7Rα undergoes internalization upon IL-7 binding. In the dKO mice, we observed reduced IL-7Rα expression in thymocytes and T cells. Moreover, the IL-7Rα internalization was accelerated in dKO CD4 cells upon IL-7 stimulation. In T cell lymphoma cell line, EL4, over-expression of either EFNB1 or EFNB2 retarded the internalization of IL-7Rα. We further demonstrated compromised IL-7 signaling and homeostatic proliferation of dKO T cells. Mechanism study using fluorescence resonance energy transfer and immunoprecipitation demonstrated that physical interaction of EFNB1 and EFNB2 with IL-7Rα was likely responsible for the retarded IL-7Rα internalization. In the last project, using medullary thymic epithelial cell (mTEC)-specific EphB4 knockout mice, we investigated T cell development and function after EphB4 deletion in mTEC. EphB4 KO mice demonstrated normal thymic weight and cellularity. T cell development and function were not influenced by the EphB4 deletion. Lastly, the KO mice developed normal delayed type hypersensitivity. Overall, our results suggest that comprehensive cross interaction between Eph and EFN family members could compensate function of a given deleted member in the T cell development, and only simultaneous deletion of multiple EFNBs will reveal their true function in the immune system. In fact, such redundancy signifies vital roles of Ephs and EFNs in the immune system.
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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".