Tec Kinase Itk Forms Membrane Clusters Specifically in the Vicinity of Recruiting Receptors
Bibliographic record
Abstract
The Tec family of tyrosine kinases transduces signals from antigen and other receptors in cells of the hematopoietic system. In particular, interleukin-2 inducible T cell kinase (Itk) plays an important role in modulating T cell development and activation. Itk is activated by receptors via a phosphatidylinositol 3-kinase-mediated pathway, which results in recruitment of Itk to the plasma membrane via its pleckstrin homology domain. We show here that membrane localization of Itk results in the formation of clusters of at least two molecules within 80 A of each other, which is dependent on the integrity of its pleckstrin homology domain. By contrast, the proline-rich region within the Tec homology domain, SH3 or SH2 domains, or kinase activity were not required for this event. More importantly, these clusters of Itk molecules form in distinct regions of the plasma membrane as only receptors that recruit phosphatidylinositol 3-kinase reside in the same membrane vicinity as the recruited Itk. Our results indicate that Itk forms dimers in the membrane and that receptors that recruit Itk do so to specific membrane regions.
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 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".