A Transmembrane Leucine Zipper Is Required for Activation of the Dimeric Receptor Tyrosine Kinase DDR1
Bibliographic record
Abstract
Receptor tyrosine kinases of the discoidin domain family, DDR1 and DDR2, are activated by different types of collagen and play important roles in cell adhesion, migration, proliferation, and matrix remodeling. In a previous study, we found that collagen binding by the discoidin domain receptors (DDRs) requires dimerization of their extracellular domains (Leitinger, B. (2003) J. Biol. Chem. 278, 16761-16769), indicating that the paradigm of ligand-induced receptor dimerization may not apply to the DDRs. Using chemical cross-linking and co-immunoprecipitation of differently tagged DDRs, we now show that the DDRs form ligand-independent dimers in the biosynthetic pathway and on the cell surface. We further show that both the extracellular and the cytoplasmic domains are individually dispensable for DDR1 dimerization. The DDR1 transmembrane domain contains two putative dimerization motifs, a leucine zipper and a GXXXG motif. Mutations disrupting the leucine zipper strongly impaired collagen-induced transmembrane signaling, although the mutant DDR1 proteins were still able to dimerize, whereas mutation of the GXXXG motif had no effect. A bacterial reporter assay (named TOXCAT) showed that the DDR1 transmembrane domain has a strong potential for self-association in a biological membrane and that this interaction occurs via the leucine zipper and not the GXXXG motif. Our results demonstrate that the DDRs exist as stable dimers in the absence of ligand and that receptor activation requires specific interactions made by the transmembrane leucine zipper.
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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 | 0.001 |
| 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".