Modulation of CD11b/CD18 Adhesive Activity by Its Extracellular, Membrane-Proximal Regions
Bibliographic record
Abstract
The integrin receptor CD11b/CD18 is normally kept in a low adhesive state and can be activated by many different agents. However, the mechanism underlying receptor activation is not yet fully understood. We hypothesized that the extracellular, membrane-proximal regions of CD11b/CD18 are critically involved in modulation of its adhesive functions. To test our hypothesis, we perturbed the extracellular, membrane-proximal regions of individual CD11b and CD18 subunits and studied their effect on ligand binding, receptor clustering, and lipid raft association. We report here three major findings: 1) perturbation of the extracellular, membrane-proximal region of either subunit leads to enhanced adhesion, caused by changes in receptor conformation, but not the state of receptor clustering or lipid raft association; 2) the CD11b subunit plays a more important role in confining the receptor in an inactive state; and 3) upon modification of the extracellular, membrane-proximal region, the mutant CD11b/CD18 acquires the ability to respond to stimulation by "inside-out" signaling. Our results suggest that the extracellular, membrane-proximal region of the receptor plays an important role in integrin activation and therefore could be targeted by certain cell surface proteins as a conduit to control the integrin "inside-out" signaling process.
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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".