Calreticulin Is at the Surface of Circulating Neutrophils and Uses CD59 as an Adaptor Molecule
Bibliographic record
Abstract
Calreticulin, which has been proposed to be a C1q receptor on neutrophils, has neither a transmembrane domain nor a GPI-anchor attachment site and must utilize an adaptor molecule to attach to the plasma membrane. The expression of ecto-calreticulin on purified human neutrophils did not result from contamination by soluble or intracellular calreticulin released during cell fractionation because it was expressed on circulating neutrophils, and the expression did not increase significantly with neutrophil isolation. All neutrophils expressed calreticulin with a unimodal distribution. Treatment of neutrophils with either a cholesterol-binding agent or phosphatidylinositol-specific phospholipase C dramatically decreased ecto-calreticulin expression indicating that the adaptor molecule(s) are located in lipid rafts and have a GPI-anchor. Analysis for the co-expression of specific GPI-anchored proteins and ecto-calreticulin in cells that were deficient in specific GPI-anchored proteins, indicated that ecto-calreticulin was best associated with CD59. Calreticulin reciprocally immunoprecipited with CD59, which provided direct evidence that CD59 is an adaptor for ecto-calreticulin. Immunofluorescence and confocal microscopy demonstrated that ecto-calreticulin co-localized with a fraction of CD59 at the cell surface. Cross-linking ecto-calreticulin with antibodies induced a Ca2+ flux, which suggests that ecto-calreticulin is capable of signaling following ligand binding. Ecto-calreticulin has been associated with diverse cellular functions. An appreciation that the adaptors for ecto-calreticulin are GPI-anchored will provide a framework for understanding any common features underlying ecto-calreticulin ligation.
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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".