Capture and Qualitative Analysis of the Activated Fc Receptor Complex from Live Cells
Bibliographic record
Abstract
This unit describes the isolation of activated Fc receptor complexes from RAW 264.7 macrophages using live-cell affinity receptor chromatography (LARC). The Fc receptor complex is activated and captured by IgG-coated microbeads on the surface of live macrophages. After the cells are disrupted, the receptor complexes are isolated by washing and sucrose gradient ultracentrifugation. Soluble proteins associated with the receptor complex are then eluted from the beads using a stepwise series of salt buffers and aqueous acetonitrile. The eluted proteins and the residual insoluble proteins on the beads can then be digested with trypsin and subjected to liquid chromatography, electrospray ionization, and tandem mass spectrometry (LC-ESI-MS/MS). Controls include IgG-coated beads incubated with crude cell lysates or growth medium and beads coated with oxidized LDL or bovine serum albumin. Using this method, proteins present in IgG-FcR complexes can be distinguished from those in control scavenger receptor complexes (oxLDL or BSA). Thus, LARC is capable of detecting specific members of IgG receptor supramolecular complexes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".