Lentil-Lectin Affinity Chromatography of Surface Glycoproteins and the Receptor for IgE from Rat Basophilic Leukemia Cells
Bibliographic record
Abstract
Surface proteins and glycoproteins of RBL cells were labelled enzymatically with 125I and then solubilized with Nonidet P-40. Analysis by polyacrylamide-gel electrophoresis in SDS on 10% gel revealed 10 distinctive peaks ranging in molecular weights from 17,000 to 200,000 daltons. Mainly components of higher molecular weights were bound by lentil-lectin Sepharose and could be eluted with alpha-methyl mannoside. The receptor for IgE was clearly shown to bind to the lentil-lectin. A second cell surface component which previously had been shown to bind to IgE-Sepharose as well, was found to bind only slightly to lentil-lectin. Thus, it can be concluded that the receptor for IgE is a glycoprotein with mannose and/or N-acetylglucosamine in the carbohydrate moiety(s).
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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 | 0.000 | 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".